Abstract
Artificial Intelligence (AI) is fundamentally reshaping various industries, including marketing and marketing education. The rapid integration of AI requires the urgent development of specific AI competencies among future marketing professionals. Essential for enhancing productivity, personalization, speed, and often quality of marketing work, proficiency in AI-driven workflows is increasingly becoming a critical requirement for successful careers in the field of marketing. AI offers significant benefits, such as mimicking real-world marketing tasks, enhancing learningby reducing routine assignments, and acting as a study partner, while also transforming education through its impact oncost, personalization, creativity, and effectiveness. Nevertheless, considerable challenges remain, including AI’s tendency to make errors, inherent biases, and the significant risks of plagiarism, alongside privacy concerns. Strategic thinking,nevertheless, remains an irreplaceable human prerogative, complementing generative AI with evaluative AI for accuracy.A disparity currently exists between academic offerings and industry demands for Generative AI (GenAI) competencies.This necessitates urgent adaptation due to AI’s rapid development and its profound impact on marketing workflows, emphasizing the crucial human factor for successful integration. This article presents a current literature review examiningthe academic and professional discourse surrounding the imperative of integrating AI into modern marketing curricula.It highlights diverse perspectives from various authors regarding AI’s role in marketing education and showcases criticalareas for future pedagogical and curricular investigation. The review underscores the need for educational institutions to adapt their offerings to prepare students for an AI-driven marketing landscape.
References
10 Eye Opening AI Marketing Stats in 2025. (n.d.). Digital Marketing Institute. Retrieved June 1, 2025, from https://digitalmarketinginstitute.com/blog/10-eye-opening-ai-marketing-stats-in-2025
Acar, O. A. (2024). Commentary: Reimagining marketing education in the age of generative AI. International Journal of Research in Marketing, 41(3), 489–495. https://doi.org/10.1016/j.ijresmar.2024.06.004
Brocato, D., White, N., Bartkus, K., & Brocato, A. (2015). Social Media and Marketing Education: A Review of Current Practices in Curriculum Development. Journal of Marketing Education, 37. https://doi.org/10.1177/0273475315588110
Cowley, S., HumphreyJr., W., & Muñoz, C. (2021). Industry Certifications in Digital Marketing and Media Education: An Examination of Perceptions and Use Among Educators. Journal of Marketing Education, 43(2), 189–203. https://doi.org/10.1177/0273475320948570
Crittenden, V. L. (2024). What Is the Future of Marketing Education? Journal of Marketing Education, 46(1), 3–5. https://doi.org/10.1177/02734753231220115
Guha, A., Grewal, D., & Atlas, S. (2024). Generative AI and Marketing Education: What the Future Holds. Journal of Marketing Education, 46(1), 6–17. https://doi.org/10.1177/02734753231215436
Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science, 49(1), 30–50. https://doi.org/10.1007/s11747-020-00749-9
Jatmika, R. T. D., Ratnasari, V., & Nadlifatin, R. (2024). Empowering Micro-Entrepreneurs through Artificial Intelligence: A Conceptual Framework for AI-Based Marketing. Procedia Computer Science, 234, 1087–1094. https://doi.org/10.1016/j.procs.2024.03.103
Jürgensmeier, L., & Skiera, B. (2024). Generative AI for scalable feedback to multimodal exercises. International Journal of Research in Marketing, 41(3), 468–488. https://doi.org/10.1016/j.ijresmar.2024.05.005
Kumar, V., Ashraf, A. R., & Nadeem, W. (2024). AI-powered marketing: What, where, and how? International Journal of Information Management, 77, 102783. https://doi.org/10.1016/j.ijinfomgt.2024.102783
Kurtzke, S., & Setkute, J. (2021). Analytics Capability in Marketing Education: A Practice-Informed Model. Journal of Marketing Education, 43(3), 298–316. https://doi.org/10.1177/02734753211042404
London Business School ChatGPT Basics. (n.d.). Faculty Development and Academic Quality Manual. Retrieved June 8, 2025, from https://teaching.london.edu/london-business-school-chatgpt-basics/
Mehmet, M., Papakosmas, M., Kyriazis, E., & Nikidehaghani, M. (2025). Re-Imagining Marketing Education for Career Readiness in the GenAI Era. Journal of Marketing Education, 02734753251326457. https://doi.org/10.1177/02734753251326457
Muñoz, C. L., & Wood, N. T. (2015). Update Status: The State of Social Media Marketing Curriculum. Journal of Marketing Education, 37(2), 88–103. https://doi.org/10.1177/0273475315586596
Roose, K., & podcast, C. N. W. co-host the H. F. (2025, May 23). The Man Who ‘A.G.I.-Pilled’ Google. The New
York Times. https://www.nytimes.com/2025/05/23/podcasts/google-ai-demis-hassabis-hard-fork.html
Scheier, C., & Held, D. (2024). Double Impact: Harnessing Generative and Evaluative AIs for Effective Marketing Decisions. NIM Marketing Intelligence Review, 16(1), 36–41. https://doi.org/10.2478/nimmir-2024-0006
Weege, M., & Zweigle, T. (2025). AI in Marketing Education: Capabilities required of Marketers today. IU Discussion Papers Marketing Und Kommunikation, 5(2), 2. https://doi.org/10.56250/4049

This work is licensed under a Creative Commons Attribution 4.0 International License.
