{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"The AI Fallacy: Dr. Jerry Kane on Education, Work, and What We're Getting Wrong","description":"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. \u201cJerry\u201d 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\u2019s 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\u2019s 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 https:\/\/www.larryweeks.com\/podcasts\/ ","author_name":"Bounce! Conversations with Larry Weeks","author_url":"http:\/\/www.larryweeks.com\/podcasts\/","html":"