Most so-called AI projects are nothing of the sort. A mix of vendor hubris and enterprises trying to show they are ahead of the curve.
The amount of data required for even machine learning exceeds that available. Many organisations can only access 10% to 30% of the data they have today so how can they claim to be applying AI?
For more on this read the article below and:
“You are right to be confused,” says Harvard computer scientist Leslie Valiant, because the terms artificial intelligence and machine learning “are suddenly being used interchangeably in the popular press.” Even Trevor Darrell, a leading artificial-intelligence researcher at UC Berkeley who’s also part of a DARPA-funded project on (wait for it) “explainable AI” admits that “there is no precise distinction—they overlap greatly.”