Because finishing someone else's (or something else's) "half decent work" to the point of "actually decent" becomes the bottleneck.
This has always been the case for human project management, and LLMs just aren't at that level yet.
It's more like everyone is speed running to how fast they can convince others that "half decent" is good enough. And for sure, newer models of LLM seem to be getting better at that.
> It's more like everyone is speed running to how fast they can convince others that "half decent" is good enough.
But that's what Agile is all about, isn't it? We've been speedrunning delivering increasingly smelly shit at increased velocity ever since SaaS became a thing, because ubiquitous Internet access is what allowed our industry to adopt the "lob feces over the fence for users to deal with" release model.
AI does speed that up, true (though since the market - and management - didn't catch up with it yet, we have a brief moment where we can use AI to increase quality while keeping usual delivery rate.)