Subscribe to our weekly newsletters for free

Subscribe to an email

If you want to subscribe to World & New World Newsletter, please enter
your e-mail

Diplomacy
Presidente da República, Luiz Inácio Lula da Silva, Sessão de abertura do IV Fórum CELAC-China. China National Convention Center II, Pequim - China. Foto - Ricardo Stuckert / PR Lula Oficial, CC BY-SA 2.0 <https://creativecommons.org/licenses/by-sa/2.0>,

China and the Trump corollary to the Monroe Doctrine

by Tings Chak

China’s policy paper supports the “Proclamation of Latin America and the Caribbean as a Zone of Peace” — a pointed contrast to US twenty-first century gunboat diplomacy. On December 10, 2025, US forces seized the oil tanker Skipper off the coast of Venezuela, carrying over a million barrels of crude. “Well, we keep [the oil],” President Trump told reporters. Venezuela’s foreign ministry called it “blatant theft and an act of international piracy,” adding: “The true reasons for the prolonged aggression against Venezuela have finally been revealed. It has always been about our natural wealth, our oil.” That same day, on the other side of the world, China released its third Policy Paper on Latin America and the Caribbean (the first since 2016) outlining a vision of partnership “without attaching any political conditions.” The timing captures the choice now facing Latin America. Two documents released within a week — Trump’s National Security Strategy (NSS) on December 5 and China’s policy paper five days later — lay bare fundamentally different approaches to the hemisphere. The Monroe Doctrine returns Trump’s NSS makes no pretense of diplomatic subtlety. It declares a ‘Trump Corollary’ to the Monroe Doctrine, asserting US opposition to “hostile foreign incursion or ownership of key assets” in the hemisphere. The Western Hemisphere is now America’s “highest priority”, with three threats requiring military response: migration, drugs, and China. Countries seeking US assistance must demonstrate they are “winding down adversarial outside influence” — a demand that Latin American nations cut ties with Beijing. The strategy promises “targeted deployments” and “the use of lethal force” against cartels. It states that Washington will “reward and encourage the region’s governments … aligned with our principles and strategies.” Unsurprisingly, the US Secretary of State Marco Rubio rushed to congratulate Chile’s Trump-inspired extreme right wing candidate José Antonio Kast, who won the presidency with 58% of the vote (the most right-wing leader since Pinochet). The tanker seizure shows what this doctrine looks like in practice. Since September, US strikes on boats have killed 95 people. The USS Gerald R. Ford carrier group patrols the Caribbean. As Colombian President Gustavo Petro observed, Trump is “not thinking about the democratization of Venezuela, let alone the narco-trafficking” — only oil. After declaring that a new phase of attacks could include “land strikes on Venezuela”, Trump threatened the Colombian president that “he’ll be next” as well as invasion of Mexico. China’s alternative China’s policy paper operates from an entirely different premise. Opening by identifying China as “a developing country and member of the Global South,” it positions the relationship as South-South cooperation and solidarity rather than great power competition. The document proposes five programs: Solidarity, Development, Civilization, Peace, and People-to-People Connectivity. What distinguishes this paper from its 2008 and 2016 predecessors is its explicit call for “local currency pricing and settlement’ in energy trade to “reduce the impact of external economic and financial risks” — new language directly addressing the weaponization of the dollar. This trend has been underway, as highlighted by the R$157 billion (USD 28 billion) currency swap agreement between Brazil and China, signed during Brazilian president Lula’s visit to the Asian country in May this year. China’s policy paper supports the “Proclamation of Latin America and the Caribbean as a Zone of Peace” — a pointed contrast to US twenty-first century gunboat diplomacy. And it contains a line clearly responding to Washington’s pressure: “The China-LAC relationship does not target or exclude any third party, nor is it subjugated by any third party.” The historical pattern Of course, the focus on the “China threat” to “US pre-eminence” in the region is not new. In August 1961, progressive Brazilian Vice President João Goulart visited China, the first high-ranking Latin American official to do so after the Chinese Revolution. At a mass rally in Beijing, he declared that China showed “how a people, looked down upon by others for past centuries, can emancipate themselves from the yoke of their exploiters.” The US response was swift. American media constructed a narrative linking Brazilian agrarian reform movements to a “communist threat from China.” On April 1, 1964 (less than three years after Goulart’s visit) a US-backed military coup overthrew him. Twenty-one years of dictatorship followed. The playbook remains the same. In the 1960s, the pretext was “communist threat”; today it’s “China threat.” And what’s at stake is Latin American sovereignty. What makes this moment different is economic weight. China-LAC trade reached a record US$518.47 billion in 2024, according to China’s Ministry of Commerce. China’s share of trade with Mercosur countries has grown from 2% to 24% since 2000. At the May 2025 CELAC-China Forum, Xi Jinping announced a USD 9 billion investment credit line. In 1964, Latin America had few alternatives. Today, China presents another option. The question before the Latin American people The right-wing surge across the continent is undeniable — Kast in Chile, Milei in Argentina, the end of MAS rule in Bolivia. These victories reflect the limitations of progressive governments when addressing crime, migration, and economic stagnation. But they also reflect how US-generated crises become the terrain on which the right wins. The question is whether Latin American governments (including right-wing ones) want to be subordinates in what Trump’s strategy calls an “American-led world.” Even Western liberal analysts are alarmed. Brookings describes the NSS as “essentially assert[ing] a neo-imperialist presence in the region.” Chatham House notes that Trump uses “coercion instead of negotiation”, contrasted with China, “which has been providing investment and credit … without imposing conditions.” That being said, China’s presence in Latin America is not without contradictions. The structure of trade remains imbalanced — Latin America exports raw materials and imports manufactured goods. Meanwhile, labor and environmental concerns linked to specific Chinese private enterprises cannot be ignored. Whether the relationship enables development or reproduces dependency depends on what Latin American governments demand: technology transfer, local production, industrial policy. This agenda for a sovereign national project must be pushed forward by the Latin American people and popular forces. At present, the differences between the two visions being presented of the “US-led world” and a “community with a shared future” have never been starker. This article was produced by Globetrotter. The original article is under a CC BY-SA license

Diplomacy
USA and China trade relations, cooperation strategy. US America and China flags on chess pawns soldiers on a chessboard. 3d illustration

