Specifics of Cross-Border Business Functioning in the Field of Generative Artificial Intelligence
https://doi.org/10.38050/2078-3809-2025-17-3-85-105
Abstract
The relevance of the study is determined by the rapid development of generative artificial intelligence (gen-AI) technologies, which today are becoming an important factor in the transformation of the global economy. The aim of the article is to determine the prospects for the development of cross-border business in the field of generative artificial intelligence (gen-AI business). The study used methods of conceptual analysis, foresight and strategic OTSW analysis. The potential of gen-AI as a tool for business commercialization and a source of systematic income is revealed. The author's typology of businesses based on the use of gen-AI is proposed. Problems and areas of development of cross-border gen-AI business are identified, and the potential for niche development for Russian companies under sanctions is substantiated. It is concluded that in the interests of developing crossborder gen-AI business, corporations should more actively invest in research and development, adapt to changes in the market environment, while it is important for national governments to support innovative companies by creating a favorable and economically safe regulatory environment and developing digital infrastructure.
About the Authors
M. V. Kulakov
Lomonosov Moscow State University
Russian Federation
Russian Federation
Mikhail V. Kulakov, Doctor in Economics, Professor, Faculty of Economics
Moscow
L. A. Sorokina
Moscow Exchange;
Lomonosov Moscow State University
Russian Federation
Russian Federation
Lidia A. Sorokina, Head of direction; Faculty of Economics
Moscow
S. B. Karlovskaya
Shenzhen MSU-BIT;
Lomonosov Moscow State University
Russian Federation
Russian Federation
Sofia B. Karlovskaya, Candidate of Economic Sciences, Associate Professor
Moscow
References
1. Атабекова А.А. Генеративный искусственный интеллект в современном университете. Образовательная политика и практика, обучение иностранным языкам и переводу: монография. М.: ЮНИТИ-ДАНА, 2024. С. 8–12.
2. Жуков А.Д. Генеративный искусственный интеллект в образовательном процессе: вызовы и перспективы // Вестник Московского государственного университета культуры и искусств. 2023. № 5 (115). С. 66–75.
3. Кулаков М.В., Маклакова Ю.А. Криптовалюта: трудный путь от де-факто к де-юре // Вест. Моск. ун-та. Сер. 6. Экономика. 2021. № 3. С. 271–286 https://doi.org/10.38050/013001052021312
4. Понкин И.В. Применение генеративного искусственного интеллекта в научных исследованиях и в прикладной аналитике в обеспечение государственного управления: позитивные возможности и «подводные камни» // International Journal of Open Information Technologies. 2025. Т. 13. № 1. С. 100–113.
5. Сушкова О.В. Правовые особенности использования и регулирования генеративного искусственного интеллекта для развития инновационной деятельности субъектами бизнеса // Вестник Университета имени О.Е. Кутафина. 2024. № 10 (122). С. 44–51.
6. Цифровые технологии будущего в настоящем / Президентская академия; авторы-составители: Н.С. Гаркуша, А.С. Шубин. М.: Российская акад. нар. хоз-ва и гос. службы. 2023. 153 с.
7. Autio E., Mudambi R., Yoo Y. Digitalization and globalization in a turbulent world: Centrifugal and centripetal forces // Global Strategy Journal. 2021. Vol. 11. No. 1. P. 3–16. https://doi.org/10.1002/gsj.1396
8. Bloomberg Gen AI Overview. London, N. Y.: Bloomberg, 2025. 98 p.
9. Bonadio E., McDonagh L. Artificial intelligence as producer and consumer of copyright works: evaluating the consequences of algorithmic creativity // Intellectual Property Quarterly. 2020. Vol. 2020. No. 2. P. 112–137. https://ssrn.com/abstract=3617197
10. Chui M. et al. The economic potential of generative AI. McKinsey. 2023. 68 p. http://dln.jai-puria.ac.in:8080/jspui/bitstream/123456789/14313/1/The-economic-potential-of-generative-ai-the-next-productivity-frontier.pdf
11. Coeuré B. The competitive dynamics of generative artificial intelligence // Journal of Antitrust Enforcement. 2025. jnaf002. https://doi.org/10.1093/jaenfo/jnaf002
12. Cohan P. Generative AI Software // Brain Rush: How to Invest and Compete in the Real World of Generative AI. Berkeley, CA: Apress, 2024. P. 111–166. https://doi.org/10.1007/979-8-8688-0318-5_5
13. Cooke P. Generative growth with ‘thin’globalization: Cambridge’s crossover model of innovation // Dislocation: Awkward spatial transitions. Routledge, 2021. P. 115–134.
