emjumeЭкономика и управлениеEconomics and Management1998-16273033-7984СПбУТУиЭ10.35854/1998-1627-2025-2-179-195emjume-2405Research ArticleМЕНЕДЖМЕНТ ОРГАНИЗАЦИИBUSINESS MANAGEMENTИскусственный интеллект в бизнесе: вызовы и перспективы развития (форсайт 2024)Artificial intelligence in business: Challenges and development prospects (foresight 2024)https://orcid.org/0009-0004-4627-5576СавинС. В.SavinS. V.

Сергей Владимирович Савин, генеральный директор; аспирант344114, Ростов-на-Дону, Орбитальная ул., д. 82/1344022, Ростов-на-Дону, Большая Садовая ул., д. 105/42 

Sergei V. Savin, General Director; postgraduate student82/1 Orbitalnaya st., Rostov-on-Don 344114, Russia105/42 Bolshaya Sadovaya st., Rostov-on-Don 344022, Russia

sesavin@sfedu.ruhttps://orcid.org/0000-0001-9190-8919МурзинА. Д.MurzinA. D.

Антон Дмитриевич Мурзин, кандидат экономических наук, доктор технических наук, доцент, профессор кафедры управления развитием пространственно-экономических систем факультета управления;  профессор кафедры менеджмента и бизнес-технологии344022, Ростов-на-Дону, Большая Садовая ул., д. 105/42344003, Ростов-на-Дону, пл. Гагарина, д. 1Researcher ID: F-6037-2014Scopus Author ID: 56592239800

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 Technologies105/42 Bolshaya Sadovaya st., Rostov-on-Don 344022, RussiaGagarin sq., Rostov-on-Don 344003, RussiaResearcher ID: F-6037-2014Scopus Author ID: 56592239800

admurzin@sfedu.ruООО «Резалт Регион»; Южный федеральный университетLLC “Rezalt Region”; Southern Federal UniversityЮжный федеральный университет; Донской государственный технический университетSouthern Federal University; Don State Technical University202525032025312179195Copyright © Савин С.В., Мурзин А.Д., 20252025Савин С.В., Мурзин А.Д.Savin S.V., Murzin A.D.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://emjume.elpub.ru/jour/article/view/2405

Цель. Определить основные вызовы и перспективы внедрения искусственного интеллекта (далее — ИИ) в управленческие процессы с учетом технологических, социальных и экономических факторов, влияющих на эффективность и устойчивость бизнеса.Задачи. Исследовать ключевые тенденции интеграции ИИ в бизнес; оценить влияние ИИ на принятие решений, автоматизацию процессов и развитие человеческого капитала; выявить потенциальные риски, включая кибербезопасность и этические вопросы; предложить стратегическую дорожную карту внедрения ИИ для повышения конкурентоспособности предприятий.Методология. Авторами применены методы форсайт-анализа, позволяющие выявить и прогнозировать развитие ключевых трендов. Основой эмпирического анализа стали данные, полученные в ходе форсайт-сессии, проведенной 16 сентября 2024 г. в Южном федеральном университете. Использованы методы экспертного опроса, сценарного анализа и семантического моделирования.Результаты. Выявлено четыре ключевых фактора, определяющих успешность внедрения ИИ: технологии и инновации, человеческий капитал, финансирование и партнерство, риски и этические аспекты. Показано, что динамика роста количества патентов и коммерческих решений в области ИИ свидетельствует о стратегическом значении технологии для бизнеса. Выделены основные вызовы: необходимость инвестиций в подготовку кадров, формирование этических стандартов и усиление нормативного регулирования. Разработана дорожная карта внедрения ИИ в управленческие процессы, включающая в себя этапы подготовки, пилотного внедрения, масштабирования и оптимизации.Выводы. Изучение процессов внедрения ИИ в бизнес демонстрирует значительный потенциал технологии для повышения эффективности управления и конкурентоспособности предприятий. Однако успешная интеграция требует комплексного подхода, включающего в себя развитие человеческого капитала, регулирование правовых аспектов и учет этических рисков.

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.

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The authors declare that there are no conflicts of interest present.