I guess a key question is how much we should expect AI development to recurse back in on itself. The stronger this effect is, the shorter the time period in which it might be optimal to deploy AI in this fashion. In fact, it’s possible that the transition time could be so short that this paradigm becomes hot, then almost immediately becomes outdated.
“Management” consists of many different tasks, I don’t expect all of them to be automatable at the exact same time. As an example, there’s likely a big difference between an AI that manages project timelines or decides how to allocate tasks and one that defines the high-level strategy, both in terms of availability of the training data and how well it needs to perform in order to be deployed (many smaller company’s that can’t afford a project manager would be keen to make-do with an automated one even if it isn’t as good as a professional would be).
I guess a key question is how much we should expect AI development to recurse back in on itself. The stronger this effect is, the shorter the time period in which it might be optimal to deploy AI in this fashion. In fact, it’s possible that the transition time could be so short that this paradigm becomes hot, then almost immediately becomes outdated.
“Management” consists of many different tasks, I don’t expect all of them to be automatable at the exact same time. As an example, there’s likely a big difference between an AI that manages project timelines or decides how to allocate tasks and one that defines the high-level strategy, both in terms of availability of the training data and how well it needs to perform in order to be deployed (many smaller company’s that can’t afford a project manager would be keen to make-do with an automated one even if it isn’t as good as a professional would be).