14. Davtyan T. An Overview of Global Efforts Towards AI Regulation // Bulletin of Yerevan University C: Jurisprudence. 2024. Vol. 15. No. 2 (41). P. 158–174. https://doi.org/10.46991/BYSU.C/2024.15.2.158
15. Fetzer T. et al. AI-generated production networks: Measurement and applications to global trade // ECONtribute Discussion Paper. 2024. – No. 346. https://www.econstor.eu/han-dle/10419/307310
16. Generative AI Outlook: 2025 Update. London: Deloitte. 2025. 66 p.
17. Hahn C. et al. Exploring AI-driven business models: conceptualization and expectations in the machinery industry // 2020 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2020. P. 567–570. https://doi.org/10.1109/IEEM45057.2020.9309824
18. Hallensleben S. Generative AI and international standardization // Cambridge Forum on AI: Law and Governance. Cambridge University Press, 2025. Vol. 1. P. e14. https://doi.org/10.1017/cfl.2025.1
19. Hosanagar K., Krishnan R. Who Profits the Most from Generative AI? // MIT Sloan Management Review. 2024. Vol. 65. No. 3. P. 24–29.
20. Huang K., Xie A. Overview of ChatGPT, Web3, and New Business Landscape // Beyond AI: ChatGPT, Web3, and the Business Landscape of Tomorrow. Cham: Springer Nature Switzerland, 2023. P. 3–36. https://doi.org/10.1007/978-3-031-45282-6_1
21. Hu S., Li Y. Policy interventions and regulations on generative artificial intelligence: key gaps and core challenges // Proceedings of the 25th Annual International Conference on Digital Government Research. 2024. P. 1034–1036. https://doi.org/10.1145/3657054.3659122
22. Jain H. et al. (eds.). Call for papers – Special issue of information systems research –Humans, algorithms, and augmented intelligence: The future of work, organizations, and society // Information Systems Research. 2018. Vol. 29. No. 1. P. 250–251. https://doi.org/10.1287/isre.2018.0784
23. Kang H.G., Moon A., Jeon S. Examining the Generative Artificial Intelligence Landscape: Current Status and Policy Strategies // Asia pacific journal of information systems. 2024. Vol. 34. No. 1. P. 150–190. https://doi.org/10.14329/apjis.2024.34.1.150
24. Kasap A. Copyright and creative artificial intelligence (AI) systems: A twenty-first century approach to authorship of AI-generated works in the United States // Wake Forest J. Bus. and Intell. Prop. L. – 2018. – Vol. 19. – P. 335.
25. Krause D. DeepSeek and FinTech: The Democratization of AI and Its Global Implications (January 29, 2025). Available at SSRN: https://ssrn.com/abstract=5116322 http://dx.doi.org/10.2139/ssrn.5116322
26. Lancieri F., Edelson L., Bechtold S. AI Regulation: Competition, Arbitrage and Regulatory Capture // Center for Law and Economics Working Paper Series. 2024. Vol. 11. https://doi.org/10.3929/ethz-b-000708626
27. Luitse D., Denkena W. The great transformer: Examining the role of large language models in the political economy of AI // Big Data and Society. 2021. Vol. 8. No. 2. https://doi.org/10.1177/20539517211047734
28. Mehmet M. et al. Re-Imagining Marketing Education for Career Readiness in the GenAI Era // Journal of Marketing Education. 2015. https://doi.org/10.1177/02734753251326457
29. Okaiyeto S.A. et al. Success of DeepSeek and potential benefits of free access to AI for globalscale use // International Journal of Agricultural and Biological Engineering. 2025. Vol. 18. No. 1. P. 304–306. https://doi.org/10.25165/j.ijabe.20251801.9733
30. Pattanayak S. Generative AI in Business Consulting: Analyzing its Impact on Client Engagement and Service Delivery Models // International Journal of Enhanced Research in Management and Computer Applications. 2020. Vol. 9. No. 3. P. 5–11.
