you won't get debt if you don't have assets that can be repossessed, so having debt means these AI companies have assets: that's a strong thing, not a weak thing. interest rates are what they are, and they go up and down for reasons exogenous to your industry; debt regardless of interest is always "cheaper" than equity, and the shareholders expect to make their money from equity, paying interest on debt as a type of…
The AI trade now runs on borrowed money, and the lenders are repricing it
21–30 of 178 posts
Re: The AI trade now runs on borrowed money, and the lenders are repricing it
#22you won't get debt if you don't have assets that can be repossessed, so having debt means these AI companies have assets: that's a strong thing, not a weak thing. interest rates are what they are, and they go up and down for reasons exogenous to your industry; debt regardless of interest is always "cheaper" than equity, and the shareholders expect to make their money from equity, paying interest on debt as a type of…
I would imagine Anthropic et al. are largely leasing land/buildings, so as the other commenter said… must be the server racks that are acting as collateral (if anything). Generally enterprise hardware depreciates very harshly. I’m used to paying $10 for Intel Xeons that once retailed for over $5,000. I expect to pick up some NVIDIA Blackwell 6000s for $100 each someday.
Re: The AI trade now runs on borrowed money, and the lenders are repricing it
#23Re: The AI trade now runs on borrowed money, and the lenders are repricing it
#24Warren Buffet way Revolutionary technology + massive adoption ≠ good investment Investors have poured money into a bottomless pit, attracted by the growth and glamour of the industry. The airline industry since its birth has had a collective net loss, in aggregate, despite moving hundreds of millions of people. Commodity Product, no switching costs. Infinite competition
The number of competitors for SOTA drops by a few every year. The winners make more money, get more revenue, buy more compute, train better model with compute, buy best talent, and the cycle goes.
I think it's easier to fall behind and never catch back up than people think. One disastrous training run can leave a lab months to a year behind. For example, Meta's disastrous LLAMA 4 models. Meta is lucky to have their ads business as a funding source. However, Anthropic's revenue is growing so fast, that ability to use ads as a funding source to stay in the race may not last much longer for Meta.
To me, SOTA LLM training is very much like new chip fab nodes. One disastrous node can put you behind for many years or forever. The cost to build the next chip node doubles every every 4 years (Rock's law). The cost to train the next SOTA model likely has some similar power law which means over time, it's too costly for losers to keep up. The only reason TSMC isn't a defacto monopoly for advanced chip nodes is strictly due to geopolitics.
Re: The AI trade now runs on borrowed money, and the lenders are repricing it
#25Warren Buffet way Revolutionary technology + massive adoption ≠ good investment Investors have poured money into a bottomless pit, attracted by the growth and glamour of the industry. The airline industry since its birth has had a collective net loss, in aggregate, despite moving hundreds of millions of people. Commodity Product, no switching costs. Infinite competition
The industrialisation essentially socializes the cost across a lot more people though, so even though it doesn't make a profit it does mean people can have air travel without it costing millions per flight for the few people who can afford it. Essentially the economies of scale from having lots of flights isn't enough to make it profitable but they are enough to make it affordable.
There's no spare money to extract from the airline industry but it's still very useful. The same could be true for AI in the long term.
Sometimes the goal of an industry is to exist rather than to make a profit, because the benefit to society is more important than profit. People don't like that though so they do a bit of creative accounting or head-in-the-sand denial around it.
Re: The AI trade now runs on borrowed money, and the lenders are repricing it
#26Warren Buffet way Revolutionary technology + massive adoption ≠ good investment Investors have poured money into a bottomless pit, attracted by the growth and glamour of the industry. The airline industry since its birth has had a collective net loss, in aggregate, despite moving hundreds of millions of people. Commodity Product, no switching costs. Infinite competition
It isn't a commodity product in my opinion. Far from it. I think it will ultimately be a monopoly or duopoly for SOTA. The mid to low end is commodity, yes. But SOTA models are not commodities. The number of competitors for SOTA drops by a few every year. The winners make more money, get more revenue, buy more compute, train better model with compute, buy best talent, and the cycle goes. I think it's easier to fall b…
Re: The AI trade now runs on borrowed money, and the lenders are repricing it
#27…
Where the ladder breaks is at the bottom. CCC and Lower Option Adjusted Spread signal rose twenty-two points over thirty days to 88 and sits at Critical, markedly higher than the Investment Grade or High Yield spread signal levels, and AI paper does not price at CCC. Private Credit Stress sits at 96, up thirty-one points, consistent with reporting data center financing has moved toward private credit and off-balance-sheet structures where the ultimate holder is harder to identify. What separates an expansion from a contraction is not the level of spreads but whether new issuance keeps clearing. An expansion growing more expensive still places its paper; a contraction is when deals stop pricing at any spread. The market is still clearing. It is clearing at a price that has moved in one direction.“
Re: The AI trade now runs on borrowed money, and the lenders are repricing it
#28A while ago I was thinking, “Gee, AI is so complicated, how can I keep up with the landscape?” After reading these articles go by so often, it feels like what I actually can’t keep up with is the bond market. To paraphrase Trotsky, you may not be interested in the bond market, but the bond market is interested in you. I want to be able to read the signals at the bottom of this article, and divine some kind of predict…
Don’t forget there is a constant pressure for everyone to have an opinion on how this is going to end while hoping it ends tomorrow so they can be vindicated. The dotcom bust took a decade to grow and collapse. I think it is too early to make predictions with AI. I mean the sentiment here is either it will dry up the world and kill us all or transcend humanity, there’s no gray area. I don’t want to fall into the emot…
In what bubble does this pressure exist?
Re: The AI trade now runs on borrowed money, and the lenders are repricing it
#29Earlier quoted context omitted.
It isn't a commodity product in my opinion. Far from it. I think it will ultimately be a monopoly or duopoly for SOTA. The mid to low end is commodity, yes. But SOTA models are not commodities. The number of competitors for SOTA drops by a few every year. The winners make more money, get more revenue, buy more compute, train better model with compute, buy best talent, and the cycle goes. I think it's easier to fall b…
But who needs SOTA models, really? It was necessary 10 months ago, but now?
I can't prove it. It's just my opinion.
Re: The AI trade now runs on borrowed money, and the lenders are repricing it
#30I remember when Amazon was going to go broke every year for over a decade. Until they didn't.