What if the biggest threat of artificial intelligence isn’t the technology itself—but who owns it?
In this wide-ranging conversation, economist Justin Wolfers (University of Michigan and University of New South Wales) joins Nick Standlea to unpack how AI is reshaping labor, wages, education, and even democracy. Wolfers explains why AI is a cognitive revolution that could mirror the Industrial Revolution’s impact on blue-collar workers—but this time, it’s coming for white-collar jobs.
They discuss:
Why AI might shrink white-collar wages the same way automation hit factory jobs
How ownership and competition determine whether AI liberates or impoverishes society
Why Nvidia, not OpenAI, might be the real power behind the revolution
How education and universities must reinvent themselves in an AI world
What students, teachers, and professionals can do now to stay ahead
Wolfers’ clarity, humor, and economic insight make this one of the clearest explanations of AI’s long-term impact on society and policy.
About the Guest:
Justin Wolfers is a Professor of Economics and Public Policy at the University of Michigan and a Visiting Professor at the University of New South Wales. His research spans labor markets, happiness, macroeconomics, and public policy. Named by the IMF as one of the top 25 economists under 45 shaping global thought, Wolfers is also a frequent contributor to The New York Times and a recurring guest on Scott Galloway’s Prof G Markets.
YouTube: @JustinWolfers
X: https://x.com/JustinWolfers
Web: www.nber.org/~jwolfers
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🕒 Timestamps (Chapters)
00:00 – Cold plunges and bad circadian rhythms
01:10 – Justin’s background and why economics needs better communication
03:30 – Why AI is the biggest economic shift of our lifetimes
06:00 – From brawn to brains: how AI changes the equation
09:00 – The white-collar revolution: why AI threatens cognitive work
11:30 – Will AI drive wage stagnation for white-collar jobs?
12:50 – VCRs, substitutes, and complements: lessons for AI
14:50 – The NickBot 2000 thought experiment — who owns the robot?
17:00 – Why AI’s real issue is ownership, not capability
19:30 – The DeepMind vs. Meta contrast: altruism vs. profit
21:30 – The monopoly danger: what happens if one company wins
24:00 – Why competition (not regulation) is saving us—for now
26:30 – Nvidia, monopolies, and who really controls AI
28:00 – Are AI stocks a bubble—or just early?
31:00 – Dot-com lessons and humility in predictions
33:30 – $700 trillion in potential AI value? An economist’s math
38:00 – The global AI race: U.S., China, and everyone else
41:00 – Government policy, laissez-faire, and missing debates
45:00 – Manipulation, bias, and invisible influence in LLMs
46:00 – Education’s blind spot: universities aren’t adapting fast enough
50:00 – AI literacy and how to actually use large language models
52:00 – Why “prompting” is the new literacy
55:00 – How ChatGPT changes testing, grading, and learning
58:00 – Reinventing the Oxford tutorial—powered by AI
01:00:30 – Liberal arts, critical thinking, and the skills that endure
01:02:00 – Teaching APIs and “vibe coding” for the next generation
01:05:00 – Coding as the new muscle: feeling cognitively powerful
01:06:30 – How to future-proof your career in the age of AI
01:09:00 – Daily AI experiment challenge
01:10:30 – Final thoughts: curiosity, courage, and lifelong learning
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