New World Order: China vs the United States

by Manuel Alejandro Nuñez Vilcabana

Abstract This research article seeks to analyze the current geopolitical landscape, specifically the strategic confrontation between China and the United States and its impact on the international context. In this regard, the concept of the “World Order” refers to the hegemony that the United States held in the West following the end of the Cold War. Over the years, a new concept emerged, the “New World Order,” which defines the relationships that develop after a historical stage of international hegemony. The research begins by defining the variable “World Order” and its evolution into the “New World Order.” It then focuses on post-Cold War U.S. foreign policy, which shaped the course of the West. This is followed by an analysis of China’s foreign policy in recent years, which has generated a shift in the international paradigm. Finally, the study aims to analyze the confrontation between both countries for global hegemony through various international policies and geopolitical strategies. In conclusion, the concept of the “New World Order” for the 21st century is based on the strategic rivalry between China and the United States within an increasingly multipolar system. Both countries have defined foreign policies: the United States seeks to maintain hegemony, while China aims to create an international environment in which all participants can benefit. The conflict itself defines the “New World Order.” Keywords: China, United States, New World Order, geopolitics, international economy. Introduction Currently, there is an ongoing struggle between two powerful states that influence the reality of other countries around the world: the United States and China. These economic and military powers are at an impasse. On one hand, the United States seeks to maintain its influence and hegemony in the West, setting the agenda in international organizations and resolving global conflicts according to its own rules. On the other hand, China, which has a historical rivalry with the U.S., has become the world’s second-largest economy due to its economic development and has joined powers such as Russia and India to counter the US ambitions. The old “World Order” is in decline, making it necessary to update this category of international relations and define what the “New World Order” is, what it consists of, why it emerges, and, above all, how it could be addressed. For this reason, this research article first defines what is understood by the “World Order.” It then analyzes the crisis of this “World Order” in the 21st century, which has led to the emergence of a “New World Order” spearheaded by China’s rise on the international stage. The study continues by examining the United States and the general actions it has taken to reach this critical point, followed by an analysis of the Chinese Communist Party under Xi Jinping’s leadership, and finally, it explores how this confrontation impacts international reality. World Order To understand the concept of “World Order,” it is necessary to begin with a preliminary conceptual analysis of its underlying roots. “Hegemony” and “Power” are two key concepts for understanding the definition of “World Order.” “Hegemony” can be understood as the midpoint between the processes of influence and dominance in interstate relations, beyond its legal content in public or international law. The term has been used by Marxist and structuralist currents, but for general understanding, hegemony is predominantly the ability to lead or direct others. This can be understood from any perspective, whether international, social, or interpersonal. (Bobbio & Matteucci, 1981a) Hegemony cannot be understood without the exercise of power. In this context, power in the social sphere is the capacity of one person to influence another. A person becomes both agent and object simultaneously; the one who exercises power over another has the ability to influence decisions, activities, motivations, and more. (Bobbio & Matteucci, 1981b) The hegemonic process is explained through the exercise of power. “Power”, being the ability to influence an external agent, inherently requires being prepared to surpass this external agent in order to maintain a constant exercise of power and prevent, under any circumstances, the influenced agent from reacting and obstructing the full exercise of power. Consequently, it can be understood that the “World Order” is viewed from a hegemonic structural perspective, where the power exercised by one party — in this case, a country or countries — is largely consensual. This differs from a non-hegemonic order, where multiple actors coexist and compete for dominance over others. Even so, a notable distinction exists with respect to domination, which is the factual exercise of power. In other words, domination can exist without hegemony. (Cox, 2013) Naturally, under this definition, one might assume that the “World Order” follows a linear historical trajectory, with a clear beginning, middle, and end, along with defined actors and positions. This, however, is not the case. The “World Order” is a process marked by constant crises, emerging actors as they develop economically, socially, and militarily, specific interests seeking to influence others, and, above all, a continuous struggle for being the state at the top. (Schulz, 2023) Historically, the concept of “World Order” emerged after the Cold War. Another way to understand the term is through the hegemony of a political-economic model, materialized in the social and cultural expressions of countries. After the Cold War, a “neoliberal” model was established and adopted by most Western countries to perpetuate U.S. interests. Through “liberal” or “neoliberal” policies, a process of domination or hegemony is observed. (Duque-Vargas, 2021) Over the years, academia has reevaluated global events and defined categories through historical processes, which, due to circumstances, reemerge with new actors and in different geographic locations. Today, the concept of the “Cold War” is used as a framework to understand the struggle between powers. The so-called “New Cold War” refers to the confrontation between the U.S. and either Russia or China (Sanz Díaz & Sáenz-Rotko, 2022). It does not describe warfare in the same sense as from 1947 to 1991 but rather as a model of confrontation between powers, with the U.S. as a constant actor. From a political-philosophical perspective, liberalism has been and continues to be widely debated. To simplify — since defining this current is beyond the scope of this study — liberalism is politically expressed in liberal democracies and economically in the opening of markets to the international context and the development of capitalism as an economic model. (Bobbio & Matteucci, 1981b) Today, debate persists around the concept of “neoliberalism,” which emerges from liberalism, and no definitive canon has been established. Therefore, this term will not be defined to avoid straying from the focus of the study. Finally, the concept of “World Order” adopted for this study is a fusion of the concepts previously analyzed. The political-economic model in most Western countries over the past twenty-five years has been liberal democracy, imposed by the United States after the Cold War, expressed through culture, education, language, and other societal aspects, and continues to this day. (Dabat & Leal, 2019) In summary, the concept of “World Order” reflects the understanding that the United States maintained global hegemony over the past twenty-five years. This was due to its superior economic and military capacity, which shaped the political actions of other Western countries that adopted the pre-established model (liberal democracy). This allowed the U.S. to stimulate its market, thereby reinforcing and perpetuating its hegemony. Crisis of the 20th-Century “World Order” The World Order is affected by constant crises, as previously noted, but it is currently in a phase referred to as the “Interregnum.” This definition, noted by Gramsci, is understood as the midpoint where nothing is fully defined. It is a neutral moment, where there is neither progress nor regression, reached either because the dominant forces are unable to maintain their hegemony without detaching from coercive tools or, conversely, because the forces of change are insufficient to achieve their objectives. (Sanahuja Perales, 2022) This “stalemate” generates conflicts not only between countries but also within society itself. The post-capitalist economic model responds to this issue. Due to the technological rise of mass communication (social media) and the constant need to produce to sustain the model, problems of social identity emerge. As the identity of the “self” disappears, the identity of the “we” is eliminated; society itself disappears, leaving only a sum of undefined societies with shared problems such as anxiety and depression, which validate themselves through social media that consumes them. (Touraine & Guilpain Peuliard, 2016) The “World Order” after the Cold War established a globalizing mechanism that led to a paradigm of worldwide impoverishment, which is paradoxical to the intended outcome. This can be explained by the fact that the new production model adopted by large corporations sought to regress in social standards, promoting increased profits and reduced costs. This led major factories to relocate to countries where social policies were more easily circumvented, ignoring the regulations of their countries of origin, nullifying the consequences of their actions, and impoverishing the capacity of these populations to recover economically and socially. Consequently, this created not only a model of economic crisis but also a process of global social injustice with long-term consequences. (Chomsky, 2001) It is important to understand that the 20th-century “World Order” was not only afflicted by moral issues but also by global crises, such as the COVID-19 pandemic. In this context, international organizations demonstrated their inability to prevent the very problems they were originally established to address. It is essential for international organizations to promote new guidelines that cover sensitive issues such as global health. Within this framework, the “New World Order” is characterized by a human-centered approach and common development objectives. (Caldera Ynfante, 2020) To address the challenge of identifying problems affecting the international community, CEPLAN developed a series of nine “megatrends,” which are: population aging, increased global urbanization, a poly-nodal world, growing social inequalities and persistent social conflicts, crises of liberalism and globalization, changes in disease patterns and health systems, scarcity of natural resources, climate change and environmental degradation, and accelerated technological innovation and development. While these megatrends focus on the Peruvian context, they were formulated considering international agendas such as the 2030 Agenda and prospective analyses. (Observatorio Nacional de Prospectiva, n.d.) Emergence of the “New World Order” Under these circumstances, it becomes necessary to renew definitions and ask: are we still in the post–Cold War era? The answer is no, and it is necessary to present updated sociological and international relations categories. For this reason, the term “New World Order” is used when analyzing factors such as deindustrialization, failures in multilateralism, and the emergence of new powers capable of determining and imposing new positions. (Ramírez Montañez & Sarmiento Suárez, 2021) A large amount of studies presents a central point: the United States is losing its hegemonic control. This can be explained by the policies adopted by different governments, the economic decline due to historical recessions such as that of 2008, the absence of a political model to replace the failed attempt at liberal democracy in the region, internal social crises caused by various factors, and the emergence of China as an antagonist to its objectives. (Lechuga Cardozo & Leyva Cordero, 2020) United States and Hard Power The foreign policy of the United States has been widely studied by international relations scholars. It is often the focus of imaginative interpretations that sometimes verge on the absurd. Naturally, it is necessary to study such an important country with historical and economic significance with objectivity. After the September 11 attacks on the Twin Towers, U.S. foreign policy took on a singular purpose: to be the world’s foremost power. This entails determining the direction of global affairs, whether through diplomatic or coercive means — military or economic. The various tools used to achieve this purpose have included multilateralism (as seen during the Obama and Biden administrations) and the radical unilateralism presented by Trump. (Domínguez López, 2021) This doctrine, however, has a history that predates the Twin Towers. Following the collapse of the Soviet Union and the end of the Cold War, the United States promoted the creation of international organizations, learning from the failures of those established after World War I. These new international organizations were intended to preserve peace and develop new mechanisms for political and economic cooperation. Naturally, as the victorious power of both World Wars, and in the absence of a figure of comparable stature, the U.S. determined the future of these organizations, their purposes, and their rules. (Barbé, 1995) It is therefore necessary to understand that U.S. domestic policy effectively became its foreign policy. In other words, every state seeks to maintain order within its territory, continuously develop, and achieve a peak that can be consistently surpassed. This was how the United States viewed the world: as its canvas. (Lascano, Vedia & Colotta, 2020) Theoretically, the U.S. has a clear distinction from other states regarding hard power. Hard power is defined as a country’s military capability at strategic points around the world. The United States maintains military bases in various parts of the globe, on islands and specific territories, to impose its authority. (Peña Galindo, 2018) This military power is accompanied by economic power derived from arms development. War serves as a mean to develop the American industry, whose involvement — necessary from a business standpoint, though not necessarily military — has become central to debates due to the close relationship between political power, state structure, and the military-industrial complex. (Lorden Zeddies, 2023) The US model has been vigorously copied by various political figures. For example, Jair Bolsonaro, a member of Brazil’s right-wing party, positioned himself as a “Latin American Trump.” (Rodrigues, 2019) This demonstrates the influence of American doctrine on Western countries. Bolsonaro is not the only figure in the region; others include Javier Milei and Nayib Bukele, while in Europe, Giorgia Meloni serves as a counterpart. In the most recent U.S. elections held on November 5, 2024, Donald Trump won the presidency of the White House again. This would be his second term, and his positions, rather than moderating, became increasingly radical. His slogan, “Make America Great Again,” calls for a historical revision of what the United States represented in the world, from a colonialist perspective. Additionally, his various speeches against Mexican immigrants have been characterized as xenophobic. (Bussaja, 2024) It is evident, then, that the U.S. stance continues to be one of maintaining dominance and hegemony. The New Giant: China Xi Jinping assumed leadership of the People’s Republic of China in 2013. His first objective was the creation of a “New Silk Road,” referencing the Silk Road of the 2nd century that connected Europe, Africa, and Asia. This new route was designed to connect China with the rest of the world, opening its markets and leaving behind its historically insular past. (Zhongguo, 2019) This initiative also reflects the early stages of Jinping’s domestic policy based on soft power. The theory of soft power defines a country’s influence through economic strategy. In other words, it involves intervening in international markets to the extent necessary — or even obligatory — for the countries involved in the global landscape. In most cases, this is manifested through the accumulation of ports in different countries, controlled or financed by a single nation, with priority given to these key points as essential for its development. (Peña Galindo, 2018) This strategy not only promotes the economic development of a state but also enables the formulation of new political relationships. In China’s case, we see outreach to Japan, India, and Russia. (Rosas, 2008) Naturally, China initially sought to engage with these countries due to geographic proximity, but over time, and with the growth of its industry, it sought relationships with more distant nations. In Latin America and the Caribbean, China has established various agreements on economic, political, and social cooperation. However, as can be inferred, these initiatives have limitations due to China’s cultural gaps; while China seeks to open its cultural world to Latin America — and vice versa — the result is not an intercultural process but rather a multicultural one. (Staiano, 2019) This approach poses a challenge for the United States. In Latin America, the U.S. has historically held strong influence, but its challenges in various areas have allowed China to enter Latin markets freely. Countries in the region are not indifferent to China’s initiatives. The Chinese market offers cheaper products, more technologically advanced goods, and cultural visibility for the general public. (Zapata & Martínez-Hernández, 2020) A clear example of China’s soft power in South America is the Chancay mega-port in Peru. This port opens multiple opportunities for the region and the world. Asian products cost less and take fewer days to arrive. It increases tariff revenue in Peru and promotes the development of economic corridors in the region. (Villagra, 2023) Finally, China’s strategy is historically grounded in the “Century of Humiliation,” a historical period that continues to affect the Chinese Communist Party’s self-perception. Since China’s opening to the international market, measures have been taken to achieve the overarching goal: to “cleanse” its history. Communication strategies such as the “Wolf Warrior Diplomacy,” Peripheral Diplomacy, and its new international relations model based on win-win principles have made Xi Jinping one of the most recognized and lauded leaders when evaluated objectively in historical context. (Mazuelos Chávez, 2022) China vs. the United States The power dynamic between the U.S. and China has persisted over time. During his presidency, Obama made decisions that marked a rapprochement with China, but this paradigm shifted under Trump’s administration, which adopted a protectionist and nationalist policy line, culminating in a tariff war in 2018. China, on the other hand, maintained its party ideals, and under Xi Jinping, distanced itself from any hegemonic ambitions, promoting economic engagement with peripheral countries, respect for international organizations, and goodwill in international politics. (Barrera G et al., 2021) China’s stance is evident in the increase of exports to various countries. In multiple conferences, President Xi Jinping consolidated China’s economic openness, generating investment confidence in other countries by presenting a strong economic ally that does not interfere in domestic politics. Furthermore, economic exchanges benefit both parties. (Xu, 2021) Thus, on one hand, the U.S. seeks to protect its economy by radicalizing protectionist measures, triggering a tariff war, disturbing the international context, and increasing tensions with the Asian continent. Meanwhile, China’s economic model functions effectively as long as it opens itself to other countries, proposing alliances that mutually benefit both sides. Consequently, in the years leading up to the coronavirus pandemic, a confrontation between China and the U.S. was anticipated. By 2021, all signs pointed to an inevitable economic clash. Beyond tariff measures, questions arose as to whether China might repeat the same mistakes the U.S. made in managing hegemony, which have been analyzed over time and through unfolding events. (Gerig, 2021) Under these tensions, the U.S. emphasized that its intentions revolved more around physical warfare than economic conflict. Unlike China, the U.S. has allies that are more strategically positioned militarily but weaker economically. This is why a military agenda is promoted: in a hypothetical conflict, U.S. military capacity, combined with access to the Atlantic and Pacific Oceans, its military bases, and its industrial complex, would tilt the balance of war in its favor. Strategically, China has greater capacity to influence peripheral markets, making it difficult for the U.S. to initiate a conflict, as it would lack long-term trading partners, discouraging its production chain. (Gerig, 2021) Eventually, both countries need each other to maintain economic and technological development. China has independently developed innovative technologies but requires a large market to justify its multi-million-dollar investments, while the U.S. keeps many of its factories in China due to low labor costs. Trump’s first-term policies were later moderated by Biden, who adopted a more conciliatory approach, opening diplomatic channels while still emphasizing the importance of maintaining U.S. hegemony. (Fernández Tabío, 2022) So, where did this confrontation materialize? By 2023, Latin America became the preferred arena for both countries. Both sides recognized its importance, and peripheral economies were the center of attention. The notable difference between the two was, once again, their engagement strategy. The U.S. took a coercive approach toward Panama, whereas China approached Peru through port investments, creating new maritime routes that benefit the entire southern continent. (Carbajal-Glass, 2023) By 2024, with Trump’s second administration, the U.S. strongly opposed the rise of Asia, returning to isolationism. China maintained its perspective of mutual cooperation, while the U.S. pursued a militaristic stance, attempting to obstruct China’s cooperative development with Latin America and India. Even so, U.S. efforts were insufficient to prevent Asia’s engagement with other Western countries. Currently, China holds significant influence in Europe, Africa, and Latin America. (Nascimento, 2024) Discussion After conducting this comprehensive analysis of the “World Order” and its evolution into the “New World Order,” it becomes clear that the struggle for hegemony occurs between China and the United States. This confrontation is primarily economic, although it has cultural, military, social, and political dimensions. It is not comparable to the Cold War, but the term is used as a representation of a past that seems to echo in the present. (Crivelaro Neto, 2024) The “New World Order” for the 21st century represents a context of economic, political, military, cultural, and social crisis. The confrontation between these two major powers defines the current trajectory of the world. Countries that lack the capacity to participate in this confrontation (peripheral economies) nevertheless become geostrategic points of contention. This is evident in the case of Latin America. The diplomatic and cooperative relationships that China has built in recent years have strengthened its ability to confront the United States. (Rosas, 2008) The geopolitical landscape is fraught with uncertainty generated by the development of the conflict itself, making it difficult to establish definitive guidelines or perspectives in the analysis. The U.S., through its foreign policy, seeks to maintain its hegemony. Donald Trump exemplifies this approach. The American perspective is to prevent any other country from determining what should be done. This approach is not only aimed at countering China, which has become its primary adversary, but also applies to other countries, including the European Union, which remains its ally. China presents itself as the leader of this “New World Order” through its alliances in Asia and Latin America because it possesses the greatest capacity to confront the U.S., withstand policies directed against it, and develop new strategies through economic and technological development, preventing the U.S. from achieving international stability. The global reality (New World Order) is, in any case, a multipolar system. Finally, the United States faces multiple challenges. Since the COVID-19 pandemic, several events have contributed to its weakening. Moreover, the Biden administration has left a significant debt to the American people, and the crisis of liberal democracies continues to deepen. Trump represents the American mindset, while Xi Jinping is its most important adversary. This confrontation will ultimately be resolved with a single winner in a zero-sum equation. Conclusions Addressing the main objective of this research, the “New World Order” projected for the 21st century is the conflict between China and the United States. This impasse, as discussed, represents a deadlock in the international arena. It is necessary to allow more time for events to unfold. In due course, a winner will emerge in this economic contest. Nevertheless, it is undeniable that the United States remains at the forefront, and figures such as Donald Trump clearly exemplify the country’s continued hegemonic perspective. In the case of China, Xi Jinping’s government has marked a decisive shift in foreign policy, achieving what the reform and opening period did not: transforming China into an international market. Only time will determine whether it can withstand U.S. measures. Furthermore, it is essential to closely observe, despite the party’s secrecy, the geopolitical actions that the Chinese Communist Party undertakes. Finally, the confrontation between the United States and China, in economic terms, is real and affects the entire world. It impacts the development of new international policies, the emergence of social and health crises, and the formulation of new bilateral agreements between states thousands of kilometers apart. This confrontation represents the “New World Order” — an order without a concrete order — something only time can define, perhaps as a precursor to an international paradigm shift. References Barbé, Esther. (1995). Relaciones internacionales. Tecnos. Barrera G, R. A., Suárez G, L., & Ospina, L. M. (2021). La balanza comercial de América Latina con China y Estados Unidos en el contexto de la guerra comercial entre Trump y Xi Jinping. Cuadernos Latinoamericanos de administración, 17(33). https://www.redalyc.org/journal/4096/409672512004/409672512004.pdf Bobbio, Norberto., & Matteucci, Nicola. (1981a). Diccionario de política. abcchdefghij (1a ed., Vol. 1). Siglo Veintiuno. Bobbio, Norberto., & Matteucci, Nicola. (1981b). Diccionario de política. klmnopqrstuvwxyz (1a ed., Vol. 2). Siglo Veintiuno. Bussaja, J. (2024). Make America Great Again (MAGA): The Covert Call for Colonialism’s Comeback. SSRN Electronic Journal, 1–11. https://doi.org/10.2139/SSRN.4790796 Caldera Ynfante, J. (2020). Biocracia y derecho fundamental al nuevo orden mundial en la postpandemia COVID-19. Utopía y Praxis Latinoamericana, 25(4), 33–48. https://doi.org/10.5281/zenodo.3931044 Carbajal-Glass, F. (2023). Riesgo político, seguridad y geopolítica: América Latina y la competencia estratégica Estados Unidos-China. URVIO Revista Latinoamericana de Estudios de Seguridad, 36, 104–117. https://doi.org/10.17141/URVIO.36.2023.5842 Chomsky, N. (2001). Democracia y mercados en el nuevo orden mundial. Globalización y sindicalismo, 1, 47–83. Cox, R. (2013). Fuerzas sociales, estados y órdenes mundiales: Más allá de la Teoría de Relaciones Internacionales. Relaciones Internacionales, 24, 129–162. https://repositorio.uam.es/bitstream/handle/10486/677391/RI_24_7.pdf Crivelaro Neto, D. (2024). CHINA X EUA: RESTABELECIMENTO DA COMPETIÇÃO PELA LIDERANÇA DA ECONOMIA MUNDIAL. Revista Contemporânea, 4(3), e3445. https://doi.org/10.56083/RCV4N3-178 Dabat, A., & Leal, P. (2019). Ascenso y declive de Estados Unidos en la hegemonía mundial. Problemas del desarrollo, 50(199), 87–114. https://doi.org/10.22201/IIEC.20078951E.2019.199.67934 Domínguez López, E. (2021). De Bush 43 a Biden: cambios en el sistema-mundo y ajustes de política exterior en Estados Unidos. Política Internacional, 3(2), 27–42. Duque-Vargas, N.-H. (2021). Educación para una cultura de paz en el orden mundial posguerra fría. Revista Guillermo de Ockham, 19(2), 277–292. https://doi.org/10.21500/22563202.4086 Fernández Tabío, L. R. (2022). Estados Unidos, geoeconomía y pugna hegemónica con China. Política Internacional, 4(3), 19–31. https://www.redalyc.org/pdf/7620/762081507003.pdf Gerig, M. (2021). El retorno de la Trampa de Tucídides: la Gran Estrategia de Estados Unidos y China frente a la disputa hegemónica desde la perspectiva de la economía política de sistemas-mundo. Geopolítica(s). Revista de estudios sobre espacio y poder, 12(1), 99–122. https://doi.org/10.5209/geop.68341 Lascano y Vedia, J. R., & Colotta, M. (2020). Formulación de una política exterior: su dimensión política y social. Revista Relaciones Internacionales, 29(59), 103–130. Lechuga Cardozo, J. I., & Leyva Cordero, O. (2020). Escenarios 2020 del Orden Mundial. Análisis desde la Prospectiva Estratégica. Ánfora, 27(48), 137–161. https://doi.org/10.30854/anf.v27.n48.2020.672 Lorden Zeddies, N. (2023). Defensa y negocios: el complejo industrial militar en los Estados Unidos [Universidad Europea]. https://titula.universidadeuropea.com/handle/20.500.12880/5577 Mazuelos Chávez, J. A. (2022). El sueño chino de rejuvenecimiento nacional y la política exterior bajo Xi Jinping. Agenda Internacional, 29(40), 31–55. https://doi.org/10.18800/agenda.202201.002 Nascimento, L. G. do. (2024). La geoeconomía y geopolítica de las rivalidades China-Estados Unidos en las estrategias del Asia-Pacífico vs Indo-Pacífico. Relaciones Internacionales, 57, 191–207. https://doi.org/10.15366/RELACIONESINTERNACIONALES2024.57.010 Observatorio Nacional de Prospectiva. (s. f.). Recuperado 16 de octubre de 2025, de https://observatorio.ceplan.gob.pe/megatendencia Peña Galindo, A. (2018). ¿Soft power o Hard power? Reflexiones teóricas sobre la política exterior brasileña. Revista Relaciones Internacionales y Estrategias de seguridad, 13(2), 97–121. https://dialnet.unirioja.es/descarga/articulo/6819790.pdf Ramírez Montañez, J., & Sarmiento Suárez, J. (2021). Nuevo orden internacional a inicios de la segunda década del siglo XXI. Estudios Internacionales, 52(197), 153–166. https://doi.org/10.5354/0719-3769.2020.55138 Rodrigues, G. (2019). ¿EL TRUMP DEL TRÓPICO? POLÍTICA EXTERIOR DE ULTRADERECHA EN BRASIL. Análisis Carolina, 06, 1–11. Rosas, M. C. (2008). China y Estados Unidos en el siglo XXI: ¿hacia una nueva bipolaridad? Comercio exterior, 58(3), 198–217. Sanahuja Perales, J. A. (2022). Interregno. La actualidad de un orden mundial en crisis. Nueva Sociedad, 302, 86–94. https://hdl.handle.net/20.500.14352/72807 Sanz Díaz, C., & Sáenz-Rotko, J. M. (2022). ¿Segunda Guerra Fría? Un análisis desde la Historia y las Relaciones Internacionales. Relaciones Internacionales, 51, 167–184. https://doi.org/10.15366/RELACIONESINTERNACIONALES2022.51.009 Schulz, J. S. (2023). Crisis sistémica del orden mundial, transición hegemónica y nuevos actores en el escenario global. Cuadernos de Nuestra América, 3, 34–50. https://ri.conicet.gov.ar/handle/11336/206913 Staiano, M. F. (2019). La relaciones internacionales entre China y América Latina: encontrando un camino común hacia un nuevo orden mundial. Anuario en Relaciones Internacionales del IRI, 1–10. http://sedici.unlp.edu.ar/handle/10915/95952 Touraine, Alain., & Guilpain Peuliard, Odile. (2016). El fin de las sociedades. Fondo de Cultura Económica. Villagra, M. E. (2023). Megapuerto de Chancay: Repercusiones en el Comercio Sudamericano e Impacto Geoestratégico. Revista Seguridad y Poder Terrestre, 2(2), 75–86. https://doi.org/10.56221/SPT.V2I2.28 Xu, Y. (2021). Los efectos internos de la apertura exterior de la Economía China [Universidad de Valladolid]. https://uvadoc.uva.es/bitstream/handle/10324/52272/TFG-J-341.pdf?sequence=1&isAllowed=y Zapata, S., & Martínez-Hernández, A. A. (2020). Latin American Foreign Policy before the hegemony of the United States and China’s emerging power. Colombia Internacional, 104, 63–93. https://doi.org/10.7440/COLOMBIAINT104.2020.03 Zhongguo, J. (2019). La Nueva Ruta de la Seda: Universalismo y pluriversalismo para un nuevo orden mundial. Memoria Académica, 32, 24–46. https://www.memoria.fahce.unlp.edu.ar/art_revistas/pr.13112/pr.13112.pdfInformaciónadicionalenwww.memoria.fahce.unlp.edu.ar

