The unemployment rate for recent college graduates rose to 5.7% in June 2026, exceeding the national worker average of 4.1%, according to data from the Federal Reserve Bank of New York. While a ZipRecruiter survey indicates that 47% of recent graduates believe artificial intelligence (AI) has already impacted hiring in their fields, economists remain divided on whether the technology is the primary driver of this trend.
The debate follows the late 2022 release of large language models like ChatGPT, which are trained on codified knowledge similar to the information learned by students in degree programs. Some job seekers, including graduates from Georgia Tech and Florida State University, reported submitting between 450 and 500 applications over several months without receiving job offers, citing concerns that AI can perform entry-level tasks more efficiently.
Stanford University economist Erik Brynjolfsson reported that early-career workers ages 22 to 25 in AI-exposed roles, such as software developers and marketing managers, have seen a 16% relative decline in employment since late 2022. However, other researchers point to different factors. Harvard University economist David Deming noted that the decline in junior hiring began six months before the release of ChatGPT, suggesting that the rise of remote work is the more likely cause. A New York Fed analysis supported this, finding companies are less inclined to hire inexperienced workers for remote roles due to training difficulties.
The shift in hiring practices could have long-term consequences for how entry-level workers are integrated into the economy. If companies continue to prefer senior staff for remote positions or use AI to automate tasks typically assigned to junior employees, the traditional path for gaining "tacit knowledge" or on-the-job experience may be disrupted. This could lead to a persistent gap where new graduates struggle to find the initial roles required to eventually qualify for senior-level positions, potentially impacting the labor market for years as this cohort ages.
What happens next remains uncertain as technology evolves. While current data from Ramp and Revelio Labs shows that heavy users of AI tools actually increased entry-level headcount by 12% over two years, a group of economists and tech executives signed an open letter in July 2026 warning of potential widespread job displacement. Economists suggest that while AI may eventually be a net positive for productivity, the transition period will be characterized by economic transformation and continued shifts in how and where junior employees are hired.