“They Don’t Have Our Scale”: Pentagon AI Chief Says Allies Can’t Keep Pace — and Offers to Coach Them Through It

The Pentagon’s most senior artificial intelligence official said publicly on Wednesday what allied defence ministries have been hearing privately for two years: they do not have the same resources as the United States, and they are unlikely to catch up anytime soon.

Cameron Stanley, chief digital and artificial intelligence officer (CDAO) at the Department of War, made the remarks at the 17th annual Billington CyberSecurity Summit in Washington, D.C., an event running September 8–10 under the theme “Reducing Risk in an Age of AI-Enabled Threats.”

“They don’t have the resources that we do, they don’t have the experience that we do, they don’t have the scale that we do,” Stanley said, referring to NATO members and the Five Eyes intelligence-sharing partners — the United Kingdom, Canada, Australia and New Zealand.

Coaching allies — or binding them?

Stanley added that Washington is “actively working with a number of our partners” so that “they don’t make the same mistakes that we make.” On the surface, that is a straightforward offer of mentorship: the Pentagon has spent nearly a decade stumbling through AI procurement, data governance and classified deployments, and it is offering allies a shortcut around those potholes.

But as The Next Web’s Ana-Maria Stanciuc noted, the offer points to a bigger structural issue. If allies learn to build military AI the American way, they are likely to end up dependent on the same systems, the same suppliers and the same technical choices. Mentorship and lock-in are not mutually exclusive — they frequently arrive in the same contract.

What “scale” actually means

The numbers behind Stanley’s confidence are stark. The Pentagon signed agreements with seven AI companies for classified systems earlier this year, on top of roughly $800 million already committed through contracts with OpenAI, Anthropic, Google and xAI. No European defence ministry has a budget of that magnitude dedicated to AI — and, more fundamentally, Europe has no domestic frontier AI companies comparable to the American firms the Pentagon can contract with directly.

Under Stanley, who took office in January, the Pentagon’s AI office has also been shipping at a pace allies cannot match. GenAI.mil, the department’s internal chatbot platform, has reached 1.7 million users. Agent Network, a newer system, is designed to compress the time between intelligence-gathering and a commander’s decision. Defense Secretary Pete Hegseth has directed Stanley’s office to report AI deployment speed as a monthly metric — a cadence that turns velocity itself into an institutional KPI.

Much of Stanley’s summit appearance focused on exactly that: speed. He described watching a commander halt a scheduled briefing to take a 30-second phone call and issue an order on the spot — no formal decision brief, no review of the room’s clearance levels. He called the moment “revolutionary.”

“I know it sounds simplistic,” Stanley explained. “It’s only simplistic because we’re good at it now.”

The Maven shadow

The word “revolutionary” has followed Stanley before. Project Maven, the Pentagon’s original AI targeting program launched in 2017, evolved into the Palantir-built Maven Smart System, which the US leaned on heavily during its 2026 air campaign against Iran. Speaking at a conference in May, Stanley said the system helped strike more than 13,000 targets over the campaign’s first 38 days.

That campaign is also the source of the sharpest scrutiny the Pentagon’s AI push has faced. More than 120 members of the US Congress signed a letter demanding answers from the Pentagon on civilian casualties and the use of artificial intelligence, following a February 28 strike on an elementary school in Minab that Iranian officials say killed at least 168 people, many of them children. Stanley’s summit remarks did not engage with that controversy directly — but for allies being coached toward American-style AI adoption, it is part of the ledger.

Europe’s counter-argument — and Ukraine’s

Stanley’s framing leaves out a real counter-current. European governments and defence companies have been arguing that technological sovereignty is important precisely because reliance on American systems could become a strategic weakness. Germany’s Helsing has raised €450 million to develop defence technology for NATO. Munich-based ARX is building land drones in the UK. European defence startups have repeatedly pressed governments to give domestic companies more support before defaulting to American procurement.

There is also an uncomfortable question about what “scale” means on an actual battlefield. Much of the US advantage derives from computing power and access to frontier models — both functions of money and procurement more than engineering talent. Ukraine has spent three years demonstrating a different model: cheap autonomous systems, iterated every few weeks, with a fraction of the resources available to any Five Eyes nation. Smaller budgets can even be an advantage — a less-invested government can switch suppliers and replace systems without being anchored to a decade-long programme.

Whether that approach can genuinely compete with America’s compute advantage remains unresolved. Stanley did not address it.

Why the timing matters

European governments are now opening their largest defence spending programmes since the Cold War, and AI will be embedded in those decisions. Every ministry faces the same choice: buy established American systems now, or invest in European alternatives that may take years to reach parity.

A senior US official declaring that allies lack the resources and scale to match America inevitably feeds that debate — and, intentionally or not, strengthens the case for buying American rather than waiting. Stanley’s comments are likely to be received rather differently in Brussels than in Washington. They may be accurate. They also make a clear argument for continued reliance on American AI capability.

Stanley closed with a warning aimed inward: “The way we’ve always done it is the most risky course of action.” The department, he said, must “think differently” if it wants AI tools into warfighters’ hands faster. For the allies listening, the harder question is whether thinking differently means adopting America’s playbook — or finally writing one of their own.