Abstract
The developed AI-model is presented, designed to predict Russia's GDP based on a set of data reflecting the development of the real sector of the economy for 2011 - 2019, including the dynamics of freight turnover. The theoretical foundations of GDP forecasting in conditions of market uncertainty and the formation of a digital economy have been investigated. The experience of using artificial intelligence systems for collecting and processing Big Data in order to predict time series is considered. A hypothesis was put forward and proved that using the AI-model, it is possible to obtain a forecast of Russia's GDP for the next year based on a set of data reflecting the development of the real sector of the economy for 2011 - 2019, including the dynamics of freight turnover.
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