Artificial intelligence in designing construction structures: economic problems and prospects

the introduction of artificial intelligence into the design of construction facilities determines significant transformations in the industry, due to cost savings and increased efficiency as a result of the creation of innovative solutions. However, this process is fraught with significant problems that manifest themselves in practice. This article analyzes the main economic barriers to the widespread use of artificial intelligence in construction design, suggests ways to overcome them, and evaluates the economic prospects for using this technology in this area. In particular, the following problems of introducing artificial intelligence into the design of construction facilities were considered: high initial investments, difficult calculation of efficiency, delayed economic effect, resource intensity of data collection and purification, incompatibility of formats, shortage of specialists at the interface of artificial intelligence and design, the need for retraining costs, the risk of errors due to insufficient staff training, ambiguity distribution of legal responsibility in case of artificial intelligence errors, lack of uniform standards and regulatory frameworks. The results of the study indicate the need for a strategic approach to the implementation of artificial intelligence in the design of construction facilities, including government support, partnership development and investments in human capital, in order to fully realize its economic potential.

artificial intelligence, construction engineering, construction economics, design automation, cost optimization, economic efficiency