AI Uses Less Power Than You Think. The Real Problem Is Worse @TheProfGPod
AI Uses Less Power Than You Think. The Real Problem Is Worse  @TheProfGPod
Uploaded August 2026 | Updated September 2026, 2 weeks ago
Hannah Ritchie, deputy editor of Our World in Data, joins Scott Galloway to examine the new global energy race.

They discuss whether AI’s power demands are being overstated, how China built its clean-energy advantage, and why the United States risks falling behind on electrification. Plus, Hannah explains why the climate outlook is more hopeful (and more complicated) than the headlines suggest.

Check out Hannah’s Substack, By the Numbers: hannahritchie.substack.com


Timestamps
00:00 - In This Episode
01:56- What’s your read on the data center outrage?
03:56- How could AI benefit the energy transition?
05:23- How much will energy prices shape the global AI race?
07:51- What do you make of big tech financing and leveraging their own nuclear energy?
10:03- How are the economics of fossil fuels versus renewables shaping future CapEx?
13:12- Will the war in Iran have a lasting impact on energy supply chains?
15:12- Ad break
16:27- Which countries are leading energy policy and which are falling behind?
18:50- Do you think the economics of renewables will outweigh U.S. energy policy?
20:14- What explains the U.S. lag in EV adoption?
21:09- What do most people and the media get wrong about climate change?
25:46 What does it mean to be a technorealist?
26:52- What types of energy and new technologies deserve more attention?
28:34- Are ships a greater polluter than people give them credit for?
29:19- Ad break
31:36- Is China making better investments than the rest of the world?
35:15- What are your thoughts on the debate over air conditioning in Europe?
38:32- What’s your read on the UK and Scottish economies right now?
40:25- Beyond Brexit, what explains the UK’s economic stagnation?
42:42- How do you approach Substack?
45:40- What are your sources of inspiration?


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AI Uses Less Power Than You Think. The Real Problem Is Worse

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