Did every office wind up with more compute than an ENIAC? Yes. Did it take as much real estate as ENIACs would have? Of course not.
Did it happen in five years? Absolutely not.
Our AI models will get better and more efficient. Our compute will get more efficient. But how much has FLOPs per watt improved in the last five years? Not much. How much more power efficient have models gotten? Not much, we haven't been optimizing for that, since quality isn't even there yet for many tasks; we've instead been making models larger and require even more compute. It's not hard to extrapolate these trends and see that if you were to replace a billion jobs in five years, enormous amounts of power will be required.
Edit: though perhaps you're making the point that the AI energy usage is a drop in the bucket compared to its overall usefulness. I agree on that.
Ideally those 1b people would contribute value elsewhere in the world, leading to a big net gain rather than just displacement - and we’re hopefully getting bigger gains for the energy invested. Of course that’s ignoring likely concentration of value, etc.