Tecnoestrés laboral y agotamiento emocional en la era de la inteligencia artificial, nuevos desafíos para la seguridad y salud en el trabajo
Authors/Creators
- 1. Universidad de Guayaquil
- 2. IOP Consultoría Gestión y prevención de riesgos
-
3.
Universidad Casa Grande
Description
La incorporación acelerada de inteligencia artificial, automatización y sistemas de gestión algorítmica está modificando las demandas cognitivas, emocionales y organizacionales del trabajo, por lo que el tecnoestrés y el agotamiento emocional adquieren relevancia preventiva para la seguridad y salud ocupacional. El objetivo fue analizar la relación entre tecnoestrés laboral, agotamiento emocional e incorporación de inteligencia artificial, identificar mecanismos de riesgo y estructurar medidas preventivas aplicables a los sistemas de gestión. Se desarrolló una revisión narrativa estructurada, actualizada hasta septiembre de 2026, mediante literatura científica reciente y documentos de organismos internacionales y nacionales, con síntesis de 20 fuentes prioritarias y extracción de datos verificables para comparación. Los resultados muestran que sobrecarga, invasión, complejidad, inseguridad e incertidumbre tecnológica se combinan con intensificación, vigilancia algorítmica y pérdida de autonomía, mientras el apoyo organizacional, la capacitación, la participación y el diseño humano-céntrico funcionan como recursos protectores. La evidencia también confirma que la tecnología puede mejorar desempeño y seguridad cuando se implementa responsablemente. Se concluye que la prevención debe intervenir sobre la organización del trabajo e integrar la gobernanza de la inteligencia artificial a la gestión de riesgos psicosociales.
Abstract (English)
The accelerated adoption of artificial intelligence, automation, and algorithmic management systems is changing the cognitive, emotional, and organizational demands of work, making technostress and emotional exhaustion increasingly relevant to occupational safety and health prevention. The objective was to analyze the relationship between workplace technostress, emotional exhaustion, and artificial intelligence adoption, identify risk mechanisms, and structure preventive measures applicable to management systems. A structured narrative review updated through September 2026 was conducted using recent scientific literature and documents from international and national organizations, with a synthesis of 20 priority sources and extraction of verifiable data for comparison. Results show that overload, invasion, complexity, insecurity, and technological uncertainty interact with work intensification, algorithmic surveillance, and loss of autonomy, while organizational support, training, participation, and human-centered design act as protective resources. Evidence also confirms that technology can improve performance and safety when implemented responsibly. It is concluded that prevention should act on work organization and integrate artificial intelligence governance into psychosocial risk management.
Abstract (Portuguese)
A adoção acelerada de inteligência artificial, automação e sistemas de gestão algorítmica está modificando as demandas cognitivas, emocionais e organizacionais do trabalho, tornando o tecnoestresse e a exaustão emocional cada vez mais relevantes para a prevenção em segurança e saúde ocupacional. O objetivo foi analisar a relação entre tecnoestresse laboral, exaustão emocional e incorporação de inteligência artificial, identificar mecanismos de risco e estruturar medidas preventivas aplicáveis aos sistemas de gestão. Foi realizada uma revisão narrativa estruturada, atualizada até setembro de 2026, com literatura científica recente e documentos de organismos internacionais e nacionais, sintetizando 20 fontes prioritárias e extraindo dados verificáveis para comparação. Os resultados mostram que sobrecarga, invasão, complexidade, insegurança e incerteza tecnológica interagem com intensificação do trabalho, vigilância algorítmica e perda de autonomia, enquanto apoio organizacional, capacitação, participação e desenho centrado no ser humano atuam como recursos protetores. A evidência também confirma que a tecnologia pode melhorar desempenho e segurança quando implementada de forma responsável. Conclui-se que a prevenção deve atuar sobre a organização do trabalho e integrar a governança da inteligência artificial à gestão dos riscos psicossociais.
