Today’s guest is Paul Kedrosky, a fellow at the MIT Institute for the Digital Economy, partner at SK Ventures and former sell-side analyst.
In today’s episode, Paul Kedrosky explains why AI sits at the intersection of every force behind the biggest bubbles. He walks through why tokens are the fastest-deflating commodity ever, why more than half the data center buildout runs on debt instead of cash flow, and why an IPO wave pressures the market’s biggest winners.
To close, Paul argues AI already drives most US GDP growth, and revisits how badly humans misjudge scale.
To see links or read the transcript of the episode, visit us at: https://ift.tt/QdEVOv0
(0:00) Introduction
(1:19) AI solving its own problems and historical economic crises
(3:14) The impact of AI on energy and emissions
(7:25) AI’s economic implications
(10:45) Financing and economic impact of data centers
(18:42) Deflationary effects of AI tokens and tech company debt
(22:26) Tech companies as utilities and the IPO surge
(28:01) High PE ratios and valuation risks
(34:04) AI model convergence and diminishing returns
(40:22) Global attitudes toward AI and technology adoption
Sponsor: Upwork is the world’s largest human and AI-powered freelance marketplace to hire top talent—trusted by businesses and professionals worldwide. https://www.upwork.com/
Listen and subscribe on the platform of your choice:
Apple: https://ift.tt/dJalAk6
Spotify: https://ift.tt/qecz89V
Follow Meb:
X: https://x.com/MebFaber
LinkedIn: https://ift.tt/4AZ05pL
Website: http://mebfaber.com/
To learn more about our products and follow us, subscribe to our mailing list: https://ift.tt/eGUOEDb
Follow The Idea Farm:
Subscribe (FREE!): http://www.theideafarm.com
X: https://ift.tt/j8Wf7HJ
LinkedIn: https://ift.tt/VXwolEd
TikTok: https://ift.tt/lLxR29I
Instagram: https://ift.tt/dBu1KhP
Editing and post-production work for this episode was provided by The Podcast Consultant (https://ift.tt/QznDjwp).
—