The unemployment rate for recent college graduates ages 22 to 27 held at approximately 5.6% through the second quarter of 2026, above the national unemployment rate of 4.1%, according to the Federal Reserve Bank of New York’s latest labor market data. The underemployment rate for the same group edged up to 42%, meaning nearly half of young degree holders are working in positions that do not require a college education. The gap between graduate and overall unemployment has widened to levels not recorded since 2013 outside the pandemic period.
Key Takeaways
- The unemployment rate for college graduates ages 22 to 27 stood at approximately 5.6% through Q2 2026, while the national unemployment rate sat at 4.1%, according to the Federal Reserve Bank of New York.
- The underemployment rate for recent graduates edged up to 42%, the share of degree holders working in jobs that typically do not require a bachelor’s degree.
- Entry-level job postings on Handshake, a college recruiting platform, dropped more than 16% year over year between August 2024 and August 2025, while applications per posting rose 26% to 30%.
- Stanford economist Erik Brynjolfsson found that AI has disproportionately reduced demand for inexperienced workers while experienced-worker demand has held steady or increased.
- The World Economic Forum projects AI will generate 170 million jobs globally but displace approximately 92 million, resulting in a net gain of 78 million positions.
The NY Fed Data Confirms a Structural Shift in Early-Career Employment
The Federal Reserve Bank of New York’s college labor market dashboard tracks employment outcomes for recent graduates nationally, using data extending back to 1990. The Q2 2026 update, which reflects conditions through June, confirmed that the unemployment rate for 22-to-27-year-olds with a bachelor’s degree or higher remained elevated at approximately 5.6%. That figure has barely moved from the 5.6% recorded in Q1 2026 and sits well above the broader national rate.
What makes the current reading unusual is not the raw number but its relationship to the overall labor market. For most of the past three decades, a college degree provided a measurable employment advantage over non-graduates within the same age group. That gap has compressed. The unemployment rate for 22-to-27-year-olds without four-year degrees fell to 7.2% in Q1 2026, down from 7.7% the previous quarter. The spread between graduates and non-graduates has narrowed to a margin that undercuts the traditional economic case for the degree as an employment shield.
The underemployment figure adds a second dimension to the problem. At 42%, it means that for every 100 recent graduates working, approximately 42 are in roles that do not require a bachelor’s degree at all. This includes positions in food service, retail, clerical administration, and other categories where the degree functions as neither a job requirement nor a meaningful credential. The NY Fed defines underemployment by matching job categories against U.S. Department of Labor survey data on whether a bachelor’s degree is typically needed to perform the work.
Hiring Volume Has Contracted While Competition for Entry-Level Roles Has Intensified
The supply side of the entry-level market has tightened sharply. Handshake, the recruiting platform that connects college students and recent graduates with employers, reported a 15% to 16% year-over-year decline in campus-focused job listings between August 2024 and August 2025. Over the same period, applications per posting rose 26% to 30%. Fewer openings are attracting significantly more applicants, compressing the odds for any individual candidate and creating a bottleneck at the bottom of the professional hiring pipeline.
The National Association of Colleges and Employers has projected a modest 5.6% increase in hiring for the Class of 2026, a rebound from earlier, more pessimistic forecasts. But that projection has not yet translated into a visible improvement in the NY Fed data. The gap between hiring intentions and actual employment outcomes reflects a market where employers are posting roles but filling them slowly, screening candidates more aggressively, and in some cases automating entry-level functions entirely rather than filling them with new hires.
A ZipRecruiter survey conducted earlier this year found that 47% of recent graduates believe AI has already affected hiring in their field. That perception tracks with structural changes in how companies are allocating headcount. Routine tasks traditionally assigned to junior employees, including data entry, report generation, scheduling, and preliminary research, have become candidates for automation as companies deploy AI tools across operational workflows.
