What's this about?
Thariq (Claude Code team) argues you can already see Jevons paradox in math after the Astra news: more mathematics is happening, it's easier to understand, and mathematicians have more time to discuss it at higher abstraction levels — so demand for people who think about math will rise, not fall.
What exactly is "Jevons paradox"?
The 19th-century observation that making a resource cheaper to use increases total consumption of it: efficient steam engines meant more coal burned, not less. Applied here: AI making mathematical work cheap doesn't shrink the field — it explodes the amount of math being done, which needs more humans to direct, verify, and apply it.
Why it matters
It's the optimistic counter-narrative to "AI replaces mathematicians," argued from inside the tooling world — and it generalizes to programming, the debate the whole industry is having.