Russia aims for AI leadership by 2030

Russia has the potential to improve its global AI standing by 2030, bolstered by local talent and the development of its own generative AI models, according to Alexander Vedyakhin, the first deputy CEO of Sberbank. Speaking at the bank’s AI Journey conference, Vedyakhin highlighted the resilience of Russian developers in navigating Western sanctions, which aimed to limit the country’s computing resources. He emphasised the importance of fostering experimentation to maintain progress in AI.

Although Russia currently trails the US and China in AI innovation by six to nine months, Vedyakhin is optimistic about closing the gap. Instead of building massive data centres, Russia is focusing on smart AI models tailored to its market, similar to Meta’s Llama. These efforts, he said, will ensure technological sovereignty, especially as generative AI gains global importance. For example, Russian language models address local cultural contexts better than English-trained systems, avoiding misunderstandings like misinterpreting cultural dishes.

President Vladimir Putin also underscored the strategic significance of AI, announcing plans to collaborate with BRICS countries to challenge US dominance. Vedyakhin added that while Europe and China face setbacks due to overregulation, Russia’s supportive regulatory environment could be a competitive advantage. Encouraging investment in AI startups and allowing for innovation without severe penalties for mistakes are key to advancing the sector.

Despite a broader decline in venture capital investment in Russia, funding for AI startups continues to grow, hinting at a more diversified market. Vedyakhin also suggested that decentralised autonomous organizations (DAOs), powered by blockchain, could address labour shortages, paving the way for Russia to strengthen its AI ecosystem in the years ahead.