Uploaded June 2026 | Updated September 2026, 1 week ago
Will AI be the end of work? When textile workers smashed machinery in 1811, they weren't being irrational - they were watching their world transform. Two centuries later, the same fear is back, this time with a new name: artificial intelligence.
In this video, we walk through what the historical record, the
data, and basic economic reasoning actually say about new technologies and jobs — including why humans aren't horses, why the "lump of labor" fallacy keeps fooling us, and what we can do to make the transition less painful.
Topics covered:
- The Luddite uprising and the long history of automation panic
- Why the human-as-horse analogy breaks down
- The lump of labor fallacy explained
- Hazlitt's lesson on prices, costs, and derived demand
- David Autor on why a falling labor share doesn't mean falling wages
- Bryan Caplan's "make-work bias" - why politics gets this wrong
- What the early evidence on AI productivity actually shows
- Why labor-market flexibility matters more than ever
Sources & further reading:
- Henry Hazlitt, Economics in One Lesson (FREE): fee.org/ebooks/economics-in-one-lesson/?utm_source=youtube&utm_medium=social&utm_campaign=fee-online
- Brian Albrecht, "You Are Not a Horse": substack.com/home/post/p-196458695?utm_source=youtube&utm_medium=social&utm_campaign=fee-online
- David Autor, "Why Are There Still So Many Jobs?": aeaweb.org/articles?id=10.1257/jep.29.3.3?utm_source=youtube&utm_medium=social&utm_campaign=fee-online
Chapters:
00:00 The Legend of Ned Ludd and the Luddites
00:55 The Recurring Fear of Technology
01:13 AI: The New Machine in the Loop
02:07 Why Humans Aren't Horses: The Obsolescence Myth
03:11 The Lump of Labor Fallacy Explained
04:07 Economics in One Lesson: The "Curse" of Machinery
05:00 Who Wins and Who Loses? The Honest Answer
06:06 Policy and Labor Market Flexibility
06:47 Observed vs. Theoretical AI Capability
07:52 The Make-Work Bias
08:35 Managing the Transition
09:35 Conclusion: Will AI Make Humans Obsolete?
Please Subscribe: youtube.com/@FEEonline
Follow us everywhere:
FEE on Instagram: instagram.com/feeonline
FEE on Facebook: facebook.com/feeonline
FEE on X: https://x.com/feeonline
FEE on TikTok: tiktok.com/@feeonline
Credits:
Written by Sergio Martínez
Produced by Daphne Posadas
Edited by Luis Linares
Project Management by Abby Richardson
Thumbnail Design by Yorel Ktech
#economics #history #historylessons #ai #economy
Will AI be the end of work? When textile workers smashed machinery in 1811, they weren't being irrational - they were watching their world transform. Two centuries later, the same fear is back, this time with a new name: artificial intelligence.
In this video, we walk through what the historical record, the
data, and basic economic reasoning actually say about new technologies and jobs — including why humans aren't horses, why the "lump of labor" fallacy keeps fooling us, and what we can do to make the transition less painful.
Topics covered:
- The Luddite uprising and the long history of automation panic
- Why the human-as-horse analogy breaks down
- The lump of labor fallacy explained
- Hazlitt's lesson on prices, costs, and derived demand
- David Autor on why a falling labor share doesn't mean falling wages
- Bryan Caplan's "make-work bias" - why politics gets this wrong
- What the early evidence on AI productivity actually shows
- Why labor-market flexibility matters more than ever
Sources & further reading:
- Henry Hazlitt, Economics in One Lesson (FREE): fee.org/ebooks/economics-in-one-lesson/?utm_source=youtube&utm_medium=social&utm_campaign=fee-online
- Brian Albrecht, "You Are Not a Horse": substack.com/home/post/p-196458695?utm_source=youtube&utm_medium=social&utm_campaign=fee-online
- David Autor, "Why Are There Still So Many Jobs?": aeaweb.org/articles?id=10.1257/jep.29.3.3?utm_source=youtube&utm_medium=social&utm_campaign=fee-online
Chapters:
00:00 The Legend of Ned Ludd and the Luddites
00:55 The Recurring Fear of Technology
01:13 AI: The New Machine in the Loop
02:07 Why Humans Aren't Horses: The Obsolescence Myth
03:11 The Lump of Labor Fallacy Explained
04:07 Economics in One Lesson: The "Curse" of Machinery
05:00 Who Wins and Who Loses? The Honest Answer
06:06 Policy and Labor Market Flexibility
06:47 Observed vs. Theoretical AI Capability
07:52 The Make-Work Bias
08:35 Managing the Transition
09:35 Conclusion: Will AI Make Humans Obsolete?
Please Subscribe: youtube.com/@FEEonline
Follow us everywhere:
FEE on Instagram: instagram.com/feeonline
FEE on Facebook: facebook.com/feeonline
FEE on X: https://x.com/feeonline
FEE on TikTok: tiktok.com/@feeonline
Credits:
Written by Sergio Martínez
Produced by Daphne Posadas
Edited by Luis Linares
Project Management by Abby Richardson
Thumbnail Design by Yorel Ktech
#economics #history #historylessons #ai #economy
