Agentic AI Personalization in Advertising: Realizing the True Potential of N = 1

With the rapid diffusion of generative artificial intelligence (AI), we have come closer than ever to achieving the holy grail of personalizing advertisements to individual consumers, i.e., the ideal of N = 1. AI-driven ad serving platforms act with unprecedented agency, dynamically creating highly tailored appeals and experiences. Such “agentic AI personalization” has both positive and negative consequences. This article traces the evolution from analog personalization to agentic personalization. It then explicates the latter concept in terms of breadth, depth, and length of personalized messaging. It overviews the processes underlying agentic AI personalization and describes the dualities inherent in both its foundation and operation. Finally, it offers a theoretical framework for studying the effects of agentic AI personalization on consumer responses to advertisements, followed by an illustrative set of propositions for empirical testing.

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Publication Details

Journal
Journal of Advertising
Published
2026-10-28
DOI
https://doi.org/10.1080/00913367.2026.2744238
Primary Topic
Marketing and Advertising Strategies
Type
article
Field-Weighted Citation Impact
0.00

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article

Agentic AI Personalization in Advertising: Realizing the True Potential of N = 1

Kirk A. Plangger, S. Shyam Sundar, Taylor Jing Wen, Claire Monique Segijn et al.
Journal of Advertising
Marketing and Advertising Strategies
article

Agentic AI Personalization in Advertising: Realizing the True Potential of N = 1

Kirk A. Plangger, S. Shyam Sundar, Taylor Jing Wen, Claire Monique Segijn, Julien Cloarec
article en

Abstract

With the rapid diffusion of generative artificial intelligence (AI), we have come closer than ever to achieving the holy grail of personalizing advertisements to individual consumers, i.e., the ideal of N = 1. AI-driven ad serving platforms act with unprecedented agency, dynamically creating highly tailored appeals and experiences. Such “agentic AI personalization” has both positive and negative consequences. This article traces the evolution from analog personalization to agentic personalization. It then explicates the latter concept in terms of breadth, depth, and length of personalized messaging. It overviews the processes underlying agentic AI personalization and describes the dualities inherent in both its foundation and operation. Finally, it offers a theoretical framework for studying the effects of agentic AI personalization on consumer responses to advertisements, followed by an illustrative set of propositions for empirical testing.

Journal of Advertising
University of Minnesota (US), Pennsylvania State University (US), University of South Carolina (US), King's College London (GB), Sungkyunkwan University (KR), Université Jean Moulin Lyon III (FR)
University of Minnesota, Academy of Marketing, European Commission, Ministry of Science and ICT, South Korea
Openalex Percentile: Top 6%
Marketing and Advertising Strategies
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Agentic AI Personalization in Advertising: Realizing the True Potential of N = 1 — Kirk A. Plangger, S. Shyam Sundar, et al. · Journal of Advertising (2026) | TGRS Research Map | TGRS