Artificial intelligence in the construction industry: digital transformation, technological innovations and system challenges

the article deals with the topical aspects of artificial intelligence (AI) implementation in the construction industry, which plays a strategic role in the Russian economy. The main attention is paid to modern technological solutions, such as the integration of AI with BIM-platforms, the use of robotics, drones and predictive analytics systems. It has been proved that the use of AI allows reducing design time by 40-45%, reducing errors in documentation by 60-65%, and minimizing financial risks by predicting cascading effects with an accuracy of 85-90%. The analysis of the identified problems shows that the key barriers to digitalization of the industry remain the shortage of qualified personnel, incompatibility of AI solutions with outdated infrastructure and conservative management approaches. The article proposes promising areas of development, including the creation of “smart” construction sites, the introduction of adaptive educational platforms with VR-technologies and the development of hybrid decision support systems. A special emphasis is made on the need to form a regulatory framework governing the issues of AI systems liability and data protection. The results of the study emphasize that successful digital transformation of construction requires consolidation of efforts of the state, business and science. Comprehensive implementation of AI technologies is able to optimize all stages of the life cycle of facilities, improve labor safety and ensure sustainable development of the industry in the context of global competition. The Russian construction industry (more than 10% of GDP) is facing the need for digitalization. AI and BIM technologies are transforming design, management and monitoring, but implementation is hampered by staff shortages, outdated infrastructure and conservative management. The research is based on the analysis of scientific works on predictive analytics, systematization of key directions of AI development and study of digitalization barriers. Methods of AI integration with BIM-platforms, assessment of economic efficiency of technologies, analysis of technical, personnel and organizational constraints in the construction industry were used. AI implementation has reduced design time by 40-45% and documentation errors by 60-65%. Robots (SAMs) and drones with AI reduced monitoring costs by 24-27%. VR simulators reduced injuries by 40-45%. Key barriers: staff shortage, finance, legal uncertainty. Solutions: infrastructure modernization, educational programs, government support. Prospects: autonomous robots, hybrid systems, standardization of AI solutions.

artificial intelligence, construction industry, BIM technologies, digital transformation, predictive analytics, robotics