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Defense & Security
Grunge abstract background. Background concept of the war in Ukraine. Sleeve flags dirt smoke.

The end of Great Illusions and the Revenge of Realism. The Case of the War in Ukraine – Part 1

by Krzysztof Sliwinski

Abstract This is the first part of an analysis examining the initial perceptions and evolving realities of the Russia-Ukraine war, which began in February 2022. Early Western media and political narratives were optimistic about Ukraine’s military resilience and potential victory, highlighting heroic resistance, Western support, and Russian operational failures. However, the reality has been more complex, as Ukraine faced significant challenges, including numerical and equipment inferiority, underfunding, limited combat brigades, and a lack of strategic reserves. Despite these hardships, Ukraine managed to resist Russia’s initial advances, as exemplified by symbolic events such as the defence of Snake Island. The article explores the human and economic costs of the ongoing war. Ukraine requires an estimated $524 billion in reconstruction funding, following a 30% drop in GDP in 2022 and ongoing economic hardships. Western aid has been substantial, exceeding €400 billion, but the conflict’s economic fallout also burdens donor countries, causing inflation and growth slowdowns. Key Words: Realism, War, Ukraine Introduction At the very beginning of the ‘Special Military Operation’ – an invasion of Ukraine by Russia - most academics, policymakers, political leaders, and media pundits were hugely impressed by Ukraine’s initial military response. Most were genuinely of the opinion that Russia was weak, economic sanctions would cripple its economy, President Putin had little to no public support, and that with enormous help from the U.S. as well as most EU Member states, Ukraine would not only resist the attack but ultimately win the war with Russia on its own territory and perhaps even facilitate the government change in Kremlin. Any skeptical views regarding the possible Ukrainian victory were swiftly silenced and dismissed as pro-Putin propaganda or even deliberate disinformation, therefore suggesting that any sceptics are more or less Putin’s agents. Let’s look at some media titles from March 2022 onward (the war started on 24 February, 2022). Overenthusiastic narrative At the outset of Russia's invasion of Ukraine in late February 2022, many initial media reports and analyses were pessimistic, predicting a swift Russian victory based on military disparities. However, by March 2022, as Ukrainian forces demonstrated unexpected resilience — repelling advances on Kyiv and inflicting significant losses on Russian troops—some Western media outlets began publishing more enthusiastic and optimistic pieces about Ukraine's potential to prevail. These often-highlighted Ukrainian morale, Western support, and Russian operational failures. Below, the reader will find several examples from that early period, drawn from a range of sources including news articles and opinion pieces. Admittedly, media coverage of this topic is inherently biased, with Western outlets generally favouring Ukraine's perspective. In contrast, Russian state media promoted the opposite narrative (e.g., RIA Novosti's premature victory declaration on February 28, 2022, which was quickly retracted). One of the events that genuinely inspired the world at the very beginning of the war was the so-called Snake-Island Campaign. Snake Island is a tiny (0.17 km²) Ukrainian outpost in the Black Sea, about 48 km off the coast of Odesa. Despite its size, the island is geostrategically vital: it hosts radar stations, enables missile launches, and controls maritime routes for grain exports from Odesa. Russian control threatened Ukraine's southern coast and Black Sea shipping.[1] On the invasion's first day, the Russian cruiser Moskva (Black Sea Fleet flagship) radioed: "Snake Island, this is a Russian warship. I repeat: put down your arms... or you will be bombed." The 13 Ukrainian border guards replied: "Russian warship, go f… yourself." Russians captured the island via helicopter assault; defenders were taken POW but later exchanged and awarded Ukraine's Hero of Ukraine title. Consequently, legacy media began painting a rather rosy picture of the Ukrainian campaign. Below, the reader will find several examples: - The Atlantic - "Ukraine Is Winning. Don't Let Up Now." (March 28, 2022). This opinion piece by Eliot A. Cohen expressed strong optimism about