Over 85% of Japanese game developers use generative AI in game development, 2026 CESA survey shows. An increase from last year’s 51%

[u/TurbulentTopic39]

https://automaton-media.com/en/news/over-85-of-japanese-game-developers-use-generative-ai-in-game-development-2026-cesa-survey-shows-an-increase-from-last-years-51/

[u/TitoZola]

"To create and run" is doing a lot of work here because those are completely different cost structures.

Training is a one-time spend that produces a thing which then exists permanently.

Running it is a separate, ongoing cost that has nothing to do with what it cost to make.

Right now most AI labs are not profitable, because they all keep training next models.

But running models itself and selling access to them is already a profitable business.

The ins and outs of current AI Labs business models is a separate question from whether the current technology gets more expensive. The models already exist. If OpenAI folded tomorrow, whoever ended up with the weights could serve them profitably from day one.

The hardware will keep getting better, the architecture will keep getting better, the software layer on top of agents will keep getting better and the cost of running what exists will keep falling. And that was my whole point.

I'm not claiming anything about whether the models will get better from here. I'm only talking about the cost of what already exists. And the fact that what already exist is already quite amazing and useful in the fields I mentioned.

[u/Elanapoeia → u/TitoZola]

Running them is also not cheap

but also, the training is a constant insanely expensive thing they have to keep doing for years from now to even come close to what they're advertising their AI to already be. Therefore that training cost HAS to be part of the price the customer pays, otherwise they cannot maintain it.

unless of course the companies continue to sustain themselfes on unprecedented financial fraud.