It’s not even that the current trend of “machine learning” (ie data processing) is at best a tiny subset of what anyone would consider to be actual intelligence (ability to act rationally in a wide range of situations, including novel ones, ie common sense).
It’s that the very idea of “artificial intelligence” is impossible. Terry Winograd, one of the earliest AI researchers in the 60s/70s wrote a great book about this called Computers and Cognition in which he lays out a coherent theory, grounded in philosophy and biology, for why the pursuit of machines that think like humans is doomed to fail. The crux of the argument is that the essence of intelligence/common sense has to do with something other than symbolic representation, ie the kind of thinking one does while playing chess or using language. It has to do with “being-in-the-world”, which sounds weird but is a really useful concept from Heidegger.
Winograd gives the example of a man using a hammer to illustrate this. A man using a hammer has no mental model of a hammer while he is pounding in a nail. The hammer simply becomes an extension of his arm. The only time a representation or mental construct of “hammer” becomes relevant is if there is a breakdown, like if the hammer slips. But otherwise, the intelligent act of hammering occurs without any “hammer” objects in the mind of the hammerer.
I’m vastly oversimplifying here, but the book (first published 1985) is quite well argued and frankly persuasive. Highly recommended to all those who seek to separate AI fact from fiction in these buzzy times.