Are We Building AI for Progress or Power? — ft. Daron Acemoglu | Prof G Markets

This week on Prof G Markets, Ed Elson and Scott Galloway are joined by Nobel Prize–winning economist and MIT Professor Daron Acemoglu to discuss the economic consequences of AI. He breaks down his research on why nations fail, shares his biggest concerns about America’s future, and offers advice for the next generation of scholars.

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Timestamps:
00:00 - Today’s number
00:17 - Today’s episode
04:26 - Interview with Daron Acemoglu
04:51 - What are your views on AI at this point and do you still have a negative six rating on AI?
06:56 - What is the destructive impact of AI that you’re so worried about?
08:50 - What would you say to people who would call you a luddite?
11:16 - Is all this talk about power constraints a way to paint a future where the demand is unlimited or are the constraints real?
12:57 - Do you think this could be one of those industries where the impact is huge but profits are spread thin?
15:21 - Can you walk us through times when tech didn’t deliver its promised benefits because of uneven access?
17:57 - What does AI regulation look like in your view such that it is a net benefit to society versus a negative six?
20:10 - Ad Break
21:13 - Do you think the U.S. is going to be able to maintain that type of lead in the AI ecosystem?
22:55 - Why do nations fail?
26:01 - What does a society that is not led by institutions actually look like and how does that lead to a less prosperous path?
27:51 - Is the difference between success and failure how well societies limit concentrated power?
29:54 - How do you assess Trump’s presidency so far and its economic impact?
32:12 - How does the economy today compare with what you expected, given your earlier concerns?
34:37 - What are your major concerns for America right now?
36:29 - Ad Break
36:47 - If you were to make a bet on an economy right, other than the U.S. or China, which one would you make a bet on?
39:31 - What are your thoughts on Character.AI and synthetic relationships?
41:31 - What application do you feel holds the most promise for AI?
42:47 - What does the future of academics actually look like?
44:29 - How do those costs materialize?
46:08 - Have you seen that there is lesser interest in pursuing a career in academia?
48:17 - Do you have any advice for young academics?
55:44 - Credits

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