Using open models and inference clouds (which serve open models) is a leading indicator of what is to come.
The advantage of open weights is that you can train, serve, and continually improve your own model. You get control over cost, quality, latency, deployment options, etc.
It's just a matter of time before every company does this for their most important AI workloads.