Ukraine's battlefield performance, crediting heroic resistance and Western aid while critiquing Russia's weaknesses. Key quotes: "Truly magnificent Ukrainian resistance — heroic and clever at once — backed by Western arms and intelligence accounts for much of this." and "If Ukraine prevails, its example will be at least a partial deterrent to further adventures by Russia, and perhaps by China." The article urged continued support to secure a Ukrainian victory. [2] - The Washington Post - "Ukraine-Russia talks stir optimism, but West urges caution" (March 29, 2022). This news report highlighted positive developments from peace talks in Istanbul, where Russia pledged to reduce military operations around Kyiv, fostering hope for a resolution favourable to Ukraine. It noted enthusiasm around Ukraine's proposals for neutrality with security guarantees, though tempered by skepticism. A key optimistic element: The talks "stirred a glimmer of hope" amid Ukraine's successful defence, with Ukrainian negotiators pushing for international backing to end the conflict on terms that preserved sovereignty. [3] - Associated Press (AP) - "Russia says it will cut back operations near Ukraine capital" (March 29, 2022). This wire report conveyed optimism following Russia's announcement of scaling back assaults on Kyiv and Chernihiv, interpreting it as a sign of Ukrainian leverage in negotiations. Key quote: "Russia announced Tuesday it will significantly scale back military operations near Ukraine’s capital and a northern city, as the outlines of a possible deal to end the grinding war came into view at the latest round of talks." It portrayed this as a potential turning point, with Ukraine's delegation outlining a framework for neutrality backed by guarantor nations.[4] - Deutsche Welle (DW) - "Ukrainians have won the information war" (March 7, 2022). While primarily focused on the information domain, this article by historian Margaret MacMillan extended optimism to the broader conflict, arguing that Ukraine's narrative success bolstered its military position. Key quote: "The Ukrainians have won the information war... This is helping them win support around the world, which in turn is translating into real help on the ground." It emphasized global sympathy, fuelling aid that could tip the scales toward Ukrainian victory.[5] - In a rather absurd tone, the Polish media reported that a Kiev female resident destroyed a Russian military drone with a jar of pickles when enjoying a cigarette on her balcony.[6] Reality on the ground was somewhat different, however. In fact, as Valerii Zaluzhnyi, Ambassador of Ukraine to the United Kingdom, ex-Commander-in-Chief of the Armed Forces of Ukraine, rightly observed, before the invasion by Russia, the Armed Forces of Ukraine faced several significant challenges: 1. Numerical and Equipment Inferiority: As of the end of 2021, the Russian army was about five times larger than the Ukrainian army, with four times more tanks and armoured combat vehicles, 3.4 times more artillery, and 4.5 times more attack helicopters. The Ukrainian Navy was notably weaker, lacking aircraft carriers, destroyers, corvettes, or submarines.[7] 2. Underfunding and Stagnation: Despite politicians declaring that more than 5% of GDP was allocated to security and defence, less than half of the allocated budget went to the Ministry of Defence. There was no increase in funding for developing and procuring weapons and equipment, with most money going to financial support for the military personnel. This led to stagnation, with a lack of finances for development and combat readiness, personnel outflow, and understaffed military units. 3. Limited Combat Brigades: At the time of appointment of the author as Commander-in-Chief in August 2021, there were only 24 combat brigades in the Armed Forces of Ukraine, with 12 already engaged in combat in the East and South. Only 12 combat brigades remained available for deployment in the event of aggression. 