Transcript
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I'm Alex Honnl, professional rock climber and founder of the HONL Foundation.
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I wanted to let you know about.
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A brand new season of the Planet Visionaries podcast in partnership with the Rolex Perpetual Planet Initiative. This is the podcast exploring bold ideas and big solutions from the people leading.
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The way in conservation.
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Join me in conversation with the likes of climate champion Mark Ruffalo, biologist and.
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Photographer Christina Mittermeier, and one of the.
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Most successful conservationists of our time, Chris Tompkins. Join us on Planet Visionaries wherever you get your podcasts. This episode is brought to you by indeed. Stop waiting around for the perfect candidate. Instead, use INDEED sponsored jobs to find the right people with the right skills fast. It's a simple way to make sure your listing is the first candidate. C According to INDEED data, sponsored jobs have four times more applicants than non sponsored jobs. So go build your dream team today with Indeed. Get a $75 sponsored job credit at Indeed.com podcast. Terms and conditions apply. Welcome to Intelligence Squared, where great minds meet. I'm producer Mia Sorrenti. Today's episode is part two of our recent panel event, can Britain Become an AI Superpower? Editor of Wired, Greg Williams and technology Business editor at the Times, Katie Prescott joined us live at Smith Square hall for this special installment of the Intelligence Squared Economic Outlook, produced in partnership with Guinness Global Investors. For those who don't know, Guinness Global Investors is an independent British fund manager that helps both individuals and institutions harness the future drivers of growth to achieve their investment goals. If you missed the first part of this discussion, we recommend jumping back an episode to get up to speed. Let's rejoin the conversation now live from Smith Square hall in Westminster.
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Can we go to number two and energy costs? It feels rather prosaic after all the discussion of global regulation. But it's critically important, isn't it? I mean and this is across business obviously, but for data for energy hungry data centers, do they work in a country like ours where energy is so expensive?
C (2:09)
Greg yeah, I mean look, I think this is all tied up to the kind of like the energy transition as well. So I think that the they've. What is it called? The AI Energy Council. And it's like it's D SIT and Department of Energy and Net Zero now have kind of like a combined sort of like working group where they're attempting to ensure that all data centers are located in places with abundant energy. I think the US does have an enormous advantage here because they are energy independent. What I would sort of like suggest though is that we do have Sources, I mean, okay, some of the growth that the US AI companies are suggesting is entirely dependent on building out vast amounts of energy infrastructure. You look at sort of like OpenAI for them to get to where they claim they, they will be 20 by 2030. In terms of like the revenue, revenue they need to generate, they would need to build like 250 nuclear reactors. It's such a huge challenge, such a huge ask. So I think that almost kind of like bleeds into the kind of the bubble question, which is those valuations. So the valuations, as far as I understand them at the moment, would 3 trillion to 5 trillion additional gains in productivity in terms of dollars. That is insane. That's like 20% of the US energy infrastructure right now. So the idea that this is sort of something that is, you know, easy to do or, you know, something that is just can be signed off on a note of understanding. This is hard stuff to do. Now, we have seen sort of some build outs. There's the Stargate project in Texas, I think is one of the ones that's actually been built out. MET is talking about building out this vast computer data center, sorry, a data center in Louisiana. But the actual kind of physical deployment of this stuff is really, really hard. And those skills are very, very different from the skills that it takes to actually build a model. So whether we see a bubble, sorry, whether there's a bit of froth or whether this is actually a bubble, I don't know. But I certainly think that energy and that bubble question are related.
