When AI Sets the Price: How Consumers Interpret Price Formats and Intent

ABSTRACT As algorithmic pricing becomes more prevalent, understanding consumer responses to AI‐set prices is increasingly important. Across two experiments with Chilean students ( N = 165) and U.S. consumers ( N = 631), we examined how the price‐setting agent (AI vs. human) and price format (round vs. just‐below) influence consumer responses. Study 1 provides directional evidence that consumers respond less favorably to AI‐set prices and supports a preference for round over just‐below prices when pricing is attributed to AI. Study 2 supports the less favorable response to AI pricing and provides directional evidence for the predicted price‐format effect. Importantly, Study 2 provides evidence consistent with perceived manipulation as an underlying mechanism: just‐below prices heighten perceptions that AI pricing is intended to influence or exploit consumers, reducing recommendation likelihood and purchase intention. These findings extend research on algorithmic pricing, psychological pricing, and digital nudging.

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Publication Details

Journal
Journal of Consumer Affairs
Published
2026-10-16
DOI
https://doi.org/10.1111/joca.70080
Primary Topic
Consumer Market Behavior and Pricing
Type
article
Field-Weighted Citation Impact
0.00

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article

When AI Sets the Price: How Consumers Interpret Price Formats and Intent

Ricardo Limongi, Alvaro Chacon
Journal of Consumer Affairs
Consumer Market Behavior and Pricing
article

When AI Sets the Price: How Consumers Interpret Price Formats and Intent

Ricardo Limongi, Alvaro Chacon
article en

Abstract

ABSTRACT As algorithmic pricing becomes more prevalent, understanding consumer responses to AI‐set prices is increasingly important. Across two experiments with Chilean students ( N = 165) and U.S. consumers ( N = 631), we examined how the price‐setting agent (AI vs. human) and price format (round vs. just‐below) influence consumer responses. Study 1 provides directional evidence that consumers respond less favorably to AI‐set prices and supports a preference for round over just‐below prices when pricing is attributed to AI. Study 2 supports the less favorable response to AI pricing and provides directional evidence for the predicted price‐format effect. Importantly, Study 2 provides evidence consistent with perceived manipulation as an underlying mechanism: just‐below prices heighten perceptions that AI pricing is intended to influence or exploit consumers, reducing recommendation likelihood and purchase intention. These findings extend research on algorithmic pricing, psychological pricing, and digital nudging.

Journal of Consumer AffairsVol. 60(4)
Universidade Federal de Goiás (BR), Federico Santa María Technical University (CL)
Conselho Nacional de Desenvolvimento Científico e Tecnológico, Agencia Nacional de Investigación y Desarrollo
Openalex Percentile: Top 6%
Consumer Market Behavior and Pricing
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