The AI con

advertising, exploitation, and profit in the art of persuading people about the promises of technology

Authors

DOI:

https://doi.org/10.15448/1980-3729.2026.1.49523%20

Keywords:

AI hype, legitimating rhetoric, data extraction, labor precarity, governance and digital rights

Abstract

This review presents The AI Con as a critical essay that deconstructs AI hype by treating it as a discursive label that masks automation, data extraction, and market reconfiguration. The authors move through arenas such as political hearings, the anthropomorphization of systems, labor precarity, the automation of public services, and the proliferation of generative models in art and journalism, showing how promises circulate and become policy, products, and institutional reorganization. The appraisal highlights the book’s strength in linking discourse to material effects and its call for transparency, consent, and rights, while noting limits tied to an essayistic format and the dominance of U.S. cases.

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Author Biography

Gilberto Alves Araújo, University of the Witwatersrand (WITS)/Federal University of Pará (UFPA)/Air Force University (UNIFA), Rio de Janeiro, RJ, Brazil.

Holds a PhD in Media Discourse Studies from the University of the Witwatersrand (WITS), with a research stay at the University of Mannheim (UMA), is an associate researcher at WITS, a professor in the Postgraduate Program in Language Studies (PPGEL) at the Federal University of Pará (UFPA), and a lecturer at the Language Center of the Air Force University (UNIFA).

References

BENDER, E. M.; HANNA, A. The AI con: how to fight big tech’s hype and create the future we want. Nova Iorque: HarperCollins, 2025.

BOSTROM, N. Superintelligence: paths, dangers, strategies. Oxford: Oxford University Press, 2014.

BROUSSARD, M. Artificial unintelligence: how computers misunderstand the world. Cambridge: MIT Press, 2018.

COULDRY, N.; MEJIAS, U. A. The costs of connection: how data is colonizing human life and appropriating it for capitalism. Stanford: Stanford University Press, 2019.

CRAWFORD, K. Atlas of AI: power, politics, and the planetary costs of artificial intelligence. New Haven: Yale University Press, 2021.

D’IGNAZIO, C.; KLEIN, L. F. Data feminism. Cambridge: MIT Press, 2020.

EUBANKS, V. Automating inequality: how high-tech tools profile, police, and punish the poor. Nova Iorque: St. Martin’s Press, 2017.

GRAY, M. L.; SURI, S. Ghost work: how to stop Silicon Valley from building a new global underclass. Nova Iorque: Houghton Mifflin Harcourt, 2019.

NARAYANAN, A.; KAPOOR, S. AI snake oil: what artificial intelligence can do, what it can’t, and how to tell the difference. Princeton: Princeton University Press, 2024.

NOBLE, S. U. Algorithms of oppression: how search engines reinforce racism. Nova Iorque: New York University Press, 2018.

O’NEIL, C. Weapons of math destruction: how big data increases inequality and threatens democracy. Nova Iorque: Crown, 2016.

ZUBOFF, S. The age of surveillance capitalism: the fight for a human future at the new frontier of power. Nova Iorque: PublicAffairs, 2019.

Published

2026-06-18

How to Cite

Alves Araújo, G. (2026). The AI con: advertising, exploitation, and profit in the art of persuading people about the promises of technology. Revista FAMECOS, 33(1), e49523 . https://doi.org/10.15448/1980-3729.2026.1.49523