TL;DR
GenAI.mil now has 1.5 million daily users, up from 80,000 at launch, after the Pentagon deployed Google Gemini and clarified AI usage rules.
GenAI.mil launched in December 2025 with low adoption, but after the Pentagon added Google's Gemini and issued clearer directives, nearly half the Department of Defense's 3.5 million workforce now uses AI daily for tasks from job descriptions to congressional reports
GenAI.mil now has 1.5 million daily users, up from 80,000 at launch, after the Pentagon deployed Google Gemini and clarified AI usage rules.
The Pentagon’s generative AI platform, GenAI.mil, now has 1.5 million daily users across the Department of Defense, according to the department’s chief technology officer. The figure represents nearly half of the DoD’s 3.5 million workforce. Six months ago, the platform had fewer than 100,000 users.
Emil Michael, the undersecretary of defense for research and engineering, disclosed the numbers at a Hudson Institute event last week. When GenAI.mil launched in December 2025, only 80,000 personnel were using it. Michael attributed the low initial adoption to confusion about where to find the tool, what it could be used for, and what the rules were.
“It wasn’t really clear where to go for it, what you could use it for, the rules were unclear, so we just blew through that,” Michael said.
The turning point was the deployment of Google’s Gemini on the Pentagon’s unclassified networks. After Gemini went live, daily usage surged. The Pentagon has since added OpenAI’s ChatGPT and xAI’s Grok to the platform, giving all 3.5 million DoD employees access to multiple commercial AI models through a single portal.
The tasks personnel are using AI for are mostly administrative. Michael described workers drafting job descriptions, summarising meeting notes, and building budgets. The more significant use case, he said, involves congressional reporting: work that previously required 200 hours of staffing time can now be completed in five hours by source documents into the AI and having it draft the report.
“More and more people are like, ‘Oh my God, I could write a job description,‘” Michael said. “I mean, very simple things to more exquisite things.”
The adoption rate is notable for its speed rather than its novelty. The Pentagon is describing the same productivity gains that corporate enterprises have reported since large language models became widely available. Michael acknowledged as much. “It’s just a matter of trying to catch up to, in this case, what’s basic in the commercial world,” he said.
The platform has moved beyond simple chatbot interactions. In April, the Pentagon disclosed that DoD personnel had created more than 100,000 semi-autonomous AI agents using Gemini’s Agent Designer tool in fewer than five weeks. These agents operate at Impact Level 5, the highest classification for unclassified sensitive data, and handle tasks including drafting after-action reports, analysing operational data, and reviewing images.
The scale of spending matches the scale of adoption. The fiscal 2027 defence budget requests $54.6 billion for the Defence Autonomous Warfare Group, a dramatic increase from the prior year’s AI and autonomy allocation of $13.4 billion. The Pentagon’s broader position is that AI should be embedded across every function, from back-office paperwork to battlefield decision-making.
That ambition has created friction. More than 580 Google employees, including senior DeepMind researchers, signed a letter in April urging CEO Sundar Pichai to refuse classified military AI work for the Pentagon, arguing that on air-gapped networks, Google cannot monitor how its AI is used. The letter came after Google had already deployed Gemini to the Pentagon’s unclassified workforce and was negotiating classified access under “all lawful uses” terms.
The Pentagon has since signed classified AI agreements with seven companies, including Google, Microsoft, Nvidia, and OpenAI, under terms that deliberately replace the safety restrictions Anthropic insisted on before being ejected from Pentagon supply lines. The message to AI companies is clear: the military defines the scope of use, not the vendor.
GenAI.mil’s unclassified adoption, however, is a different story. Writing job descriptions and drafting congressional reports are the kinds of tasks where AI’s limitations, hallucination, factual errors, confidently wrong summaries, carry relatively low risk. A misquoted statistic in a draft report can be caught by a human reviewer. The Pentagon has not disclosed error rates, accuracy metrics, or any internal assessment of the quality of GenAI.mil’s outputs.
Michael framed the growth as organic. The Pentagon published case studies showing how employees were using the platform and distributed them across the department. Exposure to consumer AI tools outside of work also helped, he said, because personnel arrived at GenAI.mil already familiar with how chatbots work.
Five out of six military branches have now designated GenAI.mil as their primary enterprise AI platform. The trajectory from 80,000 to 1.5 million users in six months is the fastest enterprise AI rollout in government history. Whether the quality of the output justifies the speed of the adoption is a question the Pentagon has not yet answered publicly.
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