The Russian economy is preparing for a historic turning point: President Vladimir Putin has initiated the creation of a fundamentally new system of state planning, named "Gosplan 2.0." The project is based on artificial intelligence technologies, designed to radically change the approach to managing production capacities and resource allocation.

How the system will work

According to the Ministry of Transport of the Russian Federation, the new platform will automate the distribution of production capacities across industries. This is not just a digitalization of old processes—the system will identify and eliminate factors that reduce the efficiency of technological chains.

A key feature of "Gosplan 2.0" is its ability to forecast needs for equipment, raw materials, and personnel. Machine learning algorithms will analyze vast amounts of data to determine research priorities and coordinate import substitution programs.

Special emphasis is placed on integrating enterprises into industrial clusters and cooperation networks. In effect, developers aim to "stitch together" disparate production facilities into a single, self-regulating ecosystem.

Who is behind the project

The consortium of developers includes key government bodies: the Ministry for the Development of the Russian Far East and Arctic, the Ministry of Energy, and the Presidential Administration. The project has already entered the practical stage—prototypes of individual modules have been created, and machine learning algorithms are being configured.

In parallel, organizers are attracting additional experts—specialists in artificial intelligence and big data analysis.

Cryptalist Analysis: The initiative marks an attempt to return to centralized planning, but at a technologically new level. The project's success will depend on data quality and the algorithms' ability to adapt to rapidly changing market conditions. If the system operates at full capacity, we may witness the most large-scale experiment in modern history involving the integration of AI into state governance.