Transformaciones del trabajo digital: inteligencia artificial y community manager en la economía gig. Una revisión sistemática de literatura
DOI:
https://doi.org/10.58763/rc2026589Palabras clave:
Economía gig, Community Manager, Inteligencia Artificial, Plataformas digitales, Trabajo IndependienteResumen
Introducción: La expansión de la economía gig y la incorporación de inteligencia artificial han transformado el trabajo digital del community manager, al modificar sus funciones, competencias, condiciones laborales y márgenes de autonomía. El estudio analizó estas transformaciones e identificó patrones y vacíos en la literatura. Metodología: Se realizó una revisión sistemática cualitativa, descriptivo-analítica e interpretativa, guiada por PRISMA. Se buscaron artículos en Scopus y Google Académico, publicados entre 2015 y 2024, en español o inglés. De 134 registros iniciales, 50 estudios conformaron el corpus final. La calidad se evaluó mediante coherencia conceptual, claridad metodológica, relevancia temática y contribución teórica. La síntesis se efectuó mediante codificación temática inductiva. Resultados: La inteligencia artificial automatiza tareas rutinarias, como redacción básica, respuestas estandarizadas y producción elemental de contenidos, mientras desplaza el valor hacia el análisis, la supervisión, la curaduría y la estrategia. Paralelamente, aumentan la presión por disponibilidad, la dependencia reputacional, la transferencia de riesgos y la exposición a sistemas algorítmicos opacos. La gobernanza algorítmica condiciona la visibilidad, la evaluación y la asignación de oportunidades. Conclusiones: La inteligencia artificial redefine, pero no elimina, el rol del community manager. Su sostenibilidad depende de formación continua, transparencia algorítmica y marcos regulatorios con protección y apelación efectivas.
Citas
Alvarez de la Vega, J., E. Cecchinato, M., & Rooksby, J. (2021). “Why lose control?” A Study of Freelancers’ Experiences with Gig Economy Platforms. Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3411764.3445305
Arriagada, A., Bonhomme, M., Ibáñez, F., & Leyton, J. (2023). The gig economy in Chile: Examining labor conditions and the nature of gig work in a Global South country. Digital Geography and Society, 5, 100063. https://doi.org/10.1016/j.diggeo.2023.100063
Basavaraj, N., Foutz, N. Z., & Li, B. (2023). Resilience of gig economy during economic downturn: Insights from location big data. https://doi.org/10.2139/ssrn.4553546
Blázquez, M., Herrarte, A., & Moro-Egido, A. I. (2024). Well-being effects of the digital platform economy: the case of temporary and self-employment. Technological and economic development of economy, 30(6), 1618–1651. https://doi.org/10.3846/tede.2024.21858
Bulian, L. (2021). The gig is up: Who does gig economy actually benefit? Interdisciplinary Description of Complex Systems, 19(1), 106–119. https://doi.org/10.7906/indecs.19.1.9
Celentano, D. (2023). ‘Be your own boss’? Normative concerns of algorithmic management in the gig economy: reclaiming agency at work through algorithmic counter-tactics. Philosophy & Social Criticism, 51(7), 1114-1137. https://doi.org/10.1177/01914537231215680
Contreras Fernández, A. B. (2020). Papel estratégico de la gestión de “nuevos” riesgos. En Enfoques y gestión en seguridad integral (pp. 129–160). Escuela de Posgrados - FAC. https://doi.org/10.18667/9789585996199.05
Davies, A. C. L. (2020). Wages and working time in the ‘gig economy’. King's Law Journal, 31(2), 250-259. https://doi.org/10.1080/09615768.2020.1790820
Demirci, O., Hannane, J., & Zhu, X. (2025). Who is AI replacing? The impact of generative AI on online freelancing platforms. Management Science, 71(10), 8097–8108. https://doi.org/10.1287/mnsc.2024.05420
