Even within technical fields, people describe specific tasks as "more of an art than a science". Within the context of AI, many will claim that AI can do the 'science' but not the 'art'. This begs the question of what art and science entail. With useful definitions of the two,

AI will eat the world Given enough time and compute resources, AI will replace 90% of the knowledge work we do today. At the current rate of automation that time may be shorter than we think. The 90% that is replaced by AI will be the simpler things, repetitive well

I don't know if Drucker thought a lot about artificial intelligence but he could have been when he said, 'what gets measured, gets managed. AI models learn through a repeated effort to minimise error. How we define error can wildly change how an AI learns and how useful it is