Why AI Won't Steal 50% of Jobs with Tom Davenport

Expert Intelligence with Paul Estes

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:

  • Why AI job replacement predictions have been consistently wrong for decades
  • How to organize AI initiatives across departments
  • How to use process mining and redesign to unlock real AI value in your organization
  • Why citizen development and "vibe coding" are democratizing technology creation
  • The critical role "boring," entry-level work plays in developing future expertise
  • Which workflows every business should consider automating first
  • Why persistence and patience matter more than speed in AI transformation

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.

More description

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:

  • Why AI job replacement predictions have been consistently wrong for decades
  • How to organize AI initiatives across departments
  • How to use process mining and redesign to unlock real AI value in your organization
  • Why citizen development and "vibe coding" are democratizing technology creation
  • The critical role "boring," entry-level work plays in developing future expertise
  • Which workflows every business should consider automating first
  • Why persistence and patience matter more than speed in AI transformation

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.

2025-09-02 31 min
Listen elsewhere

Available Results

Generated results are saved to your library for reuse and search.

No generated results are available for this episode yet.

Transcript

No transcript is available for this episode yet.
Sign in to generate a transcript for review.
Sign in

Chapters

No chapters available.