Artificial intelligence in business: Challenges and development prospects (foresight 2024)
https://doi.org/10.35854/1998-1627-2025-2-179-195
Abstract
Aim. The work aimed to identify the main challenges and prospects for the implementation of artificial intelligence (hereinafter referred to as AI) in management processes, taking into account technological, social and economic factors influencing the efficiency and sustainability of business.
Objectives. The work seeks to study the key trends in the integration of AI into business; to assess the impact of AI on decision-making, process automation, and human capital development; to identify potential risks, including cybersecurity and ethical issues; to propose a strategic roadmap for the implementation of AI to improve the competitiveness of enterprises.
Methods. The authors used foresight analysis to identify and predict the development of key trends. The empirical analysis was based on the data obtained during the foresight session held on September 16, 2024, at the Southern Federal University. The work employed the methods of expert survey, scenario analysis, and semantic modeling.
Results. Four key factors determining the success of AI implementation were identified, namely technology and innovation, human capital, financing and partnership, risks and ethical aspects. It was revealed that the dynamics of growth in the number of patents and commercial solutions in the field of AI indicate the strategic importance of the technology for business. Key challenges were highlighted, namely the need to invest in personnel training, the establishment of ethical standards, and strengthening of regulatory framework. A roadmap for the implementation of AI in management processes has been developed, including the stages of preparation, pilot implementation, scaling, and optimization.
Conclusions. The study of the processes of implementing AI in business demonstrates the significant potential of the technology for improving the efficiency of management and the competitiveness of enterprises. However, successful integration requires an integrated approach that includes the development of human capital, regulation of legal aspects and consideration of ethical risks.
About the Authors
S. V. Savin
LLC “Rezalt Region”; Southern Federal University
Russian Federation
Competing Interests:
Russian Federation
Sergei V. Savin, General Director; postgraduate student
82/1 Orbitalnaya st., Rostov-on-Don 344114, Russia
105/42 Bolshaya Sadovaya st., Rostov-on-Don 344022, Russia
Competing Interests:
The authors declare no conflict of interest related to the publication of this article.
A. D. Murzin
Southern Federal University; Don State Technical University
Russian Federation
Competing Interests:
Russian Federation
Anton D. Murzin, PhD in Economics, D.Sc. in Engineering, Associate Professor, Professor at the Department of Management of Spatial and Economic Systems Development, Faculty of Management; Professor at the Department of Management and Business Technologies
105/42 Bolshaya Sadovaya st., Rostov-on-Don 344022, Russia
Gagarin sq., Rostov-on-Don 344003, Russia
Researcher ID: F-6037-2014
Scopus Author ID: 56592239800
Competing Interests:
The authors declare no conflict of interest related to the publication of this article.
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Review
For citations:
Savin S.V., Murzin A.D. Artificial intelligence in business: Challenges and development prospects (foresight 2024). Economics and Management. 2025;31(2):179-195. (In Russ.) https://doi.org/10.35854/1998-1627-2025-2-179-195
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