Do, K., De Los Santos, M., Muller, M., & Savage, S. (2024). Designing Gig Worker Sousveillance Tools. In Proceedings of the CHI Conference on Human Factors in Computing Systems (pp. 1-19). https://doi.org/10.1145/3613904.3642614
Duggan, J., Carbery, R., McDonnell, A., & Sherman, U. (2023). Algorithmic HRM control in the gig economy: The app‐worker perspective. Human Resource Management, 62(6), 883–899. https://doi.org/10.1002/hrm.22168
Eloundou, T., Manning, S., Mishkin, P., & Rock, D. (2024). GPTs are GPTs: Labor market impact potential of LLMs. Science (New York, N.Y.), 384(6702), 1306–1308. https://doi.org/10.1126/science.adj0998
Fierro-Moreno, E. (2021). La gestión del cambio, la colaboración virtual y la agilidad estratégica organizacional de empresas mexicanas ante los impactos por el COVID-19. Nova Scientia, 13. https://doi.org/10.21640/ns.v13ie.2762
Fiers, F. (2024). Resilience in the gig economy: digital skills in online freelancing. Journal of Computer-Mediated Communication: JCMC, 29(5), zmae014. https://doi.org/10.1093/jcmc/zmae014
Flores-Jaramillo, S., & Trabadela-Robles, J. (2023). Community manager en centros educativos de infantil y primaria. Un estudio de caso. Revista Latinoamericana De Tecnología Educativa - RELATEC, 22(1), 173-189. https://doi.org/10.17398/1695-288x.22.1.173
Fulker, Z., & Riedl, C. (2024). Cooperation in the gig economy: Insights from Upwork freelancers. Proceedings of the ACM on Human-Computer Interaction, 8(CSCW1), 1–20. https://doi.org/10.1145/3637314
Shaji George, A., Hovan George, A. S., & Gabrio Martin, A. S. (2023). ChatGPT and the Future of Work: A Comprehensive Analysis of AI's Impact on Jobs and Employment. Partners Universal International Innovation Journal, 1(3), 154-186. https://doi.org/10.5281/zenodo.8076921
Jiménez, A., Romero, R., & Thabet, D. (2023). Diagnóstico para la implementación de un sistema de gestión de seguridad y salud en el trabajo en el sector de la construcción. Técnica administrativa, 22(93), 4.
Kadolkar, I., Kepes, S., & Subramony, M. (2024). Algorithmic management in the gig economy: A systematic review and research integration. Journal of Organizational Behavior, 46(7), 1057–1080. https://doi.org/10.1002/job.2831
Kellogg, K. C., Valentine, M. A., & Christin, A. (2020). Algorithms at work: The new contested terrain of control. Academy of Management Annals, 14(1), 366–410. https://doi.org/10.5465/annals.2018.0174
Khan, A. N., & Khan, N. A. (2024). The gig economy’s secret weapon: ChatGPT. Technological Forecasting and Social Change, 209, 123808. https://doi.org/10.1016/j.techfore.2024.123808
Kemp, S. (2024). Digital 2024: Global overview report. DataReportal – Global Digital Insights. https://datareportal.com/reports/digital-2024-global-overview-report
Kerikmäe, T., Kajander, A., Gil, M. G., & CIDOB. (2022). hacia un cambio en su clasificación jurídica. Revista CIDOB d Afers Internacionals, (131), 117–140. https://www.jstor.org/stable/27186237
Kinder, E., Jarrahi, M. H., & Sutherland, W. (2019). Gig platforms, tensions, alliances and ecosystems: An actor-network perspective. Proceedings of the ACM on Human-Computer Interaction, 3(CSCW), 1–26. https://doi.org/10.1145/3359314
Kuhn, K. M., Meijerink, J., & Keegan, A. (2021). Human resource management and the gig economy: Challenges and opportunities at the intersection between organizational HR decision-makers and digital labor platforms. In Research in Personnel and Human Resources Management (pp. 1–46). Emerald Publishing Limited. https://doi.org/10.1108/s0742-730120210000039001
Lancaster, T. (2024). The Gig’s Up: How ChatGPT Stacks Up Against Quora on Gig Economy Insights.
