The government subcommittee reviewed more than 170 project indicators across 16 sectors, approved calculation methods for more than 100 metrics, and locked an online monitor in the state system FGIS KI. Proposals to cut administrative barriers for developers sit inside the same draft.
Dmitry Grigorenko chaired the government subcommittee on artificial intelligence Wednesday and put hard numbers on a plan that, until now, has been mostly architecture.
The session ran at 17:00 in the Situational Center of the Government. Grigorenko, deputy chairman of the government and head of the Government Apparatus, led the review. On the table: key performance indicators for AI implementation covering 2027 through 2030. Those indicators are slated for the national plan on AI in the economy, the social sphere and public administration.
The indicators do three jobs. They name where the technology is supposed to land. They set target values. They name who has to hit them. Officials said the point is to judge results in specific sectors and regions, not merely count pilot projects and finished solutions.
That is a different test than a project tally.
At the federal level, more than 170 project indicators have been drawn up across 16 sectors. Thirty-two departments carry responsibility for meeting them. Sectoral and cross-sectoral indicators sit alongside that set, meant to track market movement and how far the technology has spread — in single industries, and across the country.
Sixteen sectors. Thirty-two owners. A count above 170.
The national plan also carries proposals to strip excessive administrative barriers that slow AI development and deployment. The release points to concrete norms and procedures that would have to change: access to data, working conditions for developers, rollout of AI solutions, and the infrastructure those solutions need. Specialized working groups of the subcommittee built the list, with departments and AI industry representatives in the room. A separate section of the plan is reserved for support measures aimed at developers and at companies putting the technology to work.
For executives tracking compliance exposure, the responsible-department list is the operative document. For developers, the barrier section is the one that names data access, operating conditions and infrastructure in the same breath as support.
Grigorenko tied the package to a shift in how Moscow will score progress. His statement, issued with the government account of the meeting:
«Разработка национального плана задаёт системный подход к внедрению искусственного интеллекта в России. В документе определены конкретные меры, ответственные ведомства и измеримые показатели. Это позволяет перейти от оценки количества разработок к оценке реального эффекта от применения искусственного интеллекта в экономике, социальной сфере и госуправлении. Зафиксированные показатели также позволят на регулярной основе контролировать ход внедрения технологии и своевременно принимать управленческие решения», – сказал Дмитрий Григоренко.
In the English rendering published with that account, he said the national plan sets a systematic approach to introducing artificial intelligence in Russia, defines specific measures, responsible departments and measurable indicators, and moves the test from the quantity of developments to the real effect of AI in the economy, the social sphere and public administration. Fixed indicators, he said, will also allow regular monitoring and timely management decisions.
The subcommittee did not invent the assignment. President Vladimir Putin had earlier instructed the government, working with regional heads, to prepare and approve a national plan for AI technologies in the economy, the social sphere and public administration — at the federal level and at the level of the subjects of the Federation. Wednesday’s meeting is the machinery under that order.
Two decisions closed the session. Methodologies for calculating more than 100 indicators were approved. Those methods are meant to underpin any later reading of how fast AI is moving into key economic sectors. The structure of online monitoring for the national plan was approved as well. That monitoring is to run in the state information system FGIS KI.
Approval of the math matters as much as approval of the targets. Without a shared calculation method, a department can report movement that another department cannot reproduce. FGIS KI is the channel named for the running check.
Government photographs from the Situational Center show others in the room. Maxim Kolesnikov, first deputy minister of economic development, appears in one frame. Another shows Alexey Chukarin, director of the Center for Expertise and Coordination of Informatization, with Chulpan Gossamova, general director of the autonomous noncommercial organization Digital Economy. The release does not quote them.
What the subcommittee has not published, in this account, is the indicator list itself, the ruble or unit targets, or the text of the barrier proposals. It has published the frame: years, sector count, department count, a support section, approved methods, and a named monitoring system.
The sequence is now plain enough for anyone building against it. Indicators for 2027–2030 go into the national plan. More than 170 project markers already exist at federal level, spread over 16 sectors, with 32 departments on the hook. Extra market and penetration markers sit beside them. Barrier cuts and developer support are written into the plan’s structure, drawn from working groups that included industry. Calculation methods for more than 100 indicators are approved. The watch function is assigned to FGIS KI.