The Department of Defense has pushed artificial intelligence adoption among its workforce from 70,000 employees to 1.7 million in roughly six to eight months, according to Under Secretary Emil Michael. The surge follows a Trump administration effort to encourage AI use across the military bureaucracy, a shift that officials say is improving efficiency and intelligence gathering.
Michael spoke about the adoption figures at an AI forum hosted by Breitbart News this week. He said the growth is part of a broader push to integrate AI into defense operations, including efforts to locate ships, weapons, and troops.
From pilot program to widespread use
Before the administration's push, only 70,000 Defense Department employees used AI for official business. Michael credited the rapid expansion to a concerted effort from leadership to move beyond pilot programs.
"In the last six to eight months, we have gotten 1.7 million people using it," Michael said.
The department is still working out how to deploy AI for military applications. One of the most practical uses so far is asset tracking. "We are using it for very basic things. It helps you see where your own assets are," he said.
Intelligence and asset management goals
Beyond the numbers game, the Pentagon wants to figure out how to deploy AI to locate ships, weapons pcs and troops. Michael said AI makes the bureaucracy more efficient, and also it adds to intelligence gathering.
Now, the Department of Defense is learning where AI can - and where to deploy it most carefully.
Why this matters for managers
When a government agency grows AI adoption from 70,000 to 1.7 million users in less than a year, that's a full organization-scale change. For managers, the takeaway isn't about the technology alone, but what it does to daily workflows - from locating assets to reducing back-office overhead.
The military's pivot highlights a simple lesson: AI adoption succeeds when leadership sets expectations and measures usage, not when tools are distributed quietly. Managers in the private sector who've watched AI pilot projects stall may find the department's numbers relevant for planning AI rollout strategies.
For more context on how this fits into broader leadership decisions, see the AI for Executives & Strategy section. Or check out AI for Government for public-sector developments.
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