Higher education is experiencing a moment of reckoning. Students are using AI to complete assignments. Faculty struggle to assess learning when traditional markers of effort have become unreliable. Universities scramble to write AI policies years after the technology became ubiquitous. But here is what social science reveals: this is not an AI crisis. This is an institutional crisis that AI simply made undeniable.
Grade inflation has quietly eroded the meaning of academic credentials for decades. A’s represented just 15% of all letter grades in 1960, rising to 43% by 2009 (Rojstaczer & Healy, 2012). The Department of Education confirms that four-year college GPAs rose more than 16% between 1990 and 2020, with A now the most common grade at American universities. Our own analysis of over 460,000 grades found that 73% at a public institution fell in the A–B range, with significant variation across fields (Hermanowicz & Woodring, 2019). Meanwhile, only 38% of employers still screen candidates by GPA — a 35% decline in five years (NACE, 2024). The credential that was supposed to signal competency has become noise.
The workforce behind that credential has been hollowed out. Nearly 68% of faculty are now in contingent positions — up from 47% in 1987 (AAUP, 2025). These faculty earn an average of $4,093 per course — roughly one-fifth what a full professor earns for teaching the same class — often without health insurance or retirement benefits. A UC Berkeley Labor Center study found one in four adjunct families rely on public assistance programs. The people doing the teaching have become disposable, while the credential they confer grows increasingly questionable.
Students continue to accumulate debt at unprecedented rates. Total U.S. student loan debt now exceeds $1.67 trillion across 42.3 million borrowers (Federal Student Aid Data Center, 2025). Recent graduates are underemployed at the highest rate since the pandemic — 42.5% work in jobs that don’t require a degree (Federal Reserve Bank of New York, 2025). Chetty et al.’s landmark 2017 study in Science found that absolute income mobility plummeted from 92% for children born in 1940 to just 50% for those born in the 1980s. The return on investment for a bachelor’s degree has deteriorated significantly for many institution types and fields, while the debt burden remains constant.
This is the gap AI has illuminated. When a student can use language models to complete coursework, the question becomes: what is the actual value of what we are credentialing? Institutions sense the urgency — 57% now label AI a “strategic priority” — yet only 2% fund it through new money; reallocate budgets already stretched thin (EDUCAUSE, 2025). The AAC&U’s 2025 faculty survey found 68% say their institution has not adequately prepared them to use AI in teaching, while the Digital Education Council reports only 17% of faculty have reached advanced AI literacy — three years after ChatGPT launched. When assessment practices break down this completely and institutional responses amount to reshuffling scarce resources, the system itself was never measuring what it claimed.
This is where social science becomes essential. Sociologists, economists, and educational researchers have documented this structural reality for years — why universities replicate outdated structures even when they no longer serve their stated purposes, how credential systems become detached from actual competency, and why learning happens through many pathways that institutions have been slow to recognize.
AI did not create this misalignment. It simply made it impossible to ignore.
The opportunity is to rebuild higher education around what we actually know about how humans learn and how knowledge is produced. Some faculty bodies are already pushing in this direction. In 2025, CUNY ratified the first faculty union contract in the U.S. explicitly prohibiting AI from replacing human instruction (PSC-CUNY, 2025) — a signal that the fight for human-centered education is not theoretical.
The question now is whether institutions will use this moment to confront what has been broken for decades — or keep pretending the cracks aren’t there.
References
AAUP (2025). Data Snapshot: Tenure and Contingency in US Higher Education, Fall 2023. Annual Report on the Economic Status of the Profession, 2024–25. https://www.aaup.org/academe/issues/spring-2025/data-snapshot-tenure-and-contingency-us-higher-education-fall-2023
AAC&U / Elon University (2025). The AI Challenge: A National Survey of Faculty. https://www.aacu.org/newsroom/national-survey-95-of-college-faculty-fear-student-overreliance-on-ai
Chetty, R. et al. (2017). The Fading American Dream: Trends in Absolute Income Mobility Since 1940. Science, 356(6336), 398–406. https://doi.org/10.1126/science.aal4617
Digital Education Council (2025). Global AI Faculty Survey 2025. https://www.digitaleducationcouncil.com/post/what-faculty-want-key-results-from-the-global-ai-faculty-survey-2025
EDUCAUSE (2025). 2025 AI Landscape Study. https://www.educause.edu/research-and-publications
Federal Reserve Bank of New York (2025). The Labor Market for Recent College Graduates. https://www.newyorkfed.org/research/college-labor-market
Hermanowicz, J.C. & Woodring, D.W. (2019). The Distribution of College Grades across Fields in the Contemporary University. Innovative Higher Education, 44, 497–510. https://doi.org/10.1007/s10755-019-09474-w
NACE (2024). The Key Attributes Employers Are Looking for on Graduates’ Resumes. Job Outlook 2024.
PSC-CUNY (2025). Ratified Collective Bargaining Agreement. Professional Staff Congress, City University of New York.
Rojstaczer, S. & Healy, C. (2012). Where A Is Ordinary: The Evolution of American College and University Grading, 1940–2009. Teachers College Record, 114(7), 1–23. https://doi.org/10.1177/016146811211400707
UC Berkeley Center for Labor Research and Education (2015). The High Public Cost of Low Wages. https://laborcenter.berkeley.edu/the-high-public-cost-of-low-wages/
U.S. Department of Education, Federal Student Aid Data Center (2025). Federal Student Loan Portfolio. https://studentaid.gov/data-center/student/portfolio