College graduates between the ages of 22 and 27 faced an unemployment rate of 5.7% as of June 2026, according to the Federal Reserve Bank of New York — a full percentage point higher than the same cohort two years earlier and significantly above the national average.
The numbers underscore a deepening difficulty for entry-level job seekers, many of whom are navigating a hiring process increasingly mediated by automated screening systems before any human ever reviews their application.
Sixty-six percent of recruiters said at the start of 2026 that they planned to increase their use of AI for pre-screening interviews, according to LinkedIn research. Meanwhile, 81% of job seekers said they had used or planned to use AI in their own job search, reflecting how both sides of the market are adapting to the same technology.
The underemployment rate — the share of college graduates working in jobs that do not require a bachelor's degree — has reached 42% for recent graduating classes, compared with 33.7% for all college graduates.
Michela DiLorenzo, a student at Seton Hall and editor at The Setonian who has covered career sentiment on her campus, told CNBC that the technology is reshaping how students approach their futures after graduation. "AI is really changing the motivation that students have going into the job market. It's changing the hiring process, how people are formatting their resumes and just overall, how students are approaching life post-grad," DiLorenzo said.
Her reporting documented the scale of the frustration firsthand. One student received only two interviews after submitting 50 applications. Another applied to as many as 150 jobs, describing the process as impersonal and discouraging.
On the supply side, students are adjusting. Handshake, an early-career platform that has worked with OpenAI on tools to expand student technical skills, found that graduating seniors in 2026 mentioned AI skills on their resumes at twice the rate of the class of 2022. Its analysis showed that 74% of those mentions were tied to real-world projects rather than coursework — a signal that students are attempting to demonstrate applied experience rather than simply listing a buzzword.
"The data tells us that early talent isn't being displaced by AI — they're being amplified by it," Handshake wrote in a blog post. "In an AI-driven workforce, resumes alone aren't enough."
Employer demand for those skills is also rising, though not uniformly. The National Association of Colleges and Employers found that AI proficiency appeared in 16.5% of job descriptions in spring 2026, up from 10.5% the previous fall. Overall, 28% of employers said they are seeking early-career candidates who can use AI in their work.
Yet a notable share of new graduates remain skeptical. In NACE's 2026 Student Survey, close to one-third of graduating seniors said AI skills would be "of little or no importance to their future career." More than half said they were neither building AI skills nor using AI in their job search.
NACE president and CEO Shawn VanDerziel described the divergence as a "striking disconnect." "Employers are increasingly asking graduates to be ready for AI, while a significant portion of students are asking whether AI deserves a place in their work at all," VanDerziel stated in the research release.
The Fed's own research cautions against drawing firm conclusions about AI's role in the broader hiring slowdown. Based on its analysis of job postings, the NY Fed wrote that "while AI may be contributing to recent labor market developments, it is not the main driver of the slowdown in hiring." Its employer survey found companies "mostly intend to incorporate AI mainly via retraining, with limited effects on hiring."
The disconnect between that macro finding and the individual experience of young job seekers suggests that aggregate data may be obscuring real friction at the entry level — friction that employers and graduates alike are still working to resolve.