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Emil Michael's disclosure at the American Dynamism 2026 Summit exposes hidden risks in AI vendor contracts, threatening U.S. Military readiness and security with unseen legal hurdles.
At the American Dynamism 2026 Summit, Emil Michael, the Undersecretary of Defense for Research and Engineering (essentially the CTO of the Department of War), shared a sobering revelation about the current state of AI vendor contracts within the U.S. military. His insights highlight significant risks and the urgent need for reform.
The recent review of AI contracts has uncovered numerous legal restrictions that could critically impact military operations. These constraints, often buried in fine print, have the potential to disrupt vital missions and compromise national security. Specifically, Michael highlighted several key issues:
The primary risks identified by Michael are:

Despite the challenges, there is an opportunity for significant improvement:
The issues came to a head following the Maduro raid in Venezuela. A senior executive from one of the primary AI vendors raised questions about whether their software was used during the operation. This incident underscored the need for transparency and accountability in how these technologies are deployed.
Michael emphasized that while the Department is committed to leveraging AI to enhance military capabilities, it must do so responsibly. The current situation necessitates a comprehensive review and overhaul of existing contracts to mitigate risks and ensure the safety and effectiveness of U.S. military operations.
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Marcus began tracking AI's market implications in 2016, noticing AI-related patent filings accelerating ahead of earnings upgrades before most of the sell-side had caught on. A former fixed-income quantitative analyst, he spent two decades building models that priced risk across emerging markets before pivoting to cover the economic impact of AI full-time. His writing translates opaque technical developments into clear risk/reward terms — and he's rarely diplomatic about the gap between AI valuations and underlying fundamentals. He believes most market participants still underestimate AI's long-run deflationary effect on knowledge work.
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5 March 2026
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