Cornell University Report Directly Addresses the Impact of AI on the Value of Higher Education
Cornell University Provost Kavita Bala released the report "The Future of American Universities," confronting a fundamental question: Is a university education still worth it? The report was completed by a committee of 18 professors over one year, consulting over 6,000 faculty, students, alumni, government officials, and external advisors. The committee's answer is "worth it," but only if universities redefine and update their missions.
The report identifies AI as the primary impact. AI can "create the appearance of learning without fostering meaningful thought"; its generated assignments have reached the level of college graduates, rendering traditional assessment methods ineffective. The report also notes that many students internally reject AI but worry that they will fall behind if they do not use it, forcing them to comply. MIT previously issued a similar warning: AI can reliably complete most written assessments in undergraduate courses, and many courses need significant redesign to "survive encounters with AI."
A study led by Cornell provides quantitative evidence. The research covered over 95,000 students from 20 public research universities: 37% use generative AI at least once a month, with 62% among computer science students and 24% among arts students; 9% of students admitted to cheating with AI, with a cheating rate of 26% among daily users and 7% among monthly users. Study leader Kizilcec pointed out that the misuse of AI is damaging the credibility of university diplomas, and assessment reform is "necessary and urgent."
Trust and cost pressures are worsening simultaneously. The report cites Gallup data: public confidence in higher education has dropped from 57% in 2015 to 38% in 2026, yet 83% still recognize the role of universities in economic growth. Tuition increases have outpaced inflation for decades, and students are highly sensitive to the cost of attendance, forced to carefully choose majors and compete for internships to ensure returns. In the next decade, the "demographic cliff" will significantly reduce the traditional college-age population, impacting enrollment models.
Federal relations and employment are also under pressure. The report states that federal research funding is contracting, and the path to restoring it is unclear; legislative pressures on research independence are intensifying, posing challenges to academic freedom not seen in generations. Employers generally report that graduates lack three key skills: dealing with uncertainty, solving ambiguous problems, and accepting criticism while recovering from setbacks and collaborating across positions.
In market mechanisms, buyers are the students and families paying tuition, as well as employers purchasing diplomas; sellers are universities offering degrees as core products. AI has driven the production cost of assignments and papers close to zero, diluting the value of degrees as proof of capability, leading employers to shift towards skills testing and internship evaluations. Funding is moving from traditional degree premiums to AI tool providers, educational technology platforms, and various skills certifications. Beneficiaries are tech companies providing educational AI products and top universities capable of rebuilding assessment systems; those under pressure are mid-tier institutions reliant on tuition and lacking brand premiums, as well as ordinary students facing declining degree returns.
Cornell has already begun to take action. The report proposes five commitments: a human-centered AI approach and rigorous critical thinking, a two-way connection with the public, innovation and resilience in research, rebuilding academic citizenship, and integrating learning ecosystems. The university has established the position of Vice Provost for AI Strategy, filled by Thorsten Joachims, and is building a unified campus AI platform, requiring students to complete AI training and sign a commitment before use. First-year undergraduates must take a mandatory course on critical AI literacy. Due to high error rates, the university will no longer rely on AI detection software to handle academic integrity cases. Strategic planning to implement the report will be announced in the coming weeks. The research also found disparities in usage: the proportion of female students frequently using AI is 33%, while male students is 45%; minority students at 29%, and white and Asian students at 39%.
Source: Public Information
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Cornell itself is a product of institutional change. Founded in 1865 by Ezra Cornell and Andrew Dickson White under the land grant policy of the 1862 Morrill Act, it proposed that "anyone can learn any subject," breaking the mold of classical colleges that only taught theology and Latin. In 2012, Cornell, in partnership with the Technion-Israel Institute of Technology, won the New York City government’s bid for a tech campus, establishing the Cornell Tech campus on Roosevelt Island, being one of the first Ivy League schools to bet on industry integration. In 2025, the Trump administration froze about $1 billion in federal research funding for Cornell; in November of that year, the university agreed to pay the federal government $30 million and invest another $30 million in agricultural research in exchange for the restoration of funding. This report was initiated after the setback in federal funding.
Resources are shifting from traditional teaching systems to AI infrastructure. In February 2025, the California State University system procured ChatGPT Edu for approximately $16.9 million for 460,000 students, one of the largest AI procurements in higher education globally; OpenAI, Google, and Anthropic have launched educational products in succession, vying for entry into higher education. Cornell insists on building a unified platform and emphasizes "vendor independence," motivated to protect student data and maintain control over teaching, avoiding handing pricing power over classrooms to AI companies. At the same time, tax laws passed in 2025 raised the tax rate on investment income from the endowment funds of the wealthiest universities to a maximum of 8%, tightening both federal funding and donation income, forcing universities to recalculate the returns on every investment.
The closest historical analogy is the MOOC boom of 2012. Coursera, Udacity, and edX, founded with a $60 million investment from Harvard and MIT, were once thought to disrupt universities, with Udacity founder Sebastian Thrun even predicting that only ten universities would remain globally in 50 years. However, MOOCs have long had completion rates in the single digits to teens, failing to shake the degree system, as universities still monopolize "certification." AI is different; it directly penetrates the certification process, which is the assignments and exams themselves. The stock price of assignment tutoring company Chegg has fallen over 95% since the emergence of ChatGPT, with its business model nearly entirely replaced, serving as a cautionary tale. Higher education is currently in a phase of forced transformation.
At its core, it is a transfer of pricing power. According to the signaling theory proposed by economist Spence in 1973, diplomas are valuable not only because they impart knowledge but also because they are an expensive and hard-to-fake signal of ability. AI has driven the production costs of papers, assignments, and programming problems close to zero, significantly diluting the information content of the signal, leading employers to reclaim ability verification: skills testing, probation periods, and internship conversions. Degree premiums are compressed, and pricing power shifts from universities to employers and certification platforms. Cornell has rewritten its mission to "cultivate judgment," adopting oral exams, on-site critical thinking, and project-based assessments, essentially seeking new signals that AI cannot replicate and are therefore still scarce.
ABAB News · Cognitive Laws
When answers become free, the ability to ask questions becomes the degree.
The value of a diploma lies not in knowledge, but in its difficulty to forge.
Everything that machines can write no longer proves human capability.
Notes:
Message Positioning: I wrote this based on Cornell's "The Future of American Universities" report released on September 22, which is the most directly corresponding news this week.
Unverified Background: The contents in this AI interpretation come from publicly available information I have, and I did not verify each item online this round,
the freezing and settlement amount of Cornell's federal funding
the procurement figures of California State University
the endowment fund tax rate
Chegg's stock price decline