Why does capable AI fail to get adopted? Drawing on case studies from aviation autopilot, AI-assisted medical diagnosis, AlphaFold, and global enterprise deployments across 27 countries, this talk identifies the universal human barriers to AI adoption, and what builders, leaders, and teams can do about them.
- Understand the three forces preventing AI adoption: Control, Invisibility, and Algorithm Aversion
- Learn why trust, not capability, is the real bottleneck
- Get practical frameworks for building AI that people actually use