Episode 29: Why AI Adoption Fails: A Behavioral Framework for AI Implementation

High Signal: Data Science | Career | AI

Liz Costa of the Behavioral Insights Team returns to High Signal to deliver a critical behavioral science playbook for the AI era focused on human and business impact. We discuss why the potential of AI can only be fulfilled by understanding a single bottleneck: human behavior. The conversation reveals why leaders must intervene now to prevent temporary adoption patterns from calcifying into permanent organizational norms, the QWERTY Effect, and how to move organizations past simply automating drudgery to achieving deep integration.

We dig into why AI adoption is fundamentally a behavioral challenge, providing a diagnostic framework for leaders to identify stalled progress using the Motivation-Capability-Trust triad. Liz explains how to reframe AI deployment by leveraging Loss Aversion to bypass employee skepticism, and how to design workflows that improve human reasoning rather than replace it. The conversation provides clear guidance on intentional task offloading, the power of using AI to stress-test decisions, and why sanctioning employee experimentation is essential to discovering high-value use cases.

LINKS

• AI & Human Behaviour: Augment, Adopt, Align, Adapt
• Thinking Fast and Slow in AI
• How does LLM use affect decision-making?
• Defaults, Decisions, and Dynamic Systems: Behavioral Science Meets AI with Lis Costa (High Signal)
• The Behavioral Insights Team
• Lis Costa on LinkedIn
• High Signal podcast
• Watch the podcast episode on YouTube
• Delphina's Newsletter