Diplomacy
Flag USA and China on Computer Chip . Global chip shortage crisis and China-United States trade war concept.

Leading States in the Race for Artificial Intelligence in the Current International System

by Danna Fernanda Mena Navarro

1. Introduction: AI as a Reconfiguration of the Global Order Artificial intelligence (AI) has become one of the most influential factors shaping the contemporary international system. Major powers are competing to lead the new technological revolution that impacts the economy, security, foreign policy, defense, communications, and scientific innovation. The development of AI depends on three strategic inputs: 1. Human talent (research, data engineering, mathematics, computer science). 2. Computational capacity and access to large volumes of data. 3. Robust innovation ecosystems, with companies, universities, and aligned industrial policies. Global spending on artificial intelligence is expected to exceed USD 52 billion over the next three years, consolidating AI as the central axis of the Fourth Industrial Revolution (IDC, 2023; Stanford AI Index Report, 2024). 2. Talent as a Global Strategic Resource More than 60% of top AI researchers work in the United States, and about half of them are immigrants, primarily from China, India, Europe, and Iran (Stanford AI Index Report, 2024). The so-called brain drain is not merely an academic issue, but a geopolitical one: • States compete to attract talent through visas, high salaries, and access to frontier laboratories. • Innovation in AI depends on who concentrates the largest amount of specialized human capital. The United States dominates due to its ability to attract international researchers, while China compensates through massive investment and domestic talent production. 3. The United States Leads the AI Race for Three Main Structural Reasons 1. Innovation, talent, and industry: The United States leads in high-impact research publications and AI startups (more than 50% worldwide). Private investment exceeded USD 350 billion in 2023 alone. Key companies include Google, Meta, Microsoft, OpenAI, NVIDIA, Tesla, and IBM, among others. 2. Computational infrastructure and chips: The country concentrates the most advanced computational infrastructure and controls cutting-edge chips (such as the NVIDIA H100), a resource that China cannot yet produce at the same level. 3. AI and national security: The United States allocates more than 16 federal agencies and billions of dollars annually to AI development for defense, cybersecurity, and intelligence (White House AI Budget, 2024). 4. China: The Emerging Superpower on the AI Path China ranks second globally in the AI race but follows a more aggressive, centralized, and ambitious strategy. • Massive investment as state policy: China has pledged to invest more than USD 150 billion by 2030 in AI under its Next Generation Artificial Intelligence Development Plan (AIDP) (Government of China, 2017). • Domestic talent production: China trains more AI engineers than any other country. Annual graduates in science and engineering reach 4.7 million, compared to 600,000 in the United States (UNESCO, 2023). However, a significant portion migrates to the U.S. due to better research conditions. • China’s role in the global AI industry: China leads in AI-based facial recognition, with generative AI startups such as Baidu, SenseTime, Alibaba Cloud, and Tencent AI Lab. It produces massive numbers of publications, although with lower scientific impact than those from the United States. AI is widely implemented in governance, security, and smart cities. • The chip dilemma: China depends on advanced semiconductors produced only by Taiwan (TSMC), South Korea (Samsung), and the United States/Netherlands (ASML). • Export controls: Export restrictions imposed on China since 2022 limit its ability to train frontier models, although the country is making radical investments to achieve chip sovereignty. 5. Europe, India, Israel, Canada, and Other Relevant Actors • Europe: The United Kingdom, Germany, France, and the Netherlands generate a solid ecosystem in algorithmic ethics, digital regulation (AI Act), and applied research. • India: The world’s main hub of engineering talent and a global provider of technological services. • Israel: A powerhouse in cybersecurity and military AI, with per-capita innovation comparable to Silicon Valley. • Canada: The birthplace of deep learning (Geoffrey Hinton, Yoshua Bengio) and a strong center for basic research. 6. Africa on the AI Chessboard: Intentions, Challenges, and Opportunities Although Africa does not lead the AI race, its geopolitical role is growing rapidly for four strategic reasons. Africa is a major producer of critical minerals. AI depends on lithium, cobalt, graphite, and rare earth elements, and Africa holds 70% of the world’s cobalt reserves (in the DRC), as well as other strategic minerals in Zambia, Namibia, South Africa, and Mozambique. This places the continent in a key position within the supply chains for batteries, computers, and data centers. There is also a rapid expansion of digital infrastructure. China, through Huawei and ZTE, has built around 70% of Africa’s 4G network, as well as Ethiopia’s first smart data center and technology innovation hubs in Egypt, Kenya, and South Africa. Africa is entering the AI space through fintech, digital health, smart agriculture, and biometric systems. In terms of AI policy, African countries with formal AI strategies include Egypt, Rwanda, Kenya, and South Africa. • Threats and challenges: limited computational infrastructure, a deep digital divide, the risk of dependence on external technological solutions, the use of AI for political surveillance (as seen in Ethiopia and Uganda), and a shortage of specialized talent. 7. China and Africa: The Intersection of AI, Data, and Geopolitics China combines its role in AI with its influence in Africa through investments in digital infrastructure, the sale of surveillance systems, the construction of data centers, and technical training programs. This creates interdependence but also raises concerns: Africa could become dependent on Chinese systems that are difficult to replace. Data may become centralized on foreign platforms, and the risk of a technological debt trap adds to existing financial dependence. 8. AI, Regulation, and Global Governance The rapid expansion of AI calls for international treaties on data use, security standards, limits on military automation, and ethical regulations to protect civil society. Governance will be decisive in determining not only who leads, but also how this technology will be used in the coming decades. In this context, global AI governance has become a new field of geopolitical competition. While the European Union promotes a regulatory approach based on human rights and risk prevention, the United States favors market self-regulation and innovation, and China advances a model of state control and technological sovereignty. Multilateral organizations such as the UN, the OECD, and the G20 have begun discussing common principles, but there is still no binding international regime. The absence of clear rules increases the risks of an algorithmic arms race, the use of AI for mass surveillance, and the deepening of global inequalities in access to and control over technology. 9. Conclusions The United States leads due to innovation, global talent attraction, and computational capacity. China follows closely with a comprehensive state-led strategy and dominance in global digital infrastructure. Europe, India, Israel, and Canada contribute key elements to the global ecosystem. Africa, while not a leader, occupies an increasingly strategic role due to its resources, data, markets, and alliances. The race for AI will define not only the global economy, but also the balance of power in the international system of the 21st century. References -Stanford University.(2024). AI Index Report 2024. Stanford Institute for Human-Centered Artificial Intelligence. https://hai.stanford.edu/ai-index/2024-ai-index-report?utm_source=chatgpt.com -International Data Corporation. (2023). Worldwide Artificial Intelligence Spending Guide. IDC. https://www.idc.com/data-analytics/spending-guide/ -State Council of the People’s Republic of China (2017). Next Generation Artificial Intelligence Development Plan. Government of China https://fi.china-embassy.gov -UNESCO. (2023). Global Education Monitoring Report: science, technology, engineering and mathematics. United Nations Educational, Scientific and Cultural Organization. https://www.unesco.org/en -The White House. (2024). Federal AI Budget and National AI Strategy. Executive Office of the President of the United States. https://www.whitehouse.gov/presidential-actions/2025/12/eliminating-state-law-obstruction-of-national-artificial-intelligence-policy/ -European Commission.(2023).Artificial Intelligence Act. Publications Office of the European Union. https://digital-strategy.ec.europa.eu/en/policies/regulatory-framework-ai -Organisation for Economic Co-operation and Development. (2023). OECD. Artificial Intelligence Policy Observatory. https://www.oecd.org/en/topics/artificial-intelligence.html

Diplomacy
President Donald Trump greets Chinese President Xi Jinping before a bilateral meeting at the Gimhae International Airport terminal, Thursday, October 30, 2025, in Busan, South Korea. (Official White House Photo by Daniel Torok)

Between Tactical Easing and Strategic Confrontation: The Busan Moment in China-US Relations

by Bo Ma , Yiyi Xu

On 30 October 2025, Chinese President Xi Jinping and US President Donald Trump held their first in-person meeting since 2019 on the sidelines of the Asia-Pacific Economic Cooperation summit in Busan. The encounter marked a cautious “tentative reengagement” after six years of sustained friction, signalling neither a diplomatic thaw nor a substantive breakthrough, but a forced recalibration. Both sides recognised that prolonged confrontation was increasingly costly, yet neither was willing to display strategic vulnerability or compromise on core interests. The central challenge of this “six-year reunion” was how to balance unavoidable competition with limited cooperation. The Busan meeting did not resolve long-standing disputes, but it did illuminate the evolving structure of bilateral engagement: limited economic de-escalation coexisting with sustained tensions in security and technology. Trust remained thin, and risk management defined the tone. Within this framework of cautious interaction and enduring rivalry, both sides resumed dialogue while leaving key structural contradictions unresolved. Tactical Easing: A “Mutual Ceasefire” over Rare Earths and Tariffs Building on preliminary understandings reached during earlier Kuala Lumpur discussions, the Busan meeting yielded limited but concrete outcomes. Washington agreed to suspend part of its planned tariff increases and delay the expansion of export restrictions. Beijing, in turn, postponed implementation of newly announced controls on rare earth elements and related technologies. These reciprocal measures were explicitly time-limited, with a one-year horizon.While framed as mutual concessions, the steps reflected pragmatic political calculations within each country’s domestic context. President Trump sought short-term economic calm to support financial markets and reassure key Midwestern constituencies ahead of the election cycle. Beijing, for its part, aimed to preserve a stable external environment through managed openness, gaining room for continued economic restructuring and technological adaptation. Yet the truce was fragile. China’s decision to delay export controls was not a concession but a strategic withholding of leverage. As the supplier of roughly 60 percent of the world’s mined rare earths – critical to semiconductors, electric vehicles, wind turbines, and US defence platforms such as the F-35—Beijing retains significant influence over global supply chains. The Busan easing was therefore less a structural breakthrough than a tactical pause: a deferral of escalation rather than a resolution of underlying tensions. Diplomatic Silence over Taiwan: Strategic Caution and Latent Risks The Busan meeting made no reference to the Taiwan issue—an omission that is rare in the history of China–US summitry. Following the talks, President Trump remarked that President Xi “understands the consequences” of attempting to seize Taiwan but declined to clarify whether the United States would intervene militarily. Secretary of State Marco Rubio similarly emphasised that Washington would not trade Taiwan’s interests for economic concessions. Taiwan thus became the “elephant in the room”: too consequential to ignore, yet too politically volatile to confront directly. For Beijing, Taiwan constitutes an inviolable sovereignty red line. For Trump, raising the issue risked derailing trade-focused dialogue and undermining his image of diplomatic control. Both leaders chose strategic silence as a means of avoiding escalation. This silence did not indicate convergence, but rather mutual restraint under high pressure. Taiwan has become a latent variable in every round of China–US engagement: absent from formal discussions, yet structurally embedded in the broader strategic equation. The longer it is avoided, the more its political cost accrues. In the future, renewed tensions—whether triggered by trade disputes or maritime incidents in the South China Seas—could rapidly return Taiwan to the center of bilateral confrontation. Taiwan’s “absence” in Busan does not reduce its relevance; it only signals that the crisis has been temporarily displaced from public diplomacy rather than defused. Institutionalised Decoupling: From Policy Choice to Structural Reality The diplomatic silence over Taiwan reflected tactical caution, while at a deeper level, the Busan meeting underscored the entrenched technological and institutional divergence between China and the United States. Trump signalled that US firms such as NVIDIA might engage in selective transactions involving mid-range AI chips, but reaffirmed that the most advanced semiconductor products would remain tightly restricted. This reaffirmed Washington’s “technology defense logic,” in which high-tech rivalry is governed by national security imperatives rather than market access concerns. In Beijing’s view, technological self-sufficiency is equally central to national resilience and regime security. Both sides now frame their strategic contest as a “struggle over national trajectory,” where concession is viewed as structural vulnerability. As a result, each is doubling down on domestic institutional insulation rather than pursuing negotiated guardrails. This bifurcation has produced a dual trajectory: modest stabilisation in trade flows paired with accelerating fragmentation in high-end technologies. Both governments are using this brief “technological cooldown” to advance structural measures. Washington is deepening coordination with allies and expanding export control and investment screening regimes. Beijing, for its part, is formulating new legal instruments—including draft frameworks akin to a Science and Technology Security Law and prospective regulations on critical technologies—to consolidate oversight over strategic sectors. While these initiatives are not yet fully codified, they reflect a clear intent to embed technology governance within national security architecture. In this context, technology has lost its value as a bargaining lever in diplomacy. Both sides tacitly acknowledge that strategic technologies can no longer be traded without compromising sovereignty. Technological decoupling has thus evolved from a temporary response into a systemic condition. The Busan “easing” did not reflect progress toward convergence, but rather a managed pause in an increasingly institutionalised contest. From High-Intensity Confrontation to Managed Competition The Busan meeting marked a shift in China–US relations from high-intensity confrontation to limited management. The two sides temporarily stabilised trade and exercised restraint on political and security fronts, while competition in technological and institutional domains remained entrenched. This was not reconciliation, nor a turning point, but the formation of a provisional equilibrium. For China, Busan offered a space for economic adjustment and accelerated efforts toward technological autonomy. For the United States, it maintained strategic pressure while averting short-term escalation. Beneath the optics of diplomacy, structural divergence and strategic mistrust persist. Across the Indo-Pacific, this “uneasy coexistence” is increasingly becoming the regional default. The significance of Busan lies not in concrete outcomes, but in the shared recognition that strategic confrontation must be managed, even if it cannot yet be resolved. This article was published under a Creative Commons license and may be republished with attribution, check original source for more information.

