Emil Michael: Iran, Anthropic and the Future of AI at the Pentagon

2026-03-13 · Source: The a16z Show · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Emerging Technologies & Innovation, Robotics & Autonomous Systems · Depth: Intermediate, extended

Summary

Emil Michael, Undersecretary of Defense for Research and Engineering, detailed his efforts to modernize the Pentagon's technology strategy, reducing 14 vague priorities to six, with applied AI becoming the top focus. This shift rapidly increased AI adoption, with 1.2 million of 3 million personnel using AI within 90 days, up from 80,000. Michael also revealed a critical vendor-lock crisis stemming from commercial AI contracts signed under the previous administration. These contracts, involving models from companies like Anthropic, contained restrictive terms that could disable software mid-operation, jeopardizing sensitive military actions in regions like Central Command (Iran) and Indo-Pacom (China). He emphasizes the need for democratic oversight of AI use in defense and a move towards "wartime speed" in procurement and innovation.

Key takeaway

For CTOs and procurement leaders evaluating AI integration in critical systems, this analysis highlights the severe risks of vendor lock-in and restrictive commercial terms. You must ensure contracts permit lawful, uninterrupted operation, especially for national security applications. Prioritize diversifying AI partners and adopting clear, firm fixed-price contracting models to accelerate deployment and maintain operational control, preventing external corporate values from dictating military command.

Key insights

Commercial AI contracts with restrictive terms pose critical national security risks, necessitating democratic oversight and vendor diversity.

Principles

• National security demands "wartime speed" innovation.
• Vendor lock-in for critical defense AI is unacceptable.
• Democratic oversight must govern military AI deployment.

Method

The Pentagon shifted from 14 vague tech priorities to six focused areas, prioritizing applied AI, and reforming contracting from cost-plus to firm fixed price with clear demand signals.

In practice

• Prioritize applied AI for efficiency and intelligence.
• Diversify AI vendors to avoid single-threaded reliance.
• Adopt firm fixed-price contracts for faster development.

Topics

• Applied AI
• Defense Innovation
• Vendor Lock-in
• National Security
• Government Contracting
• Military AI Ethics
• Supply Chain Resilience

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Editorial summary, takeaway, and curation by AIssential. Original article published by The a16z Show.