cmiles8
Outsized stock based compensation when you’re posting massive GAAP losses just makes it look like you’re robbing shareholders… because in a real sense you are.
If they grow like no startup in history they just eek by and manage to barely pay their bills. Impressive, but not worth anything close to $1T plus valuation.
If they achieve AGI money becomes worthless.
So where’s the upside for investors here?
The real question is what could they have done with open weight models on the same compute they’re renting. If the answer is “basically the same” then this flips the entire conversion back to what is Anthropic’s moat here.
With the price of AI rapidly falling to the price of compute, with models therefore basically having zero value, and with Anthropic having rented all its compute from others then there’s little evidence that such high profits are in the future.
Again the issue is not is Anthropic an amazing growth story. Zero would debate that.
The issue is this is a probably $200-300B company pretending it’s a $2T company.
Add to that the insane amount of committed spend, a high interest rate environment which means they’ll pay a painful premium to patch cashflow gaps, and a likely “junk” bond rating (per Friday’s news) and that’s why folks are concerned.
It’s also just wrong to keep dismissing the paper losses from convertible notes as somehow not real losses. Once they are a public company this will be actual value taken away from existing public shareholders so they are legit losses not to be ignored. It’s like claiming equity based comp is free money… it’s not, you’re taking it out of the pockets of shareholders.
No pilot can fly a plane thats inside a truly violent thunderstorm. Flight control surfaces tend to snap off and in some cases the aircraft disintegrates in air. Some video suggests flight control surfaces broke off in flight here, which if accurate would explain the uncontrolled impact with the ground. The Lear Jet is a slick aircraft but one that has little margin for error.
1. GPUs are reportedly increasingly just getting put on shelves because there aren’t data centers to host them, which is creating a setup for a financial mess (rapidly depreciating assets purchased, paid for, but not utilized),
2. And massive chunk of the compute “demand” is coming from circular financing (ie AWS is “sold out” in large part because it gave startups like Anthropic money to buy the thing it’s now telling the market is “sold out” so there’s some shenanigans behind those headlines.)
I do agree though that compute is really the only place to make money in AI in the long run. Models are an increasingly a commodity with little value above the cost of compute to run them. However selling compute will be with razor thin margins, not the fat AWS margins the market got used to in cloud, so AWS and others will have to deal with that uncomfortable reality.
From a financial standpoint this is all looking like early 2008. The risk assessment bits of the market seem to have concluded this is all totally f*ked. But money keeps getting pumped into things that the market has decided will fail because the only thing that stops it from imploding is pumping more money in.
Like 2008 once key players get their armor on, expect things to suddenly unleash in a way that gets real ugly real quick. This is essentially what the article is saying. This all only hasn’t collapsed because money lenders haven’t pulled the plug yet. When that happens, and with every day this looks like a question of when not if, it will be a $hitstorm the likes of which we’ve not seen in a while.
Like most “scarcity” scenarios things flip from under supply to massive oversupply real quick. Remember during COVID when lumber got stupidly expensive and then almost overnight folks couldn’t give wood away.
Is that potential source of revenue? Maybe but folks are verbally very negative on AI ads.
Is that a viable business plan for Open AI? No.
Structurally they’re in a terrible position on what’s unfolding now with the completely collapse of model valuations. With truly “open” models gaining more and more momentum models are basically worth nothing and “token” prices are collapsing to the cost of compute. That doesn’t leave anything on the table for the Anthropic and Open AI’s of the world.
By any sane normal sense of business and financials these AI labs look terrible on paper.
Any loan would be speculative at best, and the rating would simply reflect that.
Investing in these companies is like going wild at the casino. Sure you might make a fortune but strong odds are you’re gonna lose your shirt.
It’s been sort of funny to watch the tech industry realize that the main thing being disrupted by AI is tech itself.
Maybe focus on the riots in the streets and sort that out vs wasting energy on nonsense like this. Just saying.
In many places if people charge their car and run the AC on a hot day the grid struggles. So the grid investment won’t go unused if AI implodes.
Also, it’s mostly not R&D either. It’s infrastructure buildout for a thing that doesn’t have a demonstrated business case that actually pays for all the infrastructure.
There remains a scary small amount of truly new money coming into this circular flow between VCs, chip makers, startups, datacenters and such. At some point there needs to be a $hit ton of new cash coming in from the outside to actually pay for all this and that’s not materializing.
Theres “big bets” and then there’s heavily leveraged bet the farm with leveraged debt. The first one hurts when it pops. The second one wipes people out.
This is going to be a “let it burn” scenario that will be absorbed by VCs and private credit markets.
Remember too though that even if a bailout does occur investors typically get wiped out. The companies live on but the investors and employee equity typically get reset to zero.
Folks are leaning it’s like these LED light bulbs that say they’ll last 15 years but after 2 years they start flaking out at a high rate.
Separately, the broader point is still directionally correct. We’re still using fiber from the .com network infra implosion today and will for a long time. The deprecation cycle is incredibly long. The increasing reports of GPUs sitting on shelves because there aren’t data center to power them is very concerning considering all the high interest debt being used to buy what is ultimately a rapidly depreciating asset. Financially, that’s a disaster waiting to happen.