Artificial Intelligence in the Sustainable Design and Manufacturing of Products in Civil Engineering in the Context of Industry 4.0

The implementation of smart technologies as well as artificial intelligence resulted in an increase in productivity and efficiency in production, optimization of costs, and automation of time-consuming processes. The situation is similar in the field of the production of construction products. Digitization and automation are challenges within Industry 4.0 (Construction 4.0), which are the subject and interest of several studies and discussions by experts in the field. The aim of the research is to analyze the relationships between digitization in the industry, artificial intelligence, and performance in the design, production, and use of construction products in the context of Industry 4.0 principles. The research uses primary and secondary data on the use of AI and its potential and impacts in the field of performance and efficiency in design, production, and use in civil engineering. Several statistical tools are used in the analysis, from descriptive statistics to the use of statistical tests and correlation and regression analysis. Spearman’s correlation coefficient was the primary tool for evaluating the dependence between variables. The research results point to the connection and dependence between the use of AI and digitization in individual design and production activities. Autonomous production machines, the production of ore products, and generative design represent areas of production in the construction industry, where the use of AI and digitization makes sense from the point of view of the performance of the results. Innovations and intelligent tools within the concept of Industry 4.0 (Construction 4.0) are, therefore, a prerequisite for an effective setting of design and production in this industry as well.