Expert: Converting Bitcoin Mining Sites to AI Data Centers Is Not Viable in Russia

Despite aggressive moves by Western publicly traded miners to repurpose bitcoin mining facilities for artificial intelligence workloads, such a transition is currently not economically viable in Russia due to structural constraints, according to industry experts.

Alexander Lozben, founder and CEO of infrastructure company Interhash, said in an interview with Crypto.ru that the main obstacles are fundamental infrastructure incompatibility and the lack of meaningful domestic demand for AI compute.

“Bitcoin mining data centers are largely unsuitable for neural network workloads,” Lozben said. “They rely on completely different hardware, cooling standards, and power density requirements. In practice, when you attempt this kind of conversion, almost nothing carries over except the grid connection and internet access.”

In Western markets, large-scale AI demand is driven by hyperscalers and technology giants such as OpenAI, Microsoft, and other cloud and AI platform providers. These customers are willing to sign long-term contracts that justify heavy capital investment in GPU-based infrastructure.

Russia, however, lacks a comparable customer base, Lozben said. Domestic demand for large-scale AI computing is limited to a small number of organizations, creating concentration risk for infrastructure providers and undermining the economic case for conversion.

“As a result, the business model that works for miners in the US or Europe does not translate to the Russian market,” he added.

According to Lozben, purpose-built AI data centers require entirely different design principles, including advanced liquid cooling, higher rack densities, and specialized networking. Retrofitting existing mining facilities would require near-total reconstruction, eliminating any cost advantage from reuse.

While the global mining industry continues to diversify into AI and high-performance computing, Russia’s mining sector remains largely tied to bitcoin due to these structural and market limitations.

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