Three Phases of AI Adoption

Chase Hasbrouck, Chief of Forensics/Malware Analysis, U.S. Army Cyber Command, speaks at [un]prompted 2026 on: Three Phases of AI Adoption: From GPU Lottery to Enterprise Agreements. The Army's path to enterprise AI shows a pattern every organizatio...

Chase Hasbrouck, Chief of Forensics/Malware Analysis, U.S. Army Cyber Command, speaks at [un]prompted 2026 on: Three Phases of AI Adoption: From GPU Lottery to Enterprise Agreements.

The Army's path to enterprise AI shows a pattern every organization will face: deployment constraints shape adoption more than security policies. In 2023, fragmented research previews meant high innovation but no institutional knowledge. In 2024, centralized solutions with token budgets killed experimentation. Power users burned through monthly allocations in one or two queries, exactly the people you most want to encourage. In 2025, enterprise agreements removed cost barriers, but now we're grappling with cultural change: convincing people the tool is actually usable, then dealing with downstream implications when they believe us. As an early power user applying AI to incident response and forensics in Army Cyber, I helped my organization navigate each phase, and can share my lessons learned. (Disclaimer: Personal experience only, not official Army positions.).