New research tracking AI’s early footprint on graduate employment finds hiring declines for young workers in occupations most disrupted by AI. In a March 2026 analysis cited in the report, researchers matched AI exposure measures against Bureau of Labor Statistics employment projections through 2034 and found that higher AI task coverage correlates with slower job growth. The study reports that hiring of workers aged 22 to 25 in the most exposed fields dropped roughly 14% after ChatGPT’s release, even as broader unemployment levels stayed steady in those jobs. The report also tracks how AI is used in practice, noting that overall AI task coverage in key fields is far below theoretical “up to 90%” task automation estimates. Higher education leaders are explicitly flagged in the reporting: slowed hiring of recent graduates affects program planning and curriculum alignment, especially as student intentions shift. The story cites Gallup survey results showing more than 40% of bachelor’s degree students had considered changing majors due to AI job-market concerns. For academic planning teams, the immediate implication is tighter feedback loops between enrollment strategy and labor-market signals—along with faster program redesign cycles.