4. Insufficient Modern Weapons: Ukraine had very few modern weapons compared to Russia. The total need for funds to repel aggression, including replenishing missile and ammunition stocks, was estimated at hundreds of billions of hryvnias, which the Armed Forces did not have. 5. Lack of Strategic Reserves and Preparedness: The Armed Forces were unable to create sufficient strategic reserves, which are crucial in a strategy of defeat. Ukraine was significantly inferior in personnel, weapons, and military equipment, and lacked the preparation to meet the scale of the impending invasion. These challenges left Ukraine vulnerable and enabled Russia to pursue a strategy of defeat through swift, decisive military action. Reality on the ground – how much has the war cost so far? Russia's invasion has imposed staggering financial burdens on Ukraine and its Western allies through December 2025. Available reports evaluate these costs, encompassing direct damages, economic contractions, and international aid expenditures, drawing from economic assessments and aid trackers. Ukraine has endured profound economic devastation. According to the World Bank's February 2025 Rapid Damage and Needs Assessment, the country requires an estimated $524 billion for reconstruction over the next decade, reflecting cumulative physical damages from infrastructure destruction, housing losses, and disrupted industries.[8]     Source: UKRAINE FOURTH RAPID DAMAGE RDNA4 AND NEEDS ASSESSMENT. (2025, February). World Bank Group. https://documents1.worldbank.org/curated/en/099022025114040022/pdf/P180174-ca39eccd-ea67-4bd8-b537-ff73a675a0a8.pdf The war has apparently obliterated key sectors: agriculture, energy, and manufacturing suffered massively, with export routes like Black Sea ports blocked, leading to a 30% GDP contraction in 2022 alone. By mid-2025, Ukraine's GDP remained 25-30% below pre-war levels, with annual losses projected at $40-50 billion due to reduced output and trade.[9] Military expenditures have surged, consuming over 50% of the national budget, totalling around $100 billion since 2022, funded partly through domestic borrowing and inflation, which peaked at 26% in 2022. [10] Humanitarian costs, including the displacement of 6 million refugees and internal migrants, add billions in social support.[11] Overall, projections estimate Ukraine's total war-related economic harm at $2.4 trillion by 2025, though this likely understates indirect effects like human capital loss and environmental damage.[12] Western nations, primarily the United States and European Union members, have shouldered high costs through aid and indirect economic repercussions. Total bilateral aid from Western donors exceeded €400 billion ($430 billion) by June 2025, including military, financial, and humanitarian support.[13] The U.S. has committed $175 billion in appropriations, with $130.6 billion spent by August 2025, including $66.9 billion in military assistance like weapons and training.[14] EU institutions and member states provided nearly $197 billion, encompassing $63.2 billion from EU budgets and refugee support for 8 million arrivals.[15] The UK itself pledged £12.8 billion, with £7.8 billion for the military.[16] Beyond aid, the war triggered economic shocks in the West. Energy prices soared due to sanctions on Russian oil and gas, contributing to EU inflation averaging 8-10% in 2022-2023 and to a 0.5-1% reduction in annual GDP growth.[17] The U.S. faced similar inflationary pressures, with global growth slowing to 3.1% in 2022, partly from supply disruptions.[18] Proximity to the conflict amplified costs for Eastern EU states, with cumulative GDP shortfalls estimated at €200-300 billion across Europe by 2025.[19] All in all, the war's financial toll surpasses $3 trillion combined for Ukraine and its supporters, straining budgets and exacerbating global inequalities.[20] Sustained aid is vital for Ukraine's resilience, but escalating costs underscore the need for diplomatic resolutions to mitigate further economic fallout. To be continued… References [1] Colibășanu, A., Crowther, A., Hickman, J., & Scutaru, G. (2022, September 27). The Strategic Importance of Snake Island. CEPA. https://cepa.org/comprehensive-reports/the-strategic-importance-of-snake-island/ [2] Cohen, E. A. (2022, March 28). Don’t Let Up Now. The Atlantic. https://www.theatlantic.com/ideas/archive/2022/03/west-strategy-against-russia-ukraine-war/629387/ [3] Fahim, K., Stern, D. L., Lamothe, D., & Khurshudyan, I. (2022, March 29). Don’t Let Up Now. The Washington Post. https://www.washingtonpost.com/national-security/2022/03/29/ukraine-russia-turkey-negotiations/ [4] Jones, T. (2022, March 30). Optimism, pessimism or skepticism? News outlets focus on the right thing in Russia-Ukraine coverage. Poynter. https://www.poynter.org/commentary/2022/optimism-pessimism-or-skepticism-news-outlets-focus-on-the-right-thing-in-russia-ukraine-coverage/ [5] Haas, B. (2022, March 7). Ukrainians have won the information war. DW. https://www.dw.com/en/ukrainians-have-won-the-information-war-historian-margaret-macmillan/a-61022603 [6] Wawrzusiszyn, D. (2022, March 8). To były pomidory, a nie ogórki. Znaleziono Ukrainkę, która strąciła drona słoikiem. Na:Temat. https://natemat.pl/400859,znaleziono-ukrainke-ktora-stracila-drona-sloikiem-z-ogorkami [7] Zaluzhnyi, V. (2025, November 29). Politics and War. Reality vs Expectations. LIGA.Net. https://www.liga.net/en/politics/opinion/politics-and-war-reality-vs-expectations#comment-list-4601543 [8] Ukraine. (2025, December 9). World Bank Group. https://www.worldbank.org/ext/en/country/ukraine [9] Gorodnichenko, Y., & Vasudevan, V. (2025, July 27). The (projected) cost of Russian aggression. CEPR. https://cepr.org/voxeu/columns/projected-cost-russian-aggression [10] Samoiliuk, M. (2025, December 8). Ukraine War Economy Tracker. Centre For Economic Strategy. https://ces.org.ua/en/tracker-economy-during-the-war/ [11] Rogoff, K. (2025, December 9). The Long-lasting Economic Shock of War. International Monetary Fund. https://www.imf.org/en/publications/fandd/issues/2022/03/the-long-lasting-economic-shock-of-war [12] Gorodnichenko, Y., & Vasudevan, V. (2025, July 27). The (projected) cost of Russian aggression. CEPR. https://cepr.org/voxeu/columns/projected-cost-russian-aggression [13] Davis Jr., E., & Wolf, C. (2025, March 11). The Long-lasting Economic Shock of War. U.S.News. https://www.usnews.com/news/best-countries/articles/these-countries-have-committed-the-most-aid-to-ukraine [14] U.S. Security Cooperation with Ukraine. (2025, March 12). U.S. Department of State. https://www.state.gov/bureau-of-political-military-affairs/releases/2025/01/u-s-security-cooperation-with-ukraine [15] EU Assistance to Ukraine (in U.S. Dollars). (2025, November 19). Delegation of the European Union to the United States of America. https://www.eeas.europa.eu/delegations/united-states-america/eu-assistance-ukraine-us-dollars_en?s=253 [16] Mills, C. (2025, July 17). Military assistance to Ukraine (February 2022 to January 2025). UK Parliament. https://commonslibrary.parliament.uk/research-briefings/cbp-9477/ [17] The cost of EU Member States’ proximity to the war. (2025, November 17). European Commission. https://economy-finance.ec.europa.eu/cost-eu-member-states-proximity-war_en [18] Jenkins, B. M. (2023, March 7). Consequences of the War in Ukraine: The Economic Fallout. European Commission. https://www.rand.org/pubs/commentary/2023/03/consequences-of-the-war-in-ukraine-the-economic-fallout.html [19] The cost of EU Member States’ proximity to the war. (2025, November 17). European Commission. https://economy-finance.ec.europa.eu/cost-eu-member-states-proximity-war_en [20] Rogoff, K. (2025, December 9). The Long-lasting Economic Shock of War. International Monetary Fund. https://www.imf.org/en/publications/fandd/issues/2022/03/the-long-lasting-economic-shock-of-war

Defense & Security
Soldier in engineering role uses AI application on laptop to manage server hub systems. Army commander reviews secret intelligence information using artificial intelligence in data center, camera A

Dual-Use AI Technologies in Defense: Strategic Implications and Security Risks

by Mayukh Dey

Introduction Artificial intelligence has become a critical technology in the 21st century, with applications spanning healthcare, commerce, and scientific research. However, the same algorithms that enable medical diagnostics can guide autonomous weapons, and the same machine learning systems that power recommendation engines can identify military targets. This dual-use nature, where technologies developed for civilian purposes can be repurposed for military applications, has positioned AI as a central element in evolving global security dynamics. The strategic implications are substantial. China views AI as essential for military modernization, with the People's Liberation Army planning to deploy "algorithmic warfare" and "network-centric warfare" capabilities by 2030 (Department of Defense, 2024). Concurrently, military conflicts in Ukraine and Gaza have demonstrated the operational deployment of AI-driven targeting systems. As nations allocate significant resources to military AI development, a critical question emerges: whether the security benefits of dual-use AI technologies can be realized without generating severe humanitarian consequences. The Reversal Commercial Innovation Driving Military Modernization Historically, military research and development drove technological innovation, with civilian applications emerging as secondary benefits, a phenomenon termed "spin-off." The internet, GPS, and