AI Influencers vs Human Influencers: Redefining Digital Consumer Behavior and Marketing Strategies in the Age of Artificial Intelligence

As artificial intelligence (AI) continues to revolutionize industries, its application in digital marketing is becoming increasingly transformative. This study investigates the potential of AI-powered influencers to drive consumer decision-making compared to traditional human influencers. By leveraging AI for content generation and consumer engagement, the study addresses key questions around the efficacy, authenticity, and trustworthiness of AI-generated marketing campaigns. Grounded in digital consumer behavior theories and marketing frameworks such as the RACE Model and Content Marketing Mix, this research explores the implications of integrating AI-driven influencers into marketing strategies. A mixed-methods approach combining sentiment analysis, experimental content generation, and expert evaluations offers insights into consumer perceptions of AI-generated and human-generated content. Findings aim to contribute to both theoretical advancements in AI-enabled marketing and practical strategies for businesses navigating the evolving digital landscape. This study ultimately seeks to redefine the role of AI in influencing digital consumer behavior and shaping the future of marketing campaigns.

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Publication Details

Journal
Digital Commons - University of South Florida (University of South Florida)
Published
2025-05-01
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
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article

AI Influencers vs Human Influencers: Redefining Digital Consumer Behavior and Marketing Strategies in the Age of Artificial Intelligence

Digital Commons - University of South Florida (University of South Florida)
AI in Service Interactions
article

AI Influencers vs Human Influencers: Redefining Digital Consumer Behavior and Marketing Strategies in the Age of Artificial Intelligence

article en

Abstract

As artificial intelligence (AI) continues to revolutionize industries, its application in digital marketing is becoming increasingly transformative. This study investigates the potential of AI-powered influencers to drive consumer decision-making compared to traditional human influencers. By leveraging AI for content generation and consumer engagement, the study addresses key questions around the efficacy, authenticity, and trustworthiness of AI-generated marketing campaigns. Grounded in digital consumer behavior theories and marketing frameworks such as the RACE Model and Content Marketing Mix, this research explores the implications of integrating AI-driven influencers into marketing strategies. A mixed-methods approach combining sentiment analysis, experimental content generation, and expert evaluations offers insights into consumer perceptions of AI-generated and human-generated content. Findings aim to contribute to both theoretical advancements in AI-enabled marketing and practical strategies for businesses navigating the evolving digital landscape. This study ultimately seeks to redefine the role of AI in influencing digital consumer behavior and shaping the future of marketing campaigns.

Digital Commons - University of South Florida (University of South Florida)
University of Kara (TG)
Peace, Justice and strong institutions
Openalex Percentile: Top 73%
AI in Service Interactions
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AI Influencers vs Human Influencers: Redefining Digital Consumer Behavior and Marketing Strategies in the Age of Artificial Intelligence · Digital Commons - University of South Florida (University of South Florida) (2025) | TGRS Research Map | TGRS