Lata, L. N., Burdon, J., & Reddel, T. (2023). New tech, old exploitation: Gig economy, algorithmic control and migrant labour. Sociology Compass, 17(1), e13028. https://doi.org/10.1111/soc4.13028
Lehdonvirta, V., Kässi, O., Hjorth, I., Barnard, H., & Graham, M. (2019). The global platform economy: A new offshoring institution enabling emerging-economy microproviders. Journal of Management, 45(2), 567–599. https://doi.org/10.1177/0149206318786781
López Estupiñán, A. M., & Peña Mesa, L. (2023). Inteligencia Artificial: el futuro del empleo. Revista Lecciones Vitales, lv0103. https://doi.org/10.18046/rlv.2023.6118
Liu, J., Xu, X., Nan, X., Li, Y., & Tan, Y. (2023) "Generate" the Future of Work through AI: Empirical Evidence from Online Labor Markets. https://doi.org/10.2139/ssrn.4529739
Liu, R., & Yin, H. (2024). How algorithmic management influences gig workers’ job crafting. Behavioral Sciences, 14(10), 952. https://doi.org/10.3390/bs14100952
Mañas-Viniegra, L., & Jiménez-Gómez, I. (2019). Evolución del perfil profesional del community manager durante la década 2009-2018. Profesional de la información, 28(4). https://doi.org/10.3145/epi.2019.jul.03
Martín García, A. (2021). Análisis de la figura del community manager como voz de las marcas en las redes sociales. Universidad de Valladolid. https://doi.org/10.35376/10324/52084
Muldoon, J., & Raekstad, P. (2023). Algorithmic domination in the gig economy. European Journal of Political Theory: EJPT, 22(4), 587–607. https://doi.org/10.1177/14748851221082078
Newlands, G. (2021). Algorithmic surveillance in the gig economy: The organization of work through lefebvrian conceived space. Organization Studies, 42(5), 719–737. https://doi.org/10.1177/0170840620937900
Peetz, D. (2019). Digitalisation and the Jobs of the Future. En The Realities and Futures of Work (pp. 83-112). ANU Press. https://doi.org/10.22459/rfw.2019
Pilatti, G. R., Pinheiro, F. L., & Montini, A. A. (2024). Systematic literature review on gig economy: Power dynamics, worker autonomy, and the role of social networks. Administrative Sciences, 14(10), 267. https://doi.org/10.3390/admsci14100267
Reljic, J., Evangelista, R., & Pianta, M. (2025). Digital technologies, employment, and skills. Industrial and Corporate Change, 34(3), 385–406. https://doi.org/10.1093/icc/dtab059
Rosales-Veítia, J. (2021). Evolución histórica de la concepción de la gestión de riesgos de desastres: algunas consideraciones. Revista Kawsaypacha: Sociedad y Medio Ambiente, (7), 67–81. https://doi.org/10.18800/kawsaypacha.202101.004
Sannon, S., Sun, B., & Cosley, D. (2022). Privacy, surveillance, and power in the gig economy. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (pp. 1-15). https://doi.org/10.1145/3491102.3502083
Sum, C. M., Shi, C., & Fox, S. E. (2025). “it’s always a losing game”: How workers understand and resist surveillance technologies on the job. Proceedings of the ACM on Human-Computer Interaction, 9(2), 1–32. https://doi.org/10.1145/3710902
Tan, Z. M., Aggarwal, N., Cowls, J., Morley, J., Taddeo, M., & Floridi, L. (2021). The ethical debate about the gig economy: A review and critical analysis. Technology in Society, 65, 101594. https://doi.org/10.1016/j.techsoc.2021.101594
Teutloff, O., Einsiedler, J., Kässi, O., Braesemann, F., Mishkin, P., & del Rio-Chanona, R. M. (2025). Winners and losers of generative AI: Early Evidence of Shifts in Freelancer Demand. Journal of Economic Behavior & Organization, 235, 106845. https://doi.org/10.1016/j.jebo.2024.106845
Vallas, S., & Schor, J. B. (2020). What do platforms do? Understanding the gig economy. Annual Review of Sociology, 46, 273–294. https://doi.org/10.1146/annurev-soc-121919-054857
van Doorn, N. (2024). The contingencies of platform power and risk management in the gig economy. Internet Policy Review, 13(2). https://doi.org/10.14763/2024.2.1778
van Doorn, N., & Vijay, D. (2024). Gig work as migrant work: The platformization of migration infrastructure. Environment and Planning A: Economy and Space, 56(4), 1129–1149. https://doi.org/10.1177/0308518x211065049
van Slageren, J., & Herrmann, A. M. (2024). Skill specificity on high-skill online gig platforms: Same as in traditional labour markets? Social Forces, 102(4), 1332–1351. https://doi.org/10.1093/sf/soad153
Whalley, J., Stocker, V., & Lutz, C. (2024). A platform for doers? Fiverr and the gig economy. https://doi.org/10.2139/ssrn.4800456
Wood, A., & Lehdonvirta, V. (2021). Antagonism beyond employment: how the ‘subordinated agency’ of labour platforms generates conflict in the remote gig economy. Socio-Economic Review, 19(4), 1369–1396. https://doi.org/10.1093/ser/mwab016
Yu, J., & Abdul Hamid, R. (2024). Gig workers’ psychological contracts and turnover intention: A mediated path analysis of organizational identification and job satisfaction. Acta Psychologica, 251, 104587. https://doi.org/10.1016/j.actpsy.2024.104587
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