Generative AI is accelerating a structural conflict inside American higher education, separating the work required for a degree from the intellectual and social experience colleges claim to provide, according to a September 2026 analysis in The Atlantic. The argument places AI alongside the pandemic and federal research-funding pressure as forces exposing institutions that perform several increasingly incompatible roles.
On campus, AI has created a basic problem of verification. Students can use automated tools to produce essays, code and answers to problem sets, making it harder for instructors to know whether submitted work reflects learning. Faculty members also use the technology for professional writing, while researchers employ it in areas such as protein prediction, materials design and drug discovery. Universities are consequently policing some uses of AI while investing in infrastructure and launching programs intended to prepare students for an AI-shaped economy.
That tension reflects two promises traditionally bundled into a college education. A university awards a credential intended to certify knowledge and improve access to employment. It also offers a coming-of-age environment built around independence, relationships and intellectual exploration. Those functions once reinforced each other because completing academic work required sustained participation in campus life. Generative systems make it possible to produce some coursework with far less engagement, weakening that connection.
The pandemic had already demonstrated that credentialing could continue when physical campus life was reduced or absent. Online teaching preserved a path to degrees, even as students challenged whether remote instruction justified the full cost of attendance. AI pushes the separation further by loosening the connection between the process of studying and the output used for assessment.
Other changes have reduced the campus’s exclusive role in personal development. The internet exposes students to wider communities before they arrive, while internships, networking and other career-building demands increasingly pull attention beyond classes. College sports and Greek recruitment have also evolved into enterprises operating on a scale that extends well beyond an individual institution. Meanwhile, large universities function not only as schools but as research centers, health systems, employers and property operators.
Research introduces another fault line. Major universities depend on large flows of federal funding to support scientific work and graduate education. Funding cuts under the second Trump administration, the analysis argues, exposed how central that research enterprise has become even though families may primarily understand college as undergraduate teaching and credentialing.
The essay does not present a new empirical study or a single institutional remedy. Its significance lies in connecting several current pressures: AI did not create every contradiction in higher education, but it makes them more visible. Colleges can promote automated research and workplace readiness while trying to preserve assessment, mentorship and shared academic effort. Whether those activities can remain within one institutional package is becoming a central question for administrators, faculty, students and families.
