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  • July 2024
  • Article
  • Journal of the Association for Consumer Research

How Artificial Intelligence Constrains Human Experience

By: A. Valenzuela, S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino and K. Wertenbroch
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Abstract

Many consumption decisions and experiences are digitally mediated. As a consequence, consumer behavior is increasingly the joint product of human psychology and ubiquitous algorithms (Braun et al. 2024; cf. Melumad et al. 2020). The coming of age of Large Language Models is further accelerating the dissemination and impact of artificial intelligence (AI). AI holds the promise of improving the life of consumers everywhere, in ways small and large. At the same time, the deployment of this technology is not without risks. The societal discourse on the potential risks of AI tends to focus on issues of discrimination and privacy, or on distant “existential” risks (e.g., the possibility of human extinction or an irreversible global catastrophe). Our focus is different. Following the work of consumer researchers who have started to identify psychological tensions in the consumer experience of AI (Puntoni et al. 2021), we contribute to this nascent literature by exploring how AI can reduce the range of people’s expression and choices, as well as the opportunities available to them for personal development. In other words, our intent is to delineate how consumers’ possibility spaces are increasingly shaped by algorithms. This approach is aligned with industry calls to understand how “customers face an array of new devices with which to interact with firms, fundamentally altering the purchase experience” (Marketing Science Institute 2018, p.4)

Keywords

Large Language Model; User Experience; AI and Machine Learning; Consumer Behavior; Technology Adoption; Risk and Uncertainty; Cost vs Benefits

Citation

Valenzuela, A., S. Puntoni, D. Hoffman, N. Castelo, J. De Freitas, B. Dietvorst, C. Hildebrand, Y.E. Huh, R. Meyer, M. Sweeney, S. Talaifar, G. Tomaino, and K. Wertenbroch. "How Artificial Intelligence Constrains Human Experience." Journal of the Association for Consumer Research 9, no. 3 (July 2024): 241–256.
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About The Author

Julian De Freitas

Marketing
→More Publications

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    • June 2025
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    Ideation with Generative AI—In Consumer Research and Beyond

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    Is Personal Identity Intransitive?

    By: J. De Freitas and L. J. Rips
    • February 2025
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    Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots

    By: Julian De Freitas and I. Glenn Cohen
More from the Authors
  • Ideation with Generative AI—In Consumer Research and Beyond By: Julian De Freitas, G. Nave and Stefano Puntoni
  • Is Personal Identity Intransitive? By: J. De Freitas and L. J. Rips
  • Disclosure, Humanizing, and Contextual Vulnerability of Generative AI Chatbots By: Julian De Freitas and I. Glenn Cohen
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