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International Journal of Science, Strategic Management and Technology

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ISSN: 3108-1762 (Online)
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A COMPARATIVE STUDY OF CONSUMER PERCEPTION TOWARD AI GENERATED AND HUMAN-CREATED CONTENT IN DIGITAL MARKETING AND ADVERTISING

AUTHORS:
MAYANK SHARMA
Mentor
Affiliation
MBA PERSONALTY AND SKILL DEVELOPMENT
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

This study examines how consumers perceive AI-generated content compared to human-created content in digital marketing and advertising. With the rapid adoption of generative AI tools, businesses increasingly rely on automated systems for content creation. The research focuses on key factors such as trust, authenticity, engagement, and purchase intention. Using a structured questionnaire based on a Likert scale, primary data was collected from respondents. The findings suggest that while AI- generated content performs well in efficiency and clarity, human-created content is perceived as more authentic and emotionally engaging. The study highlights the importance of balancing AI use with human creativity in marketing strategies.


The rapid advancement of artificial intelligence has significantly transformed digital marketing and advertising, enabling businesses to generate content efficiently at scale. This study examines consumer perception toward AI-generated content in comparison to human-created content, focusing on key factors such as trust, authenticity, engagement, and purchase intention. As brands increasingly adopt AI tools for content creation, understanding how consumers respond to such content becomes essential for effective marketing strategies.


The study concludes that although AI offers significant advantages in scalability and cost-effectiveness, it cannot fully replace human creativity and relatability. A balanced approach that integrates AI capabilities with human input is recommended for businesses to enhance consumer trust and engagement in digital marketing and advertising.

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SHARMA, M. (2026). A Comparative Study of Consumer Perception Toward AI Generated and Human-Created Content in Digital Marketing and Advertising. International Journal of Science, Strategic Management and Technology, 02(05). https://doi.org/10.55041/ijsmt.v2i5.430

SHARMA, MAYANK. "A Comparative Study of Consumer Perception Toward AI Generated and Human-Created Content in Digital Marketing and Advertising." International Journal of Science, Strategic Management and Technology, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i5.430.

SHARMA, MAYANK. "A Comparative Study of Consumer Perception Toward AI Generated and Human-Created Content in Digital Marketing and Advertising." International Journal of Science, Strategic Management and Technology 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i5.430.

References
1.Chintalapati, S., & Pandey, S. K. (2021). Artificial intelligence in marketing: A systematic literature review. International Journal of Market Research, 63(4), 1–20. Davenport, T. H., Guha, A., Grewal, D., & Bress Gott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science, 48(1), 24–42.

2.Dwivedi, Y. K., Hughes, L., Ismagilov, E., et al. (2021). Artificial intelligence (AI): Multidisciplinary perspectives on emerging challenges, opportunities, and agenda for research. International Journal of Information Management, 57, 101994. Huang, M. H., & Rust, R. T. (2021). Artificial intelligence in service. Journal of Service Research, 24(1), 3–20.

3.Kaplan, A. M., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25. Kietzmann, J., Paschen, J., & Treen, E. (2018). Artificial intelligence in advertising: How marketers can leverage AI. Journal of Advertising Research, 58(3), 263–267.

4.Li, F. F., Etchemin, J., & Mollick, E. (2023). Generative AI and its implications for marketing and consumer behaviour. Harvard Business Review. Paschen, J., Kietzmann, J., & Kietzmann, T. C. (2020). Artificial intelligence (AI) and its implications for market knowledge in B2B marketing. Journal of Business & Industrial Marketing, 35(9), 1351–1361.

5.Rust, R. T., & Huang, M. H. (2019). Artificial intelligence in marketing: Opportunities, challenges, and future research agenda. Journal of Marketing, 83(6), 1–25. Stone, M., Aravopoulou, E., Ekinci, Y., et al. (2020). Artificial intelligence in marketing: A review and research agenda. Journal of Strategic Marketing, 28(6), 1–18.

6.Verma, S., Sharma, R., Deb, S., & Maitra, D. (2021). Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights, 1(1), 100002. Yadav, M. S., & Pavlou, P. A. (2020). Marketing in computer-mediated environments: Research synthesis and future directions. Journal of Marketing, 84(1), 1–25.
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✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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