Conduciendo hacia el mañana: El emprendimiento de vehículos automatizados

José Juan Vázquez Gómez

doi:10.61273/neyart.v3i3.116

Authors

José Juan Vázquez Gómez Banking and Commercial School

DOI:

https://doi.org/10.61273/neyart.v3i3.116

Keywords:

applied artificial intelligence, intelligent autonomous vehicles, social acceptance of technology, vehicle safety perception, regulation of automated mobility, technological entrepreneurship in mobility

Abstract

This document analyzes the impact and prospects of autonomous vehicles integrated with artificial intelligence (AI) in the coming years, exploring both barriers and opportunities associated with their development and adoption. Through a qualitative approach based on semi-structured interviews with experts and narrative analysis, three main challenges were identified: concerns about safety, the lack of clear regulations, and cultural resistance to this technology. These factors not only limit its acceptance but also highlight the need to foster user trust.

On the other hand, the study reveals key opportunities such as innovation in business models,

enhancing consumer education, and ensuring a labor transition that promotes technological skills. Additionally, a strategic model is proposed that integrates these elements, highlighting the relevance of adapted regulatory frameworks and multisectoral collaborations. This model aims not only to overcome current barriers but also to maximize growth, sustainability, and transformation opportunities in autonomous mobility. Autonomous vehicles represent a disruptive change in mobility and the automotive industry, whose success will depend on the ability to balance technological innovation with social, regulatory, and economic demands. This analysis provides a solid foundation for future strategies and public policies that encourage responsible development.

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Author Biography

José Juan Vázquez Gómez, Banking and Commercial School

Dr José Juan Vázquez holds a degree in Applied Mathematics and Computing from the National Autonomous University of Mexico, a Master of Business Administration in Finance from the Latin American University and a Doctorate in Administration from Iexpro University. His research focuses on Applied Artificial Intelligence, with an emphasis on its impact on business innovation, autonomous mobility and effective education. He teaches at the Banking and Commercial School in Mexico City and at the Tecnológico de Monterrey, where he combines academic research with practical experiences of high value for his students.

With more than 15 years of experience as a business and process consultant, he has led technology projects as a Project Manager in Mexico, the United States and various Latin American countries, participating in strategic initiatives for multinational organisations and the public sector.

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