This is simply not true. Go read that article I posted on the last page. The people most intimately familiar with AI, and the ones who know how best to utilize it - that would be its developers - are getting extensive productivity benefits from it. The fact that the average person cannot yet get a lot of value out of AI doesn't mean the technology is useless, it just means that we're still very early on the adoption curve. Your grandmother farting around on AOL in 1996 and complaining about how difficult it was to send an email was not an indictment of the internet; it was an example of a technology that was only just beginning to break through to the mainstream.
The publicly available chatbots/LLMs are really just scratching the surface of what AI is going to do. Right now these LLMs are trained for sort of general purpose use, and that is what most people use them for (analogy: you can ask pretty much anyone off the street to google something for you and give you the answer because it doesn't take any special skills, i.e. "who won the gold medal in the men's 100m dash in 1976?") What's going to be hugely disruptive is when large companies start building highly specialized enterprise AI models, trained on all their internal data and processes, and designed specifically for their workflow requirements. These models will be very accurate, fast, and streamlined, and they will allow people who know how to use them well to do the work that previously required 5-10 people. (analogy: you can't ask just anyone off the street to drive a race car, dance ballet, or perform brain surgery. You require a specialist). Real economic value comes from specialization, and we are only just beginning to see that from AI.
