The scarcity framing assumes compute is the bottleneck. For most production deployment's Ive seen, the actual bottleneck is evaluation and knowing what to trust.

You can throw cheaper models at a problem all day but, if you can't measure where the model fails on your data, You're just making mistakes faster at a lower cost.

Compute gets cheaper. Reliable evaluation doesn't.