Data study ·
AI is losing its value as a salary differentiator
Original title, in Spanish: “La IA está perdiendo valor como diferenciador en salarios”
- Publication
- El Economista (México) (Mexico)
- Author
- Nancy Escutia
- Published on
- 11 September 2026 · read in the page structured data
Summary
According to Michael Page's Guía Salarial 2027, presented by its managing director Fabio Zapata, proficiency in generative AI is now seen as a basic skill and no longer guarantees a higher salary. While 44 to 52% of Mexican professionals believe that mastering AI justifies higher pay, only 14% of companies use this criterion. Companies pay more for highly specialised profiles able to transform processes. Generative AI adoption among Mexican professionals rose from 26% in 2024 to 37% in 2025 and then 65% in 2026, but remains largely self-taught: only 11% of companies offer AI training, a quarter prefer to hire profiles that already have the skills, and 7 in 10 companies cite the shortage of qualified profiles as their main challenge.
Summary based on the full text of the article.
Read the article on El Economista (México) →Figures cited
-
44 %
share of Mexican professionals who believe that mastering AI justifies a higher salary (lower bound)
professionals in Mexico, Michael Page Guía Salarial 2027
« entre el 44% y el 52% de los profesionales en México cree que dominar la IA justifica un salario más alto »
Source: Guía Salarial 2027 de Michael Page
-
52 %
share of Mexican professionals who believe that mastering AI justifies a higher salary (upper bound)
professionals in Mexico, Michael Page Guía Salarial 2027
« entre el 44% y el 52% de los profesionales en México cree que dominar la IA justifica un salario más alto »
Source: Guía Salarial 2027 de Michael Page
-
14 %
share of companies that consider AI expertise a salary differentiator
companies in Mexico, Michael Page Guía Salarial 2027
« en las empresas sólo 14% considera este aspecto como un criterio para diferenciar salarios »
Source: Guía Salarial 2027 de Michael Page
-
26 %
share of Mexican professionals adopting generative AI in 2024
professionals in Mexico, 2024, Michael Page Guía Salarial
« en 2024 abarcaba al 26% del talento »
Source: Guía Salarial de Michael Page
-
37 %
share of Mexican professionals adopting generative AI in 2025
professionals in Mexico, 2025, Michael Page Guía Salarial
« para 2025 subió a 37% »
Source: Guía Salarial de Michael Page
-
65 %
share of Mexican professionals adopting generative AI in 2026
professionals in Mexico, 2026, Michael Page Guía Salarial
« en 2026 se ubicó en el 65 por ciento »
Source: Guía Salarial de Michael Page
-
11 %
share of companies that include AI tools as a training benefit
companies in Mexico, Michael Page Guía Salarial 2027
« solo el 11% incorpora herramientas de IA como beneficio de capacitación »
Source: Guía Salarial 2027 de Michael Page
-
25 %
share of companies that prefer to hire profiles that already have AI skills
companies in Mexico, Michael Page Guía Salarial 2027
« una cuarta parte prefiere contratar perfiles que ya posean la habilidad »
Source: Guía Salarial 2027 de Michael Page
-
70 %
share of companies for which the shortage of qualified profiles is the main challenge
companies in Mexico, Michael Page Guía Salarial 2027
« para siete de cada 10 empresas la escasez de perfiles calificados es su principal desafío »
Source: Guía Salarial 2027 de Michael Page
Classification
- Country
- Mexico
- Company size
- All sizes
- Industries
- All industries, or industry not specified
- Companies
- Michael Page (study author)
- Keywords
- salaries, generative ai, skills, labour market, training, talent shortage
Entry written by Marsanne Studio from the cited article, with the help of an AI model (claude-sonnet-5). The rights to the article and its illustrations belong to El Economista (México) and its author. Entry translated from French by Claude Sonnet 5.5.