20% Of Large Russian Companies Already Use Generative AI In Their Work

Posted by By Dan Taylor 3 Min Read

A significant shift towards generative artificial intelligence (AI) usage is underway in the Russian corporate sector.

According to the recent study “Artificial Intelligence in Russia – 2023: Trends and Prospects,” conducted by Yakov and Partners in collaboration with Yandex, 20% of large Russian companies have already integrated generative AI into their operations.

This study provides an insightful analysis of the AI market in Russia and globally, evaluating the economic impact and key application areas of this transformative technology.

The study reveals that among these companies, 12% have prioritized specific functions and scenarios for employing generative AI, while approximately 27% are actively experimenting with the technology.

These figures highlight a growing trend of AI integration into business processes across Russia.

A noteworthy finding is the widespread adoption of OpenAI solutions (GPT-4, GPT-3.5) by all surveyed companies using generative AI. Additionally, 80% of these businesses leverage YandexGPT for text-related tasks, and over 40% utilize Kandinsky for image processing.

Generative AI is primarily being applied in marketing and sales (66% of implementations), customer service (54%), research and development (49%), and IT (31%). This trend aligns with global patterns in AI utilization.

The survey underscores the significant benefits of AI integration into business, with 94% of companies reporting cost reductions as a key outcome.

In the consumer sector, which includes banking, retail, media, telecommunications, e-commerce, and IT, around one-third of companies anticipate that AI will boost revenues, enhance product value, and consequently, increase customer loyalty.

Experts predict that by 2028, the economic potential of AI in Russia could reach 22–36 trillion rubles, with roughly 70% of this potential originating from six key industries: transport and logistics, banking, retail, mining, consumer goods, and the IT sector.

The projected effect on GDP from AI adoption could be up to 4%, translating to 4.2–6.9 trillion rubles, of which 0.8-1.3 trillion rubles could be attributed to generative AI.

Further insights from the study, including comparative analyses of YandexGPT 2 and OpenAI’s GPT 3.5 by Yandex specialists, are accessible via the provided link.

This recent comparison revealed that in 63% of cases, Yandex’s language model outperforms OpenAI’s neural network, suggesting a competitive edge in the Russian AI landscape.

Source: Yandex Blog for Webmasters

 

Dan Taylor
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Dan Taylor is the founder and editor of International Search Insights (ISI), the publication behind ReadIsi, and a Partner and Head of Innovation (Search & AI) at SALT.agency. He has worked in search for more than a decade, in-house and agency-side, and is regarded as one of the West’s leading voices on search engines beyond Google, including Yandex, Baidu, Naver and Cốc Cốc. On ReadIsi, Dan covers the engines and AI answer platforms that English-language coverage tends to miss: Baidu and ERNIE, Yandex and Alice AI, Naver, Cốc Cốc, Shenma, Sogou, WeChat and Weibo search, plus DeepSeek and Alibaba’s Qwen. He also keeps dated records of documented changes, such as the Yandex, Baidu and Naver algorithm update histories and the DeepSeek, ERNIE and Qwen model update histories. His approach is to take learnings from global search engines and apply logic with a high evidence threshold. A claim needs a source, patterns seen in one market are treated as a hypothesis until they are checked in another, and where the evidence is thin he says so. For brands, that means advice built on what can be shown, with measurement that separates being cited from being chosen. Dan is credited with coining the term “edge SEO” and won the inaugural TechSEO Boost research competition in 2018 for his work on CDN and edge changes for SEO. In 2026 he was credited with coining “Infinite Tail” to describe how keyword research is changing with AI search. He is the author of AI Search Marketing For The Travel Sector, writes for Search Engine Journal, Search Engine Land and Travel Marketing Guy, and has advised technology, SaaS, travel and enterprise ecommerce brands, including Cloudflare, GitLab and Airbnb. He has given multiple talks and panels at the International Search Summit in Barcelona, and has also spoken at Optimization Moscow, brightonSEO, Google Search Central Live Deep Dive Asia in Bangkok, Athens SEO and the Asia SEO Virtual Summit 2026, where his talk looked at how Baidu, Naver, DeepSeek, Tencent, Cốc Cốc and Yandex built their own AI answers.
Founder & Editor