What it is about

The chapter is written in Spanish; original title: “Las élites tecnológicas: la inserción en marcos normativos y redes corporativas”.

The chapter studies the dual embeddedness of tech elites in the age of artificial intelligence: their institutional embeddedness in the frameworks that regulate AI, and their relational embeddedness in corporate networks.

It compares the regulatory models of the United States and the European Union and analyses the interlocking directorates network of the 21 largest technology companies. The result is a tension: regulation is split into two paradigms (the European one, based on risk of use, and the US one, based on computing capacity), yet the networks are integrated through transatlantic ties. Meta, Microsoft, Amazon and Alphabet connect with European tech firms such as Accenture, Adyen and SAP. This divergence between fragmented institutions and integrated networks calls into question whether national frameworks can constrain elites that operate transnationally.

How to cite

Cárdenas, J. and Domínguez-Rubio, Z. (2026). Las élites tecnológicas: la inserción en marcos normativos y redes corporativas. In M. Serna, E. T. dos Reis, I. Gastal Grill and M. Gené (Eds.), Elites políticas e domínios do poder na América Latina (ch. 12). Fino Traço Editora. ISBN 978-85-8054-795-5.

What it is about

An editorial in the Revista Española de Sociología that asks whether we should accept AI reviewing the articles submitted to a journal. It defines and characterises generative AI, reviews tools that already assist research and sets out four possible scenarios: democratisation of research, underuse of AI, rising inequality and digital laggards.

The central argument: AI greatly expands what a researcher can do, but it cannot “hit the streets”. It cannot replace fieldwork or the interpretation of social context. The text closes with concrete proposals: training in AI tools, research-based education and an open debate on the use of AI in managing scientific journals.

How to cite

Cárdenas, J. (2023). Artificial intelligence, research and peer-review: future scenarios and action strategies. Revista Española de Sociología, 32(4), a184. https://doi.org/10.22325/fes/res.2023.184