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AI Forces Labor Reset in Latin America

Employers are favoring demonstrable competencies over degrees as rapid skill shifts reshape pay and training.

Overview

  • Experts at a Tecnológico de Monterrey webinar on July 21–22 said the region is undergoing a labour 'reset' where continuous learning and AI tool use matter more than formal degrees.
  • PwC found that skills change 66% faster in occupations exposed to AI, that degree requirements fell for AI‑affected jobs between 2019 and 2024, and that AI‑focused job listings in Mexico grew at a 33.6% annual rate from 2021–2024.
  • Training gaps persist because many companies invest in upskilling but fail to build the right programs, with World Economic Forum data cited that 85% of firms invest in training while 65% say they still cannot develop needed talent.
  • Workers who combine AI tools with human skills such as critical thinking and communication can earn as much as 60% more than peers who do not use AI, creating a widening pay gap between early adopters and laggards.
  • Policy and employer responses that expand access to short, practical, work‑integrated training and that pair technical and soft skills could limit inequality and let historically excluded groups compete for better jobs.