Cameron Stanley, the Chief Digital and Artificial Intelligence Officer at the Department of Defense, has warned that America's closest allies—including NATO and Five Eyes partners—lack the resources, experience, and scale necessary to keep pace with the US military's rapid adoption of artificial intelligence. Speaking at the Billington Cybersecurity summit, Stanley emphasized that Washington is actively working to steer these partners away from the same mistakes the US made during its own implementation process.
Accelerating Decision Cycles
The focus of the current US strategy is speed. Stanley described a "revolutionary" shift in command and control, citing instances where commanders can now issue orders almost instantaneously via phone calls, bypassing traditional formal decision briefs and security clearance reviews. This acceleration is supported by the rollout of new tools, including Agent Network, a system designed to minimize the gap between intelligence gathering and executive decision-making.
This push for velocity follows a broader trend within the Pentagon to prioritize speed over alignment, as previously reported by AlexTech.ai. Secretary Pete Hegseth has further institutionalized this approach by requiring AI deployment speed to be reported as a monthly metric.
From Project Maven to Real-World Strikes
The practical application of these capabilities was evident in the 2026 air campaign against Iran. Stanley noted that the Maven Smart System, built by Palantir, enabled the US to strike more than 13,000 targets within the first 38 days of the operation. He described Maven as revolutionary for allowing commanders to identify targets and launch strikes within a single integrated platform.
However, this efficiency has come with significant controversy. More than 120 members of the US Congress have demanded answers regarding civilian casualties, specifically following a February 28 strike on an elementary school in Minab that Iranian officials claim killed at least 168 people, many of them children.
Scaling the Infrastructure
The internal adoption of AI is scaling rapidly. The GenAI.mil platform, which integrates models from Google, OpenAI, and xAI, has already reached 1.7 million users, surpassing the 1.5 million mark reported in previous months by AlexTech.ai. Stanley concluded that the Department's greatest liability is now its own legacy habits, arguing that adhering to "the way we've always done it" is the riskiest course of action for modern warfare.
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