microwave ovens all originated in defense laboratories. This dynamic has reversed. Commercially developed technologies now increasingly "spin into" the defense sector, with militaries dependent on technologies initially developed for commercial markets. This reversal carries significant implications for global security. Unlike the Cold War era, when the United States and Soviet Union controlled nuclear weapons development through state programs, AI innovation occurs primarily in private sector companies, technology firms, and university research institutions. Organizations like DARPA influence global emerging technology development, with their projects often establishing benchmarks for research and development efforts worldwide (Defense Advanced Research Projects Agency, 2024). This diffusion of technological capacity complicates traditional arms control frameworks based on state-controlled military production. The scale of investment is considerable. The U.S. Department of Defense's unclassified AI investments increased from approximately $600 million in 2016 to about $1.8 billion in 2024, with more than 685 active AI projects underway (Defense One, 2024). China's spending may exceed this figure, though exact data remains unavailable due to the opacity of Chinese defense budgeting. Europe is pursuing comparable investments, with the EU committing €1.5 billion to defense-related research and development through initiatives like the European Defence Fund. Dual-Use Applications in Contemporary Warfare AI's military applications span the spectrum of warfare, from strategic planning to tactical execution. Current deployments include: Intelligence, Surveillance, and Reconnaissance (ISR): AI systems process large volumes of sensor data, satellite imagery, and signals intelligence to identify patterns beyond human analytical capacity. In 2024, "China's commercial and academic AI sectors made progress on large language models (LLMs) and LLM-based reasoning models, which has narrowed the performance gap between China's models and the U.S. models currently leading the field," enabling more sophisticated intelligence analysis (Department of Defense, 2024). Autonomous Weapons Systems: Autonomous weapons can identify, track, and engage targets with minimal human oversight. In the Russia-Ukraine war, drones now account for approximately 70-80% of battlefield casualties (Center for Strategic and International Studies, 2025). Ukrainian officials predicted that AI-operated first person view drones could achieve hit rates of around 80%, compared to 30-50% for manually piloted systems (Reuters, 2024). Predictive Maintenance and Logistics: The U.S. Air Force employs AI in its Condition-Based Maintenance Plus program for F-35 fighters, analyzing sensor data to predict system failures before occurrence, reducing downtime and operational costs. Command and Control: AI assists military commanders in processing battlefield information and evaluating options at speeds exceeding human capacity. Project Convergence integrates AI, advanced networking, sensors, and automation across all warfare domains (land, air, sea, cyber, and space) to enable synchronized, real-time decision-making. Cyber Operations: AI powers both offensive and defensive cyber capabilities, from automated vulnerability discovery to malware detection and sophisticated social engineering campaigns. Gaza and Ukraine: AI in Contemporary Conflict Recent conflicts have provided operational demonstrations of AI's military applications and associated humanitarian costs. Israel's Lavender system reportedly identified up to 37,000 potential Hamas-linked targets, with sources claiming error rates near 10 percent (972 Magazine, 2024). An Israeli intelligence officer stated that "the IDF bombed targets in homes without hesitation, as a first option. It's much easier to bomb a family's home" (972 Magazine, 2024). The system accelerated airstrikes but also contributed to civilian casualties, raising questions about algorithmic accountability. The system's design involved explicit tradeoffs: prioritizing speed and scale over accuracy. According to sources interviewed by 972 Magazine, the army authorized the killing of up to 15 or 20 civilians for every junior Hamas operative that Lavender marked, while in some cases more than 100 civilians were authorized to be killed to assassinate a single senior commander (972 Magazine, 2024). Foundation models trained on commercial data lack the reasoning capacity humans possess, yet when applied to military