alt Hacker News> A classic management failure is not paying enough attention to something. This is usually not a problem for computer systems. Humans are bandwidth-limited. Teams of AIs are far less bandwidth-limited.
That's a feature, not a bug. CEOs should be focusing on the key goals of the business at a high level.
Having an inexhaustible AI CEO that can pay attention to every little thing in the company could easily turn into a micromanagement nightmare.
"I noticed your key pressed were down 27% last week and your agents sat idle 3 nights in a row. And honestly? The thing to hold on to is that it's not a small thing, it's a load-bearing reduction in your output. Let's try to minimize the blast radius with some belt-and-suspenders productivity tips from the bullet point list below:"
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Some of the non native English speakers on my team have started to use “blast radius” and “shape of” in the course of casual conversation. It’s unnerving.
You again anthropologizing AI. AI does not have to make everyone busy to look useful like for some human managers, when right priorities are set.
Imagine a manager who knows that company needs in a long term support person even if it's not busy at the moment. Because AI has data of historical precedents and actual calculations. And AI is not acting like a manager who wants to fire you because of gut feeling or possible stock options. Imagine that AI CEO is owned by employees, actual humans who perform the actual work and who benefit from good CEO decisions and most importantly the AI CEO which does not gave to be paid gazilion dolars just to burn the company to the ground and leave with golden parachute. I think there is a good insight that AI has very high bandwidth, that human management does not have, no more 2 week meeting marathons just to get everyone on same page and to get all the inputs.