The AI Arms Race: How Artificial Intelligence Is Reshaping Global Military Spending in 2026

GLOBAL, July 12, 2026 — For the majority of the post-war epoch, martial potency was quantified in tanks, warheads, and battalions atlasinstitute.org . That arithmetic is undergoing a paradigm shift. World military expenditure ascended to a record $2.89 trillion in 2025, marking the eleventh consecutive year of expansion and a 2.9% real increase over 2024, propelling the global military burden to 2.5% of GDP, its most substantial share since 2009 atlasinstitute.org . Behind that prominent figure resides a quieter, more consequential transition: the escalating fraction of every defense budget allocated not to more armaments, but to faster, smarter ones atlasinstitute.org .

Artificial intelligence has ceased being a marginal endeavor for defense ministries and has metamorphosed into the architectural concept behind how the subsequent war will be strategized, contested, and subsidized atlasinstitute.org .

A New Calculus of Power

The United States remains the preeminent expenditor by a vast margin, yet its 2025 total actually diminished by 7.5% to $954 billion, predominantly because Washington sanctioned no fresh military aid for Ukraine that year atlasinstitute.org . That downturn is deceptive if interpreted as a retreat. The Pentagon’s fiscal 2026 budget petition earmarked the department’s inaugural standalone line for AI and autonomous systems, valued at $13.4 billion, encompassing aerial drones, ground robotics, maritime autonomy, and the software requisite to integrate them atlasinstitute.org .

Months subsequently, the rebranded Defense Autonomous Warfare Group, the heir to the stalled Replicator drone initiative, was granted a request for $54.6 billion, the bulk of it stationed in a pliable multi-year fund rather than the customary annual budget cycle atlasinstitute.org . An additional $29.5 billion has been solicited for fiscal 2027 to construct the data centers and “AI Arsenal” computing capacity needed to execute battle management and targeting software at scale atlasinstitute.org . The rationale is blunt: in Ukraine and again over Iran, a $70,000 drone has recurrently vanquished a multi-million dollar interceptor, and no military desires to persist losing that transaction atlasinstitute.org .

China's Military-Civil Fusion

China, the world’s second-largest spender at roughly $336 billion in 2025, is pursuing the identical objective through a divergent architecture atlasinstitute.org . Rather than erecting a concurrent state AI sector, Beijing’s military-civil fusion strategy channels commercial breakthroughs, in chips, drones, robotics, and large language models, directly into the People’s Liberation Army atlasinstitute.org . Research tracking PLA procurement discovered thousands of AI-related contracts awarded to a medley of state defense conglomerates and ordinary tech firms and universities between 2023 and 2024 atlasinstitute.org .

The dividend was on display in September 2025, when Chinese state media unveiled autonomous “robot wolves” and AI-assisted combat vehicles, technologies Washington has since flagged as evidence of how thoroughly civilian innovation is being assimilated into military planning atlasinstitute.org .

Europe, Asia and the Widening Front

Europe supplied the majority of 2025’s global increase, with spending up 14% to $864 billion as the war in Ukraine entered its fourth year atlasinstitute.org . Germany alone rose 24% to $114 billion, finally surpassing NATO’s 2% of GDP guideline for the first time since 1990, while the European Union has outlined plans to mobilize up to €800 billion by 2030 for rearmament, including drone and AI-enabled defense programs atlasinstitute.org . Asia and Oceania grew 8.1% to $681 billion, its most pointed rise since 2009, as Japan, India, Taiwan, and Australia respond as much to ambiguity about long-term American commitment as to direct threats from China atlasinstitute.org . What unites these vastly different regional pictures is a shared wager that battlefield advantage now originates from sensor fusion, autonomous targeting, and the capacity to out-compute an adversary, not simply from outspending them on steel atlasinstitute.org .

Strategic Risks of an Unregulated Race

This transition carries authentic dangers. Autonomous systems compress the time available for human judgment, and AI-enabled command networks create new targets for cyberattack precisely when crisis decision-making needs to be most reliable atlasinstitute.org . The United Nations has been attempting, with constrained success, to get ahead of this atlasinstitute.org . Secretary-General António Guterres has repeatedly called for a legally binding treaty on lethal autonomous weapons systems by the end of 2026, and forty-two states recently signed a joint statement declaring draft treaty language within the Convention on Certain Conventional Weapons ready for formal deliberation atlasinstitute.org .

But the process remains hostage to consensus rules that a handful of major military AI powers have utilized to impede it, and its governing group is not due to report to the CCW’s Seventh Review Conference until November 2026 atlasinstitute.org .

Policy Suggestions

Three elements would help bridge the gap between spending and governance atlasinstitute.org . First, states serious about a treaty should utilize the November 2026 review conference to move discussions out of the CCW’s consensus trap and into a forum, such as the UN General Assembly, where a blocking minority cannot indefinitely stall progress atlasinstitute.org . Second, defense budgets should treat resilience, secure data centers, hardened supply chains, and cyber defense of AI systems themselves as inseparable from offensive capability, rather than an afterthought funded once the headline weapons programs are paid for atlasinstitute.org . Third, middle powers should resist the temptation to mimic great-power arms races and instead invest in niche capabilities, transparency measures, and confidence-building channels that reduce the odds of an algorithm-driven miscalculation atlasinstitute.org .

The countries that get this right will not necessarily be the ones spending the most, but the ones spending the most prudently atlasinstitute.org .