Diplomacy
WASHINGTON, DC - JANUARY 20: President Donald Trump signs executive orders in the Oval Office of the White House on January 20, 2025 in Washington, DC. Trump takes office for his second term as the 47

Donald Trump: Reconfiguring Global Order

by Jeffrey Sommers , Zoltán Vörös , István Tarrósy

Chaos seems to mark US policy under President Donald Trump at first blush. But behind what appears (and sometimes is) capricious Trump Administration decision making are policymakers with serious plans. They intend to engage perceived threats to the United States power, while transforming its economy in ways making it less dependent on global supply chains and “reserve assets.” Recognizing festering wounds to the US economy while seeing areas of strength, Trump policymakers look to cauterize the former while pivoting more fully to the latter. Trump’s presidency has openly engaged in criticizing past US liberal interventionist and neoconservative foreign policy. Branded as “America First” Trump’s US does not seek isolationist  withdrawal from the globe, but rather a dismantling of institutional structures and alliances that no longer benefit Washington. The United States can and should continue projecting power far but, not wide, according to America Firsters. Under America First, the national interest does not always align with the “international community,” a term America Firsters would regardless see, borrowing a line from Benedict Anderson, as a fictitious “imagined community.” America First means dismantling the liberal hegemonic world order, or at minimum the US offloading the bill for it. The cost of that liberal order, with some 750 US military bases abroad, combined with growing power of the BRICS (China chiefly, but not only), signals to America Firsters America’s need to retreat from some parts of the world, while continuing to exercise dominance in others. Related to national security is the fallout from a generation of globalization in labor markets. US offshoring of manufacturing in the post-Bretton Woods period lowered production costs. Cheap goods produced abroad were then purchased by Americans even more cheaply courtesy of the overvalued dollar as the world’s reserve currency. This worked great for US consumers, albeit with the intention of also pushing down US labor costs. Globalization enabled the United States to vacuum up global manufactures, while also running up massive government fiscal deficits. As former Vice-President Dick Cheney described it during globalization’s heyday, “Reagan proved deficits don’t matter.” What was once, however, a massive advantage for the United States later became its “twin deficits” problem.   In short, the best fit for the US is a realist spheres of influence model, according to the Trump Administration. The criticism of the liberal world order, of course, circles back to the aforementioned economic challenges: on the one hand, the negative economic processes related to global labor organization and America’s indebtedness, and on the other hand, the strengthening of emerging international actors. Amongst these entities, the People’s Republic of China has long been high on the agenda. During the first Trump administration the president escalated tariffs on goods imported from Asia’s giant, which then led to a trade war. According to a Pew Research Center survey from mid-April 2025, although Americans believe that this bilateral trade relationship benefits China more than the US, they are “skeptical that increased tariffs on Chinese imports will have a positive effect on the country or on their own lives.” The Trump Administration thinks otherwise. America’s economy entering Trump’s presidency looked strong. On the cusp of the great 2008 financial shock, the European Union’s dollar GDP was $16.4 trillion, the US’ was $14.8 trillion. But by 2024, EU GDP was $18.7 trillion, while the United States posted a GDP of $28 trillion. Thus, in the span of less than a generation, the US went from having a GDP 9.8% short of the EU’s in 2008 to leaping ahead with a GDP 32% larger by 2024. These impressive US GDP gains were built on the foundations of financial services, corporate high-value added HQ (headquarters) functions, intellectual property, higher education, and information technology. Yet, there were problems: Maintaining world order, or empire, was, as we asserted above, expensive. In 2024 the US military budget was $824 billion. This figure does not even count huge “off (or black) budget” items related to security, etc., for which costs are not precisely known. Besides these numbers, we should not forget about the military’s global presence: The US paid for global security costs, protecting important maritime trade routes, chokepoints – not just supporting the American interest, but for instance chiefly helping China trade with the world. These costs were covered, in part, through US borrowing, much of it from abroad. In 2024, the US government deficit stood at $1.8 trillion, or 6.4% of GDP. While the total US debt reached $38 trillion. The last time the US federal budget was in surplus was in the last term of President Bill Clinton, when there were both reduced military expenditures (post-Cold War “peace dividend”) and top marginal income tax rates of 39.6%. And before Clinton’s second term, US budgets were only in surplus in 1969 and before that only for several years in the 1950s. Decelerating US decline also requires addressing these areas. First is the area of domestic costs. US public pension costs (Social Security and Medicare) face a fiscal crisis. The dedicated taxes (Federal Insurance Contributions Act, or “FICA”) will soon be insufficient to pay for pension costs. FICA taxes in the late 20th century, under President Ronald Reagan, were raised above pension costs. The surplus (a de facto tax on labor) was to finance costs of a future changed 21st century demographic mix creating lower ratios of workers to pensioners. This funding forward model could only work if surplus revenues were invested in productivity enhancing infrastructure creating larger future economic growth and productivity. Instead, the FICA tax surpluses levied on labor were largely used to reduce budget deficits resulting from tax cuts to the wealthy and corporate sectors. In short, to be blunt, the money was taken from labor, with continued borrowing now to pay pension costs running up against the limits of the US to borrow. Second, reserve assets. Lack of ground rents, given the US had no centuries long accumulation of land ownership from feudalism, meant low land prices and reduced inequality generally in the United States. Additionally, the United States applied tariffs to protect domestic markets and promote industrialization generally starting with their first Secretary of Treasury, Alexander Hamilton’s Report on Manufactures in 1791 that gave the US high tariffs, only later rivaled by Russia under the economic leadership of Sergei Witte and Pytor Stolypin in Russia’s late Czarist Russia period. Third, after the 2008 US financial shock it became clear that China was not limited to being merely a supplier of lower-tier consumer goods to the world, but risked becoming a power that could challenge the United States (an idea encapsulated in the Thucydides trap). Rather than markets paving the path toward liberal democracy, as many US policymakers previously assumed, the ascendancy of Xi Jinping signaled China’s fealty to an autonomous route to development. However, China still depends on the global system, the institutions, and structures that have ensured and continue to ensure its participation in global trade, for example. China does not yet possess the global capabilities that would allow it to defend its interests beyond its borders. Therefore, taking action against Beijing as a rival could cause difficulties in time for a country that is dependent on numerous structures maintained by Washington. The Trump administration’s goals and responses to the US crises are to: • Offload costs of US “empire” to other states currently benefiting from it• Recovery through fall in commodity prices (energy, food, metals, etc.)• Move from globalization to regional spheres of influence• Postpone “Armageddon” of global exit from US dollar• Widen leads in AI, thus requiring cheap energy• Reduce US government debt levels• Widen US lead in space• Reshore US industry To achieve these goals, a tariff policy was established that fundamentally shapes American economic and foreign policy, to which Washington has put forward the following proposals: First, other countries can accept tariffs on their exports to the United States without retaliation, providing revenue to the U.S. Treasury to finance public goods provision. Critically, retaliation will exacerbate rather than improve the distribution of burdens and make it even more difficult for us to finance global public goods; Second, others can stop unfair and harmful trading practices by opening their markets and buying more from America; Third, they can boost defense spending and procurement from the U.S., buying more U.S.-made goods, and taking strain off our service-members and creating jobs here; Fourth, they can invest in and install factories in America. They won’t face tariffs if they make their stuff in this country; Fifth, they could simply write checks to the Treasury that help us finance global public goods. Or more passively, accept conversion of their Treasury Bills into century-long non-interest bearing bonds. American foreign policy actions can generate results that are drastically different from expectations, and in certain cases can accelerate and amplify problems Washington faces. Although it is evident classic free trade agreements have not formed the basis of American foreign and economic policy for some time, the tariffs introduced and then implemented (and periodically suspended) by the Trump administration, imposed challenges to the United States on several fronts: First, tariffs have severely affected or even targeted states that have traditionally been in partnership with the United States (e.g. EU, Japan, South Korea), which Washington could rely on for support, for example during its international interventions. Such steps can, on the one hand, harm and jeopardize American global and economic interests, and on the other hand, push actors towards a multipolarity that Washington fears. Similarly questionable are trade actions against states that could be pillars of a coalition against China (e.g. Vietnam and the Philippines). American weaponization of trade and unilateral military expectations make Washington an unattractive, if not unreliable, partner, thus encouraging multilateralism. Second, Washington’s demands that states sever trade relations with China, or even with Russia, as Trump asked India to do, is accelerating states decoupling from the United States not on ideological grounds but primarily based on realistic economic policy considerations. Third, these steps could also threaten the dominance of the US dollar, and even accelerate decline in confidence of the dollar – further complicating the financing of the deficit. The Trump Administration (Treasury Department) are aware of the dangers (the “Triffin” reserve currency dilemma) but think the crisis is so acute that they must do something even if they risk accelerating the dollar’s collapse. However, it is also true that a drastic decline in confidence in the US currency would require an alternative reliable currency, and currently, the currency of no potential player can be considered perfectly reliable or transparent. Finally, on a global scale, the America First slogan is not necessarily guaranteed to win partners for Washington. It is evident that in the short term, several actors will not be able to free themselves from the security architecture guaranteed by the Americans (see: NATO), but most actors will strive to advance by developing and building their own capacities. In conclusion, Washington under Trump looks to downsize and rightsize. American economic and military power, while strong, has declined from its post-Cold War unipolar moment. Reduced power has diluted American confidence, thus resulting in the US taking at times a more aggressive posture in an increasingly multipolar world. Meanwhile, the rest of the world grows wary at how the Trump Administration reacts to these changed global ‘‘adjustments” that are creating confusion over where spheres of influence begin and end. The days of America acting to, in the phrasing of Joseph Nye Jr., “winning the hearts and minds” of the world, seems off the table. The United States now retreats from soft power with dramatic cuts to foreign aid and international exchanges, such as its Fulbright program. Rather than winning the world over, under Trump, demands for deference to US authority and power now mark its preferred relations with the world, while it disengages from other parts of the globe.

Diplomacy
Aerial view Panama Canal, third set of locks, water shortages, maritime traffic, water reuse vats, summer drought.

What CK Hutchison told us in the Panama Case?

