Vladimir Potanin: AI Will Deliver a Major Economic Boost for Russia, but Won't Replace People

Vladimir Potanin believes artificial intelligence could become one of the main growth drivers for the Russian economy. But his argument isn't about machines replacing people. It's about speeding up processes, boosting efficiency, and building homegrown technology solutions.

Economy and productivity

In the interview, Potanin framed AI not as a trendy experiment but as an infrastructure technology that can affect the entire economy at once. For big business, that means more accurate planning, faster analytics, fewer losses, and automation of routine operations. For the state, it's a chance to raise productivity in industry, logistics, finance, and services. The core idea is simple: AI's impact isn't measured by the number of high-profile pilots, but by how deeply it's embedded in real workflows.

Translate the "colossal effect" claim into practical terms, and it's not only about chatbots or text generation. The most visible results usually come where systems help make decisions faster than a human could while remaining part of a controlled loop. This matters most in capital-intensive industries, where a single mistake is expensive and any gain in accuracy turns directly into money, faster timelines, and business resilience.

• Demand and supply forecasting
• Predictive equipment maintenance
• Automated analysis of documents, procurement, and reporting
• Faster engineering and research work

Sovereignty without isolation

Potanin also addressed Russia's position in the global AI race: in his view, the country should aim for third place behind the US and China. It's an ambitious but clear framework. It means Russia can't settle for being a consumer of other countries' models and platforms, especially in critical industries. It needs its own expertise, teams, compute capacity, and products that can be deployed without depending on foreign political decisions.

"Artificial intelligence will deliver a colossal economic effect for

Russia."

Still, Potanin's emphasis on sovereignty doesn't mean full self-isolation. The logic is different: build your own stack, but don't abandon international cooperation, open research, and best practices. The AI market isn't won by those who shut themselves off from the world, but by those who can quickly adapt global ideas to their own data, language, regulations, and industry needs. That's especially important for Russia, because local context often determines the quality of the final product.

• Develop homegrown models and applied AI services
• Invest in compute infrastructure and talent
• Deploy AI in industry, not just in demo products
• Keep access to global knowledge, open-source tools, and partnerships

Humans in the loop

The second part of his argument matters just as much: AI won't fully replace humans. For the corporate world, this reads almost like a framework for accountability. Algorithms can sort data, find patterns, and suggest courses of action, but goals, selection criteria, and the consequences of decisions stay with people. This is especially clear in production, finance, and security management, where the cost of an error outweighs the gains from full automation in any system.

The next few years will most likely be defined not by "machines instead of employees" but by a redistribution of roles. The work of analysts, engineers, managers, and office teams will change the most: less time spent gathering information and drafting, more on review, interpretation, and decision-making. In this model, the winners are companies that know how to train people to work alongside AI, not those that simply buy new tools to fill an innovation report.

What it means

Potanin's comments reflect big business's pragmatic approach to the AI market: the technology is treated not as a showcase but as a tool for growth and competitiveness. If Russia truly wants to play in the major league, it will have to invest in its own solutions, stay connected to the global market, and prepare people in advance for a new production and management environment, all at once and without illusions about quick, full automation.