I feel no empathy toward AI: the effects of AI vs human spokespersons on advertisement effectiveness

Purpose This study investigates the effectiveness of artificial intelligence (AI)-generated spokespersons in advertising compared to human counterparts, addressing a critical gap in marketing research as generative AI becomes more prevalent. Design/methodology/approach We conducted three experimental studies to examine hypotheses related to consumer responses toward AI versus human spokespersons. Findings The results reveal that AI-generated spokespersons are less effective than human spokespersons in advertisements, countering assumptions about AI’s potential impact in marketing contexts. Using construal-level theory, we demonstrate that AI-generated spokespersons create a greater psychological distance from consumers, reducing empathy and ultimately decreasing advertisement effectiveness across for-profit and non-profit contexts. Furthermore, when AI spokespersons exhibit high anthropomorphic cues, the negative effect on advertisement effectiveness diminishes. Originality/value This research extends construal-level theory to AI–human interactions, offering valuable insights into the strategic use of AI-generated spokespersons in advertising. The findings inform marketing practitioners and scholars about optimizing advertisement strategies in a growing era of generative AI technologies.

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Publication Details

Journal
Journal of Research in Interactive Marketing
Published
2025-04-15
DOI
https://doi.org/10.1108/jrim-11-2024-0536
Citations
2
Primary Topic
Behavioral Health and Interventions
Type
article
Field-Weighted Citation Impact
3.09
Controls
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article

I feel no empathy toward AI: the effects of AI vs human spokespersons on advertisement effectiveness

Yumei Mu, Luke Ingalls Liska, Maneesh Thakkar, Alexis Yim
2 citations
Journal of Research in Interactive Marketing
Behavioral Health and Interventions
3.09
article

I feel no empathy toward AI: the effects of AI vs human spokespersons on advertisement effectiveness

Yumei Mu, Luke Ingalls Liska, Maneesh Thakkar, Alexis Yim
article en
2 citations

Abstract

Purpose This study investigates the effectiveness of artificial intelligence (AI)-generated spokespersons in advertising compared to human counterparts, addressing a critical gap in marketing research as generative AI becomes more prevalent. Design/methodology/approach We conducted three experimental studies to examine hypotheses related to consumer responses toward AI versus human spokespersons. Findings The results reveal that AI-generated spokespersons are less effective than human spokespersons in advertisements, countering assumptions about AI’s potential impact in marketing contexts. Using construal-level theory, we demonstrate that AI-generated spokespersons create a greater psychological distance from consumers, reducing empathy and ultimately decreasing advertisement effectiveness across for-profit and non-profit contexts. Furthermore, when AI spokespersons exhibit high anthropomorphic cues, the negative effect on advertisement effectiveness diminishes. Originality/value This research extends construal-level theory to AI–human interactions, offering valuable insights into the strategic use of AI-generated spokespersons in advertising. The findings inform marketing practitioners and scholars about optimizing advertisement strategies in a growing era of generative AI technologies.

Journal of Research in Interactive MarketingVol. 20(1)
Radford University (US)
Openalex Percentile: Top 9%
Behavioral Health and Interventions
3.09
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I feel no empathy toward AI: the effects of AI vs human spokespersons on advertisement effectiveness — Yumei Mu, Luke Ingalls Liska, et al. · Journal of Research in Interactive Marketing (2025) | TGRS Research Map | TGRS