Counter point - models get better, ways to run them gets optimized and hardware will eventually come down in price.

The share of tasks where "cheaper" models are enough also increases for same reason. For majority of use cases it will quickly become race to the bottom. And that means part of the pie for the "premium" models of frontier AI labs will quickly become smaller and smaller.