Files
TECNOE~1.PDF
Additional details
Additional titles
- Translated title (English)
- Workplace technostress and emotional exhaustion in the age of artificial intelligence: new challenges for occupational safety and health
- Translated title (Portuguese)
- Tecnoestresse e exaustão emocional no trabalho na era da inteligência artificial: novos desafios para a segurança e saúde ocupacional
Software
References
- World Health Organization. (2022). Guidelines on mental health at work. World Health Organization. https://www.who.int/publications/i/item/9789240053052 World Health Organization, & International Labour Organization. (2022). Mental health at work: Policy brief. World Health Organization and International Labour Organization. https://www.who.int/publications/i/item/9789240057944 Tabassi, E. (2023). Artificial intelligence risk management framework (AI RMF 1.0) (NIST AI 100-1). National Institute of Standards and Technology. https://doi.org/10.6028/NIST.AI.100-1 Organisation for Economic Co-operation and Development. (2023). OECD employment outlook 2023: Artificial intelligence and the labour market. OECD Publishing. https://doi.org/10.1787/08785bba-en Organisation for Economic Co-operation and Development. (2024). Using AI in the workplace: Opportunities, risks and policy responses. OECD Artificial Intelligence Papers, 11. OECD Publishing. https://doi.org/10.1787/73d417f9-en European Agency for Safety and Health at Work. (2024). Digital technologies at work and psychosocial risks: Evidence and implications for occupational safety and health. EU-OSHA. https://osha.europa.eu/sites/default/files/documents/Digitalisation-and-PSR_summary_EN.pdf Ministerio del Trabajo. (2024). Reglamento de Seguridad y Salud en el Trabajo: Decreto Ejecutivo No. 255. Gobierno del Ecuador. https://www.trabajo.gob.ec/reglamento-de-seguridad-y-salud-en-el-trabajo/ Kotek, M., & Vranjes, I. (2025). When do employees perceive technology as stressful? A meta-analysis of work-related technostress antecedents. Information & Management, 62(8), 104203. https://doi.org/10.1016/j.im.2025.104203 Mansuroğlu, E., & Smith, A. P. (2026). Technostress and employee well-being: A systematic review of empirical evidence. Computers in Human Behavior Reports, 21, 100941. https://doi.org/10.1016/j.chbr.2026.100941 Rademaker, T., Klingenberg, I., & Süß, S. (2025). Leadership and technostress: A systematic literature review. Management Review Quarterly, 75, 429–494. https://doi.org/10.1007/s11301-023-00385-x Bottaro, R., De Giovanni, K., & Faraci, P. (2024). The extent to which technostress is related to employees' work-life fit: A multilevel meta-analysis. Workplace Health & Safety, 72(10), 421–430. https://doi.org/10.1177/21650799241264317 Wirth, T., Kräft, J., Marquardt, B., Harth, V., & Mache, S. (2024). Indicators of technostress, their association with burnout and the moderating role of support offers among nurses in German hospitals: A cross-sectional study. BMJ Open, 14(7), e085705. https://doi.org/10.1136/bmjopen-2024-085705 Muhamad, N. A., Ma'amor, N. H., Jamalluddin, N. H., Rosli, I. A., Leman, F. N., Tengku Baharudin Shah, T. P. N., Misnan, N. S., Abdullah, N., Johari, M. Z., Chemi, N., Ibrahim, N., & Member of Technostress Study. (2025). Technostress and its associated factors: Burnout and fatigue among Malaysian healthcare workers (HCWs) in state hospitals. PLOS ONE, 20(3), e0319506. https://doi.org/10.1371/journal.pone.0319506 Buzeti, J., Dečman, M., & Kristl, N. (2026). Associations of work- and personal-life-related techno-stressors with emotional exhaustion, sickness absenteeism, and turnover intentions in public administration. Acta Psychologica, 266, 106772. https://doi.org/10.1016/j.actpsy.2026.106772 Wang, H., Ding, H., & Kong, X. (2022). Understanding technostress and employee well-being in digital work: The roles of work exhaustion and workplace knowledge diversity. International Journal of Manpower, 44(2), 334–353. https://doi.org/10.1108/IJM-08-2021-0480 Gabbiadini, A., Paganin, G., & Simbula, S. (2023). Teaching after the pandemic: The role of technostress and organizational support on intentions to adopt remote teaching technologies. Acta Psychologica, 236, 103936. https://doi.org/10.1016/j.actpsy.2023.103936 Lanzl, J. (2023). Social support as technostress inhibitor: Even more important during the COVID-19 pandemic? Business & Information Systems Engineering, 65, 329–343. https://doi.org/10.1007/s12599-023-00799-7 Cheng, Y., Cheng, W.-J., Lin, R.-T., Wang, Y.-T., & Ko, J.-J. R. (2024). Associations between labor control through digital platforms and workers' mental wellbeing: A survey of location-based platform workers in Taiwan. Safety and Health at Work, 15(4), 419–426. https://doi.org/10.1016/j.shaw.2024.08.003 Nilsson, K. H., Matilla-Santander, N., Lee, M. K., Brulin, E., Bodin, T., & Håkansta, C. (2025). Algorithmic management and occupational health: A comparative case study of organizational practices in logistics. Safety Science, 187, 106863. https://doi.org/10.1016/j.ssci.2025.106863 Kinowska, H., & Sienkiewicz, Ł. (2023). Influence of algorithmic management practices on workplace well-being – evidence from European organisations. Information Technology & People, 36(8), 21–42. https://doi.org/10.1108/ITP-02-2022-0079