The comparison doesn't quite hold because AWS is a utility; they aren't an arbiter of quality. Amazon charges for a serverless call regardless of whether your code worked or crashed. You pay for the effort (compute), which is verifiable and binary.

Once you shift to billing for outcomes like "resolutions," the vendor switches from a utility provider to the judge and jury of their own performance. At scale, that creates a "fox guarding the henhouse" dynamic. The friction of auditing those outcomes to ensure they aren't just Goodharted metrics eventually offsets the simplicity the model promises. Frankly, I just cannot and will not trust the judgment of tech companies who evangelize their own LLM outputs.