OSS only dominates for software that is commoditized and the published computer science research for that software domain is close to the frontier.

OSS struggles at being relevant when software is non-commodity e.g. office suites. In software domains like databases where the state-of-the-art computer science research is often unpublished, OSS struggles to be relevant at the higher end of the market on technical merits.

When deciding what should be OSS, it is useful to consider the preconditions that have made it successful.

I personally expect token production to commoditized like mobile data. It's already happening.

See open weights gaining adoption, OpenAi talking about how 5.6 is cheaper than Fable, people are taking multiple approaches to reduce their token spend, expectations for progress in hardware and algos, and certain Ai leaders talking about how token prices should be 10-100x lower than they are.

LLMs are nearly commoditized already. I can switch between a dozen of them from four different providers as easily as flipping a toggle in my VSCode editor.