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credential-disruption

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The Wall Street Journal 2026-10-25-3

AI Splits the American University in Two

Masko argues AI splits the university in two, and a study of 25,000 Chinese students shows why: homework scores rose with AI, then exam scores dropped significantly once the technology was removed. His fix is supervised, AI-free undergraduate assessment. Next to Apollo's 'great calculator', that makes unaided judgment the scarce input; my extension, not his, is that employers could then price a bachelor's that proves it separately from a research degree that proves amplification.

The New Yorker 2026-05-31-1

The Despair of the Professor in the Age of A.I.

Twelve professors put AI use at 50 to 90 percent of student writing and read the loss as the end of thinking, but the one calm voice, a CS instructor, already moved his course from writing code to grading AI-written code that is correct or subtly wrong. Generation was always the proxy; judgment was the skill, and the essay just got unbundled from it. The same gap drives enterprise AI, where generation is solved and verification was never built, which puts the pricing power in AI-resistant assessment and evaluate-the-output training rather than in another tutoring app.

The Wall Street Journal 2026-05-27-1

The First Class of AI Natives Is Graduating. Offices Are Getting Ready.

SharkNinja is hiring 200 'AI-forward' grads, Salesforce 1,000 for 'hands-on, high-impact' roles, and 17% of employers are cutting junior hires entirely (up from 13%): the entry-level bifurcation is now firm-level data, not narrative. The buried cost: every grad fast-tracked past rotational grunt work is a senior judgment hole in 2030-2032. KPMG's gamified critical-thinking pivot for audit interns is the rare firm explicitly buying replacement apprenticeship infrastructure; most are buying velocity and writing the apprenticeship debt off the balance sheet.

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.