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AI Is Reshaping Jobs With U.S. Entry-Level Losses as Mexico Sees Nearshoring Gains

Fresh evidence of entry-level losses aligns with forecasts of wide exposure to automation.

Overview

  • Stanford researchers report a 16% drop in U.S. jobs for 22–25-year-olds in AI-exposed sectors since late 2022, with entry-level programming roles down about 20%.
  • Mexico is adding non‑AI‑intensive roles through nearshoring in hubs such as Monterrey, Saltillo, Tijuana, Guadalajara and Querétaro, though investor concerns over a judicial reform could temper momentum under the T‑MEC framework.
  • Argentina shows high uptake of AI tools but faces skill shortages, precarious work and outdated labor rules, with 65% of employers citing a workforce skills gap as the top barrier to transformation.
  • Global baselines point to both risk and opportunity: the ILO estimates 25% of employment is in occupations potentially affected by AI and 3.3% of jobs are at risk, while WEF surveys project 78 million net jobs created from 2025 to 2030 if reskilling succeeds.
  • Media coverage notes that ChatGPT suggests several routine occupations could largely disappear within five years, including call‑center operators, cashiers, postal mail carriers, receptionists and basic text editors.