Research on trends in the use of artificial intelligence at the level of industrial development project management

In the context of the transition to a new technological paradigm, the digital transformation of industry is becoming especially relevant, requiring the implementation of large-scale projects through the involvement of state support institutions. In Russia, such an institution is the Industrial Development Fund (IDF), which is an effective tool for supporting projects. At the same time, artificial intelligence (AI) technologies are of particular interest as promising forms of digitalization, which are equally effective for optimizing the operations of industrial enterprises and for managing large-scale projects. In this regard, the goal of the article is to study the trends in the use of AI at the level of industrial development project management, achieved by addressing the following tasks: the activities of the IDF were analyzed, organization’s priority areas were identified; the dynamics of digitalization indicators for enterprises that received IDF support for industrial development projects from 2015 to 2023 were examined, with a forecast for 2025; the impact of digitalization on the project development of high-tech industries was determined through correlation-regression analysis; a set of recommendations for the development of AI at the level of industrial development project management was proposed. The article uses statistical data processing methods, a third-degree polynomial trend line and correlation-regression analysis. Based on the results, the following conclusions and recommendations were made: it is recommended to implement AI technologies in the IDF’s activities for analyzing projects, as well as processing complex, large, unstructured data, assessing the probabilities and consequences of risks, diagnosing the financial model of a project and automating document workflow; the IDF is recommended to collaborate with IT project support funds to coordinate requests from industrial enterprises and proposals from AI technology developers; industrial enterprises are recommended to actively implement AI to create smart factories (fully automated and robotic, controlled by AI), maintain equipment, monitor, control product quality, optimize supply chains etc. In the context of further research, it is of interest to develop targeted recommendations for the development and implementation of AI technologies in the activities of funds supporting large-scale projects, as well as in the operations of industrial enterprises.