Anthropology in Market Research and Artificial Intelligence: Crossroads of Opportunity or Forthcoming Pitfalls?

Authors

  • Autumn D. McDonald

DOI:

https://doi.org/10.22439/jba.v15i1.7810

Abstract

The market research industry has eagerly embraced artificial intelligence (AI) along with the promises of it bringing greater speed, reduced costs, and less laborious work. Advocates recommend the use of various forms of AI across the entire research process: design, execution, analysis, and reporting. While there are, indeed, benefits of utilizing AI, a critical gaze should be leveraged to ascertain appropriate uses and avoid meaningful pitfalls.

Anthropologists working in market research have a vital role to play as it pertains to the use of AI. As the ongoing frequent use of AI impedes critical thinking skills, anthropologists are well situated to illuminate dimensions of the utmost importance. These include how a reliance on AI in market research may impact both the product and functioning of market research teams, how AI may impact the quality of market research, and how the use of AI in market research may amplify imbalances of power.

Beyond critique, anthropologists should feel empowered to take constructive steps that will help mitigate the pitfalls of AI use in market research, while simultaneously reaping its sound benefits. 

References

Atari, M., Xue, M. J., Park, P. S., Blasi, D. E., and Henrich, J. (2023). “Which Humans? Large Language Models Reflect the Psychological, Demographic, and Cultural Characteristics of Their Trainers.” PsyArXiv. https://doi.org/10.31234/osf.io/5b26t

Backlinko Team (2026). “23 Key Market Research Statistics for 2026.” Backlinko (January 20). https://backlinko.com/market-research-statistics

Bohne, R. (2025). “Market Research Industry – Statistics & Facts.” Statista. https://www.statista.com/topics/1293/market-research/

Buolamwini, J. (2023). Unmasking AI: My Mission to Protect What Is Human in a World of Machines. New York: Random House.

Feger, A. (2025). “Humans Still Win the Content Race.” EMARKETER. https://www.emarketer.com/content/humans-still-win-content-race.

Gerlich, M. (2025). “AI Tools in Society: Impacts on Cognitive Offloading and the Future of Critical Thinking.” Societies 15(1): 6. https://doi.org/10.3390/soc15010006

Henriques, A., Moreno, A., Geisen, E., Chen, F., Rachad, D., and Katz, L. (2025). “Global Market Research Trends Report.” Qualtrics. https://www.qualtrics.com/ebooks-guides/market-research-trends-2025/

Horton, C. B. Jr., White, M., and Iyengar, S. S. (2023). “Bias against AI Art Can Enhance Perceptions of Human Creativity.” Scientific Reports 13: 19001. https://doi.org/10.1038/s41598-023-45202-3

Laurito, W., Davis, B., Grietzer, P., Gavenčiak, T., Böhm, A., and Kulveit, J. (2025). “AI-AI Bias: Large Language Models Favor Communications Generated by Large Language Models.” Proceedings of the National Academy of Sciences of the United States of America 122: e2415697122. https://doi.org/10.1073/pnas.2415697122

Liu, Y., Wu, S., Ruan, M., Chen, S., and Xie, X.-Y. (2025). “Research: Gen AI Makes People More Productive – and Less Motivated.” Harvard Business Review (May 13). https://hbr.org/2025/05/research-gen-ai-makes-people-more-productive-and-less-motivated

Maier, B. F., Aslak, U., Fiaschi, L., Rismal, N., Fletcher, K., Luhmann, C. C., Dow, R., Pappas, K., and Wiecki, T. V. (2025). “LLMs Reproduce Human Purchase Intent via Semantic Similarity Elicitation of Likert Ratings.” arXiv. https://doi.org/10.48550/arXiv.2510.08338

McDonald, A. D. (2023). “Bolstering Market Research with Anthropology.” Forbes (November 28). https://www.forbes.com/councils/forbesbusinesscouncil/2023/11/28/bolstering-market-research-with-anthropology/

McDonald, A. D. and Matus, M. (forthcoming). “Applying Anthropological Techniques to Market Research with the Latin American Diaspora, Indigenous Peoples, and Afro-Latine Constituents Across Borders.” In C. Wasson, E. B. Liebow, K. L. Narahara, H. Ilahiane, and A. Wali (eds.), Handbook of Applied Anthropology. London: Routledge.

McDonald, A. D., Sumter, T., Ashford, C., Vogel, M., Matus, M., and Murphy, J. (forthcoming). “AI-Moderated Interviews: What Market Researchers Need to Rethink about Quality, Culture, and Insight.” Quirk’s Marketing Research Review.

MIT Sloan Teaching & Learning Technologies (2025). “When AI Gets It Wrong: Addressing AI Hallucinations and Bias.” MIT Sloan Teaching & Learning Technologies (June 30). https://mitsloanedtech.mit.edu/ai/basics/addressing-ai-hallucinations-and-bias/

Morris, G. E. and the Verasight Data Team (2025). “Your Polls on ChatGPT.” Verasight White Paper Series (August 18). https://www.verasight.io/reports/synthetic-sampling

Tong, A. (2025). “AI Slows Down Some Experienced Software Developers, Study Finds.” Reuters (July 10).

Wilson, J. (2023). “Computer Does Qual: Avoiding AI-Overclaim and False Equivalency.” GreenBook (December 13). https://www.greenbook.org/insights/the-prompt-ai/computer-does-qual-avoiding-ai-overclaim-and-false-equivalency

Wright, W. (2025). “Heavy AI Use at Work Has a Surprising Relationship to Burnout, New Study Finds.” ZDNET (July 9).

“Writing Is Thinking” (2025). Nature Reviews Bioengineering 3: 431. https://doi.org/10.1038/s44222-025-00323-4

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Published

2026-07-09

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Themed Essays