targeting, false positives result in civilian deaths. Data sourced from WhatsApp metadata, Google Photos, and other commercial platforms created targeting profiles based on patterns that may not correspond to combatant status. Ukraine has implemented different approaches, using AI to coordinate drone swarms and enhance defensive capabilities against a numerically superior adversary. Ukrainian Deputy Defense Minister Kateryna Chernohorenko stated that "there are currently several dozen solutions on the market from Ukrainian manufacturers" for AI-augmented drone systems being delivered to armed forces (Reuters, 2024). Ukraine produced approximately 2 million drones in 2024, with AI-enabled systems achieving engagement success rates of 70 to 80 percent compared to 10 to 20 percent for manually controlled drones (Center for Strategic and International Studies, 2025). Both sides in the conflict have developed AI-powered targeting systems, creating operational arms race dynamics with immediate battlefield consequences. Civilian Harm: Technical and Legal Limitarions The integration of AI into lethal military systems raises humanitarian concerns extending beyond technical reliability. AI's inability to uphold the principle of distinction, which requires protecting civilians by distinguishing them from combatants in compliance with international humanitarian law, presents fundamental challenges. Current AI systems lack several capabilities essential for legal warfare:  Contextual Understanding: AI cannot comprehend the complex social, cultural, and situational factors that determine combatant status. A person carrying a weapon might be a combatant, a civilian defending their home, or a shepherd protecting livestock.  Proportionality Assessments: International humanitarian law requires that military attacks not cause disproportionate civilian damage. Human Rights Watch noted that it is doubtful whether robotic systems can make such nuanced assessments (Human Rights Watch, 2024).  Moral Judgment: Machines lack the capacity for compassion, mercy, or understanding of human dignity, qualities that have historically provided safeguards against wartime atrocities.  Accountability: With autonomous weapon systems, responsibility is distributed among programmers, manufacturers, and operators, making individual accountability difficult to establish. As one expert observed, "when AI, machine learning and human reasoning form a tight ecosystem, the capacity for human control is limited. Humans have a tendency to trust whatever computers say, especially when they move too fast for us to follow" (The Conversation, 2024). The risks extend to specific populations. Autonomous weapons systems trained on data predominantly consisting of male combatants in historical records could create algorithmic bias. In the case of Lavender, analysis suggests "one of the key equations was 'male equals militant,'" echoing the Obama administration's approach during drone warfare operations (The Conversation, 2024). Communities of color and Muslim populations face heightened risks given historical patterns of discriminatory force deployment. Export Controls and Technology Transfer Challenges Recognizing AI's strategic importance, governments have implemented export control regimes. The U.S. Bureau of Industry and Security now requires licenses for exports of advanced computing chips and AI model weights, imposing security conditions to safeguard storage of the most advanced models. These controls face inherent tensions. Overly broad restrictions risk hampering legitimate research and commercial innovation. Analysis suggests that if AI technology is too extensively controlled, American universities may face difficulties performing AI research, resulting in a less robust U.S. AI ecosystem. Insufficient controls enable adversaries to acquire cutting-edge capabilities. The effectiveness of export controls remains uncertain. In 2024, hundreds of thousands of chips, totaling millions of dollars, were smuggled into China through shell companies, varying distributors, and mislabeling techniques (Oxford Analytica, 2025). China's DeepSeek models, which achieved performance approaching U.S. systems, were reportedly trained on chips that circumvented export restrictions. International Governance: Fragmentation and Competing Frameworks The international community has struggled to develop coherent governance frameworks for dual-use AI. Rather than a cohesive global regulatory approach, what has emerged is a collection of national