> They aren't going away but for some they may become prohibitively expensive after all the subsidies end.

Even if inference was subsidized (afaik it isn't when paying through API calls, subscription plans indeed might have losses for heavy users, but that's how any subscription model typically work, it can still be profitable overall).

Models are still improving/getting cheaper, so that seems unlikely.

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SlinkyOnStairs 38 minutes ago | parent | next [-]

> afaik it isn't when paying through API calls

There is no evidence for this. The claims that API is "profitable on inference" are all hearsay. Despite the fact that any AI executive could immediately dismiss the misconception by merely making a public statement beholden to SEC regulation, they don't.

> Models are still improving/getting cheaper

The diminishing returns have set in for quality, and for a while now that increased quality has come at the cost of massive increases in token burn, it's not getting cheaper.

Worse yet, we're in an energy crisis. Iran has threatened to strike critical oil infrastructure, and repairs would take years.

AI is going to get significantly more expensive, soon.

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ernst_klim 5 hours ago | parent | prev [-]

It probably is still subsidized, just not as much. We won't know if these APIs are profitable unless these companies go public, and till then it's safe to bet these APIs are underpriced to win the market share.

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zozbot234 4 hours ago | parent | next [-]

Third-party AI inference with open models is widely available and cheap. You're paying as much as proprietary mini-models or even less for something far more capable, and that without any subsidies (other than the underlying capex and expense for training the model itself).

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CuriouslyC 5 hours ago | parent | prev | next [-]

Anthropic has shared that API inference has a ~60% margin. OpenAI's margin might be slightly lower since they price aggressively but I would be surprised if it was much different.

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bigfishrunning 4 hours ago | parent [-]

Is that margin enough to cover the NRE of model development? Every pro-AI argument hinges on the models continuing to improve at a near-linear rate

	▲	tonfa 3 hours ago \| parent [-]
		Yeah but the argument people make is that when the music stops cost of inference goes through the roof. I could imagine that when the music stops, advancement of new frontier models slows or stops, but that doesn't remove any curent capabilities. (And to be fair the way we duplicate efforts on building new frontier models looks indeed wasteful. Tho maybe we reach a point later where progress is no longer started from scratch)

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throwthrowuknow 5 hours ago | parent | prev [-]

Then we’ll likely know by the end of this year.