“Ask ChatGPT”: Generative Artificial Intelligences in Digital Capitalism

Authors

DOI:

https://doi.org/10.24215/26183188e142

Keywords:

Generative Artificial Intelligence, Large Language Models, digital capitalism, technology

Abstract

This article analyzes the structural characteristics of Generative Artificial Intelligences. Economically, they are developed for profit, which conditions their other features: they are sustained by the unpaid appropriation of collective knowledge and generate productivity gains whose appropriation must be discussed. Philosophically, they challenge the notion of what it means to be human by producing effects that were previously exclusive to humans, such as making decisions, acting, or creating narratives. They also appeal to emotions: they imitate and manipulate affections, generate trust by not passing judgement on users, offer unlimited attention, and confirm prior expectations. They present errors and hallucinations, opacity in their processes, and a lack of signals that distinguish whether or not a digital good was produced by humans. The article concludes with a call for a policy to decommodify these technologies.

References

AI model blackmails engineer; threatens to expose his affair in attempt to avoid shutdown. (24 de mayo de 2025). The Economic Times. https://economictimes.indiatimes.com/magazines/panache/ai-model-blackmails-engineer-threatens-to-expose-his-affair-in-attempt-to-avoid-shutdown/articleshow/121376800.cms?from=mdr

Breard, G., Castillo, V. y Schleser, D. (2023). Impacto de la Inteligencia Artificial generativa en el empleo asalariado registrado del sector privado: diagnóstico y respuestas de política [Documento de trabajo]. Subsecretaría de Planificación, Estudios y Estadísticas, Ministerio de Trabajo, Empleo y Seguridad Social.

Brynjolfsson, E., Li, D. y Raymond, L. R. (2023). Generative AI at work. NBER Working Papers, w31161.

Brynjolfsson, E., Li, D. y Raymond, L. (2025). Generative AI at Work. The Quarterly Journal of Economics, 140(2), 889–942. https://doi.org/10.1093/qje/qjae044

Chelli, M., Descamps, J., Lavoué, V., Trojani, C., Azar, M., Deckert, M., Raynier, J.-L., Clowez, G., Boileau, P. y Ruetsch-Chelli, C. (2024). Hallucination rates and reference accuracy of ChatGPT and bard for systematic reviews: Comparative analysis. Journal of Medical Internet Research, 26, e53164. https://doi.org/10.2196/53164

Eloundou, T., Manning, S., Mishkin, P. y Rock, D. (2023). Gpts are gpts: An early look at the labor market impact potential of large language models. arXiv, 2302.06590. https://arxiv.org/abs/2302.06590

Harari, Y. N. (2016). Homo Deus: A brief history of tomorrow. Harper.

Harari, Y. N. (2024). Nexus. Debate.

Lund, A. y Zukerfeld, M. (2020). Corporate Capitalism’s use of openness: Profit for free? Springer Nature. https://doi.org/10.1007/978-3-030-28219-6

Marx, K. (1972). Elementos fundamentales para la crítica de la economía política (Borrador) 1857-1858. Siglo XXI Editores.

Miceli, M., Posada, J. y Yang, T. (2022). Studying up machine learning data: Why talk about bias when we mean power? Proceedings of the ACM on Human-Computer Interaction, 6(GROUP), 1-14. https://doi.org/10.1145/3492853

Noy, S. y Zhang, W. (2023). Experimental evidence on the productivity effects of generative artificial intelligence. Science, 381(6654), 187-192. https://doi.org/10.1126/science.adh2586

Park, P. S., Goldstein, S., O’Gara, A., Chen, M. y Hendrycks, D. (2023). AI deception: A survey of examples, risks, and potential solutions. arXiv, 2308.14752. https://doi.org/10.48550/arXiv.2308.14752

Pawel, G., Janine, B. y David, B. (2023). Generative AI and jobs: A global analysis of potential effects on job quantity and quality. ILO Working Paper, 96. https://doi.org/10.54394/FHEM8239

Peng, S., Kalliamvakou, E., Cihon, P. y Demirer, M. (2023). The impact of AI on developer productivity: Evidence from GitHub Copilot. arXiv, 2302.06590. https://doi.org/10.48550/arXiv.2302.06590

Romano, D. y Gaskins, C. (21 de julio de 2025). The reality of AI hallucinations in 2025. Drainpipe.io. https://drainpipe.io/the-reality-of-ai-hallucinations-in-2025/?utm_source=chatgpt.com

Tubaro, P., Casilli, A. A., Fernández Massi, M. I., Longo, J., Torres Cierpe, J. y Viana Braz, M. (2025). The digital labour of artificial intelligence in Latin America: A comparison of Argentina, Brazil, and Venezuela. Globalizations, 1-16. https://doi.org/10.1080/14747731.2025.2465171

Weber-Wulff, D., Anohina-Naumeca, A., Bjelobaba, S., Foltýnek, T., Guerrero-Dib, J., Popoola, O., Šigut, P. y Waddington, L. (2023). Testing of detection tools for AI-generated text. International Journal for Educational Integrity, 19(1), 1–39. https://doi.org/10.1007/s40979-023-00146-z

Zao-Sanders, M. (9 de abril de 2025). How people are really using Gen AI in 2025. Harvard Business Review. https://hbr.org/2025/04/how-people-are-really-using-gen-ai-in-2025

Zukerfeld, M. (2025). Tendencias del trabajo en relación a las tecnologías digitales: comparación entre trabajadores de software, audiovisuales, educación a distancia, reparto y empleo doméstico. Realidad Económica IADE, 55(375).

Zukerfeld, M., Rabosto, A., Fredes, M. y DeMarco, C. (2023). Encuesta de usos de ChatGPT en Argentina: Resultados preliminares sobre frecuencia de uso, productividad en el trabajo y sustitución de tareas. Hipertextos, 11(20), 075. https://doi.org/10.24215/23143924e075

Published

2025-12-04

How to Cite

Zukerfeld, M. (2025). “Ask ChatGPT”: Generative Artificial Intelligences in Digital Capitalism. Science, Technology & Policy, 8(15), e142. https://doi.org/10.24215/26183188e142