policies, multilateral agreements, high-level summits, declarations, frameworks, and voluntary commitments. Multiple international forums have addressed AI governance: ● The UN Secretary-General created an AI Advisory Board and called for a legally binding treaty to prohibit lethal autonomous weapons systems without human control, to be concluded by 2026 ● The Group of Governmental Experts on Lethal Autonomous Weapons Systems has held discussions under the Convention on Certain Conventional Weapons since 2013, with limited concrete progress ● NATO released a revised AI strategy in 2024, establishing standards for responsible use and accelerated adoption in military operations ● The EU's AI Act, adopted in 2023, explicitly excludes military applications and national security from its scope This fragmented landscape reflects geopolitical divisions. The perceived centrality of AI for competition has led the U.S. to position itself as leader of ideologically aligned countries in opposition to China, including for security purposes. China promotes its own governance vision through initiatives like the Belt and Road, exporting technology standards alongside infrastructure. Strategic Stability Implications AI creates strategic stability challenges. Autonomous weapons enable substitution of machines for human soldiers in many battlefield roles, reducing the human cost and thus political cost of waging offensive war. This could increase the frequency of conflicts between peer adversaries, each believing they can prevail without significant domestic casualties. For conflicts between non-peer adversaries, reduced casualties further diminish domestic opposition to wars of aggression. The implications extend beyond conventional warfare. Armed, fully-autonomous drone swarms could combine mass harm with lack of human control, potentially becoming weapons of mass destruction comparable to low-scale nuclear devices. The technical barriers to such systems are declining as components become commercially available. AI also complicates nuclear stability. Advances in AI-enhanced sensors and data processing could undermine second-strike capabilities by improving detection of mobile missile launchers and submarines. This erosion of assured retaliation could incentivize first strikes during crises. Simultaneously, AI systems managing nuclear command and control create risks of accidents, miscalculations, or unauthorized launches. Ethical Framework Limitations The integration of AI into warfare strains traditional ethical frameworks. Just War Theory requires that combatants maintain moral responsibility for their actions, possess the capacity to distinguish combatants from civilians, and apply proportionate force. Automation bias and technological mediation weaken moral agency among operators of AI-enabled targeting systems, diminishing their capacity for ethical decision-making. When operators interact with targeting through screens displaying algorithmic recommendations rather than direct observation, psychological distance increases. This mediation risks transforming killing into a bureaucratic process. The operator becomes less a moral agent making decisions and more a technician approving or rejecting algorithmic suggestions. Furthermore, industry dynamics, particularly venture capital funding, shape discourses surrounding military AI, influencing perceptions of responsible AI use in warfare. When commercial incentives align with military applications, the boundaries between responsible innovation and reckless proliferation become unclear. Companies developing AI for civilian markets face pressure to expand into defense contracting, often with insufficient ethical deliberation. Conclusion Dual-use AI technologies present both opportunities and risks for international security. One trajectory leads toward normalized algorithmic warfare at scale, arms races in autonomous weapons that erode strategic stability, and inadequate international governance resulting in civilian harm. An alternative trajectory involves international cooperation that constrains the most dangerous applications while permitting beneficial uses. The timeframe for establishing governance frameworks is limited. AI capabilities are advancing rapidly, and widespread proliferation of autonomous weapons will make policy reversal substantially more difficult. The challenge resembles nuclear non-proliferation but unfolds at greater speed, driven by commercial incentives rather than state-controlled programs. Because AI is a dual-use