The green checkmark stopped meaning what it used to

Software shipped with two perspectives for a reason. One mind wrote the code; another mind read the requirement and tried to break it. The second mind was the safeguard against the first mind's blind spots, not a redundant check on its typing. In traditional QA, that separation was structural: developers and testers occupied different roles, different incentives, different days. Their disagreement was the product.

AI code-plus-test pipelines can collapse that separation back into one. Simonova does not claim direct measurement of role erosion across the industry; the collapse of the independent perspective is an inference from the mechanism, not an empirical finding. In her Forbes Technology Council piece, the same tool that interpreted a customer-discount requirement as "$500 before tax" then generated tests confirming that very reading. The suite went green. The narrow interpretation was enforced twice instead of caught once. Simonova's broader claim is sharper: AI does not fix unclear requirements, it scales them, and a large pile of generated scenarios can mask a single buried reading rather than stress-test it.

When implementation and validation share an author, agreement between them is internal consistency, not independent verification. The green checkmark, in that case, proves the model agrees with itself.

The constructive move is to design the second perspective back in on purpose: a human, or a deliberately different model, reads the requirement itself before the green checkmark is trusted. That habit treats the test suite as one signal among several, and the business rule as the one the team actually has to defend.