And to be clear, in many, if not most cases, settling for "good enough" is the right call, and spending hours upon hours chasing performance is the wrong call.
In other cases, especially in my sector, it's simply that the customer values lower cost over absolute performance.
Of course, not saying you shouldn't be mindful of introducing an O(n^2) algorithm when an O(n log n) can trivially be used, or similar.