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The Psychology of AI Adoption: Why Recruiters Resist the Tools That Could Save Them

Dr. Gleb Tsipursky is a behavioral scientist, author of 8 books including the global bestseller Never Go With Your Gut, and a regular contributor to Harvard Business Review, Fortune and Forbes. His new book, The Psychology of AI Adoption at Work: From Resistance to Results (Georgetown University Press), draws on 27 years of consulting work and over 100 projects to explain why AI adoption stalls, and it’s rarely about the technology.

In this episode you’ll learn:

✅ Why Stanford research shows a widening employment gap for young people in AI-exposed industries, now 19% lower than in less-exposed ones

✅ Why AI-forward companies are growing revenue 9% faster and headcount 6% faster than their peers, while AI-laggards are the ones losing people

✅ What “meta-competence” is, and why it’s replacing hands-on task skills as the future differentiator

✅ The 3 psychological blockers behind AI resistance: fear of job loss, threat to professional identity, and shame around admitting you use it

✅ Why so-called “AI skeptics” are often masking one of those two fears rather than making a genuine technology critique

✅ What CEOs should look for when hiring for an AI-native workforce, including the ability to manage a team of AI agents

Ai-Adoption-at-Work-Dr.-Gleb-Tsipursky The Psychology of AI Adoption

The takeaway

Dr. Gleb’s research reframes a debate recruiters are already having internally. AI adoption isn’t failing because the tools are hard to use; it’s failing because people are afraid of what admitting competence with them will cost them, whether that’s their job, their sense of professional identity, or their standing with colleagues. The recruiters and companies pulling ahead aren’t the ones with the most advanced tools. They’re the ones who’ve named the resistance honestly and trained people to evaluate AI output rather than just produce work by hand.

This episode is for talent leaders, HR directors and business owners who are trying to figure out how to roll out AI internally without triggering the exact resistance patterns Dr. Gleb describes.

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