Navier-Stokes is a well defined problem, or "a hard technical problem". Most problems in the business world lack a good definition and tacit knowledge is requi

Navier-Stokes is a well defined problem, or "a hard technical problem". Most problems in the business world lack a good definition and tacit knowledge is required to solve them. As far as I've seen, AI lacks any kind of tacit knowledge, strategic thinking, etc what so ever. Take a customer service person, that as soon as AI agents replaced was hacked. Lots of tacit knowledge, that wasn't measured, or even probably in the job description, until AI agents had none and the gap was taken advantage of. Gap is probably a poor word here as it implies not a chasm, which could very well be the case. Your analysis was excellent but short on one front, AI has endurance on it's side. Looking at the N-S solution, OpenAI had 10,000+ instances that kept trying around the clock. Assembling a human team to do that would require a lot of effort. Though, that society collectively choose not to, perhaps tells how valuable it really is (i.e. it's now easy to launch a Manhattan Project level of effort). So maybe it can also be said that AI is also good at marshaling resources.