by Wallace Loo

The attempted sale of CK Hutchison’s Panama Canal operations to the US-based company BlackRock and Terminal Investment Limited was more than a commercial transaction. When Beijing publicly opposed the deal, branding it a betrayal of national interests, it transformed into a case study in how global business is being reshaped by strategic rivalry. The controversy illustrates a deeper question: Can Hong Kong’s leading conglomerates still operate on commercial logic alone, or are they inevitably drawn into the geopolitical contest between the United States and China? For Hutchison, the Panama case shows that the room for neutrality is shrinking. Why does it matter? Beijing’s intervention signals to Hong Kong businesses and foreign investors alike that commercial neutrality is no longer assured. Loyalty, alignment, and political sacrifice are emerging as expectations alongside profit and efficiency. For global decision-makers, this raises two critical issues: Why did Hutchison seek to exit its Panama Canal holdings in the first place? Why did Beijing judge it necessary to intervene in a transaction that, on the surface, was driven by corporate strategy? Why Hutchison sold its Panama Canal operations? 1. Strategic Realignment Toward Core Businesses CK Hutchison has steadily repositioned itself around two “twin engines”, i.e. real estate in Asia and infrastructure in Europe. While ports in Latin America once fit into its global footprint, they were never central to this model. By selling its Panama Canal operations, Hutchison freed resources to consolidate strengths where it sees long-term stability and growth. This is part of a deliberate shift visible over the past decade: acquiring the German infrastructure firm ISTA in 2017 and securing UK regulatory approval in 2024 for the £11 billion merger of Vodafone UK and Hutchison’s subsidiary Three. These moves point to a concentration of capital in Europe’s regulated infrastructure and Asia’s high-demand property markets, underscoring a deliberate pivot toward strengthening European operations and ensuring cash flow visibility. This implies that Hutchison is reducing its exposure and a systematic exit to regions marked by political uncertainty and doubling down on reinvesting into higher-yielding and strategically aligned assets, particularly in European infrastructure platform while deepening its Asian real estate footprint. For governments and investors, this suggests that Hong Kong conglomerates are not retreating from globalization but are planning to recalibrate toward safer, higher-visibility assets. 2. Capitalizing on Market Timing and Asset Valuation The divestment also reflected classic Hutchison discipline: Buying early and exiting when valuations reach the peak. With global demand for strategic infrastructure rising, the Panama Canal assets commanded a premium. The resulting HK$19 billion in proceeds and a sharp rise in share price underlined investor confidence. Such timing underscores Hutchison’s longstanding strategy of opportunistic repositioning. This divestment was both value-accretive and strategically well-timed. By crystallizing gains now, the group strengthens its balance sheet and cash-reserve, maintaining its flexibility to reinvest or return capital to shareholders. For policymakers, this implies that global infrastructure assets are increasingly financialized. Strategic nodes like the Panama Canal are no longer just trade arteries but high-value commodities in global capital markets. Governments must therefore view divestments not only as corporate decisions but as moves that can shift control of strategic assets between geopolitical actors. 3. Geopolitical Considerations and Risk Mitigation The Panama Canal is a corridor of strategic significance and what US-President Donald Trump calls Chinese ownership on the potential dual-use nature of port terminals there inevitably drew scrutiny in Washington. U.S. allies have already tightened the screening of Chinese-linked infrastructure deals and the EU’s 2019 FDI framework explicitly flagged ports as areas requiring “special oversight”. Against this backdrop, Hutchison sought to avoid being cast as a “Chinese state-backed actor”, an extension of Beijing’s Belt and Road Initiative. Hutchison has taken deliberate steps to present itself as a neutral and commercially driven multinational investor, rather than an extension of Chinese state policy. The company restructured in 2015 to a Cayman Islands base carefully positioning itself apart from state-linked Chinese enterprises, which creates an international legal identity rather than retaining a mainland Chinese or Hong Kong corporate domicile. By exiting Panama, Hutchison not only monetized assets but also reduced exposure to the intensifying Sino-U.S. rivalry in one of the world’s most contested trade chokepoints. For European and U.S. decision-makers, this implies that Hutchison’s move signals how Hong Kong firms navigate geopolitical pressure. It shows that even Chinese-origin conglomerates may prefer retreat to avoid being entangled in state rivalries. Hutchison pre-emptively mitigated the risk of being labelled a “Chinese state proxy” in a critical geopolitical theatre. This move not only alleviated Western concerns about Hutchison’s control of Panama’s ports but also demonstrated the group’s ability to act with commercial neutrality and flexibility, preserving its ability to operate, finance, and expand in Western markets without being constrained by the “Chinese capital” label. For Beijing, however, this retreat risks weakening China’s global port footprint. This highlights a potential divergence between the commercial logic of Hong Kong firms and China’s strategic ambitions. Why did Beijing intervened? 1. Loss of Chinese Strategic Assets and Diplomatic Advantage The Panama Canal is among the world’s most critical maritime chokepoints and control of its ports carries weight far beyond commerce. For China, investment in Latin American terminals has been part of a wider strategy to shape global shipping routes and enhance strategic reach. From Beijing’s perspective, CK Hutchison’s divestment was more than a business transaction. This was a strategic setback. The transfer of control to U.S.-linked interests was seen as a symbolic “recapture” of the terminals, which weakens China’s presence at a vital corridor. Within the Chinese leadership, the ports had been regarded as potential bargaining leverage in trade negotiations with Washington. But this loss reduced Beijing’s diplomatic toolkit at a time of rising frictions. The episode illustrates how Chinese policymakers increasingly view overseas ports as instruments of geopolitical positioning, not just commercial assets. Hutchison’s decision to sell underscored a broader reality: not all Chinese-affiliated enterprises act in alignment with state objectives. For Beijing, this implies that the Panama case highlighted the limits of relying on Hong Kong conglomerates to advance strategic interests abroad. For foreign governments and firms, it signalled both China’s heightened sensitivity to divestments in contested regions and the growing tension between corporate autonomy and state geopolitical expectations. 2. Absence of Beijing’s Prior Approval Sparked Political Backlash In the Panama Canal divestment, Beijing’s leadership reacted strongly against CK Hutchison’s “transaction first, then approval” approach. Beijing expressed dissatisfaction and even instructed state-owned enterprises to suspend new collaborations with the Li family, who serve as the controlling shareholders and principal decision-makers of Hutchison. Hutchison defended this sale as a “purely commercial and competitive process” by emphasizing Mediterranean Shipping Company as the principal buyer. Yet, in the context of intensifying Sino-U.S. rivalry, this stance was no longer acceptable. Regulatory pressure and political intervention from Beijing slowed negotiations, preventing the transaction from proceeding as planned. The broader precedent is clear: in strategically sensitive areas, Beijing now expects Hong Kong firms to align commercial decisions with state priorities. Neutrality is no longer an option. This marks a fundamental shift in the operating environment, binding the leading Hong Kong conglomerates more closely to state interests and constraining their room for independent strategic choices. For policymakers and investors, this implies that the Panama case shows how Beijing is extending political oversight into commercial domains once seen as autonomous. Hong Kong enterprises face increasing limits on their ability to separate business logic from state loyalty, particularly where Sino-U.S. rivalry is at stake. 3. Public Opinion as Strategic Pressure: Shaping a New Regional Order Beijing’s response to Hutchison’s Panama sale was not confined to official channels. Pro-Beijing media denounced the deal as disloyal and profit-driven, framing it as a matter of national honour. When the Hong Kong and Macao Affairs Office of the State Council, which is the Beijing central body responsible for overseeing Hong Kong and Macao affairs, amplified these narratives, they gained quasi-official status and exerted pressure on both Hutchison and other Hong Kong firms. This discourse resonated beyond China. The Panama Canal Authority warned that excessive concentration of terminal assets could undermine neutrality and competitiveness. This wording strikingly complies with Beijing’s “anti-hegemony” rhetoric. By shaping the terms of debate, Beijing positioned itself to argue for greater balance and competition in Panama’s port operations. Looking ahead, China advocates to leverage new concession tenders to advance its tactical objectives: strengthening the role of China Ocean Shipping Company, counterbalancing U.S. and European dominance and embedding Chinese capital in Latin America’s maritime infrastructure. More broadly, the case illustrates how Beijing integrates public opinion, regulatory narratives, and commercial strategy to shape a regional order more favourable to its interests. For policymakers, this implies that Panama demonstrates how Beijing transforms domestic media pressure into a tool of international influence. What begins as reputational discipline at home can translate into bargaining leverage abroad, particularly in contested regions where infrastructure and influence are intertwined. Points of Special Relevance: Beijing’s Strategic Signal Beijing’s intervention in the Panama Canal case should be read not as a single act but as a strategic signal. Its aims to prevent U.S. and European firms from consolidating control at a vital chokepoint and to avoid the appearance of “losing” strategic assets. At the same time, Beijing used this episode to remind Hong Kong conglomerates that in sensitive geopolitical contexts, commercial logic alone is no longer sufficient. The Panama case demonstrates how Beijing leverages commercial disputes as instruments of statecraft. The more plausible outcome is a conditional arrangement to encourage Panama to introduce mechanisms that limit Western influence in Latin America. China seeks structural adjustments that preserve its influence and reshape the regional order to its advantage. From Neutrality to National Loyalty As U.S. China tensions intensify, many multinational firms pursue de-risking strategies: not full decoupling as it is economically unviable, but carefully calibrated ambiguity that allows them to operate in both markets without explicit political commitments. This balancing act is becoming harder in Hong Kong. Since 1997, the influx of mainland state-linked enterprises has blurred the line between state and market. Benefiting from the “One Country, Two Systems” framework, these firms embedded political expectations into business norms. Ties to the National People’s Congress or the Chinese People's Political Consultative Conference are increasingly relevant in Hong Kong. By 2019, Beijing moved further, promoting patriotism in the business sector such as the Greater Bay Area Business Support Scheme, which channels funding toward firms demonstrating “patriotic entrepreneurship” or contributions to “national rejuvenation”. The result is a growing convergence of economic and political expectations. Commercial autonomy is increasingly contingent on political alignment, eroding the distinction between business logic and ideological loyalty. For investors and firms, this raises strategic concerns: - Will political loyalty requirements constrain the free flow of capital? - Could companies risk state intervention or even nationalization if perceived as acting against China’s interests? These questions remain unresolved, but Hutchison’s Panama case shows how quickly a commercial decision can be redefined as a matter of national loyalty. The broader uncertainty surrounding Hong Kong’s business environment will shape the city’s role as a financial hub in the decade ahead. This is my view on things: An Outlook on Hong Kong Looking ahead, the space for Hong Kong conglomerates to maintain commercial neutrality is narrowing. The rise of a nationalist business paradigm means companies must increasingly balance political conformity with economic self-interest. Two scenarios are emerging: 1. “Hong Kong, then China”: firms retain some operational autonomy and global credibility by prioritizing commercial logic, while carefully managing political sensitivities. 2. “China, then Hong Kong”: political loyalty takes precedence, with business priorities subordinated to national strategic goals of the Chinese Communist Party. Which path prevails will determine Hong Kong’s role as a financial hub. The tension between economic liberalism and political loyalty is no longer abstract. It is becoming the defining fault line for Hong Kong’s business landscape in the decade ahead.

Diplomacy
President of Russia Vladimir Putin meeting with North Korean leader Kim Jong-un (2025)

Why Xi, Putin and Kim on One Stage Matters

by Roie Yellinek

Beijing’s Victory Day parade in Tiananmen Square was designed to dazzle: ranks of uniformed troops, formations of aircraft, and an arsenal of new systems meant to underscore China’s rapid military modernization. But the most consequential image was not a missile or a stealth jet. It was a tableau of three leaders—Xi Jinping at the center, flanked by Vladimir Putin and Kim Jong Un—watching the spectacle together. The scene, widely broadcast and photographed, turned a commemorative event into a geopolitical marker. It was less a snapshot than a signal: the public normalization of a deepening alignment among China, Russia, and North Korea, at a moment when Western democracies are struggling to sustain cohesion on core strategic questions. The parade itself offered the familiar mixture of hardware and narrative. Coverage highlighted the unveiling or public confirmation of advanced systems across domains: upgraded intercontinental missiles, new submarine-launched ballistic missiles, hypersonic and anti-ship capabilities, long-range bombers, early warning aircraft, and a broad stable of unmanned platforms, including undersea vehicles and “loyal wingman” drones. Chinese media presented these developments as evidence of a “world-class” People’s Liberation Army (PLA) moving beyond legacy constraints and into truly multi-domain operations, with information, space, and cyber now integrated alongside land, sea, and air. Independent reporting catalogued the breadth of systems and emphasized a narrative of credible deterrence and strategic depth rather than mere choreography. Yet the more instructive message was political. The presence of Putin and Kim, alongside other leaders, was not a mere ceremonial occurrence. Each leader arrived with clear incentives to be seen at Xi’s side, and each gained by lending visual weight to Beijing’s story. For Moscow, the image reinforced the claim that Russia is not isolated, that it retains powerful partners and is embedded in a wider non-Western coalition. For Pyongyang, the moment was even more significant: an opportunity to step out of diplomatic isolation and be recognized publicly as a member of a consequential strategic grouping. For Beijing, hosting both leaders signaled that China can convene and coordinate—projecting status, reassuring sympathetic governments, and unsettling adversaries by hinting at a tighter web of cooperation among U.S. rivals. The convergence behind the optics has been building for years, and could have happened only on Chinese soil. China and Russia have expanded their coordination across energy, defense, and diplomatic, even as they preserve maneuvering room on sensitive issues. North Korea’s accelerating exchanges with Russia, alongside growing political warmth with Beijing, provide a third leg to this emerging tripod. None of this amounts to a formal alliance with mutual defense obligations. But it does resemble a strategic alignment held together by shared interests: resisting a U.S.-led order, blunting sanctions pressure, reducing vulnerability to Western technology restrictions, and demonstrating that alternatives exist to dollar-centric finance and Western supply chains. The choreography on the rostrum did not create this alignment; it made it more legible and clear. Memory politics is a key component of that legibility. Beijing’s decision to anchor the parade in the commemoration of victory over Japan allows contemporary power projection to be cloaked in a unifying moral narrative. China increasingly leverages World War II memory in diplomacy—shaping a “memory war” that reframes the post-1945 order and what is seen from China as its rightful place within it. Russia’s long-standing use of the “Great Patriotic War” plays a parallel role, justifying current policies through selective historical continuity. North Korea’s revolutionary mythology fits easily into this narrative architecture. By standing together at an anniversary of anti-fascist victory, the three leaders signaled an ideational convergence that complements their material cooperation: a claim to moral legitimacy as guardians of an alternative international vision. The military dimension of the parade, while not the core of this argument, still matters. Displays of a maturing triad—land-based ICBMs, submarine-launched systems, and an air-launched nuclear component—aim to convey survivable second-strike capacity. The public presentation of hypersonic and anti-ship systems is meant to complicate adversary planning in the Western Pacific. The range of unmanned platforms suggests an intent to saturate domains with relatively low-cost, attritable assets, improving persistence and compressing the sensor-to-shooter loop. It is prudent to treat parades cautiously: not all showcased systems are fully operational or fielded at scale, and performance claims are difficult to validate. But as an indicator, the breadth and integration of platforms reflect a planning culture committed to joint operations and “intelligentized” warfare, where AI-enabled targeting and decision support are not theoretical ambitions but programmatic priorities What, then, does the image of Xi–Putin–Kim actually change? First, it clarifies expectations. Observers no longer need to infer the trajectory of this triangular relationship from scattered bilateral overtures. The three leaders have chosen to make their alignment visible. Visibility creates deterrent value, raising the perceived costs of coercing any one member, and it can also facilitate practical cooperation: intelligence sharing, diplomatic coordination at the UN and other fora, synchronized signaling during regional crises, and mutually reinforcing sanctions-evasion practices. Second, it complicates Western planning. Even if Beijing keeps caution around direct military assistance in Europe or the Korean Peninsula, diplomatic top-cover, economic buffering, and technology flows short of lethal aid can still alter the correlation of forces over time. Finally, it resonates across the Global South. Many governments seek strategic autonomy and resist being forced into binary choices. The parade’s optics supplied a ready-made narrative for those who argue that the international system is already multipolar and that non-Western coalitions can deliver security and development without Western tutelage. The contrast with Western coordination was strikingly evident. In the transatlantic community, support for Ukraine remains substantial; however, debates about resource levels, war aims, and timelines have intensified. In the Indo-Pacific, there is a growing alignment on deterring coercion in the Taiwan Strait and the South China Sea; however, national economic interests and differing risk tolerances result in uneven policies toward China. Across Europe and North America, electoral politics continue to inject volatility into foreign policy, complicating efforts to sustain long-term, bipartisan strategies. None of these frictions amounts to collapse, and there are genuine Western successes in coalition-building—from NATO enlargement to evolving minilateral formats in the Indo-Pacific. However, an analytically honest reading of the moment acknowledges that the authoritarian trio in Beijing has projected a unity of purpose that Western capitals currently struggle to match consistently. Three implications follow. The first is narrative competition. If Beijing, Moscow, and Pyongyang can turn a commemorative event into a global story about legitimacy and resilience, they will continue to use history as a strategic resource. The appropriate Western response is not to cede the narrative field but to invest in historically grounded, forward-looking messaging that explains the link between rules-based order and practical benefits—trade reliability, crisis management, and sovereignty protection—for diverse audiences. The second is coalition maintenance. Western policymakers will need to prioritize “coalition hygiene”: aligning export controls and investment screening where it matters most; building redundancy into critical supply chains; closing divergences in sanctions enforcement; and coordinating messaging so that tactical differences do not obscure strategic alignment. This requires political discipline more than new institutions. The third is theater integration. As the Beijing image suggested a cross-regional understanding among three adversarial capitals, allied planning must better account for cross-theater linkages—how actions in Europe affect deterrence in Asia, and vice versa—and ensure that resource allocations and industrial policies reflect genuinely global prioritization. It is important not to overstate. The emerging alignment among China, Russia, and North Korea is asymmetric and interest-based, not a tightly binding alliance. Beijing’s global economic integration imposes constraints that Moscow and Pyongyang do not share. Russia and North Korea each bring liabilities that China will manage carefully. Frictions—over technology, pricing, and regional equities—will persist. But the threshold crossed in Beijing is nonetheless meaningful. These governments judged that the benefits of public proximity now outweigh the costs. That judgment, once made, is difficult to reverse quickly; it tends to generate its own momentum through bureaucratic follow-through and sunk reputational costs. One image cannot rewrite the balance of power. It can, however, crystallize a trend and concentrate minds. The sight of Xi, Putin, and Kim standing together did exactly that. It captured an authoritarian convergence rooted in shared grievances and converging strategies, and it highlighted the challenge facing democracies that wish to preserve an open and stable order: maintaining the patience, unity, and policy discipline to act together. The test for the West is less whether it recognizes the signal—most capitals do—than whether it can convert recognition into sustained, collective action. If Beijing’s parade was a demonstration of choreography and intent, the appropriate answer is not a counter-parade, but the quieter work of alignment: aligning narratives with interests, interests with instruments, and instruments with partners. That work is not glamorous. It is, however, what turns a photo into policy.

Diplomacy
Flag of USA and China on a processor, CPU or GPU microchip on a motherboard. US companies have become the latest collateral damage in US - China tech war. US limits, restricts AI chips sales to China.