31. Sengar S.S. et al. Generative artificial intelligence: a systematic review and applications // Multimedia Tools and Applications. 2024. P. 1–40. https://doi.org/10.1007/s11042-024-20016-1
32. Sokołowski W., Ficoń K., Florczyk-Żółtowska M. Data is the fuel of generative artificial intelligence // Systemy Logistyczne Wojsk. 2024. Vol. 60. No. 1. https://doi.org/10.37055/slw/193858
33. Terzis P. Law and the political economy of AI production // International Journal of Law and Information Technology. 2023. Vol. 31. No. 4. P. 302–330. https://doi.org/10.1093/ijlit/eaae001
34. Wamba S.F. et al. Are both generative AI and ChatGPT game changers for 21st-Century operations and supply chain excellence? // International Journal of Production Economics. 2023. Vol. 265. 109015. https://doi.org/10.1016/j.ijpe.2023.109015
35. Zatarain J.M.N. The role of automated technology in the creation of copyright works: the challenges of artificial intelligence // International Review of Law, Computers and Technology. – 2017. – Vol. 31. – No. 1. – P. 91–104. https://doi.org/10.1080/13600869.2017.1275273
36. Икбаев Д., Емельянцев Д. McKinsey: К 2030 году вклад ИИ в мировой ВВП достигнет $13-20 трлн // Forbes Казахстан. 06.07.2024: URL: https://forbes.kz/articles/mckinsey-k-2030-godu-vklad-ii-v-mirovoy-vvp-dostignet-13-20-trln-824162 (дата обращения: 04.02.2025).
37. Интеллект взял ростом. Генеративный российский ИИ внедряют активнее ChatGPT // Коммерсантъ. 21.01.2025 г.: URL: https://www.kommersant.ru/doc/7444379 (дата обращения: 04.02.2025).
38. Между хайпом и реальностью: объем мирового рынка генеративного ИИ в 2024 году с прогнозом до 2032 года // Росатом. 27.02.2024 г.: URL: https://habr.com/ru/companies/rosatom/ar-ticles/796537/ (дата обращения: 04.02.2025).
39. Пшинник К. Почему китайская ИИ-модель от DeepSeek – это начало новой «гонки вооружений» // Forbes. 29.01.2025 г.: URL: https://www.forbes.ru/tekhnologii/529699-pocemu-kit-ajskaa-ii-model-ot-deepseek-eto-nacalo-novoj-gonki-vooruzenij (дата обращения: 04.02.2025).
40. Gartner Experts Answer the Top Generative AI Questions for Your Enterprise: URL: https://www.gartner.com/en/topics/generative-ai (дата обращения: 04.02.2025).
41. Generative AI: The next frontier. London: PwC, 2024. 28 p.: URL: https://www.pwc.in/as-sets/pdfs/generative-ai-next-frontier-transformation-global-capability-centres-pharma-life-sci-ences.pdf (дата обращения: 04.02.2025).
42. Oracle and Accenture Generative AI: Unlocking Enterprise Value Are you prepared for the Gen AI revolution? 2024.: URL: https://www.oracle.com/a/ocom/docs/accenture-generative-ai.pdf (дата обращения: 04.02.2025).
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For citations:
Kulakov M.V., Sorokina L.A., Karlovskaya S.B. Specifics of Cross-Border Business Functioning in the Field of Generative Artificial Intelligence. Scientific Research of Faculty of Economics. Electronic Journal. 2025;17(3):85-105. (In Russ.) https://doi.org/10.38050/2078-3809-2025-17-3-85-105
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