Public Policies for Artificial Intelligence in Mexico
DOI:
https://doi.org/10.15648/legem.1.2025.4599Keywords:
Artificial intelligence, public policy, Industry 4.0, national strategy, digital transformation, technological governanceAbstract
This study aims to identify the main structural challenges that Mexico faces in adopting artificial intelligence (AI) in strategic productive sectors, as well as to propose guidelines for designing a national AI strategy with an industrial, ethical, and multisectoral approach. The methodology employed was a qualitative documentary design with an analytical-descriptive focus. A total of 78 sources were reviewed, including indexed scientific articles, reports from international organizations, and current legislation. No human participants were involved; the analysis focused on regulatory frameworks, institutional capacities, international indicators, and comparative experiences. The results reveal that Mexico lacks a national AI strategy, exhibits delays in digital infrastructure, low investment in R&D, limited technology adoption among SMEs, and the absence of specific regulations for AI. Nevertheless, the country possesses initial institutional strengths, a strategic geographic position, and general data protection frameworks that can serve as a foundation for technological development. Priority sectors identified include manufacturing, logistics, energy, and healthcare. In conclusion, Mexico urgently needs a national AI strategy that integrates comprehensive public policies, multisectoral participation, ethical governance, innovation financing, infrastructure strengthening, and labor reskilling. Only through this approach will it be possible to integrate AI into the country's productive structure, enhance its competitiveness, and ensure a fair and sustainable digital transition.
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Copyright (c) 2025 Carlos Gómez Díaz de León, Paulo César Lugo Rincón , Samuel Andrés Ibarra González
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