Artificial intelligence has emerged as a defining factor in Western security alliances, with a new report warning that the concentration of frontier AI capabilities in the hands of private corporations is creating unprecedented governance challenges for governments and collective defence structures. The analysis, published by the Politeia Research Foundation (PRF), draws on developments including last month's G7 summit in France, where the world's leading AI executives sat alongside heads of state for the first time as de facto strategic actors.

Tech CEOs at the G7 Table

OpenAI chief executive Sam Altman held bilateral meetings with G7 leaders and other invited heads of government at the summit, operating under an agenda and protocol traditionally reserved for state actors. Anthropic co-founder Dario Amodei and Google DeepMind chief executive Demis Hassabis were also central to discussions on the technological leadership of democratic nations, according to the PRF article authored by Emanuele Rossi.

The symbolism was significant: for the first time, private technology executives were treated as indispensable participants in shaping the security posture of the world's most powerful democracies.

The Core Governance Problem

'States retain political authority, regulatory power and control over military force, yet depend on technological capabilities they often neither develop nor own,' Rossi writes in the PRF analysis. 'For alliances, this dependence creates an additional problem: integrating technologies produced by private actors and subject to national jurisdictions into collective security structures.'

The AI industry operates across borders, yet control over the most advanced capabilities remains national and can be exercised unilaterally when governments judge their security interests to be at stake. For US allies, this raises a pointed question: how predictable is access to technologies on which an increasing share of collective security may depend?

The US-China AI Gap — and Its Uncertainty

The report highlights sharp disagreement over how far China trails the United States in frontier AI. The Center for AI Standards and Innovation (CAISI) has estimated that China's DeepSeek V4 Pro lags leading American frontier models by approximately eight months, based on its own benchmark suite. However, results published by DeepSeek itself, using different evaluation tests, place the model far closer to US systems released roughly two months earlier.

This divergence in assessments is itself a strategic problem: Western governments cannot calibrate responses to a technological gap they cannot reliably measure.

Cyber Risk and the Five Eyes Warning

The cybersecurity chiefs of the Five Eyes intelligence partnership — comprising the United States, United Kingdom, Canada, Australia, and New Zealand — have warned that the rapid development of frontier AI models could render existing cyber risk assessments obsolete 'in months, not years,' according to the report. Their primary concern is the expanding offensive capability now available to adversaries.

This is the first time the Five Eyes has framed frontier AI development as a direct threat to the validity of its own risk frameworks — a notable escalation in official language.

Beijing's Military AI Push

Beijing is accelerating the integration of AI into military capabilities spanning logistics, decision support, and autonomous weapons systems. The report argues that the fundamental challenge for the West is a timing problem: the window of technological advantage may close before governments and alliances can convert that advantage into operational capability. The time required for institutional integration, the analysis cautions, may exceed the duration of the lead itself.

As AI increasingly defines the contours of strategic competition, the question of who controls the technology — and on whose terms allies can access it — is set to become a central fault line in Western security architecture.