I don't expect so, but as LLMs get better more people want to use them in more places. An openly available LLM for commercial use which is easy to integrate in your existing databricks flow could be very tempting. That then leads to increased use of the platform & hours spent computing, so that's better for them.
It also shows how to build and train these things on databricks, so maybe more people will use them to make custom trained LLMs.
My hunch is that OpenAI's window of supremacy will be short. Even if they keep being SOTA, the open sourced models will eat away market underneath them. By the next year they will only be able to sell GPT-4 or 5. At some point the open models will be good enough for 99% of use cases.
Quality is one aspect, running them is another. If I've already got everything setup with them and they work efficiently, they could also offer open source models and let me pay for usage. Both bursty usage and low constant usage benefit from paying per token and having some shared & large infrastructure to use. I don't want to be running a bunch of h100s, I just want my requests processed.
If they're selling gpt-5 and let me pay for LLaMa or whatever is also out then I'll just use them unless pricing is wildly different.
It also shows how to build and train these things on databricks, so maybe more people will use them to make custom trained LLMs.