The graph seems to indicate a new high in cost per task. It looks like they came in somewhere around $5000/task, but the log scale has too few markers to be sure.
That may be a feature. If AI becomes too cheap, the over-funded AI companies lose value.
Inefficiency can create a moat. If you can charge a lot for your product, you have ample cash for advertising, marketing, and lobbying, and can come out with many product variants. If you're the lowest cost producer, you don't have the margins to do that.
The current US auto industry is an example of that strategy.
So is the current iPhone.
That may be a feature. If AI becomes too cheap, the over-funded AI companies lose value.
(1995 called. It wants its web design back.)