credential-disruption

3 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.

Auren's Substack 2026-05-17-3

if you can't get a job today, it's your fault

NACE revised class-of-2026 hiring up from 1.6% to 5.6% in six months, and the displacement camp and the Hoffman camp are both reading that number correctly because they're arguing different things: aggregate hiring is stable, composition is rotating from credential to portfolio. The kids running the old playbook are losing a fight nobody else is in. Any hiring funnel still sorted by US News rankings is already a stranded asset.

Wall Street Journal 2026-05-14-3

'A' Grades Are Suddenly Everywhere Since the Arrival of ChatGPT

Berkeley analysis of 500,000 grades finds AI-exposed college classes gave 30% more A's after ChatGPT launched, concentrated in take-home work where AI use is easiest. Employers responded by tightening the GPA filter: NACE adoption climbed from 37% to 42% since 2023, and Handshake postings demanding 3.5+ rose from 9% to 25% since 2020. Tightening a broken filter doesn't fix it; firms that move to work-sample assessment for AI-exposed roles in 2026 will pick from a better pool than firms still resume-screening in 2028.