Industry 6.0: the essence, trends and strategic opportunities for Russia

Abstract

The article presents the results of a systematic study of Industry 6.0 which is the future stage of industrial development characterized by intelligent and technological immersive hyperconnection and physical-cognitive-emotional fusion of virtual (superior to digital) twins of humans and machines. The authors carry out a literary review synthesis of the existing defi nitions of Industry 6.0, suggest the authors’ defi nition and concept, systematize key technologies by six research projections: intelligent automation, sustainable development, human-machine interaction, information technologies and cybersecurity, machine learning, human resource management. Special attention is paid to the distinctive features of Industry 6.0 compared to Industries 4.0 and 5.0. Industry 6.0 involves the ubiquitous fusion of virtual twins of humans and machines that allows implementing ultrapersonalized production and create emotionally intelligent ecosystems, often with the help of quantum technologies. The authors discuss the opportunities of implementing Industry 6.0 in Russia basing on the national strategies on the data economics, technological sovereignty and the ‘Technet’ program of the National Technological Initiative. The limitations of the study are connected with the futuristic nature of Industry 6.0 concept, lack of suffi cient empiric base and limited amount of relevant scientifi c publications. The directions of further research may include development of practical models for the integration of intelligent ecosystems of Industry 6.0 into Russian production and technology sectors. Special attention should be paid to the development of the methods for assessment of economic and social effect from the implementation of the key technologies such as multiagent systems, quantum computing and the emotional intelligence of machines as well as to the study of the ways of their adaptation within the national strategies of technological sovereignty and the economics of data.