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.
Authors
- Yumei Mu (ORCID: https://orcid.org/0000-0001-5024-3738)
- Luke Ingalls Liska (ORCID: https://orcid.org/0000-0001-7774-8795)
- Maneesh Thakkar
- Alexis Yim (ORCID: https://orcid.org/0000-0002-2247-4544)
Institutions
- Radford University (US)
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