At a discussion titled More than Learning during the Seventh Sber University Conference, Sberbank’s chairman, German Gref, highlighted artificial intelligence as the core technology reshaping the modern world. His remarks framed AI not as a passing trend but as the central force driving significant shifts across every sector and economy.
Gref then turned to the future frontier, general artificial intelligence or AGI. He described AGI as a level of machine intelligence capable of not only executing self-actualization and highly specialized tasks but also handling almost any assignment that a human could define. He asserted that this breakthrough in AI capability could arrive in the 2030s, potentially years ahead of how many experts gauge the timeline. The claim underscores a belief that rapid progress in AI technologies may compress timeframes once thought to be conservative. (Source: Sberbank briefing, conference remarks)
During his presentation, the Sber executive outlined what the adoption of artificial intelligence could yield over the next decade. He noted that advances in large language models and generative AI are projected to contribute a substantial global economic uplift, with estimates approaching seven trillion dollars in added GDP. Moreover, the forecast for average annual GDP growth could climb markedly as AI technologies mature and expand across industries. (Source: Sberbank briefing, conference remarks)
Gref emphasized that artificial intelligence is already changing the world around us, a transformation that will accelerate as AI tools become more capable and accessible. The implications span education, manufacturing, finance, healthcare, transportation, and public services. In their view, businesses and governments will increasingly rely on AI to optimize decision-making, automate routine tasks, and unlock new product and service models. This shift holds particular relevance for North American markets, where AI adoption is rapid and investment in AI research, infrastructure, and talent continues to surge. (Source: Sberbank briefing, conference remarks)
The discussion also touched on the practical steps needed to harness AI responsibly. Leaders highlighted the importance of robust data governance, transparent model development, and clear accountability for AI-driven outcomes. They urged ongoing collaboration between the public and private sectors to establish standards, address ethical concerns, and ensure that AI benefits are broadly shared. The emphasis on governance and responsible innovation aligns with broader policy debates in Canada and the United States about workforce transitions, safeguards, and the social implications of automation. (Source: Sberbank briefing, conference remarks)
As AI technology continues to evolve, organizations across North America are preparing for a future in which AI augments human capabilities rather than merely replaces them. The potential uplift in productivity, new job categories, and opportunities for regional growth are touted as reasons to invest in AI literacy, reskilling programs, and next-generation research. While the path forward may include challenges—such as ensuring data privacy, mitigating bias, and maintaining security—the overarching message is one of preparation and proactive governance to maximize benefits for workers and consumers alike. (Source: Sberbank briefing, conference remarks)