technology, technical advances can provide economic and security benefits. This reality means unilateral restraint by democratic nations would cede advantages to authoritarian competitors. However, uncontrolled competition risks adverse outcomes for all parties. Concrete action is required from multiple actors. States must strengthen multilateral agreements through forums like the UN Convention on Certain Conventional Weapons to establish binding restrictions on autonomous weapons without meaningful human control. NATO and regional security alliances should harmonize AI ethics standards and create verification mechanisms for military AI deployments. Military institutions must implement mandatory human-in-the-loop requirements for lethal autonomous systems and establish clear chains of accountability for AI-driven targeting decisions. Technology companies developing dual-use AI systems bear responsibility for implementing ethical safeguards and conducting thorough threat modeling before commercial release. Industry alliances should establish transparency standards for military AI applications and create independent audit mechanisms. Universities and research institutions must integrate AI ethics and international humanitarian law into technical training programs. Export control regimes require coordination between the United States, EU, and allied nations to prevent regulatory arbitrage while avoiding overreach that stifles legitimate research. Democratic governments should lead by demonstrating that military AI can be developed within strict ethical and legal constraints, setting standards that distinguish legitimate security applications from destabilizing weapons proliferation. As Austrian Foreign Minister Alexander Schallenberg observed, this represents the Oppenheimer moment of the current generation, recognizing that dual-use AI, like nuclear weapons, represents a technology whose military applications demand collective restraint. The policy choices made in the next few years will have long-term consequences. They will determine whether AI becomes a tool for human advancement or an instrument of algorithmic warfare. The technology exists; the policy framework remains to be established. The actors are identified; the question is whether they possess the political will to act before proliferation becomes irreversible. References 972 Magazine (2024) 'Lavender': The AI machine directing Israel's bombing spree in Gaza. https://www.972mag.com/lavender-ai-israeli-army-gaza/ Center for Strategic and International Studies (2024) Where the Chips Fall: U.S. Export Controls Under the Biden Administration from 2022 to 2024. https://www.csis.org/analysis/where-chips-fall-us-export-controls-under-biden-administration-2022-2024 Center for Strategic and International Studies (2025) Ukraine's Future Vision and Current Capabilities for Waging AI-Enabled Autonomous Warfare. https://www.csis.org/analysis/ukraines-future-vision-and-current-capabilities-waging-ai-enabled-autonomous-warfare Defense One (2023) The Pentagon's 2024 Budget Proposal, In Short. https://www.defenseone.com/policy/2023/03/heres-everything-we-know-about-pentagons-2024-budget-proposal/383892/ Department of Defense (2024) Military and Security Developments Involving the People's Republic of China 2024. https://media.defense.gov/2024/Dec/18/2003615520/-1/-1/0/MILITARY-AND-SECURITY-DEVELOPMENTS-INVOLVING-THE-PEOPLES-REPUBLIC-OF-CHINA-2024.PDF Foreign Policy Research Institute (2024) Breaking the Circuit: US-China Semiconductor Controls. https://www.fpri.org/article/2024/09/breaking-the-circuit-us-china-semiconductor-controls/ Human Rights Watch (2024) A Hazard to Human Rights: Autonomous Weapons Systems and Digital Decision-Making. https://www.hrw.org/report/2025/04/28/a-hazard-to-human-rights/autonomous-weapons-systems-and-digital-decision-making National Defense Magazine (2024) Pentagon Sorting Out AI's Future in Warfare. https://www.nationaldefensemagazine.org/articles/2024/10/22/pentagon-sorting-out-ais-future-in-warfare Queen Mary University of London (2024) Gaza war: Israel using AI to identify human targets raising fears that innocents are being caught in the net. https://www.qmul.ac.uk/media/news/2024/hss/gaza-war-israel-using-ai-to-identify-human-targets-raising-fears-that-innocents-are-being-caught-in-the-net.html Reuters (2024) Ukraine rolls out dozens of AI systems to help its drones hit targets. https://euromaidanpress.com/2024/10/31/reuters-ukraine-rolls-out-dozens-of-ai-systems-to-help-its-drones-hit-targets/