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AI and the Future of Aerospace & Defense

AI and the Future of Aerospace & Defense

Insights

  • AI adoption in defense is not a technology problem: organizations that fail to address workforce psychological safety and AI literacy before deploying tools will not realize returns, regardless of the quality of the technology.
  • Studying how personnel actually use AI, which models they prefer, what questions they ask, and how long they engage, produces more actionable deployment intelligence than evaluating the models themselves in isolation.
  • Waiting for a complete, clean data foundation before building AI is a primary reason defense programs stall; the more effective approach is to curate data for the specific use case at hand and build a shared foundation incrementally from there.

Recorded at the Mission Ready AI event in Melbourne, Florida, this keynote features Venice Goodwine, CIO and AI Product Owner at Arlo Solutions and former CIO of the U.S. Air Force and Space Force. Goodwine draws on 36 years of experience and direct responsibility for AI deployment across 183 installations and 800,000 personnel to argue that the primary barrier to AI at scale is not technology but organizational readiness: workforce psychology, AI literacy, and leadership alignment have to come first. She describes how she built NIPRGPT to study human-machine teaming behavior across multiple LLMs, established the Air Force’s first AI Center of Excellence to drive use-case prioritization and cost accountability, and used both to move from experimentation to production. Goodwine also addresses industry directly, arguing that partners should lead with capabilities rather than tools, arrive with pre-built coalitions rather than solo pitches, and use acquisition pathways like Trade Winds and OTAs to match the pace the mission demands. Drawing on her current work at Arlo Solutions, where she has applied the same methodology to a commercial AI-enabled cybersecurity product, she closes with a clear message: the strategy exists, the funding exists, and the guidance is public. The only variable left is the decision to move.