Does AI mean the demand on labor goes up?

The page argues that AI can raise the demand on labor instead of reducing it. Better tools lead people to create more apps, write more reports, and expand what they expect from themselves.

It links this to the AI productivity paradox, Jevons paradox, and Parkinson’s Law. Studies cited in the text say AI-exposed workers now work more hours, many employees say AI has added to workload, and most do not use saved time for personal life.

Reading notes

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• AI makes workflows more efficient, but the result described here is more work, not less.
• Non-developers are now writing apps instead of buying them.
• Workers in AI-exposed occupations reportedly work about 3 extra hours per week, with leisure time dropping by the same amount.
• Upwork’s research says 77% of employees think AI tools have added to their workload.
• The text uses Jevons paradox to explain how efficiency can create more use rather than less use.
• The same pattern is applied to time and cognitive capacity, where easier work leads to higher internal expectations.
• The page says only 21% of employees use AI-saved time for personal life.
• It concludes that work expands to fill the capabilities available.