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Fair line of thought, and it also seems quite a few of the ais we hear about as 'successes' (eg that train to drive a car virtually around a track, or play a game) seem to follow the approach you described.

However, by coming to a working solution by throwing billions of iterations (in the case of playing games) and having a human score the results for the next 10000 attempts, it seems to be a very laborious process, and hardly efficient. It 'saves time' by using the speed of the computer, yet consumes way more resources than simply having a skilled human. I'd even argue that paying a skilled human to do the task is orders of magnitude cheaper than assembling an array of GPU racks to attempt the task. It seems it can hardly be called 'intelligent', nor 'learning'. It's like the monkeys and the typewriters. Even if one did do a Shakespearean work, could the monkey be called a playwright?