The AI fallacy is thinking the transformation is only in the tool.
AI is already transforming education and work; not just because of what it can do, but because of what people believe it can do. Students, workers, managers, universities, and companies are all changing their behavior around AI, sometimes rationally, sometimes badly, and often before they even fully understand it.
The AI paradox is that it is both a technology and a social event.
It is a technology because it is something we install, manage, govern, and use. But it is also a social event because it functions as a moment in history, one that is already altering how people learn, work, teach, hire, manage, and make decisions.
Treating AI only as technology leads to the fallacy: the mistaken belief that because a challenge is technical, the solution must also be purely technical.
My guest is Professor Gerald C. "Jerry" Kane.
Prof. Kane is the C. Herman and Mary Virginia Terry Chair in Business Administration and Professor of Management Information Systems at the University of Georgia's Terry College of Business, he has also served as a Visiting Scholar at Harvard Business School, a Guest Editor at MIT Sloan Management Review, and a Senior Editor at MIS Quarterly.
Jerry's research explores the role of digital technologies in business strategy, organizational culture, and talent development, with a particular focus on how people and organizations respond to digital disruption. He is also the author of two books on that topic: The Technology Fallacy and The Transformation Myth: Leading Your Organization Through Uncertain Times.
I had Jerry on the podcast before. This time, I wanted to talk to him because he sits in both worlds: he studies how companies adapt to digital transformation, and he is also a professor watching AI hit higher education in real time, not as a theory, but in his classroom, with his students, right now.
Treating AI as a software update rather than a cultural shift results in 'bolted-on' systems that people neither trust nor understand.
Some highlights from the episode.
02:13 Meet Professor Jerry Kane
07:12 How fast AI hit campus
13:22 The university policy divide
14:19 Workplace tools and incentives
17:36 Young minds and the outsourcing of thinking
20:20 Teach the basics first, then add AI
24:22 Degrees vs. lifelong upskilling
29:34 Curation as the new core skill
31:50 AI pushback from artists and creators
32:47 Ethical use over refusal
33:18 What's actually happening inside companies
34:13 Building a coalition of the willing
36:13 Shadow AI and the risks of unsanctioned use
38:25 Efficiency vs. transformation
40:44 Layoffs and AI washing
42:12 Middle managers and org structure
43:27 Adoption steps and safety
47:29 Minimal viable governance
55:35 Jobs anxiety vs. reality
58:30 Bullish long-term, uncertain short-term
1:00:49 Chatbots and attention traps
Enjoy!
For show notes and more, visit larryweeks.com/podcasts
