Who gets to pull the plug on AI?

Possible

Reid Hoffman and Aria Finger examine the opaque financial structures behind AI infrastructure, where tech giants are shielding up to $300 billion in exposure through off-balance-sheet guarantees. They debate whether

Key takeaways

• Big tech companies like Alphabet have doubled their credit backstop exposure to $44 billion in six months while reporting minimal liabilities, raising transparency concerns.
• Hoffman argues that 'artificial intelligence' carries negative linguistic connotations and prefers terms like synthetic or super intelligence to reflect augmentation rather than replacement.

Main topics

• AI infrastructure financing and balance sheet transparency
• Nomenclature debate: artificial vs. synthetic intelligence

Notable quotes

"if you're hiding something, why are you hiding it?"

Conclusion

The episode underscores the urgent need for transparent financial reporting and precise,

Transcript preview

Speaker 2 (0:00) Reid, thank you so much for being here in New York to film this Reid Riffs. Great to be in person always when we're chatting. So let's dive right in. The Financial Times recently reported that big tech is using guarantees to keep roughly $300 billion of AI exposure off its balance sheet. And the basic arrangement is that separate companies take out loans to build data centers or buy chips and have separate agreements with tech companies to cover losses if things go wrong. And so this helps finance the build out, but it means that people from the outside can't really see the full risk that's happening. And when you look at Alphabet, they alone doubled their exposure under these credit backstops in six months from about $17 billion to $44 billion. while recording a liability of just $815 million. And so this might be a smart way to finance data centers, which you and I probably agree that we need to finance the AI revolution. Or this could be companies that are taking on much more risk than they should and obscuring it from the government, the American people, etc. What do you think about this way that we're financing? Speaker 1 (1:05) Well, so I think there's two different... issues here. So one issue is taking the risk, which I think they should do. I think it's worth it. I think intelligence at the scale and cost electricity applied to a whole wide variety of things is a good thing. And yes, there might be, look, it is not guaranteeing that every dollar will be efficiently spent or effectively spent because when does the revenue exactly come in? And at these numbers, you get worried that if it's, call it four years versus two years and that kind of thing, and there's some legitimate... kind of financial effects. Now there's the other thing, which is the lack of transparency, which is almost always a bad thing. Speaker 2 (1:41) Because Speaker 1 (1:41) it's kind of like, if you're hiding something, why are you hiding it? And so people should be, like, in a sense, like my recommendation would have been if you said, look, we need to do this kind of legal structure because we want to still be reporting our books. Because there's weird things about how expenses and other kinds of things come on the books. And people say, oh, you should be doing stock. charges, there's expenses, and there's all this stuff. You say, look, we want to report our books legitimately, legally, this way, and so we're going to do that. And so we'll do these deals, but we're going to tell people that we're doing these deals so that they're aware of them. I mean, it's just kind of always in the case of when you're hiding something and you're obscuring something, like, that's mostly a very bad thing. Why are you doing that? Speaker 2 (2:28) And so, I mean, we talked about this last week. AI has sort of broken containment from a news perspective. Now everyone's talking about it. Everyday people were talking about different things. And it's even reached the government and the president. I will just start with that. And so very important question, Reid, and I will not be doing any impersonations. Many people think that the words artificial intelligence are inaccurate and very ineloquent relative to AI or artificial intelligence, a far more elegant and accurate description of this new. phenomena would be superior intelligence, SI, or extreme intelligence, EI, or supreme intelligence, SI. This is a poll, and I would appreciate everyone voting. What do you think is the best name for this ever-growing revolution? Speaker 1 (3:12) Well, what I put in impromptu and super agency is amplification intelligence, right? Because I'm very focused on