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Comment by flowerthoughts

6 hours ago

My reason is their revenue chart is flattening.

https://techstartups.com/2026/10/15/anthropics-q3-revenue-hi...

The flattening part is not reported, but based on estimates from a company called TickerTrends. If they were correct it would imply a sudden and unusual departure from some incredibly impressive growth. Even more unusual given the release of their industry leading Opus/Sonnet/Haiku. Something to watch but I would not consider that authoritative, and would not invest based on that either.

  • The impressive growth is plausible, but it also rhymes with "bubble". There is obviously a value proposition in there, but I'm skeptical it's a trillion-dollar one. It's a machine for turning electricity and silicon into powerpoint and spotify slop

    • I partly agree. In support of your scepticism, I also think the frontier labs are overvalued. The expensive part which is not currently priced into the subscriptions is the training. Inference is usually profitable now - at least from what we can tell from industry reports.

      Where this bubble differs from the dot-com bubble is that valuations have very strong, organic user demand behind them. In 1999, prototype websites with few customers were getting IPOs worth hundreds of millions. This time, demand is insatiable. Frontier mdoels also has very low global penetration, relatively speaking, so the TAM permits exponentially more sales, in theory.

      However the risks are numerous for these labs. Foremost is that Chinese labs are able to easily distill frontier models. A tiny fraction of the cost of training, and they have a close approximation. Second, models are getting much more efficient per task. Companies are already discovering what "good enough" looks like, and it often ends up being much cheaper than what Anthropic and OpenAI are selling. This will only accelerate.

      My investment thesis is bullish on the entire AI stack except the frontier labs. I think power generation is going to see huge demand. Ditto for infrastructure and data centers. Ditto for the products and services created by these models.