I think their comment was more about user and consumer movement, plus both desire for, and need to utilize, frontier models to get the task done.
With the token budget sticker shock and end of the honeymoon phase, just a guess, but I expect a significant market share might start to look at open weight "not quite frontier" models and outsource compute alone and have greater control over the model rather than outsource everything. Which will also be a trend that peaks and folds as it's discovered it takes a lot of human work to get what you need. Maybe then settling into a pretty standard tier of medium-quality contractors that specialize in LLMAAS for cheap, running open weight models.
Which isn't to say that AI has plateaued, but rather that budget-friendly, functional options might undermine the importance of frontier models sooner rather than later.
With the token budget sticker shock and end of the honeymoon phase, just a guess, but I expect a significant market share might start to look at open weight "not quite frontier" models and outsource compute alone and have greater control over the model rather than outsource everything. Which will also be a trend that peaks and folds as it's discovered it takes a lot of human work to get what you need. Maybe then settling into a pretty standard tier of medium-quality contractors that specialize in LLMAAS for cheap, running open weight models.
Which isn't to say that AI has plateaued, but rather that budget-friendly, functional options might undermine the importance of frontier models sooner rather than later.