AI adoption in the workplace is failing at an alarming rate—95% of AI pilots never scale, according to an MIT study. The problem isn’t the technology; it’s the psychology behind how employees and leaders respond to AI. In this episode, behavioral scientist Dr. Gleb Tsipursky reveals why most companies get AI adoption wrong and how to fix it.

Dr. Tsipursky, author of The Psychology of AI Adoption at Work: From Resistance to Results, breaks down the three types of resistance holding back AI adoption:

AI Alarmists (fear of job loss)
Pragmatic Resistors (identity threats to professional roles)
Reluctant Adopters (shame and stigma around AI use)

You’ll learn why traditional change management strategies don’t work for AI and what leaders can do to overcome these barriers. From focusing on growth (not job cuts) to turning "shadow AI" users into AI champions, this episode provides the evidence-based playbook for scaling AI successfully.

Why the Topic Matters

AI isn’t just another tool—it’s a fundamental shift in how work gets done. Companies that fail to adopt AI effectively risk losing market share, productivity, and talent. Meanwhile, those that get it right grow revenue 9% faster and headcount 6.5% faster (Stanford research). This episode is a must-listen for executives, HR professionals, and anyone navigating the future of work.

Key Takeaways

The three psychological barriers to AI adoption and how to address them.
Why focusing on growth (not job cuts) reduces fear and resistance.
How to turn "shadow AI" users into AI champions.
The role of leadership modeling, gamification, and psychological safety in AI adoption.
Actionable strategies for mid-size companies (50–5,000 employees).

Who Should Listen

Executives and leaders responsible for AI adoption.
HR and change management professionals.
Consultants and advisors helping companies implement AI.
Employees navigating AI resistance in their organizations.
Anyone interested in the future of work and behavioral science.

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About Dietmar Fischer

Dietmar Fischer is a podcaster and AI marketer from Berlin. If you want help with AI strategy or digital marketing, visit:

https://argoberlin.com

Quotes from the Episode

💬 "There’s a study out from MIT showing that something like 95% of AI pilots don’t show the return on investment compared to the resources invested into the pilot."

💬 "People aren’t afraid of putting information from clients into Salesforce, but they’re afraid of using an AI tool that will replace their jobs."

💬 "The problem with AI isn’t laziness—it’s fear, identity threat, and shame."

Chapters

00:00 Opening: Introducing Dr. Gleb Tsipursky and the Psychology of AI Adoption

08:24 Why 95% of AI Pilots Fail: The MIT Study and the Scalability Crisis

16:58 The Three Types of AI Resistance (And Why They Matter)

24:30 Overcoming Fear: How Leaders Can Address AI Alarmists

32:10 Identity Threats: Why Employees Resist AI (And How to Fix It)

40:45 From Shadow AI to AI Champions: Leveraging Reluctant Adopters

48:20 The Leader’s Playbook: Modeling, Gamification, and Psychological Safety

56:10 Closing: Key Takeaways and Where to Find Dr. Tsipursky

Where to Find Dr. Gleb Tsipursky

🔗 Website: Disaster Avoidance Experts

🔗 LinkedIn: Dr. Gleb Tsipursky

🔗 Book: The Psychology of AI Adoption at Work: From Resistance to Results (Georgetown University Press)

📖 Free Sample: disasteravoidanceexperts.com/aibook

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The Three Employee Types Blocking Your AI Rollout - Dr. Gleb Tsipursky

A Beginner's Guide to AI

The Three Employee Types Blocking Your AI Rollout - Dr. Gleb Tsipursky