AI Implementation in the Pentagon: Explosive Growth of 1775% in Six Months
The U.S. Department of Defense is demonstrating one of the most aggressive rates of artificial intelligence adoption among government agencies. Over the past six months, the number of department employees using commercial AI tools has increased from 80,000 to 1.5 million people. This represents an impressive 1,775% growth.
Given that the total personnel of the Pentagon is about 3.5 million people, nearly 43% of all employees are now actively using neural networks in their daily work. The department's Chief Technology Officer, Emil Michael, confirmed these figures at a Hudson Institute event, emphasizing that this is not about pilot projects but real operational use.
One of the most striking examples is the preparation of mandatory reports for Congress. Michael claims that AI can compile a draft of such a document in just five hours. For comparison, this work previously took 200 hours of effort from an entire team of employees. The time savings are colossal — a factor of 40.
An even more illustrative case occurred in April, when Deputy Assistant Secretary of Defense for Science and Technology Foundations, Jacob Glassman, tasked an understaffed team with using the GenAI.mil platform to prepare a report. The result exceeded expectations: a week later, the team presented a finished document, which they themselves called the best in the last five years.
The Pentagon is not stopping there. As part of a large-scale strategy for operational AI use, the department has formed partnerships with leading technology giants: SpaceX, OpenAI, Google, Nvidia, Reflection, Microsoft, Amazon Web Services, and Oracle. This speaks to the seriousness of the intentions and the long-term nature of the initiative.
It is worth noting that interest in artificial intelligence within U.S. government agencies is not new. The first experiments with the technology to solve logistical problems were conducted back in the 1960s. However, the real impetus for practical application came from the AI in Government Act, passed in 2020 during the first presidency of Donald Trump.
Nevertheless, the rapid expansion of neural network use also raises legitimate concerns. In March 2026, the U.S. Government Accountability Office warned that the widespread adoption of AI in the public sector could increase the risk of generating false information and unauthorized data access.
My expert analysis: The Pentagon is operating on the principle of "better to be first than right" — and this is justified in the context of the global AI arms race. However, such aggressive adoption without proper control over data quality and algorithms could lead to serious operational failures. Investments in the security and verification of AI systems must grow in proportion to the scale of their use; otherwise, we risk getting a "digital Trojan horse" inside critical infrastructure.