AI slows graduate hiring by up to 16 percent in routine jobs
New research from Anthropic shows employment for 22 to 25 year olds has fallen 3 to 16 percent in roles most exposed to AI. The hardest hit include programmers at 74.5 percent exposure, customer service at 70.1 percent, data entry at 67.1 percent, and analysts. The drop stems from companies hiring fewer people into these positions, not from layoffs. AI now handles many structured tasks that once filled graduate pipelines. The findings come from a March 2026 report analysing labour market shifts.
Graduate careers used to start in routine roles like data entry or basic analysis, where volume hiring built future talent pools despite high turnover. AI automation now cuts those entry points, slowing the pipeline and setting up mid-level shortages in five years. Grads who demonstrate skill with AI tools on less predictable tasks will fill the gap left by vanishing routine hires.
Analysis
List three routine tasks from job descriptions in your target roles, then use ChatGPT to build a portfolio project that automates one while adding a human insight AI misses.
Citation
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