The leakage issue is real. Before there was a way to use "GPT Pro" models on enterprise accounts, I had a separate work-sponsored Pro-tier account. First thing I did was disable "improve models for everyone." One day I look and, wouldn't you know it, it had somehow been enabled again. I had to report the situation to security.

As far as lock-in, though, that's been much less of a problem. It's insanely easy to switch because these tools are largely interchangeable. Yes, this project is currently built around Claude code, but that's probably a one-hour spike away from flexibility.

I actually think the _lack_ of lock-in is the single biggest threat to the hyperscalers. The technology can be perfectly transformative and still not profitable, especially given the current business model. I have Qwen models running on my Mac Studio that give frontier models a run for their money on many tasks. And I literally bought this hardware in a shopping mall.