Why AI Won't Steal 50% of Jobs with Tom Davenport
About this episode
<p>Tom Davenport has been watching technology transformations for over 30 years, and he's not joining the AI hype wagon. As a distinguished professor at Babson College and author of 27+ books, Tom brings hard-earned wisdom to the AI conversation that's refreshingly realistic. While Silicon Valley promises instant transformation and a job apocalypse, Tom reveals why real AI success requires the unglamorous work of process redesign, patient leadership, and years of persistent effort.</p> <p>In this eye-opening conversation, Tom debunks the myth that AI will eliminate 50% of white-collar jobs while sharing practical insights on how organizations can actually capture value from AI. From his "super tech leader" framework to the critical mistake of not planning for entry-level hiring, Tom provides a clear and realistic vision of AI's true potential and timeline.</p> <p>You'll Learn:</p> <ul> <li>Why AI job replacement predictions have been consistently wrong for decades</li> <li>How to organize AI initiatives across departments</li> <li>How to use process mining and redesign to unlock real AI value in your organization</li> <li>Why citizen development and "vibe coding" are democratizing technology creation</li> <li>The critical role "boring," entry-level work plays in developing future expertise</li> <li>Which workflows every business should consider automating first</li> <li>Why persistence and patience matter more than speed in AI transformation</li> </ul> <p>Subscribe to Expert Intelligence so you don't miss any future conversations — these industry leaders separate signal from noise in this rapidly evolving technological landscape.</p>
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