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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.
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.
You'll Learn:
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.
By Paul Estes5
1616 ratings
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.
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.
You'll Learn:
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.

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