AI Adoption Journey for Population Scale: The UCAF Framework
AI progress is often measured by the number of pilots launched, but this episode argues the real unit of progress should be how many AI use cases are reliably in production and embedded into everyday systems. Shalini Kapoor distinguishes AI innovation (models, chips, and breakthroughs) from AI adoption, emphasizing that adoption is frequently harder because it demands institutional integration, behavior change, and clear accountability—especially when AI advice affects livelihoods, health outcomes, or legal decisions.
Tanvi Lall explains “pilot purgatory” as the frustrating middle state where…
The skinny
The skinny isn't ready yet — notes appear once the transcript is processed.