While I found myself in furious agreement with the section titled "Jevons Paradox", I'm less convinced by this argument from the "Comparative Advantage" section:

"While AI is powerful, it’s also computationally expensive. Unless someone decides to rewrite the laws of physics, there will always be a limit on how much artificial intelligence humanity can bring to bear."

The cost for running a prompt through the best-available model has collapsed over the past couple of years. GPT-4o is about 100x times less expensive than GPT-3 was, and massively more capable.

DeepSeek v3 and R1 are priced at a fraction of OpenAI's current prices for GPT-4 and o1 model and appear to be highly competitive with them.

I don't think we've hit the end of that trend yet - my intuition is that there's a lot more performance gains still to be had.

I don't think LLM systems will be competitive with everything that humans can do for a long time, if ever. But for the things they CAN do the cost is rapidly dropping to almost nothing.