By AI here, it is meant generative systems relying on neural networks and semi/self supervised training algorhms.

It's a reduction of what AI is as a computer science field and even of what the subfield of generative AI is.

On a positive note, generative AI is a malleable statiscally-geounded technology with a large applicative scope. At the moment the generalistic commercial and open models are "consumed" by users, developers etc. But there's a trive of forthcoming, personalized use cases and ideas to come.

It's just we are still more in a contemplating phase than a true building phase. As a machine learnist myself, I recently replaced my spam filter with a custom fineruned multimodal LLM that reads my emails a pure images. And this is the early early beginning, imagination and local personalization will emerge.

So I'd say, being tired of it now is missing much later. Keep the good spirit on and think outside the box, relax too :)