The impact of generative artificial intelligence on industry productivity in the context of the Russian economy

Aim. The emergence of the modern general-purpose technologies makes it possible to use them effectively in solving practical economic problems, including increasing productivity. In this regard, it is relevant to assess the impact of generative artificial intelligence on industry productivity, which determined the purpose of this work. Methodology. The modified production function of D. Asemoglu was used as a methodological basis. Based on the meta-analysis, penetration coefficients were obtained for each type of economic activity, and their development trajectories were modeled. Results. In economic activities where the influence of generative artificial intelligence slightly increases productivity, additional support measures are needed to train and improve the skills of existing employees, which will at least partially offset the personnel deficit in the Russian economy. Research implications. The theoretical value of the work lies in the development of a methodological basis for analyzing labor productivity. The practical value of the work lies in the formation of recommendations for increasing the growth of industrial output by increasing productivity in the context of the Russian economy.