The Ledger, every show
Every statement that passed quotation and attribution checks, across all 44 shows. Pick shows below, then mix any filter with any other.
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every show 44 of 44
Kedrosky: AI infrastructure models based on labor TAM are ridiculous and speculative
“It's wrong to say, for better or worse, we're going to be putting in a trillion, therefore I need a hundred trillion out of this. That's not the way investors are looking at this, and it's, and it will lead you down the wrong path if you take that approach, be…”
Kedrosky: Token demand is unlikely to achieve 100M-fold growth in 6 years
“You have to see around a hundred million fold growth over the next six years in terms of tokens. Is it possible? Absolutely. It's possible. Is it likely? No, it's not likely, but it could happen.”
Kedrosky: Minimal model differentiation will crush AI investment returns
“The convergence means that the model differences while there are so minimal as I can't tell the difference in the kind of Pepsi Coke phenomenon, which again, to cut to the investment chase suggests that the competition then becomes much more about marketing ex…”
Kedrosky: Justifying AI spending with historical bubble theory drives dangerous overbuilding
“We've created this reflexivity. We're now, we justify overspending on the basis of prior overspending having worked out. Well, in prior episodes where that happened, people were not justifying the overspending by saying, say, in rural electrification, you know…”
Kedrosky: AI investors pitch AGI to LPs but evaluate it as real estate internally
“Investors that I've talked to are very cynical, so they're perfectly happy to use that in front of their own LPs, but they don't believe that in house. They look at this very cynically and with very cold calculating eyes and compare it to other similar real es…”
Kedrosky: Recent AI gains stem from orchestration harnesses, not model breakthroughs
“So much of the improvement we've seen in the last 18 months has really been about the imposition of harnesses, effective nannies, sitting on top of bratty kids, and not about the actual structural improvements in the models themselves, and that's a sort of a h…”
Kedrosky: OpenAI and Anthropic Will Earn Utility-Like Returns
“Like a power dam. I don't know who, I don't know where they are or who they are, but I guess they exist and they'll earn utility-like rates of return.”
Kedrosky: AI capex exceeds all historical Western buildouts except WWII rearmament
“As I said, we're now larger than everything except for World War II rearmament, which doesn't play as well in Germany as it does everywhere else. But nevertheless, so the point being that as a percentage of GDP, as a percentage of non-residential fixed investm…”
Kedrosky: Over 50% of data center funding is external financing as of Q2 2026
“As of the second quarter of twenty-twenty-six, this is now more than 50% of the funding for data centers is, is external financing, which is obviously the term of art for off balance sheet and out of your own cash flows”
Kedrosky: Financiers evaluate AI data centers like multi-tenant apartment buildings
“The way that I try to analogize this loosely, and this is very loose, is that data centers from the context of many capital providers are real estate. They're really just multi-tenant apartment buildings. It just so happens there's no humans in the apartment b…”
Kedrosky: AI Token Prices Fall 70-80% YoY on Constant Performance
“And these tokens are among the most rapidly depreciating assets we've ever seen in a modern economy, that they've continually been falling 70 to 80% year over year on a constant performance basis for at least the last four years.”
Kedrosky: AI models are converging and now primarily compete on price
“While models are still improving, they're improving at a much slower rate. And I often do this kind of Pepsi Coke test where I'll put a couple of different models in front of people using some kind of a harness like open code and ask them to tell the differenc…”
Kedrosky: Enterprises buy SaaS for liability and vendor accountability, not innovation
“There's a deep misunderstanding about why companies buy software. It's not because they think service now or Salesforce or whoever is somehow, you know, bold innovators that could not be replaced. No, it's because they have a problem. They don't want to build …”
Kedrosky: Insurance companies are among largest buyers of data center debt
“Increasingly some of the largest purchasers of data center related debt or insurance companies.”
Kedrosky: Sovereign funds filter investments by check size rather than economic value
“Once you're managing hundreds of billions of dollars, you start looking at opportunities, not in terms of their economic value, but in terms of check size. And you say, I need to write a check for fill in the blank, a hundred billion dollars, because I do not …”
Kedrosky: AI is the first U.S. bubble combining tech, real estate, credit, and policy
“The largest bubbles in US history usually had either to do with technology loose credit, government policy, right? Some combination of these things. The US in particular is very good at ones that also include real estate, so we can add that to the mix. So tech…”
Kedrosky: Investors will pressure AI labs to slash massive pre-training spend
“Once investors look under the hood and see more and more of this, they'll be questioning, why are we spending so much on pre-training? Why are you doing billion dollar training runs anymore? If most of the gains and models are coming from post training and RLH…”
Kedrosky: China Will Overbuild AI Data Centers Like Past Real Estate Booms
“I expect you'll see the same phenomenon, albeit with a little less social consequences once all of this turns out to be, it'll be much like what happened with their overbuilding in apartment buildings and residential and industrial space over the last decade.”
Kedrosky: Tech leads high-yield and non-financial investment-grade bond issuance
“Tech is now the largest piece of the high yield bond market. It's now the largest piece outside of financial services of the high of the, Investment grade, bond market, so in terms of new issuance”
Kedrosky: AI and hyperscalers make up 40-odd percent of S&P 500
“And so people are realizing that they're in it even by holding an S&P 500 index fund because of the concentration of hyperscaler and AI related names, which is something like 40 odd percent now.”
Kedrosky: AI Data Centers Require Major Hardware Overhauls Every 4-7 Years
“This is a project that would require wholesale replacement of most of the hardware and probably changes in the cooling system and probably changes in other aspects of these data centers continuously and probably, you know, depending on the math, anywhere from …”
Kedrosky: Some Data Center GPUs Fail on an 18-Month Cycle
“So we have some GPUs that are failing inside of modern data centers on an 18 month cycle, some that are failing on a much longer period.”
Kedrosky: GPU failure rates are much higher in training than inference
“The failure rates of GPUs used so intensively for training purposes are much higher than inference specific usage.”