AI’s Great Power Paradox: Cooperation and Competition in the US-China Tech Rivalry

by Emmie Hine

As AI accelerates, the US and China shape the global governance landscape through parallel ambitions and contrasting ideologies. Understanding their policy trajectories reveals key inflection points for potential engagement. The United States and China are the world’s leading powers in artificial intelligence (AI)—and each has global ambitions. As AI development accelerates, so too do calls to regulate it responsibly. Both countries have the capacity to shape the future of AI governance. But understanding where cooperation might be possible requires understanding how each country’s approach has evolved. While their methods and ideologies differ, and their leadership aspirations often appear at odds, two underexamined forces—infrastructure and philosophy—may create unexpected space for mutual engagement. In the US, AI governance has long been shaped by the mythology of the free market. Under President Barack Obama, that mythology was tempered by calls for pipeline diversity. President Donald Trump discarded these in favour of rhetoric about “American values,” an ill-defined phrase deployed more as a competitive cudgel against China than a coherent policy vision. President Joe Biden attempted to resurrect some of Obama’s normative commitments—launching the Blueprint for an AI Bill of Rights, Executive Order 14110 on “safe, secure, and trustworthy AI,” and initiatives like the National AI Research Resource—but the foundations of his administration’s policies remained countering China’s influence through increased export controls and other measures. Trump’s second administration has once again changed focus away from equity and community-centredness, but the continued focus on competing with China and ensuring US “victory” in the “AI race” shows there’s more continuity than often assumed between different administrations’ AI approaches. China, for its part, has been more consistent in its governance strategy, even as it experiments at the margins. Its 2017 New Generation AI Development Plan cast AI as a pillar of national strength, and subsequent regulations on algorithms, deepfakes, generative AI, and facial recognition underscore a clear priority: balancing the “twin miracles” of economic development and social stability. Though early days of “fragmented authoritarianism” have given way to a more centralised approach with specific vertical laws, this logic remains embedded throughout the governance system. China is generally less explicit in its rhetoric than the US, with fewer exhortations about race dynamics and countering the US. In fact, it frequently invokes ideas of ethical pluralism and the language of international cooperation. This framing likely reflects a blend of genuine ideological positioning and diplomatic strategy, but it presents a challenge to US policymakers who continue to frame AI governance in moralising binaries. This is evident in two parallel AI Action Plans released in July 2025. The US released a guiding document—indicatively titled “Winning the Race: America’s AI Action Plan”—with an epigraph from President Trump stating: “As our global competitors race to exploit these technologies, it is a national security imperative for the United States to achieve and maintain unquestioned and unchallenged global technological dominance.” Though the Action Plan itself contains only three substantive references to China, it is built on the premise that global AI is an inherently competitive “race,” and China is clearly the US’s main competitor. A few days after the US AI Action Plan was released, China released its “Global AI Governance Action Plan.” It builds on the 2023 Global AI Governance Initiative, which seeks to portray China as a leader in the global pursuit of AI for the good of humanity and a “champion of the Global South.” The Global AI Governance Action Plan contains fewer specifics than the US AI Action Plan, but calls for “strengthening international cooperation on AI capacity building,” including supporting developing countries to design, implement, and govern AI. It also calls for building a global AI governance system through the UN and again shows the key balance of economic development and social stability: while it acknowledges the need to “jointly push for innovation breakthroughs,” it also advocates for strengthening “policy and regulatory coordination” and building an international AI safety governance framework. The US, on the other hand, is determined to cut “bureaucratic red tape and onerous regulation” while working primarily with its allies. However, recent events have called into question the feasibility of this approach. Notably, despite calls to increase export controls—and mobilise allies to do the same—the US announced shortly before the release of the AI Action Plan that it would again permit Nvidia to export H20 chips to China after previously restricting them. This was part of a trade deal in which China agreed to lighten restrictions on rare earth exports. Though seemingly counterintuitive, this deal reflects a fundamental reality of the modern AI ecosystem: the resources and supply chains enabling it are inextricably intertwined. China mines roughly 70 percent and processes 90 percent of rare earth minerals. US-based Nvidia has 92 percent of the GPU market. Both of these are critical for progress in AI. Both countries are attempting infrastructure decoupling, but the US may have to compromise on its fundamentalism to maintain access to the critical resources it needs. Meanwhile, its advanced chip dominance in turn provides leverage over China. Will this lead to broader cooperation? Geopolitical issues are likely too entrenched for each country to join hands and promote harmonious global AI governance. However, each country’s primary goal is the same: to benefit the “people.” China is claiming that its definition of “the people” is the global community—though this comes with the noted exclusion of domestic critics, including the Uighurs of Xinjiang, who are subject to AI-enabled surveillance and detention. The US’s definition of “the people” has changed from administration to administration, but currently seems to include the American people and potentially allied nations. It’s doubtful that the current administration will agree to substantive global AI governance discussions. But through its Action Plan, China has thrown down the gauntlet—engage with global AI governance or be an obstructionist. What the US will choose remains to be seen. Emmie Hine is a Research Associate at the Yale Digital Ethics Center and a PhD candidate in Law, Science, and Technology at the University of Bologna and KU Leuven. She researches the ethics and governance of emerging technologies, including AI. You can also find her byline in her weekly tech-focused newsletter, the Ethical Reckoner. Emmie holds degrees from Williams College and the University of Oxford, and previously worked as a software engineer. She’s on Bluesky here and X here. This article is published under a Creative Commons License and may be republished with attribution.

Diplomacy
US dollar and Chinese yuan on the map of Brazil. Economic competition between the China and USA in Latin America countries

China Advances and the US Retreats in Latin America and the Caribbean

by Hyeran Jo , Nathalie Mendez

The BRICS meeting in Rio on July 6th and 7th gives a snapshot of the great power competition between China and the United States in different regions around the world, including Latin America. China has become the largest trading partner for many countries in Latin America, investing heavily in infrastructure and forging political alliances that further its strategic objectives. For its part, the Trump Administration of the United States issued the statement that those participating countries will face increased tariffs. The statement was the continuation of exercise and assertion of its authority for the past and present century. The positioning of various BRICS members and participating countries is particularly telling of what the great power competition means in the region and also globally. Brazil’s Lula hosted the meeting aiming to showcase its foreign policy leadership, not necessarily antagonizing the West. Russia is still going through the war in Ukraine, and Putin attended only online. India’s Modi was present as well as Ramaphosa from South Africa. No show of Xi Jinping was notable, although Premier Li Qiang was attending. Besides the BRICS core, other countries also showed promotion of their interests. Iran, for one, joined the group in 2024 and sent a ministerial level delegation to rebuke recent strikes on Iran. As the United States appears to be pulling back from its traditional leadership role in the world, China is seizing the opportunity to expand its influence and reshape global dynamics. Through a combination of state-driven development policies and active international engagement, Beijing has positioned itself as a major player in the Global South, extending its reach beyond Asia to regions such as Africa and Latin America. China’s increasing presence in the region has been mainly driven by the Belt and Road Initiative (BRI) and a surge in trade volumes, marking a major shift in the region’s economic landscape. Many experts point to China’s use of “infrastructure diplomacy”—financing ambitious, strategic infrastructure projects across the region—as a key factor in this rise. The numbers tell a compelling story. Trade data from the World Bank (Figure 1) shows that in the past ten years, China has overtaken the United States as the leading trading partner for much of the region, upending a dynamic that had held steady since the early 2000s. Beyond trade, China’s influence deepens through the 22 countries in Latin America and the Caribbean that have joined the Belt and Road Initiative. Chinese loans have poured in, funding major energy, infrastructure, and development projects that have reshaped local economies. China’s push isn’t just economic—it’s political too. Beijing has taken steps to strengthen cultural ties, increase academic exchanges and boost tourism in Latin America, including waiving visa requirements for travelers from some countries. This multi-faceted approach highlights China’s pragmatic mix of economic self-interest and strategic diplomacy as it works to secure resources, expand markets, and bolster its global standing. On the other hand, the United States has long been a strategic ally and key trading partner for Latin America. Agencies like USAID have funneled millions of dollars into economic and military initiatives across the region. With the recent changes in the aid policy, immigration policy, and tariff policy, Washington’s recalibration of its foreign policy are transforming the geopolitical balance in Latin America and the Caribbean. As both powers deploy their strategies — from deepening economic ties to defending national interests — the decisions of Latin American states remain critical in shaping their alignments with global powers. The ultimate outcome is still up in the air, but one thing is clear: power in the region is actively being renegotiated. The diverging approaches from China and the US have set the stage for a broader reconfiguration of power in Latin America and the Caribbean. Yet, it’s essential to recognize that each country’s internal decisions and policies also play a critical role in shaping this shifting landscape. Colombia provides a case in point. Historically, it has maintained close diplomatic ties with the United States while keeping China at arm’s length. Unlike countries like Brazil, Argentina, and Peru, Colombia has received relatively little Chinese infrastructure investment. However, with the election of president Gustavo Petro—the first left-wing president in the country’s history—Colombia has taken decisive steps to strengthen its relationship with China, presenting new challenges for the United States to maintain its strategic foothold in the country. We observe – both on political and economic dimensions – that the changes in China’s strategy, coupled with Colombia’s domestic policies, have reduced the country’s dependence on the US while increasing its desire to integrate with China. Politically, Colombia and the United States have long enjoyed a strong diplomatic relationship, as reflected in their shared memberships in international organizations, high-level dialogues, and multiple bilateral agreements. However, diplomatic tensions have emerged in recent years. Disputes between the two leaders, the change of course of USAID, and a significant drop in new bilateral agreements over the past four years have contributed to a shift in this traditionally stable partnership. Against this backdrop, diplomatic ties between China and Colombia have strengthened. In 2023 alone, both countries signed 12 cooperation agreements in trade, technology, and economic development, upgraded their relationship to a strategic partnership, and Colombia’s entry into the Belt and Road Initiative during recent China – CELAC Forum in May. Colombia also joined the BRICS New Development Bank a few weeks after that Forum. Economically, the US has traditionally been Colombia’s largest trading partner, backed by a free trade agreement and significant investment. Yet, in recent years, the share of US trade has steadily declined, while China’s footprint has grown (see figure 1). Although there’s no formal trade agreement, ties have strengthened during the current administration, including the opening of a Buenaventura-Shanghai trade route in 2025. Additionally, China’s “infrastructural diplomacy” has significantly grown: over 100 Chinese companies now operate in Colombia, and major infrastructure projects like Bogotá’s Metro Line 1 and the Regiotram are underway, along with investments in mobility, technology, and health. Latin America, and Colombia in particular, finds itself at the center of a geopolitical tug-of-war with China’s calculated investments and the US’s shifting policies. While Beijing leverages trade, infrastructure, and cultural diplomacy to expand its influence, Washington’s recalibration of its foreign policy leaves room for new alliances and opportunities. Our analysis shows that power reconfiguration is not merely a product of external rivalry. It is driven by the choices each Latin American nation makes. As Colombia’s case demonstrates, the region’s destiny hinges not just on global superpowers, but on its own internal political decisions and developments. The coming years will test how Latin America navigates these shifting currents. Disclaimer This article was made possible in part by a grant from the Carnegie Corporation of New York (G-PS-24-62004, Small State Statecraft and Realignment). The statements made and views expressed are solely the responsibility of the authors. Figure 1: China vs. US Import and Export TrendsDrawn by the authors using data from the World Bank.  

Diplomacy
Create a sleek, futuristic background for a technology summit, featuring a glowing digital map of africa on a blue background. the design should include modern tech elements like neon circuits, digital grids, and abstract data streams, all in vibrant

The politics of locationality: Interrogating AI development, locational (dis)advantage and governance in Africa

