Why AI Threatens Entry-Level Work and What Must Change Now

AI’s rapid diffusion has not yet triggered headline‑grabbing mass layoffs, but a subtler shift is emerging. The most exposed cohort—workers aged 22‑25 in AI‑intensive roles—has seen ↓ 16% employment relative to peers, according to a Stanford Digital Economy Lab working paper (Nov 2025). Early‑career hiring is the first casualty.

AI’s Silent Erosion of Entry-Level Work

Anthropic’s March 2026 brief reports a similar contraction, while the Federal Reserve Bank of New York notes that recent‑graduate unemployment climbed to ↓ 5.6% and underemployment surged to 42.5% in Q4 2025. Reuters and Bloomberg have flagged the broader slowdown, yet the AI‑driven squeeze on junior tasks is distinct.

“Firms are substituting generative‑AI for the routine coding, triage and drafting that once formed the apprenticeship of a career,” says Georgios Petropoulos, USC Marshall.

Rethinking Training, Incentives, and Hiring

Universities must embed AI literacy, prompt engineering, and verification into every curriculum. Governments should roll out tax credits and wage subsidies that reward employers for pairing novices with AI‑augmented workflows. Companies, meanwhile, need to view junior staff as long‑term capital rather than a short‑term cost centre; the senior AI‑savvy workforce of 2035 will be drawn from today’s entry‑level cohort.

For graduates, the new imperative is clear: master AI tools, then layer them with domain judgment, relational acumen, and ethical awareness. The era of “learn to code” as a universal ticket is fading; supervising AI outputs is the emerging core competence.

Reported by Nathaniel Reed (Wealth Management Correspondent).