AI and Business Anthropology: Introduction to the Themed Essays

Authors

  • Matt Artz
  • Adam Gamwell

DOI:

https://doi.org/10.22439/jba.v15i1.7807

Abstract

When we put out the call for this themed issue, we placed a single question at its center: Does contemporary AI represent a fundamental shift for business anthropology – or not? More specifically, we asked whether AI marks a genuine break from the digital turn already underway in the field, or whether it is better understood as a cumulative extension of it. This introduction traces what nine essays found: a field mid-conversation, not mid-consensus. The essays, largely from a United States vantage point, approach the question from genuinely different positions – as interpreters, critics, builders, designers, and practitioners whose working lives are already shaped by AI in ways they cannot set aside. Rather than advancing a single argument, the collection offers a conversation in which contributors disagree about the nature of the shift AI represents, about whether the discipline’s primary obligation is interpretive or productive, and about the mood with which practitioners are navigating a moment of genuine uncertainty. With these questions unresolved, the introduction closes by asking: what if? If those who believe that AI is already reshaping the conditions of anthropological work prove correct, the implications may extend beyond methodology to something more fundamental: a transformation in what it means to know anthropologically and, ultimately, in what it means to be an anthropologist.

References

Artz, M. (2023). “The Digital Turn in Business Anthropology.” Journal of Business Anthropology 12 (1): 78-91. https://doi.org/10.22439/jba.v12i1.6919

Artz, M. (2026a). “Artificial Intelligence: The AI Anthropology Lifecycle (of + by + for AI).” In D. Proctor (ed.), Practicing Digital Ethnography (pp. 241-259). New York: Routledge. https://doi.org/10.4324/9781032672663-29

Artz, M. (2026b). “Multi-Agent Ethnography: Post-Conventional Anthropological Practice through Human–AI Collaboration.” Anthropological Forum: 1-19. https://doi.org/10.1080/00664677.2026.2614501.

Duke, M. R. (2025). “Artificial Intelligence and the End(s) of Qualitative Data Analysis.” Human Organization 85(1): 8-10. https://doi.org/10.1080/00187259.2025.2546439

Ferraro, G. P. and Briody, E. K. (2017). The Cultural Dimension of Global Business. New York: Routledge. https://doi.org/10.4324/9781315411019

Gordon, L. (2025). “AI Can Code… But Can It Care? Exploring Automation in Qualitative Research.” Practicing Anthropology: 1-7. https://doi.org/10.1080/08884552.2025.2593841

Jordan, A. T. (2012). Business Anthropology. Long Grove: Waveland Press, Inc.

Jowsey, T., Braun, V., Clarke, V., Lupton, D., and Fine, M. (2025). “We Reject the Use of Generative Artificial Intelligence for Reflexive Qualitative Research.” Qualitative Inquiry: 1-5. https://doi.org/10.1177/10778004251401851

Madsen, A. K., Munk, A. K., and Søltoft, J. I. (2023). “Friction by Machine: How to Slow Down Reasoning with Computational Methods.” Proceedings of the Ethnographic Praxis in Industry Conference: 82-105. https://doi.org/10.1111/epic.12153

Malefyt, T. d. W. (2023). Business Anthropology: The Basics. New York: Routledge. https://doi.org/10.4324/9781003358930

Malefyt, T. d. W. and Moeran, B. (eds.) (2003). Advertising Cultures. New York: Routledge. https://doi.org/10.4324/9781003084389

Malefyt, T. d. W. and Morais, R. J. (2012). Advertising and Anthropology: Ethnographic Practice and Cultural Perspectives. New York: Routledge. https://doi.org/10.4324/9781003084372

Miller, C. and Hitch, E. (2018). “Design Anthropology: An Introduction to the Themed Issue.” Journal of Business Anthropology 7(2): 157-162. https://doi.org/10.22439/jba.v7i2.5617

Moeran, B. and Garsten, C. (2012). “What’s in a Name? Editors’ Introduction to the Journal of Business Anthropology.” Journal of Business Anthropology 1(1): 1-19. https://doi.org/10.22439/jba.v1i1.3545

Moeran, B., Arnould, E. J., Becker, H. S., Boyer, D., Hannerz, U., Lien, M., Löfgren, O., Marcus, G. E., Morais, R. J., Nakamaki, H., Smart, A., Smart, J., Swedberg, R., and Wilk, R. (2012). “Opinions: What Business Anthropology Is, What It Might Become... and What, Perhaps, It Should Not Be.” Journal of Business Anthropology 1(2): 240-297. https://doi.org/10.22439/jba.v1i2.3944

Munk, A. K., Olesen, A. G., and Jacomy, M. (2022). “The Thick Machine: Anthropological AI between Explanation and Explication.” Big Data & Society 9(1). https://doi.org/10.1177/20539517211069891

Sajadieh, S., Fattorini, L., Perrault, R. et al. (2026). The AI Index 2026 Annual Report. AI Index Steering Committee, Institute for Human-Centered AI, Stanford University, Stanford, CA. https://hai.stanford.edu/assets/files/ai_index_report_2026.pdf

Smith, R. C., Vangkilde, K. T., Kjærsgaard, M. G., Otto, T., Halse, J., and Binder, T. (eds.) (2016). Design Anthropological Futures. London and New York: Bloomsbury. https://doi.org/10.4324/9781003085188

Søltoft, J. I., Kocksch, L., and Munk, A. K. (2024). “Synthetic Interlocutors: Experiments with Generative AI to Prolong Ethnographic Encounters.” arXiv:2410.11395. https://doi.org/10.48550/arXiv.2410.11395

Sunderland, P. L. and Denny, R. M. (2007). Doing Anthropology in Consumer Research. Walnut Creek: Left Coast Press.

Vangkilde, K. T., Breslin, S. D., and Lex, S. (2025). “Business Anthropology: Always In-The-Making.” Journal of Business Anthropology 14(1): 1-6. https://doi.org/10.22439/jba.v14i1.7619

Yu, S. (2026). “Beyond the End(s) of Qualitative Data Analysis.” Human Organization: 1-7. https://doi.org/10.1080/00187259.2026.2649886

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Published

2026-07-09

Issue

Section

Themed Essays