by Vincent Obia

Abstract The paper considers the question of location in the development and governance of artificial intelligence in Africa. The discussion draws from ideas on locational advantage and the mix of factors that affect inequalities in AI development and how this influences the ability that countries have to shape AI norms, cultures and governance. It analyses policy documents and internet databases to highlight Africa’s place in AI development, the continent’s governance approach and the symbiotic relationship that explains the influence of advanced countries and tech corporations in the AI landscape. Based on this, it proposes the concept of the ‘politics of locationality’ to extend our understanding of how the power resident in AI systems is associated with their primary situatedness and how this reality, in turn, (re)produces imbalances and unequal opportunities for Africa in AI development and governance. It concludes with implications for Africa’s contribution to global AI cultures, design and governance at this time of pressing need for well-balanced AI policies. KeywordsAI governance, culture, ethics, inequality, locational advantage, politics of locationality Introduction The race for supremacy in AI development and governance has gathered pace among leading countries such as the US, European nations and China (Bradford, 2023). Many of the largest AI companies and models trace their origins to these countries and benefit from massive investments in computing, data and skills (Moorosi, 2024). By contrast, African countries mainly boast of AI startup ecosystems coordinated by technology hubs such as Kenya’s ‘Silicon Savannah’ (Eke et al., 2023) and African journalists have had to grapple with tools like ChatGPT, given the relevance of generative AI for media production (Gondwe, 2023). Although many of these experiences show Africa’s creative potential in the AI sector, as well as its growing market for AI technologies and tools (Okolo et al., 2023), there remain complex historical, cultural, political, legal, economic, labour and data factors that the continent faces in its drive towards AI development and governance. This mix of factors is a subject that scholars have considered to varying degrees (Muldoon and Wu, 2023; Png, 2022). I build on this by examining the question of locationality within that mix and how locationality helps to explain aspects of the symbiotic relationship between countries and platforms in shaping AI design and governance principles within a global context. My discussion sits at the intersection of critical media studies (Ott and Mack, 2014), digital geopolitics (Wong, 2021) and AI studies (Crawford, 2021), seeking to demonstrate why AI, understood as a political tool for constructing knowledge and generating maps of meaning, should be situated. This focus on situatedness further ties into studies on economic geography and locational advantage (Dunning, 1998; Iammarino and McCann, 2013), which explain why multinationals such as AI companies are more likely to choose certain locations as headquarters and how these locations are better placed to acquire greater leverage and power. It relates to the understanding that the location where a technology company is headquartered has considerable influence to shape that company’s decisions (Sargsyan, 2016), presupposing that advanced AI development confers locational advantage on the place where this development is primarily domiciled, making it a locus of power in shaping global AI ethics, norms and governance. This presupposition is what I interrogate by asking: How do issues around the location of AI development explain the impact that African countries have to shape AI design, cultures and governance in light of inequalities between advanced nations and the majority world? This question is crucial as it indicates which countries are better positioned as key definers of AI at a time when the design, norms, ethics, principles and governance of the technology are being concretised. It also leads to my argument on what I call the ‘politics of locationality’ as a concept to advance our understanding of how the primary situatedness of leading AI companies in advanced locations (such as the Global North) reveals inequalities in AI development and governance in the majority world. In this paper, advanced locations refer to the US, Europe and China – following Bradford’s (2023) description of them as the three digital empires, having the capacity not only to define the digital ecosystem in line with their cultures and priorities, but also shape the digital values of other countries that fall under their influence. The discussion that follows flows through a review of the literature, my methodology and findings, culminating in my argument on the politics of locationality. Locationality and the mix of factors in AI development Across the AI landscape, ethical principles are vital because they guide AI development, design and governance (Tidjon and Khomh, 2022). In Africa, some of the ethical and cultural values that researchers contend should guide AI development include ubuntu (communal humaneness), humanism and indigenous knowledge (Nayebare, 2019; Mhlambi and Tiribelli, 2023). Not enough of this has been realised, however, given that AI technologies on the continent remain a largely Western import (Eke et al., 2023). Nonetheless, home-grown African AI systems have been on the rise, evident in the creation of technology centres such as Kenya’s ‘Silicon Savannah’, Ethiopia’s ‘Sheba Valley’ and Nigeria’s ‘Yabacon Valley’ (Eke et al., 2023). The centres serve as ecosystems that provide leverage for AI startups that are supported by communities such as Data Science Nigeria and Deep Learning Indaba (Nuwer, 2024). Okolo et al. (2023) found that there are at least 102 of these startups in Africa. But they face challenges ranging from limited infrastructure for energy and computing-intensive technology and lack of expertise (Nuwer, 2024). These challenges presuppose that AI development on the continent is likely to lag behind global advancements – with implications for the influence that the continent has as a place from which AI norms, ethics and governance are shaped. The US remains a dominant player in shaping AI ethics and governance. Chan et al. (2021), for instance, observe that the US is predominant in the AI development space, in line with its economic and cultural dominance and China follows closely behind, pointing to a US-China tech war in digital geopolitics (Wong, 2021). China, in particular, has exported AI facial recognition and smart city technologies to Africa, serving as the continent’s largest foreign ICT investor (Lin, 2024), with increasing access to African datasets (Okolo et al., 2023) – a worrying trend. Also, investments in AI still concentrate in countries like the US and China, with only 1% of global venture capital flows into Africa (Moorosi, 2024). This means profits from AI development are typically reinvested in the leading countries, creating further disparities between them and the majority world (Chan et al., 2021). Although major tech companies (e.g. Google and Microsoft) have invested in Africa by establishing AI labs in African countries, Chan et al. (2021) note that it is common for staff working in these labs to be based in advanced countries. These major AI companies have also diversified their locational presence by outsourcing some operations through an international division of labour across Africa. But they tend to do so in exploitative ways such as hiring low-wage data annotators, highlighting the continent’s locational disadvantage (Ludec et al., 2023). What this points to is the relation of labour and capital, which further underscores Muldoon and Wu’s (2023) description of the global AI supply chain as colonial, since it is actualised through an international division of digital labour that extracts value from labour in the majority world for the benefit of Western technological companies. It also reinforces hegemonic knowledge production through Western values and knowledge that marginalise non-Western alternatives (Muldoon and Wu, 2023). This hegemonic knowledge production leads to questions on the role of the human in the machine, since AI is not based on abstract models, but is embedded in human agency and cultural values (Natale and Guzman, 2022). Additionally, this hegemonic knowledge production not only ties into discourses on power in critical media studies (Ott and Mack, 2014), but also on the relevance of AI for creative and cultural work (Lee, 2022) – as seen in the use of ChatGPT, which, African journalists say, is built on a poor and non-representative African corpus and perpetuates stereotypes of the continent (Gondwe, 2023). What the foregoing, therefore, indicates are the mix of historical, technological, economic, labour and cultural factors that underpin AI development and deployment in Africa’s locational context, with implications for governance outcomes. AI governance and digital regulation in Africa In terms of governance, state actors in Africa have drawn up policy and legal instruments at local levels and are only just taking part in global multistakeholder conversations. Examples of these multistakeholder fora include the AI Governance Alliance of the World Economic Forum (2025), where three African countries (Rwanda, South Africa and Kenya) are represented and the Global Partnership on Artificial Intelligence (2025), where Senegal is the only African country. It is unclear what influence African countries wield in multistakeholder bodies like these, but the indication is that inclusion is usually performative and exists for ‘virtue signalling and promotional purposes’ (Png, 2022: para. 17). At continental and regional levels, Plantinga et al. (2024) observe that African countries have increasingly turned towards AI strategies, but without considering how feasible these are to implement and their suitability to local contexts. There are also data localisation laws, which stipulate that data be stored and processed in the location where they are generated, with restrictions on data transfers across borders (Giovane et al., 2023). These laws, which point to the geographical relevance of data, have been introduced by at least 16 African countries, including Mauritius, Lesotho and Ivory Coast; they are also present in legal instruments on data protection, financial transactions, cybersecurity and telecommunications in several countries across the continent (CIPESA, 2022). Locationality is therefore the underlying principle in data localisation, underscoring the importance of data for AI control and governance. Sargsyan (2016: 2224), for instance, notes: ‘countries that host intermediaries’ data centres and offices have more opportunities to exercise influence over companies’ decisions and claim jurisdiction over data stored in their territory.’ What is crucial here is the presence of data centres which is vital for AI production, and African countries face challenges in relation to data, since the continent’s data centre landscape is nascent although growing (DCByte, 2023). When it comes to enforcement, only a few countries have been successful in imposing local laws and claiming jurisdiction over data stored in data centres, the most successful being the US (Sargsyan, 2016: 2231). This underscores the difficulties of AI policy implementation that African governments face, since, as CIPESA (2022) notes, there is barely any evidence that data localisation laws have been enforced in Africa. Where implementation has been more practicable is in the imposition of internet taxes on users in countries like Guinea, Benin, Uganda and Zimbabwe (Bergére, 2019). The infrastructure platforms through which governments enforce the taxes are local Internet Service Providers (ISPs) and telecommunication providers (Bergére, 2019). The same process finds expression in the imposition of internet bans in Africa – enforcement targets usage disruption and is done through local ISPs (Parks and Thompson, 2020). African countries ordinarily enjoy a positive balance of power in comparison with local ISPs. Also, the fact that major tech and AI companies can be banned from operating or delivering services in any African country points to the power that the state has to impose controls as a means of last resort. Users can also deploy collective action against AI companies (Fratini and Musiani, 2024). All these highlight the diverse ways in which power and governance are contested at local levels but say little about the place that Africa holds in contributing to and shaping AI ethics, governance and worldviews in the global sense. If, as Sargsyan (2016) notes, the location where a technology company is headquartered has significant powers to influence the decisions of the technology company, then what does Africa’s record in AI development imply for its ability to shape AI design, ethics, cultures and governance? This question is what I aim to answer in interrogating the relevance of the politics of locationality for AI in Africa. Method To this end, I draw from a methodological approach informed by textual analysis of AI policy documents and critical analysis of internet databases containing the location associated with AI companies/models. For the AI policy documents, I focussed on three domains. The first domain concerned the AI policies of African countries, where I selected the AI Strategies of four countries: Mauritius (Mauritius AI Strategy, 2018), Egypt (Egypt AI Strategy, 2021), Rwanda (Rwandan National AI Policy, 2022) and Nigeria [draft] (Nigerian AI Strategy, 2024), representing South, North, East and West Africa respectively. I also reviewed the African Union’s (2024) AI Strategy. Mauritius, Egypt and Rwanda are particularly relevant because they are the first three countries to introduce AI strategies in Africa. I chose AI strategies because they comprise one of the major emphases for policymakers on the continent (Maslej et al., 2024). I analyse the strategies based on themes, which I developed after reviewing and coding the texts. The second domain included the AI policies of leading global players in AI: the US, EU and China. Here, my analysis aimed to ascertain whether these policies mandate AI firms to develop their technologies in line with principles and standards upheld by the leading countries. The third domain included the policies of some of the largest AI companies/models: OpenAI and Gemini (for the US), Darktrace (for the UK) and UBTECH and Qwen (for China). My aim was to examine whether these AI companies/models subject their policies and practices to the countries or places where they are headquartered. For the database searches, I accessed and reviewed the following to ascertain the location of AI companies globally: Datamation (see Jungco, 2024), AI Directory (2024) and the Companies Market Capitalisation (2024). I also drew from sources such as Epoch AI (2024), the Emerging Technology Observatory’s (2024) AI Country Activity Tracker and the AI Index Report (Maslej et al., 2024). Overall, my goal was to assess Africa’s place in AI development in comparison with the leading countries in AI before considering the leverage that locationality affords to nations when it comes to AI design, ethics and governance – the underlying premise for the politics of locationality. Locational advantage and AI development in Africa While acknowledging the mix of factors that comprise AI development, my findings focus on locationality by considering the number of AI companies headquartered in Africa and elsewhere. Here, I found that most AI companies are headquartered in advanced countries, with many of the largest AI companies being in the US. These are companies that have significant capitalisation as listed on the Companies Market Cap to scale globally and invest in AI infrastructure and models that fundamentally impact societies. Jungco’s (2024) review shows that the overwhelming majority (80%) of these companies are based in the US (81 out of 101 companies). The closest to this was the UK, which had eight companies out of 101. India and Canada had three each; China and Germany had two each; and Israel and Hong Kong had one each. The same is true for data compiled by AI Directory (2024) and the Companies Market Capitalisation (2024). I compiled the three listings (Jungco, 2024; AI Directory and the Companies Market Cap) and removed duplicates. The combined list comprised 234 of the largest AI companies (see Table 1), ranging from Apple valued at $3.3 trillion to FR8Tech valued at $2.1 million. The outcome shows that at 73%, the US is the undoubted leader. It is followed by India (5.98%), the UK (5.56%), China (2.99%) and Canada (2.56%). There is no African country on the list.   There is a similar outcome for data on notable AI models, such as OpenAI’s ChatGPT, Alibaba’s Qwen and Meta’s Llama. Table 2 shows that, when isolating for AI models owned by organisations or entities that come from only one country, two-thirds (67.7%) of these notable AI models are traceable to the US. Again, no other country comes close; the closest countries are the UK, China, Canada and Germany. Maslej et al. (2024), in the AI Index, also show that foundation AI models, which are the basis for generative AI, are far more prevalent in the US. Again, there are no entries for Africa.   If Africa does not serve as a headquarter for the largest AI companies or models, what then can be said about AI startups? To answer this, I consulted the 2024 AI Country Activity Tracker, which presents data on the number of approved AI patents based on country locations, including patents for AI startups. The data, presented in Table 3, show that Africa is only ahead of the Middle East; even at this, Africa accounts for only 0.000006% or 157 of the 250,224 AI patents captured in the tracker. And only three African countries account for the continent’s figures: South Africa (139 patents), Morocco (17 patents) and Kenya (1 patent). Although this figure of 157 is slightly more than the 102 startups that Okolo et al. (2023) provided, the conclusions are similar: Africa has some way to go in making up for AI development in the future.   All these show that although Africa provides labour and data for AI companies globally and is poised to be a significant market as internet connectivity spreads (Access Partnership, 2024), it barely serves as a headquarter for AI companies, particularly the largest ones. This underscores Africa’s nascent standing in AI development and suggests that African countries will likely be constrained in their ability to shape wider AI ethics, cultures and governance. It perhaps explains why no African country has passed AI legislation into law (although some attempts are underway), with focus instead on AI task forces, national policies and strategies (Maslej et al., 2024). I turn next to the analysis of these strategies to examine the policy approach to AI development and governance in Africa. Analysing AI strategies in Africa My analysis of the AI strategies/policies of Mauritius, Egypt, Rwanda, Nigeria and the AU shows that they coalesce around four main themes: AI adoption for economic growth, AI partnership and collaboration, improving AI ethics and governance and strengthening local AI capacity. The focus on AI for economic growth is understandable, given that AI’s potential for economic transformation is a major attraction. This focus, which is present in all the strategies, highlights how AI can enhance economic development in various sectors (see in particular, the Mauritian Strategy). But more important, in the context of my discussion, are the inequalities in international cooperation and multistakeholder governance that the strategies point towards. To establish this, I refer to Pillar Two of the Nigerian AI Strategy, which underscores the need for partnership and collaboration among local and international stakeholders to leverage AI expertise and resources. The Rwandan AI Policy also recommends international partnerships and collaboration in AI development. But collaborations, especially with international private actors, highlight the need to evaluate where the major partners come from. These partners can collaborate with African countries and invest in AI, but they still operate primarily by rules set in their home countries, even if they also subscribe to laws in subsidiary countries (I establish this point in the next section). The exception would be collaboration within the continent, as can be found in the Egyptian and AU Strategies. The third theme, which focusses on ethics and governance, acknowledges the risks of AI and the need to mitigate them. It considers the importance of having AI principles such as fairness, transparency and accountability (see the Nigerian Strategy). The AU Strategy also mentions the need to guard against bias and risks to African values, indigenous knowledge and cultural heritage. This is connected to the AU’s Agenda 2063, which has a media and culture mandate to support inclusive and ethical AI through values such as ubuntu. But the plan to address these risks, for the most part, points to multistakeholder governance. The Egyptian Strategy, for instance, seeks to ‘actively contribute to global efforts and playing an active role in AI in different international fora’ (Section 5.1). Rwanda’s Policy also intends to ‘actively contribute to shaping responsible AI principles and practices in international platforms’ (Key Policy Recommendation 14). Likewise, the AU Strategy promotes a ‘multi-tiered