curriculum-disruption

2 items

The New Yorker 2026-05-17-2

Kang on AI and College: Performatively Cynical Defense as the Tell

Gallup: 18-to-34-year-olds who say college is very important dropped from 74% in 2013 to 43% in 2019 to 35% in 2025, with the steepest fall landing before ChatGPT, which complicates Kang's AI-accelerates-disillusionment thesis. The sharper observation in his New Yorker piece is the one he undersells: when Galloway, Cowen, and Caplan all retreat to "it's just credentialing, but that still works," they've already abandoned the brief that justified higher education's claim on $700B a year in U.S. spending. The credential-only defense doesn't preserve the institution; it clarifies the terms of its decline.

The Economist 2026-05-15-1

Is AI putting graduates out of work already?

The most AI-exposed graduate quintile lost 6.6 percentage points of full-time employment between 2022 and 2024, versus 1.5 for the least-exposed, and the class of 2025 most-exposed fields collapsed from 70% to 55%. The sharpest signal isn't the employment data, which is noisy and tech-cycle-confounded: it's computer programming enrollment down 26% in a single year, because prospective students choosing majors are pricing in lock-in years before the labor market clears. The class of 2030 just dropped programming as a major. Tomorrow's senior shortage is being built today.