I'm not convinced the executive layer is aware how dire the problem is.
On one hand, their support for outsourcing programmes; "Training Indians on how to use AI", suggests they realize AI tooling without human cleanup is a crapshoot.
On the other hand, they keep digging. This kind of gaslighting is an old and proven trick for genuinely rare problems, but it doesn't work if your issues are fairly common, as they'll get replicated before you can get a fix out.
Similarly, they're gambling with immense legal risks and sacrificing core products for it. They're betting the farm on AI, it may kill the company.
I think they are more than aware but will magically disappear after cashing their stock just about the point the bubble pops. Don't forget that the AI industry is almost 100% based on hype. Microsoft will be the largest victim here, their entire product portfolio being turned into a nuclear fallout zone almost overnight. Satya and friends are going to trash the whole org.
I regularly speak to laypeople who assume that it's some magical thing without limits that makes their lives better. They are also 100% unaware of any applications that will actually make their lives better. End game occurs when those two disconnected thoughts connect and they become disinterested. The power users and engineers who were on it a year ago are either burned out or finding the limitations a problem as well now. There is only magical thinking, lies and hope left.
Granted there are some viable applications but they are rather less overstated than anything we have no and there are even negative side effects of those (think image classification, which even if it works properly, requires human review and there are psychological and competence things problems around that too).
On one hand, their support for outsourcing programmes; "Training Indians on how to use AI", suggests they realize AI tooling without human cleanup is a crapshoot.
On the other hand, they keep digging. This kind of gaslighting is an old and proven trick for genuinely rare problems, but it doesn't work if your issues are fairly common, as they'll get replicated before you can get a fix out.
Similarly, they're gambling with immense legal risks and sacrificing core products for it. They're betting the farm on AI, it may kill the company.