governance approach’ (Section 2.4.1). They highlight a move towards greater inclusivity in international governance – hence the use of the word ‘actively’ in many of the strategies. My point, however, is that no matter how ‘actively’ African countries intend to influence AI cooperation, ethics and governance, there is a need to first reckon with Africa’s standing in AI development. Policymakers on the continent seem to have recognised this reality, and it is noticeable in their focus on strengthening local AI capacity. The AU Strategy, for instance, notes that Africa faces challenges around lack of computing platforms, limited data for training AI models and a scarce supply of AI skills, observing that, as of 2023, all the world’s supercomputers are located in only 30 countries. The Nigerian Strategy also recognises the need to build ‘affordable and localised infrastructure foundations and the compute capacity’ (Section 1.4.2) by making high-performance computing available. In Rwanda and Egypt, there is emphasis on AI training in schools. Evident here is a recognition that the continent lags behind in AI development, although it has a growing AI startup ecosystem and an unsaturated market for AI. It underscores the need to interrogate AI development, the locational advantages and disadvantages it represents and its links to governance inequalities. I argue that this should be a major consideration in Africa, based on what I describe as the politics of locationality. The politics of locationality Having established the foundational basis for my argument, I now define the politics of locationality as the way in which the power resident in Big Tech and AI systems is associated with their primary situatedness in places of advanced technological and AI development and how this underlying reality, in turn, (re)produces imbalances and unequal opportunities for AI development and governance faced by countries in the majority world, particularly Africa. The politics of locationality highlights the mix of advantages that countries such as the US, China and those in Europe where the largest AI companies are headquartered have. By contrast, African countries, despite advances that have been made in the AI startup ecosystem and state policy interventions, suffer from a range of disadvantages in locational, political, economic, cultural, data, labour and historical spheres. Addressing this mix of disadvantages is what the continent needs to become a location of influence from which the values, ethics and governance that circumscribe AI can be shaped. To expand on my argument, I refer to the AI policies of some of the largest companies and the guiding principles for AI that leading tech countries have drafted. Take OpenAI for instance. The OpenAI (2024) Terms of Use specify that dispute resolution between the company and users anywhere in the world would be coordinated by National Arbitration and Mediation, headquartered in New York. The law that governs the arbitration is the US Federal Arbitration Act. It adds that, ‘California law will govern these Terms’ and ‘claims arising out of or relating to these Terms will be brought exclusively in the federal or state courts of San Francisco, California’ (see Governing Law Section). This is not surprising, given that OpenAI is headquartered in San Francisco. Also, for Gemini (2024), owned by Google, the governing law of its User Agreement is the laws of New York, and the Agreement is seen as a ‘contract wholly entered into and wholly performed within the State of New York’ (see Governing Law Section). I found a similar pattern in the UK and China. In the UK, Darktrace (2024), an AI cybersecurity firm, notes that the governing law of its Master Services Agreement is the laws of England and Wales, except if the customer is located in the US, in which case the laws of California apply. In China, Section VII of the Terms of Use of UBTECH (2023), an AI robotics firm, states: ‘The establishment, effectiveness, performance, interpretation and dispute resolution of this [user] agreement are subject to the laws of the People’s Republic of China (excluding Hong Kong, Macau, Taiwan).’ The same goes for Alibaba’s Qwen (2023), which is covered by the Alibaba Cloud International Website Terms of Use, the governing law of which is that of Singapore, where Alibaba has its office in the Asia Pacific. Hence, I note that AI companies uphold the laws of the countries where they are headquartered, and they subject the governance of their technologies to these laws. AI companies have also come under sustained pressure to develop rules according to the values, ethics and standards of their host nations, thanks, in part, to the dictates of digital geopolitics and the competition for AI supremacy. The US, for instance, had the Biden Administration’s Executive Order on Safe, Secure and Trustworthy Artificial Intelligence (US Executive Order, 2023), through which it sought to promote an AI market that emphasises US innovation and leadership on AI (Section 2(h)) and the need to encourage international partners to support the voluntary commitments of US AI companies (Section 11(a)(ii)). But these voluntary commitments are underpinned by the need for US leadership and ‘to ensure that artificial intelligence is aligned with values shared by all Americans’ (proposed National AI Commission Act (2023), Section 3(g)(1)). The Biden Executive Order was replaced in January 2025 by the Trump AI Executive Order, aptly named, ‘Removing Barriers to American Leadership in Artificial Intelligence.’ All these underscore that a key intention of US policy is that the design of AI mirrors America’s geopolitical leadership, cultural norms, ethics and jurisprudence. A similar line of argument applies to Europe and China. In Europe, the first clause of the European Union (2024) AI Act says its purpose is to lay ‘a uniform legal framework’ for AI development and deployment ‘in accordance with Union values’ (Section 1) and it supports the ‘European human-centric approach to AI and being a global leader’ in AI development (Section 8). In China, there is the Generative AI Measures released in August 2023. The regulation includes a stipulation that generative AI technologies should not produce content that incite the ‘subversion of national sovereignty or the overturn of the socialist system’ (Henshall, 2023: para. 2). The same ethos is evident in China’s 2023 Management of Deep Synthesis of Internet information Services enacted by the Cyberspace Administration of China (2022). It mandates that in developing products such as AI, companies must abide by Chinese laws, correct political direction and value orientation. This was clearly evident in the January 2025 roll out of DeepSeek, a China-based AI assistant, which when asked about Tiananmen Square, refused to answer, saying it follows ‘ethical guidelines’ and added: ‘I respect the laws and cultural contexts in which I operate’ (author’s conversation with DeepSeek). It goes to show that expansive or restrictive design and deployment of AI technologies are subject to the value system prevalent in their originating countries. Hence, the politics of locationality sustains the different visions that leading tech countries have of AI in their battle for supremacy – visions that are not necessarily inclusive of African perspectives even though they find expression on the continent through pervasive deployment and usage. Conclusion In this paper, I have examined the importance of the location of AI companies and, by so doing, introduced the politics of locationality as a concept to extend our understanding and explain the standing that nations have in AI development and how this translates to the influence they wield in AI governance. My discussion showed that although Africa has a growing AI startup ecosystem, a burgeoning user market base and state influence in policymaking, the continent still faces a mix of disadvantages in historical, technological, political, legal, economic, labour and data spheres. This mix reveals the locational disadvantage that confronts Africa as a place from which AI ethics, cultures and governance can be shaped in the global sense. It relates to Hassan’s (2023) point on the ‘lack of African AI innovations that are rooted in the local context but [have] the potential to compete at the global scale’ (p. 1430). What I found was that AI companies that have global scale and presence are headquartered mainly in leading tech countries (the US, China and European nations) and have subjected themselves to the governing laws of these countries. Conversely, the laws and policies of leading tech countries mandate that these companies, among other things, embed the respective country’s ethos, values and cultures into AI systems. The link between AI systems and cultural values as outlined in this paper, therefore, points to the connection between media and cultural studies and AI. In particular, the paper highlights the importance of considering how AI is produced and shaped by cultural understandings, and how AI further projects, shapes and extends culture. It suggests the need for greater research emphasis on the connections between media, AI and culture, given that AI represents the intersection of human labour, machine learning, infrastructure (e.g. data centres), mineral resources (e.g. lithium), media inputs (vast troves of data: information, texts, pictures, videos, maps, and codes) and classification systems that all combine to transform AI models into mechanics of knowledge construction (Crawford, 2021). The outcome are mediated outputs (e.g. AI responses to prompts and automated decisions) – outputs that simultaneously represent and transform culture, even as they are shaped by it. Equally crucial and more important, in the context of this paper, is the need to consider the locationality of it all. By this I mean the globalised and complex interaction of locations in AI development and governance that potentially determines whose culture is elevated and whose culture is progressively silenced in a relationship defined by hegemony and inequality. Key to understanding this hegemony-inequality mix is the principle of locational advantage, which Iammarino and McCann (2013) describe as a two-way relationship between multinationals and their locational headquarters, noting that just as location is becoming increasingly vital for multinationals, so also are multinationals progressively more important for location (i.e. cities or countries). It underscores my argument on the politics of locationality, which shows that just as large AI firms need locations, such as the US or China, that have the right mix of advantages to serve as headquarters, so also do leading tech countries need and use these firms in setting the cultural and governance paradigm for AI technologies. This structural makeup reflects the imbalances in AI development, explaining why AI governance systems exist within institutional-heterogenous regimes that reproduce Global North dominance (Png, 2022). Addressing these imbalances is what African countries, supported by the AU, should focus on, and there are initial signs that African countries are starting to do this (as seen in the AI strategies). However, a bolder and more robust approach to AI development that is attuned to Africa’s unique sociopolitical context and economic evolution is needed to confront the imbalances tied to the politics of locationality. By so doing, Africa can be positioned to assume locational advantage, with important consequences for inclusive AI and the contribution of global majority countries to the cultures and values embedded in AI systems and the ethics and frameworks by which they are governed. AcknowledgmentsThe author extends appreciation to the editors and reviewers for their helpful and constructive comments, and also to the participants at the 2023 International Symposium on AI Cultures at the University of Turin for their feedback – all of which strengthened the article.Declaration of conflicting interestsThe author declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.FundingThe author disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the Leverhulme Trust as part of an Early Career Fellowship. The University of Sheffield provided open access funding.ORCID iDVincent Obia https://orcid.org/0000-0003-1650-9103ReferencesAccess Partnership (2024) Tech Policy Trends 2024. Available at: https://accesspartnership.com/tech-policy-trends-2024-the-global-south-is-the-new-epicentre-of-internet-governance-innovation/ (accessed 4 January 2025).African Union (2024) Continental artificial intelligence strategy. Available at: https://au.int/sites/default/files/documents/44004-doc-EN-_Continental_AI_Strategy_July_2024.pdf (accessed 10 October 2024).AI Directory (2024) Database of artificial intelligence & machine learning companies. Available at: https://www.aidirectory.org/ (accessed 10 September 2024).Bergére C (2019) “Don’t tax my megabytes”: Digital infrastructure and the regulation of citizenship in Africa. International Journal of Communication 13: 4309–4326.Bradford A (2023) Digital Empires: The Global Battle to Regulate Technology. New York, NY: Oxford University Press. Crossref.Chan A, Okolo CT, Terner Z, et al. (2021) The limits of global inclusion in AI development. arXiv. Crossref. PubMed.CIPESA (2022) Which way for data localisation in Africa? Available at: https://cipesa.org/wp-content/files/briefs/Which_Way_for_Data_Localisation_in_Africa___Brief.pdf (accessed 16 December 2024).Companies Market Capitalisation (2024) Largest AI companies by market capitalization. Available at: https://companiesmarketcap.com/artificial-intelligence/largest-ai-companies-by-marketcap/#google_vignette (accessed 5 September 2024).Crawford K (2021) The Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence. New Haven: Yale University Press.Cyberspace Administration of China (2022) Provisions on the management of deep synthesis of internet information services. Available at: https://www.cac.gov.cn/2022-12/11/c_1672221949354811.htm (accessed 12 October 2024).Darktrace (2024) Master services agreement. Available at: https://cdn.prod.website-files.com/626ff4d25aca2edf4325ff97/66fc2bc0317776db72ac418c_Darktrace%20MSA%20v2.0%202024-10-01.pdf (accessed 4 October 2024).DCByte (2023) Africa’s key data centre markets. Available at: https://africadca.org/wp-content/uploads/2023/07/Title_Africas-Key-Data-Centre-Markets.pdf (accessed 17 December 2024).Dunning JH (1998) Location and the multinational enterprise: A neglected factor? Journal of International Business Studies 29(1): 45–66. Crossref. Web of Science.Egypt AI Strategy (2021) Egypt National Artificial Intelligence strategy. Available at: https://mcit.gov.eg/Upcont/Documents/Publications_672021000_Egypt-National-AI-Strategy-English.pdf (accessed 5 July 2023).Eke DO, Wakunuma K, Akintoye S (2023) Introducing responsible AI in Africa. In: Eke DO, Wakunuma K, Akintoye S (eds) Responsible AI in Africa: Challlenges and opportunities. Chan, Switzerland: Palgrave Macmillan, pp.1–11. Crossref.Emerging Technology Observatory (2024) AI Country Activity Tracker. Available at: https://cat.eto.tech/?countryGroups=Africa%2CAsia%20Pacific%2CEurope%2CLatin%20America%20and%20the%20Caribbean%2CNorthern%20America%2COceania&dataset=Patent&expanded=Summary-metrics (accessed 7 September 2024).Epoch AI (2024) Notable AI models. Available at: https://epoch.ai/data/notable-ai-models?view=table#explore-the-data (accessed 7 September 2024).European Union (2024) Artificial Intelligence Act. Available at: https://eur-lex.europa.eu/legal-content/EN/TXT/PDF/?uri=OJ:L_202401689 (accessed 25 January 2025).Fratini S, Musiani F (2024) Data localization as contested and narrated security in the age of digital sovereignty: The case of Switzerland. Information, Communication & Society: 1–19. Crossref. Web of Science.Gemini (2024) User Agreement. Available at: https://www.gemini.com/legal/user-agreement#section-business-day (accessed 4 October 2024).Giovane CD, Ferencz J, López-González J (2023) The nature, evolution and potential implications of data localisation measures. OECD Trade Policy Papers, No. 278. Paris, France: OECD Publishing.Global Partnership on Artificial Intelligence (2025) GPAI Members. Available at: https://gpai.ai/community/ (accessed 7 January 2025).Gondwe G (2023) CHATGPT and the Global South: How are journalists in sub-Saharan Africa engaging with generative AI? Online Media Global Communication 2(2): 228–249. Crossref.Hassan Y (2023) Governing algorithms from the South: A case study of AI development in Africa. AI & Society 38: 1429–1442. Crossref. Web of Science.Henshall W (2023) How China’s new AI rules could affect U.S. companies. Times, 19 September.Iammarino S, McCann P (2013) Multinationals and Economic Geography: Location, Technology and Innovation. Cheltenham: Edward Elgar. Crossref.Jungco KG (2024) 100 top AI companies trendsetting in 2024. Available at: https://www.datamation.com/featured/ai-companies/ (accessed 9 September 2024).Lee H-K (2022) Rethinking creativity: Creative industries, AI and everyday creativity. Media, Culture & Society 44(3): 601–612. Crossref. Web of Science.Lin B (2024) Beyond authoritarianism and liberal democracy: Understanding China’s artificial intelligence impact in Africa. Information, Communication & Society 27(6): 1126–1141. Crossref. Web of Science.Ludec CL, Cornet M, Casilli AA (2023) The problem with annotation. Human labour and outsourcing between France and Madagascar. Big Data & Society 10(2): 1–13. Crossref.Maslej N, Fattorini L, Perrault R, et al. (2024) The AI index 2024 annual report. Available at: https://aiindex.stanford.edu/wp-content/uploads/2024/05/HAI_AI-Index-Report-2024.pdf (accessed 23 September 2024).Mauritius AI Strategy (2018) Maritius Artificial Intelligence strategy. Available at: https://ncb.govmu.org/ncb/strategicplans/MauritiusAIStrategy2018.pdf (accessed 20 June 2023).Mhlambi S, Tiribelli S (2023) Decolonizing AI Ethics: Relational Autonomy as a Means to Counter AI Harms. Topoi 42: 867–880. Crossref. Web of Science.Moorosi N (2024) Better data sets won’t solve the problem — we need AI for Africa to be developed in Africa. Nature 636: 276. Crossref. PubMed. Web of Science.Muldoon J, Wu BA (2023) Artificial intelligence in the colonial matrix of power. Philosophy & Technology 36(80): 1–24.Natale S, Guzman AL (2022) Reclaiming the human in machine cultures: Introduction. Media, Culture & Society 44(4): 627–637. Crossref. Web of Science.National AI Commission Act (2023) National AI Commission Act (H.R.4223). Available at: https://www.congress.gov/bill/118th-congress/house-bill/4223/text (accessed 4 October 2024).Nayebare M (2019) Artificial intelligence policies in Africa over the next five years. XRDS 26(2): 50–54 Crossref.Nigerian AI Strategy (2024) National Artificial Intelligence strategy [draft]. Available at: https://ncair.nitda.gov.ng/wp-content/uploads/2024/08/National-AI-Strategy_01082024-copy.pdf (accessed 4 October 2024).Nuwer R (2024) Africa’s newest resource could be a game-changer for the global south. Nature, 19 September.Okolo CT, Aruleba K, Obaido G (2023) Responsible AI in Africa—Challenges and opportunities. In: Eke DO, Wakunuma K, Akintoye S (eds) Responsible AI in Africa: Challenges and Opportunities. Chan, Switzerland: Palgrave, pp.35–64. Crossref.OpenAI (2024) Terms of Use. Available at: https://openai.com/policies/row-terms-of-use/ (accessed 4 October 2024).Ott BL, Mack RL (2014) Critical Media Studies: An Introduction. West Sussex: Wiley Blackwell.Parks L, Thompson R (2020) The slow shutdown: Information and Internet regulation in Tanzania from 2010 to 2018 and impacts on online content creators. International Journal of Communication 14: 4288–4438. Web of Science.Plantinga P, Shilongo K, Mudongo O, et al. (2024) Responsible artificial intelligence in Africa: Towards policy learning. Data & Policy 6: e72. Crossref. Web of Science.Png M-T (2022) At the tensions of South and North: Critical roles of Global South stakeholders in AI governance. In: Bullock JB, Chen Y-C, Himmelreich J, et al. (eds) The Oxford Handbook of AI Governance. Oxford: Oxford University Press. Crossref.Qwen (2023) Alibaba cloud international website terms of use. Available at: https://www.alibabacloud.com/help/en/legal/latest/alibaba-cloud-international-website-terms-of-use-alibaba-cloud-international-website-terms-of-use (accessed 8 October 2024).Rwandan National AI Policy (2022) The national AI policy. Available at: https://rura.rw/fileadmin/Documents/ICT/Laws/Rwanda_national_Artificial_intelligence_Policy.pdf (accessed 5 July 2023).Sargsyan T (2016) Data localization and the role of infrastructure for surveillance, privacy, and security. International Journal of Communication 10: 2221–2237. Web of Science.Tidjon LN, Khomh F (2022) The different faces of AI ethics across the world: A principle-implementation gap analysis. arXiv. Crossref.UBTECH (2023) Terms of Use. Available at: https://www.ubtrobot.com/en/privacy/termOfUse (accessed 4 October 2024).US Executive Order (2023) Executive order on the safe, secure, and trustworthy development and use of artificial intelligence. Available at: https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence/ (accessed 10 January 2024).Wong PN (2021) Techno-Geopolitics: US-China Tech War and the Practice of Digital Statecraft. London: Routledge. Crossref.World Economic Forum (2025) AI Governance Alliance - Our partners. Available at: https://initiatives.weforum.org/ai-governance-alliance/partners#countries=Africa (accessed 7 January 2025).