The influence of artificial intelligence on the development of jobs of the future

Authors

  • Jorge Alejandro Lozano Castorena Universidad Autónoma de Nuevo León image/svg+xml
  • Arturo Torres Bugdud Universidad Autónoma de Nuevo León image/svg+xml
  • María Blanca Elizabeth Palomares Ruiz Universidad Autónoma de Nuevo León image/svg+xml
  • Cesar Sordia Salinas Universidad Autónoma de Nuevo León image/svg+xml

DOI:

https://doi.org/10.29105/mdi.v14i24.365

Keywords:

artificial intelligence, automation, jobs, transformation, skills

Abstract

This research analyzes the influence of artificial intelligence on the transformation of future jobs and the optimization of administrative processes within an organization, specifically in complaint assignment. The central problem lies in the inefficiency of traditional methods, which generate errors, delays, and increased operational costs. Methodologically, the study was conducted under a descriptive and analytical approach, using a non-experimental and documentary design based on the review of specialized literature and organizational context analysis.

The results show that the implementation of artificial intelligence improves accuracy, reduces human error, and enhances decision-making processes, while also transforming the labor market by replacing routine tasks and creating new roles that require advanced technological skills. It is concluded that artificial intelligence does not eliminate employment but redefines it, representing a strategic tool for organizational efficiency, although its implementation requires workforce training and adaptation processes.

Author Biographies

Jorge Alejandro Lozano Castorena, Universidad Autónoma de Nuevo León

Facultad de Ingeniería Mecánica y Eléctrica, Estudiante.

Arturo Torres Bugdud, Universidad Autónoma de Nuevo León

Profesor de Tiempo Completo en la Facultad de Ingeniería Mecánica y Eléctrica de la Universidad Autónoma de Nuevo León, Nuevo León, México.

María Blanca Elizabeth Palomares Ruiz, Universidad Autónoma de Nuevo León

Profesora de Tiempo Completo en la Facultad de Ingeniería Mecánica y Eléctrica de la Universidad Autónoma de Nuevo León, Nuevo León, México.

Cesar Sordia Salinas, Universidad Autónoma de Nuevo León

Profesor de Tiempo Completo en la Facultad de Ingeniería Mecánica y Eléctrica de la Universidad Autónoma de Nuevo León, Nuevo León, México.

References

Brynjolfsson, E., & McAfee, A. (2017). Machine, platform, crowd: Harnessing our digital future. W. W. Norton & Company.

Davenport, T. H., & Ronanki, R. (2018). Artificial intelligence for the real world. Harvard Business Review, 96(1), 108–116.

Education, I. C. o. T. F. O. (2021). Reimagining our futures together: a new social contract for education. En UNESCO eBooks. https://doi.org/10.54675/asrb4722

Matas, A. (2018). Diseño del formato de escalas tipo Likert: un estado de la cuestión. Revista Electrónica de Investigación Educativa, 20(1), 38-47. https://doi.org/10.24320/redie.2018.20.1.1347

Sampieri, R. H., Collado, C. F., Lucio, P. B., Valencia, S. M., & Torres, C. P. M. (2014). Metodología de la investigación.

Published

2026-11-01

How to Cite

Lozano Castorena, J. A., Torres Bugdud, A., Palomares Ruiz, M. B. E., & Sordia Salinas, C. (2026). The influence of artificial intelligence on the development of jobs of the future. Multidisciplinas De La Ingeniería, 14(24), 11–18. https://doi.org/10.29105/mdi.v14i24.365