they're already making a business model where enterprises buy tokens and put them in a pool for their users to use, and I feel like that's exactly where some companies will then compare that token pricing to open source models and find it hard to justify the prices, especially as it's quite obvious that many models https://news.ycombinator.com/formatdocare now "good enough"

I shortened my list to NVidia and AMD because putting Apple in muddies my point: I'd argue they'll be able to sell laptops + phones in that world, but only if you can run frontier open models on their devices, and do so efficiently. This is definitely not the case for their in-house AI offerings, like Siri, but it is already true if you install llama.cpp or whatever. I suspect that AI will not be a big revenue source for them (unless they completely turn around their software engineering org), but instead will be a "good enough to keep people from dumping their iCloud subscription" offering instead. Siri is basically that: It's completely useless, but people aren't switching to android because of it.

In the First World War, when they introduced the tank, everybody assumed its role would be to punch a big enough hole in the front lines that the horse cavalry could ride through and attack the enemy's supply lines, because That's How Wars End™. You fight the war you know, even when it's not the one you're actually fighting.

This is a really great identification of why, from an investing perspective, AI is nothing like past technologies.