> I don't know how I can explain this any more clearly. If you need AI to create software, and the cost of AI is $200/month, then only people who can afford $200/month can create software.

Your entire hypothetical is based on "ifs" that aren't true. Nothing in this sentence is true. You don't need AI to create software, the cost of AI development is much less than $200/month on average, and many more people can afford AI dev than programming bootcamps or classes or degrees.

> Costs will increase. The current cost is substituted by investor funding. Sell at a loss to get people hooked on the product and then raise the price to make money, a "high-growth business model" as you say.

Inference is already profitable at current pricing. Most funding goes toward R&D for new model training, not inference.

Also, inference costs dropped over 280x between Nov 2022 and Oct 2024. Inference will continue to get cheaper as we develop more specialized hardware and efficient models.

This is not Uber, subsidizing the cost of human drivers. This is real tech, chips and servers and software. Costs fall over time, not rise. Innovation does not go backwards.