New Yorker Asks Whether A.I. Will Make College Obsolete

The New Yorker published a Daily newsletter titled "Will College Soon Be Obsolete?" on May 21, 2026. Per a Fault Lines essay and summary text on newyorker.com, Jay Caspian Kang writes that "more and more families may decide that college isn't worth the cost" amid the rise of A.I. and readily available alternatives, according to the article snippet. The full article content is paywalled on The New Yorker site.

Advances in A.I. that enable personalized tutoring, automated assessment, and on-demand skills training are reducing friction for self-directed and employer-directed learning. Companies building curriculum, adaptive practice systems, and credential platforms increasingly combine large language models with assessment engines and proctoring to create end-to-end learning pathways. These are broad industry trends, not claims about the New Yorker piece itself.

Editorial analysis: Public debate about the economic value of college is intensifying as A.I.-enabled tools lower the marginal cost of certain kinds of skill acquisition. For practitioners and hiring managers, this shifts the relevance of formal degrees toward demonstrable, task-specific skills and validated performance signals. Observers should treat this as a secular pressure on higher-education value propositions rather than an immediate institutional collapse.

Editorial analysis: Track employer hiring patterns for degree requirements, adoption rates of alternative-credential platforms, peer-reviewed studies on A.I.-tutoring efficacy, and policy responses around accreditation and student aid. These indicators will show whether A.I.-enabled learning translates into labor-market mobility at scale.

The available text for this piece is limited by The New Yorker's paywall. The summary above relies on The New Yorker's published headline, date, and a public snippet attributing the key observation to Jay Caspian Kang. No direct internal statements about institutional plans or stakeholder intentions appear in the publicly accessible excerpt.