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Sberbank CEO Questions Benefits of Russia’s Digital Rouble Initiative

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German Gref, CEO of Russia’s largest lender Sberbank, expressed skepticism on Wednesday about the potential advantages of Russia’s digital rouble project, aside from possible benefits in cross-border settlements. Speaking at a financial forum in St Petersburg, Gref said he did not personally see the need for digital roubles and was uncertain how they would significantly improve Russia’s financial system.

The Bank of Russia recently announced that from September 1, 2026, Russian banks will be required to enable customers to make payments using digital roubles, with the project’s launch delayed by more than a year. The initiative is part of a global trend, with over 130 countries exploring digital currencies as they adapt to declining cash usage and challenges posed by cryptocurrencies like Bitcoin.

Moscow hopes the digital rouble will ease foreign trade payments complicated by Western sanctions linked to the Ukraine conflict. However, Gref highlighted that Russian banks already have advanced digital payment capabilities and reiterated his view that the digital rouble is unlikely to transform the domestic economy. While he acknowledged a potential role for the digital currency in international transactions, he sees no clear domestic advantage at present.

Russia’s Sberbank to Launch Advanced Reasoning Large Language Model

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Russia’s largest bank, Sberbank, is preparing to release an upgraded version of its large language model (LLM) called GigaChat, which will feature reasoning capabilities capable of scientific research and solving complex problems, according to First Deputy CEO Alexander Vedyakhin. He revealed that he is currently testing the beta version of this new model.

The enhanced GigaChat aims to handle sophisticated tasks in areas such as science, coding, and mathematics, similar to advanced LLMs launched by global leaders like OpenAI. Despite trailing U.S. and Chinese AI developers by six to nine months, Sberbank’s use of domestic cloud infrastructure and localized language adaptation makes GigaChat especially attractive to Russian corporate users.

Currently, about 15,000 Russian companies employ Sberbank’s GigaChat. Meanwhile, Yandex, a key domestic AI competitor, recently announced reasoning capabilities in its search engine, highlighting the competitive AI landscape in Russia.

Sberbank Plans AI Collaboration with China Amid DeepSeek’s Rise

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Sberbank, Russia’s largest bank, is set to collaborate with Chinese researchers on artificial intelligence (AI) projects, a top executive revealed, following the groundbreaking success of China’s DeepSeek AI model. DeepSeek, which has created a highly cost-effective AI model, has shaken up the tech landscape, challenging the dominance of U.S. companies like Nvidia. This move reflects the growing collaboration between Russia and China, which share a “no limits” strategic partnership, particularly in the realm of AI.

Under CEO German Gref, Sberbank has transitioned from its bureaucratic past as a Soviet-era state savings bank into a leader in AI innovation. In 2023, the bank launched its own AI model, GigaChat, and is now focusing on joint research projects with China. Alexander Vedyakhin, Sberbank’s First Deputy CEO, confirmed the plans but refrained from naming specific Chinese research partners. The partnership is expected to strengthen the scientific ties between the two countries, in line with Russia’s broader push to expand cooperation with China in areas such as military AI applications.

DeepSeek’s innovative, low-cost AI models have caused a stir globally, with investors now viewing them as serious competition for U.S. tech giants. The potential Russia-China AI alliance could further disrupt the global AI sector, especially as the race between China and the U.S. for AI supremacy intensifies. The shared vision of Presidents Vladimir Putin and Xi Jinping, who view the West as in decline, could fuel further collaboration in emerging technologies like AI, quantum computing, and synthetic biology.

Despite facing sanctions, Russia is eager to build AI partnerships with China and other BRICS nations to counterbalance U.S. dominance. However, Russia’s own AI progress remains difficult to gauge, as some projects are classified. Additionally, both Russia and China struggle with limited domestic computing power due to sanctions, prompting efforts to seek alternative methods to stay competitive in the AI race.

Sberbank’s comparison of its GigaChat MAX model to DeepSeek’s offerings reveals that while DeepSeek excels in scientific tasks, GigaChat remains competitive in the banking sector. Vedyakhin acknowledged DeepSeek’s success as proof that quality AI models can be built without massive investments in infrastructure, such as the U.S. megaproject Stargate. Sberbank, like DeepSeek, has made most of its AI platforms publicly accessible, including its text-to-image model, Kandinsky, and GigaChat Lite, which reflects a more transparent approach than that of OpenAI, drawing a large community.