AI shows you what works, so you stop finding what could

AI optimizes toward what already works, then shows you more of it. That feels efficient, but it quietly narrows the field: you stop meeting the odd option, the outlier, the thing that could have beaten the best you know. Optimization and discovery pull in opposite directions. Where has “what works” quietly crowded out “what might”?