whats being described is in no way unique to ai.
"In other words, Levie’s theory posits, CEOs don’t really understand processes well enough to know what really can and can’t be automated. But that lack of knowledge doesn’t stop them from acting on their beliefs."
i have been in the workforce for a long time. this "theory" has been theorized since as far back as i can remember. its the premise of undercover boss. its the punchline of many r/maliciouscompliance writing exercises.
the higher up the company you go, the more disconnected you are from the workers on the front line, the less you understand about their needs, and the more likely you are to push for something without understanding the totality of the impact of the decision.
The whole is greater than the sum of its parts. Often you need to disregard the detail and minutiae of existing processes to set a better course. The goal is not to avoid short or even medium term pain or even unintended consequences at a department level, but rather to steer the company in a new direction. Processes should adapt or be thrown out to achieve the new direction.
This is not too dissimilar when you realize a software architecture is holding you back. You don’t try to “save” all the existing functions, modules, layers, etc. but instead are happy to discard or replace them given your top-down vantage point of the system and where it needs to head.
Or you answer to somebody else, which is how perpetually cannabilizing next quarters numbers to appease short term shareholders becomes more important than cost savings and using your labor pool time to solve actual problems.
Or when the sales teams bonuses are more important than the margins of the business.
There’s lots of reasons the “wrong work” gets pushed down and it’s not exclusively because “they aren’t listening” as much as “they are listening to someone else who matters more.”
It doesn’t have to be this way.
It’s a by product of tax policies and lax anti-monopoly policies that allows incompetence to thrive. If a company gets too big to fail, then it stops calibrating for competency.
The most effective military leaders in history had a deep understanding of fighting war because they came up through the system and the cost of failure was their death.
lol just reminds me of the SNL sketch about Kylo Ren undercover boss https://www.youtube.com/watch?v=FaOSCASqLsE
What's unique to AI is that CEOs now have a robot that supports that disconnect. Our CEO recently announced that he has now started doing frontend programming, by which he meant that he had told ChatGPT to output some HTML. No doubt it also told him how smart and clever his ideas were and what a great engineer he was.
This kind of thing only increases the disconnect between what CEOs think employees do and what they actually do.