India has the problem with farming that the US is starting to have with AI. Farming in India is still far too labor intensive by world standards. 43% of workers still work in agriculture. [1] For the US, that number is under 2%. China is at 22% as of 2023, and dropping steadily. This inefficient agricultural system is not by accident. It is supported by heavy subsidies. Attempts to cut the subsidies resulted in riots…
> Looking at how countries coped with a fast transition from labor intensive agriculture to an urban society gives hints on how an AI transition may look. All the Asian countries that went from poor to rich in a generation did this, with different approaches. How that took place may provide more useful info than philosophy. There's only one problem with comparing urbanization with the AI transition: there were still…
Mostly for export, in the case of the Asian tigers and China. Once wages reached developed world levels, an export-driven economy gradually became harder to sustain, because there was no longer a labor cost advantage. This is why Party leadership talks about "dual circulation", building up domestic demand within China, and about obtaining a technological edge that continues to make exports profitable. There's been considerable progress on both goals, especially in consumer electronics and the auto industry.
> The person who went from catered meals and foosball at the office to framing a house when it's 20 degrees F for a third of the money, none of the future, and a lot more body aches is going to be angry.
Yes. That happened to Egypt, where the government paid for college and then hired the graduates. Then the oil ran out. It's called "elite overproduction" when new college graduates can't get jobs that actually use their education. Already, in the US, about half of college graduates have jobs that don't really need a college education.