Russia’s AI trajectory: five global trends shaping the future

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At a major international forum titled Journey to the World of Artificial Intelligence, Deputy Prime Minister Dmitry Chernyshenko outlined Russia’s intent to stay at the forefront of the fast-accelerating global artificial intelligence race. He framed the moment as a crucible where national ambition, policy, and research converge to shape the next wave of technological advancement. This outline was presented to a wide audience of scientists, policymakers, and industry leaders, signaling the nation’s strategic commitment to AI as a key driver of economic and social progress.

Chernyshenko identified five dominant global trends shaping artificial intelligence today and into the near future. He began with the push by states toward technological sovereignty in the face of mutual restrictions. As nations selectively shield their own breakthroughs, the ability to access critical technologies becomes a strategic advantage and a point of policy contention on the international stage. This trend underscores the imperative for resilient domestic ecosystems that can compete and collaborate without surrendering strategic autonomy.

The second trend highlighted is the intensifying competition for talent. Governments are actively seeking to create compelling conditions for AI professionals, researchers, and engineers, recognizing that human capital is the engine that powers national AI ecosystems. The emphasis is on attracting, training, and retaining top minds who can drive innovation, ensure robust development pipelines, and accelerate practical deployments across sectors. This focus on people complements investments in infrastructure and platforms, ensuring a steady stream of skilled experts to sustain momentum.

Chernyshenko also stressed the importance of strengthening AI security. As AI systems become more embedded in critical processes, governments and industries are prioritizing safeguards against misuse, bias, and vulnerability. This commitment involves developing governance frameworks, robust testing, and transparent oversight to protect citizens while enabling responsible experimentation and deployment.

The fourth trend concerns researchers across disciplines who are increasingly leveraging large language models and generative AI. Scientists are exploring how these powerful tools can accelerate discovery, support collaboration, and unlock new capabilities in fields ranging from science and engineering to medicine and education. The emphasis is on harnessing advanced AI for credible experimentation, reproducible results, and scalable solutions that can transfer from the lab to real-world applications.

The fifth trend Chernyshenko cited is the growing economic impact of AI. Expert estimates project a substantial contribution to global GDP as adoption expands across industries and geographies. The momentum suggests a future where AI-enabled productivity not only improves efficiency but also opens new markets, creates opportunities for startups, and reshapes business models. In Russia, official forecasts align with a broader view that AI will become a central pillar of economic strategy, driving competitive advantages and informing policy decisions across the board.

Chernyshenko noted that the transition from early-stage development to practical application has already taken hold in many sectors within Russia. The government has been proactive in building platform solutions and integrating AI into daily operations. A concrete example is the work of the Russian Federal Tax Service, which has used AI for several years to analyze receipts at cash register terminals by product names, providing clearer insights into consumption trends. This capability supports better decision making and more accurate data analysis while illustrating how AI can be scaled across public services and industry alike. The emphasis on real-world implementation highlights the shift from theoretical potential to tangible results that improve efficiency, transparency, and accountability across the economy.

Looking ahead, the Journey AI conference plans to explore the latest advances in artificial intelligence, the role of AI in new scientific breakthroughs, and its impact on business and social development. The event also aims to inspire young people to engage with AI, helping to cultivate the next generation of researchers and practitioners who will carry the field forward. Attendees will examine practical deployment strategies, ethical considerations, and the broader societal implications of accelerating AI adoption, all within a global context that includes Canada, the United States, and other leading economies. This international collaboration is essential for sharing best practices, aligning standards, and spurring innovations that can benefit a wide range of industries and communities.

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