AI Is Compressing Demand for Inexperienced Workers While Experienced Roles Hold Steady
Stanford University economist Erik Brynjolfsson, whose research uses payroll data to track AI’s labor market effects, has found that AI adoption since late 2022 has disproportionately reduced demand for inexperienced workers. Entry-level and junior roles in IT, finance, data analysis, and administrative functions have absorbed the largest share of displacement. Experienced workers, by contrast, have seen stable or rising demand, as companies place a higher premium on the judgment, institutional knowledge, and client relationships that AI tools cannot replicate.
The dynamic creates a paradox for recent graduates. The skills they trained for, particularly in fields like computer science, data analytics, and digital marketing, are precisely the categories where AI tools have made the most visible progress. A degree that once guaranteed entry into a stable career track now competes with software that can perform portions of the same work at lower cost and faster speed. Graduates are not losing to AI directly in most cases. They are losing to a hiring environment in which companies have decided that existing teams, augmented by AI, can absorb the work that would have gone to a new hire.
The World Economic Forum’s Future of Jobs Report projects that AI will generate approximately 170 million new jobs globally while displacing roughly 92 million existing positions, for a net gain of 78 million roles. That aggregate figure, however, does not address timing or distribution. The jobs being created tend to require specialized skills and experience. The jobs being displaced tend to be the entry-level and administrative roles that historically served as on-ramps for new graduates. The net gain is real in aggregate, but the transition period disproportionately affects the youngest workers entering the labor market.
Universities Are Responding, but the Structural Mismatch Persists
Institutions across the country have begun adjusting. Universities including the University of Michigan and campuses within the University of California system have reported increased demand for internship placements, resume workshops, and career services as students seek to differentiate themselves before graduation. Curricula are shifting toward practical skills, employer partnerships, and AI literacy, with the goal of producing graduates who can work alongside automated systems rather than compete against them.
BlackRock CEO Larry Fink, speaking publicly on the topic earlier this year, framed the challenge in generational terms, noting that the post-World War II pathway from college degree to white-collar career is being disrupted by AI at a speed that institutions have not yet matched. The observation points to a lag between the labor market’s structural evolution and the educational system’s capacity to respond. Graduates entering the workforce in 2026 trained under curricula designed before the current wave of AI deployment reshaped hiring norms. The graduates entering in 2028 or 2030 may face a different landscape, but the Class of 2026 is navigating the transition in real time.
The NY Fed’s data will update again in November, reflecting Q3 2026 conditions. Whether the unemployment and underemployment figures improve, hold, or deteriorate will depend on whether the modest hiring rebound projected by NACE materializes, whether AI adoption continues to consolidate entry-level roles, and whether the broader economy generates enough new positions to absorb a generation of graduates whose degrees are worth less on the job market than they were five years ago.
Disclaimer: This article is intended for informational purposes only and does not constitute financial, career, or investment advice. Labor market data cited in this article is sourced from publicly available federal research and may be subject to revision. Readers should consult the Federal Reserve Bank of New York’s college labor market dashboard and the Bureau of Labor Statistics for the latest official figures.
FAQs
What Is the Current Unemployment Rate for Recent College Graduates?
The Federal Reserve Bank of New York reported that the unemployment rate for college graduates ages 22 to 27 stood at approximately 5.6% through the second quarter of 2026. That figure exceeds the national unemployment rate of 4.1% and has remained elevated since early 2025, reversing a long-standing pattern in which a college degree provided a measurable employment advantage over non-graduates in the same age group.
What Does the 42% Underemployment Rate Mean?
The NY Fed defines underemployment as working in a job that typically does not require a bachelor’s degree. At 42%, nearly half of recent college graduates are employed in roles where their degree is not a functional requirement for the work being performed. This includes positions in retail, food service, clerical administration, and other categories that do not utilize the skills or knowledge a four-year degree is designed to develop.
Is AI Directly Replacing Entry-Level Jobs?
Research from Stanford economist Erik Brynjolfsson indicates that AI has disproportionately reduced employer demand for inexperienced workers, particularly in IT, finance, and data analysis. Rather than replacing workers outright in most cases, companies are using AI tools to augment existing teams, reducing the need to hire new graduates for tasks that automated systems can now handle. Experienced workers have seen stable or increased demand, creating a market that rewards prior experience more heavily than it did before widespread AI adoption.
