Unveiling the Influence of Gen‐ <scp>AI</scp> Marketing on Customer Experience Through User‐Generated Content Analysis

ABSTRACT Generative AI (Gen‐AI) is an evolving technology surrounded by both opportunities and myths. This study examines consumer perceptions of Gen‐AI applications in marketing along with ethical and societal challenges by analyzing user‐generated content from Twitter (X) using thematic and sentiment analysis. The findings show that consumers tend to respond favorably to Gen‐AI‐driven marketing applications such as chatbots, email marketing, and recommendation systems, especially when they increase the perceived value, personalization, and engagement. However, concerns around ethical AI, trust, transparency, explainability, and over‐reliance on automation become important barriers to consumer acceptance. Based on the insights from the study, the future of Gen‐AI applications should be focused on balancing intelligence with responsibility. Integrating Gen‐AI with ethical design, transparency, contextual sensitivity, and human judgment will help organizations achieve sustainable customer trust, superior experiences, and long‐term strategic advantage.

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Publication Details

Journal
Thunderbird International Business Review
Published
2026-02-12
DOI
https://doi.org/10.1002/tie.70099
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Unveiling the Influence of Gen‐ AI Marketing on Customer Experience Through User‐Generated Content Analysis

Shivam Gupta, Santosh Kumar Shrivastav, Susmi Routray, Surajit Bag
Thunderbird International Business Review
AI in Service Interactions
article

Unveiling the Influence of Gen‐ AI Marketing on Customer Experience Through User‐Generated Content Analysis

Shivam Gupta, Santosh Kumar Shrivastav, Susmi Routray, Surajit Bag
article en

Abstract

ABSTRACT Generative AI (Gen‐AI) is an evolving technology surrounded by both opportunities and myths. This study examines consumer perceptions of Gen‐AI applications in marketing along with ethical and societal challenges by analyzing user‐generated content from Twitter (X) using thematic and sentiment analysis. The findings show that consumers tend to respond favorably to Gen‐AI‐driven marketing applications such as chatbots, email marketing, and recommendation systems, especially when they increase the perceived value, personalization, and engagement. However, concerns around ethical AI, trust, transparency, explainability, and over‐reliance on automation become important barriers to consumer acceptance. Based on the insights from the study, the future of Gen‐AI applications should be focused on balancing intelligence with responsibility. Integrating Gen‐AI with ethical design, transparency, contextual sensitivity, and human judgment will help organizations achieve sustainable customer trust, superior experiences, and long‐term strategic advantage.

Thunderbird International Business Review
NEOMA Business School (FR), Institute of Management Technology (IN), Excelia Business School (FR)
Openalex Percentile: Top 59%
AI in Service Interactions
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