3.27 Million Urban Workers in Colombia Are in Occupations Vulnerable to AI
48.1% of people with jobs in the 23 main cities and metropolitan areas of Colombia work in activities with high exposure to artificial intelligence, although that figure does not mean that those jobs are going to disappear. That was the main conclusion of the early warning technical report “Artificial intelligence, adaptability, and labor conversion”, prepared […]
In Colombia, approximately 3.27 million urban workers are in occupations susceptible to artificial intelligence (AI), according to the early warning technical report "Artificial intelligence, adaptability, and labor conversion" by the Colombian Association of Capital Cities (Asocapitales). Women and young people are particularly vulnerable due to their involvement in these occupations and entry-level jobs.
While AI exposure does not imply job loss, it signifies that a significant portion of these roles can be enhanced by incorporating AI tools. The report identifies administrative tasks, customer service, BPO, accounting, financial services, document review, basic content production, and initial programming as the most exposed sectors.
In Bogota, 28.7% of employed individuals fall under high exposure and low complementarity categories, followed by Manizales with 27.9% and Cali with 26.6%. Bogota has become a benchmark for international organizations assisting cities in preparing for AI. The report suggests a two-pronged approach: improving workers' adaptability through training and enhancing their skills to utilize AI effectively, and implementing targeted labor conversion programs for those whose roles may be affected by technological advancements.
Cities have a 24-36 month window to develop their response strategies, including building local labor risk maps, partnering with productive sectors, and initiating training programs. Asocapitales also proposes establishing a National System of Adaptability, Anticipation, and Labor Conversion to aid in the transition.
Written by urgent.news from Colombia One's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.