FUTURE OF ADVERTISING: UNIVERSITY STUDENTS ON AI TECHNOLOGIES
Abstract and keywords
Abstract (English):
The current transformations in the media industry are fueled by the rapid advancement of artificial intelligence and evolving consumer patterns. The article describes the trends and forecasts in the advertising industry over the next 20–30 years from the perspective of marketing research and media communication theory. The methodology employed a qualitative approach and the method of focus groups. Such facilitation techniques as Aquarium and Me, We, Us made it possible to collect individual opinions, whose synergistic effect enhanced the reliability of prognostic judgments. The authors obtained expert assessments from the university students of advertising and PR as future actors in the media industry. The respondents anticipated the dominance of generative content, strong emotional impact, conciseness, and interactivity in advertising communications. They expressed their concern about superficial content, fakes, and the devaluation of professional skills. In addition, they highlighted ethics and corporate social responsibility as important for content formation. According to the students, the inevitable synergistic partnership of people and technology will eventually shape a new paradigm of media communications founded on trust, personalization, and technologically fortified consumer interaction.

Keywords:
future advertising, digital advertising, media industry, advertising content, trends, artificial intelligence
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References

1. Algaliyeva G. S., Shalkarbek A. Artificial intelligence as a factor of PR, marketing and media space transformation. Rossiiskaya shkola svyazei s obshchestvennostyu, 2024, (33): 10–27. (In Russ.) https://elibrary.ru/fbqxgg

2. Anofrikov D. O. The impact of corporate social responsibility on promoting an organization’s. Herald of Siberian Institute of Business and Information Technologies, 2024, 13(2): 63–67. (In Russ.) https://doi.org/10.24412/2225-8264-2024-2-797

3. Bekakhmetova A., Shirokova Ya. A. Ethics and transparency in marketing communications: Challenges and practical solutions. Science Time, 2024, (12): 59–67. (In Russ.)

4. Beloyedova A. V., Romanova V. P. Artificial intelligence in advertising: Technological and legal challenges. Issues in Journalism, Education, Linguistics, 2024, 43(3): 255–265. (In Russ.) https://doi.org/10.52575/2712-7451-2024-43-3-255-265

5. Dolzhenkov V. N. The characteristics and features of the interactive model of communication. Philology. Theory & Practice, 2018, (3-2): 307–309. (In Russ.) https://doi.org/10.30853/filnauki.2018-3-2.22

6. Dudorov A., Dudorova L. The big book of facilitation. A practical guide for working with teams. Moscow: Bombora, 2024, 384. (In Russ.)

7. Zimina L. O., Swarovskaya E. B. On the issue of the effectiveness of using neural networks in advertising communication. The world of science, culture and education, 2024, (4): 388–390. (In Russ.) https://doi.org/10.24412/1991-5497-2024-4107-388-390

8. Kayukova A. E. Authentic marketing as a modern concept. Social-humanitarian problems of education and professional self-realization: Social Engineer 2022: Proc. All-Russian Sci. Conf. with Intern. Participation, Moscow, 12–16 Dec 2022. Moscow: RSU named after A. N. Kosygin, 2022, 227–231. (In Russ.) https://elibrary.ru/tarlyl

9. Lobanova S. N. Gamification in communications. Vestnik of the Plekhanov Russian University of Economics, 2023, 20(5): 208–216. (In Russ.) https://doi.org/10.21686/2413-2829-2023-208-216

10. Melnikova I. Yu., Ababkova M. Yu., Volkova K. A. Application of entertainment communications in the Russian media market: Problems and prospects. Scientific Research and Development. Modern Communication Studies, 2024, 13(3): 85–91. (In Russ.) https://doi.org/10.12737/2587-9103-2024-13-3-85-91

11. Mikhailov B. A. The digital advertising revolution: Dynamic targeting and budgeting using artificial intelligence. Current Research, 2023, (6): 102–107. (In Russ.) https://doi.org/10.5281/zenodo.15050260

12. Molodtsov I. N. Media and advertising: A publisher’s view. Humanities and Social Sciences. Bulletin of the Financial University, 2021, 11(5): 135–138. (In Russ.) https://doi.org/10.26794/2226-7867-2021-11-5-135-138

13. Nezamova O. A., Shaporova Z. E., Olentsova Yu. A. Marketing development in the context of digitalization. E-Management, 2024, 7(3): 61–69. (In Russ.) https://doi.org/10.26425/2658-3445-2024-7-3-61-69

14. Tatarinov K. A. Immersive advertising in the digital age. Vestnik Altaiskoi akademii ekonomiki i prava, 2025, (3-2): 326–333. (In Russ.) https://doi.org/10.17513/vaael.4062

15. Chernykh V. V. On the issue of information flows and the cognitive sphere of human. Molodezhnyi innovatsionnyi vestnik, 2022, 11(S1): 590–592. (In Russ.) https://elibrary.ru/qrccxu

16. Shafir T. V. Artificial intelligence and human expression: Creative strategies in media. Journalism of the future: Dialogue in the metaverse: Proc. I Mediaforum of researchers and practitioners. Kazan, 6–8 Nov 2024. Kazan: KFU, 2024, 566–579. (In Russ.) https://elibrary.ru/rwtlyn

17. Shevchenko D. A., Kryukova E. M., Zelenov V. V., Galstyan V. V. Harnessing the power of artificial intelligence in advertising. Practical Marketing, 2024, (1): 60–64. (In Russ.) https://doi.org/10.24412/2071-3762-2024-1319-60-64

18. Chandrasekaran V. Machine learning in AdTech: Transforming digital advertising. International Journal of Computer Engineering and Technology, 2025, 16(1): 567–577. https://doi.org/10.34218/IJCET_16_01_048

19. Joshi S., Bhattacharya S., Pathak P., Natraj N., Saini J., Goswami S. Harnessing the potential of generative AI in digital marketing using the behavioral reasoning theory approach. International Journal of Information Management Data Insights, 2025, 5(1). https://doi.org/10.1016/j.jjimei.2024.100317

20. Klein G., Jarosz A. A naturalistic study of insight. Journal of Cognitive Engineering and Decision Making, 2011, 5(4): 335–351. https://doi.org/10.1177/1555343411427013

21. Kufile O. T., Otokiti B. O., Onifade A. Y., Ogunwale B., Okolo C. H. Leveraging cross-platform consumer intelligence for insight-driven creative strategy. International Scientific Refereed Research Journal, 2023, 6(2): 116–133.

22. Sarp S. Artificial intelligence in advertisements: A conceptual framework based on the technology acceptance model. Economics, Business and Organization Research, 2023, 5(2): 161–174.

23. Spais G., Jain V. Consumer behavior’s evolution, emergence, and future in the AI age through the lens of MR, VR, XR, metaverse, and robotics. Journal of Consumer Behaviour, 2025, 24(3): 1275–1299. https://doi.org/10.1002/cb.2468

24. Verma S., Sharma R., Deb S., Maitra D. Artificial intelligence in marketing: Systematic review and future research direction. International Journal of Information Management Data Insights, 2021, 1(1). https://doi.org/10.1016/j.jjimei.2020.100002

25. Xu H., Chang B. Goodwill or just for show? The effects of different corporate social justice statements and the role of perceived authenticity. Journal of Communication Management, 2023, 27(1): 493–521. https://doi.org/10.1108/JCOM-09-2022-0105

26. Yu Y. The role and influence of artificial intelligence on advertising industry. Proceedings of the 2021 International Conference on Social Development and Media Communication (SDMC 2021). Atlantis Press, 2022, 190–194. https://doi.org/10.2991/assehr.k.220105.037


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