It really is the doordash/uber playbook all over again eh? Sell at a massive loss, gain userbase, then gradually boil the frog by adding fees, removing features, and increasing prices. Except instead of doing this a few years down the line, they're speedrunning the tighten-the-noose phase.

Unfortunately the competition is nipping at their heels so there's a good chance this blows up in their faces.

I still think/hope/pray the future will be on-device models that don't need constant retraining. That will blow up the existing business model but I think a company could still make good money with a "majority local/remote for the really challenging stuff" model.

The problem is that today's AI companies have taken on so much funding that a reasonable, not crazy profit ratio isn't enough for them.

It was very clear from the beginning purely from how much it costs to train and run the inference.

Someone has to pay the 7 trillion (the current projections for the AI datacenter build up)

I think people are being too generous with these comparisons. Not defending Anthropic but at the same time they are releasing new features and adjusting cost at pretty record speed for a new industry. Uber/doordash were subsidizing cost for what felt like a decade. Anthropic and related companies are adjusting price within months.

To me the bigger takeaway is that these business are seeing massive volume in use and figuring out how to price the products accordingly.

There is competition. And there is no moat nor network effect. I don't think it'll blow up in their faces if they provide a product and service that people value which demonstratively they have. But it may not be so lucrative to them or their shareholders.

As far as I can tell, it seemed very clear that was the playbook for about a year now. Its been regularly assumed they're selling plans as a major loss-leader because people can "spend" thousands of dollars a months on a plan if they were charged at API rates. I think there's good evidence that even the API rates are sold at a loss.

I think its assumed in the LLM model business that the models themselves are not a good moat, the next model by another company is just as likely to be as good as the current model. So companies like Anthropic have to tighten the noose slowly to start recovering their costs. This appears to be one of those steps.

“Unfortunately”?

Uh, that’s a good thing

How do we tell the doordash/uber playbook from the moviepass playbook? Because the latter would be awful to build your business on.

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