<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2992-7870</journal-id>
<journal-title><![CDATA[Portes. Revista mexicana de estudios sobre la Cuenca del Pacífico]]></journal-title>
<abbrev-journal-title><![CDATA[Portes. rev. mex. estud. cuen. pac]]></abbrev-journal-title>
<issn>2992-7870</issn>
<publisher>
<publisher-name><![CDATA[Universidad de Colima]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2992-78702026000100229</article-id>
<article-id pub-id-type="doi">10.53897/revportes.2026.06.09</article-id>
<title-group>
<article-title xml:lang="es"><![CDATA[El impacto de la inteligencia artificial en los niveles educativos, productividad y remuneraciones de la industria manufacturera mexicana]]></article-title>
<article-title xml:lang="en"><![CDATA[The Impact of Artificial Intelligence on Educational Levels, Productivity, and Wages in the Mexican Manufacturing Industry]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Reyes Soto]]></surname>
<given-names><![CDATA[Joana Elizabeth]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Vázquez Pérez]]></surname>
<given-names><![CDATA[Darina Yaneth]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Polanco Gaytán]]></surname>
<given-names><![CDATA[Mayrén]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Universidad de Colima  ]]></institution>
<addr-line><![CDATA[ Colima]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Universidad de Colima  ]]></institution>
<addr-line><![CDATA[ Colima]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Universidad de Colima  ]]></institution>
<addr-line><![CDATA[ Colima]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>06</month>
<year>2026</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>06</month>
<year>2026</year>
</pub-date>
<volume>3</volume>
<numero>6</numero>
<fpage>229</fpage>
<lpage>259</lpage>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2992-78702026000100229&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2992-78702026000100229&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2992-78702026000100229&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Este artículo analiza el impacto de la incorporación de la inteligencia artificial (IA) en la productividad y las remuneraciones de la industria manufacturera mexicana durante el periodo 2019-2022. Utilizando un modelo de panel dinámico con el Método Generalizado de Momentos (GMM) se examinan 79 ramas del sector, considerando también las diferencias por género y nivel educativo. La investigación revisa la evolución de la industria en relación con la adopción tecnológica, e identifica cómo las ramas tecnológicas avanzadas muestran crecimiento en empleo, salarios y uso de tecnología, mientras que los sectores tradicionales enfrentan rezagos que los hacen vulnerables a la automatización y la competencia internacional. La literatura analizada destaca que la digitalización y la IA alteran la demanda de habilidades y pueden profundizar desigualdades, especialmente en género y formación. Los resultados muestran que la integración de IA ha contribuido a mejorar la productividad en ciertas ramas, pero también ha generado una polarización en los niveles salariales y en la participación laboral de mujeres y hombres. La conclusión subraya la importancia de políticas que fomenten la capacitación y la inclusión laboral, promoviendo la igualdad salarial y la adaptación de la fuerza de trabajo ante los avances tecnológicos. El estudio ofrece aportes relevantes para formuladores de políticas, empresas y académicos interesados en entender los efectos de la IA en un contexto de transformación industrial y social en México.]]></p></abstract>
<abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This article examines the impact of artificial intelligence (AI) adoption on productivity and wages in the Mexican manufacturing industry from 2019 to 2022. Employing a dynamic panel model with the Generalized Method of Moments (GMM), the analysis considers 79 industry branches, with attention to gender and educational disparities. The research reviews the evolution of the sector regarding technological adoption, highlighting how advanced technological branches exhibit growth in employment, wages, and technology use, whereas traditional sectors face structural setbacks that render them vulnerable to automation and international competition. The literature reviewed emphasizes that digitalization and AI are reshaping skill demands and can exacerbate inequalities, particularly related to gender and education levels. Results indicate that AI integration has contributed to productivity gains in certain branches, but also led to polarization in wage levels and participation rates among women and men. The conclusion stresses the necessity for policies that promote workforce training and inclusive employment practices, fostering salary equity and workforce adaptation in the face of technological progress. The findings provide valuable insights for policymakers, businesses, and scholars interested in understanding the socio-economic effects of AI-driven technological transformation within Mexico&#8217;s industrial landscape.]]></p></abstract>
<kwd-group>
<kwd lng="es"><![CDATA[Industria 4.0]]></kwd>
<kwd lng="es"><![CDATA[Productividad laboral]]></kwd>
<kwd lng="es"><![CDATA[Inteligencia Artificial]]></kwd>
<kwd lng="en"><![CDATA[Industry 4.0]]></kwd>
<kwd lng="en"><![CDATA[Labor productivity]]></kwd>
<kwd lng="en"><![CDATA[Artificial Intelligence]]></kwd>
</kwd-group>
</article-meta>
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