Anthropic's IPO prospectus shows AI vision, surging costs
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Unofficial Hacker News client; not affiliated with Y Combinator.
Anthropic's IPO prospectus shows AI vision, surging costs
Unofficial Hacker News client; not affiliated with Y Combinator.
simonw · · focus · HN ↗
The numbers that Reuters describe in this article were entirely for 2025.
It's been well documented that Anthropic's revenue growth in 2026 has been enormous. This was the year of coding agents, and tokenmaxxing, and companies blowing enormous amounts of money on AI thanks to coding agent users spending hundreds (or thousands) of dollars a day.
Given that, I don't understand why the article and the headline are based exclusively on those 2025 numbers, with not so much as a hint to the reader that there are figures from the past 9 months that aren't covered by the documents Reuters saw.
Losing $8bn in 2025 isn't particularly notable if you've made ~10x that amount of revenue in 2026.
(How much did they lose in 2026? Wouldn't we love to know that!)
Is this just a thing with leaked IPO prospectuses and coverage of them?
TheqO · · focus · HN ↗
simonw · · focus · HN ↗
TheqO · · focus · HN ↗
What Uber and other companies said is that the money they spent didn't generate the expected value they were promised. If it had generated $2 for every $1 spent, then Uber would be spending with no limits.
The lack of demonstrable return on investment means there is a ceiling to the market size, and profit is capped as cheaper models and self hosted open source models limit the amount flagship models can charge.
Long way to go till market saturation though so they will grow for foreseeable, but its a quandary of how much they spend on R&D vs giving future shareholders dividends.
simonw · · focus · HN ↗
Shouldn't they have set that per-employee budget to zero instead?
(I dug up the original source for that Uber doubts the ROI story a few months ago, it's a lot weaker than the headlines about it suggested: <a href="https://simonwillison.net/2026/May/27/product-market-fit/#the-ai-failure-stories-around-this-are-pretty-thin" rel="nofollow">https://simonwillison.net/2026/May/27/product-market-fit/#th...)
TheqO · · focus · HN ↗
For the AI companies to IPO at the money they want, they have to promise that they are going to be worth many multiples more of that value.
But currently they are spending hundreds of billions and despite this their models are not light years ahead of each other, or of the companies with much lower budgets and compute power.
What they claim they can offer in future profits is subject to considerable debate.
It's in the interests of VC's and their underlying rich investors to hype it ip, IPO and bank the cold hard cash.
simonw · · focus · HN ↗