I hesitate to link to HBR because readers might face a paywall (I didn't, but I use Firefox) but this observation conveys, I think, the central problem for 'management' in the age of AI: "If you can shoehorn a phenomenon into numbers, AI will learn it and reproduce it back at scale - and the tech keeps slashing the cost of that conversion, so measurement gets cheaper, faster, and quietly woven into everything we touch. More things become countable, the circle resets, and the model comes back for seconds. That means that any job that can be measured can, in theory, be automated." What happens to management theory when the only jobs worth doing for a human can't be measured? It's like we always thought: KPIs are more suited to machines than humans. Via George Siemens.
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