High Signal: Data Science | Career | AI Episode 29: Why AI Adoption Fails: A Behavioral Framework for AI Implementation
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Nov 28, 2025 Liz Costa, Chief of Innovation and Partnerships at the Behavioural Insights Team, shares insights on AI adoption through the lens of behavioral science. She discusses the crucial role of understanding human behavior in fully utilizing AI's potential. Costa introduces a triad of motivation, capability, and trust as barriers to adoption, while emphasizing the importance of reframing AI deployment to alleviate skepticism. She also highlights the need for organizational experimentation to uncover valuable use cases, ensuring deep integration rather than mere automation.
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Early Habits Create Long-Term Lock-In
- Early adoption habits shape long-run norms, like the QWERTY keyboard lock-in.
- Choices about design, privacy, and collaboration now will influence years of AI use.
Diagnose With Motivation, Capability, Trust
- Diagnose adoption problems by assessing motivation, capability, and trust across users.
- Target interventions to boost motivation, build skills, or increase trust depending on the bottleneck.
Loss Framing Beats Algorithmic Aversion
- People prefer AI when framed as avoiding loss rather than gaining benefit.
- Loss framing can overcome algorithmic aversion even when AI performs better.
