Morales-Muñoz, A., Iniesta-Bonillo, M. Á., Estrella-Ramón, A., & Herrada-Lores, S. (2026). Artificial intelligence and consumer behaviour in social media: Systematic literature review and future research agenda. International Journal of Consumer Studies, 50(1), e70173.
A recent study by Morales-Muñoz et al. (2026) suggests that marketers must emphasize transparent communication strategies about the use of AI-generated content to enhance the brand-consumer relationship. They indicate that this approach should accompany operational efficiency.
What’s the secret to maximizing the potential of generative AI in marketing?
The secret may be having humans focus on lived experiences while AI focuses on the functional aspects of marketing.
That’s my takeaway from a recent study by Gao et al. (2026). Do you disagree?
Check out the study:
Gao, X., Li, W., & Zhao, Y. (2026). Value-dependent and empathy-mediated: How artificial intelligence-generated marketing content influences customer engagement, and when to disclose its origin. Frontiers in Psychology, 16, Article 1701085.
It could be a game changer for optimizing paid digital media. What do you think?
A recent article by Wu et al. (2026) proposes an architecture of how a model could improve digital advertising.
Check out Figure 1 in the article.
Wu, Y., Ma, Z., Wang, M., Wang, J., & Ren, X. (2026). Precision advertising delivery optimization based on data mining and artificial intelligence for digital marketing scenarios.
This study is a solid read:
Clary, S. D. (2026). The role of artificial intelligence in modern marketing. Iconic Research and Engineering Journals, 9(10).
https://t.co/CJmqdEDi7b
2.8x greater marketing ROI.
That’s what organizations with mature AI marketing implementations are achieving compared to non-adopters, according to a recent study by Scott D. Clary (2026).