This is why generative AI is great imho, it allows us to rapidly replicate capabilities that might experience enshittification without the historical moat of capital for investment in bespoke software engineering time.
Find use case, find stakeholders, wrangle stakeholders, build application with tokens, manage it in a non profit, coop, or similar model. License it in a way that prevents capture by commercial interests. Private equity (or rather, capital driven operating models in general) cannot enshittify what they cannot capture. If models continue to improve, this cycle can accelerate if generating "good code" continues to become more efficient and less resource intensive over time.
TLDR Building an anti-enshittification software factory.
I understand this kind of thinking was the driver behind the so-called "SAS-pocalypse" in the stock market.
I believe this is a very flawed way of thinking that misunderstands why companies actually pay for software services. What you have described is essentially to hire an AI to provide the service. Our current LLM-based systems are not capable of this and probably won't be with the currently used technology. Software services is not the code. The code is frankly the least important part.
I agree -- and I think that the applications should be open-sourced and in general provided to the public commons.
Some people won't like AI no matter what, but it's hard to argue with results that clearly benefit the public good and empower the little guy vs. public equity or the megacorp.