Stock Markets June 4, 2026 10:30 AM

Bernstein Says Bitcoin Miners Poised to Supply AI Data Center Capacity Quickly

Analyst argues large-scale power portfolios and rapid build capability give miners an edge in meeting surging AI compute demand

By Maya Rios WULF CIFR

Bernstein initiated Outperform ratings on TeraWulf and Cipher Digital, saying Bitcoin miners have contracted multi-gigawatt power capacity to hyperscalers and neocloud operators and are well-placed to deliver operational AI data center capacity rapidly. The firm projects steep growth in AI-related revenue across its coverage, with specific company forecasts showing large revenue and margin expansion by 2030.

Bernstein Says Bitcoin Miners Poised to Supply AI Data Center Capacity Quickly
WULF CIFR

Key Points

  • Bernstein started coverage with Outperform ratings on TeraWulf and Cipher Digital, arguing Bitcoin miners can rapidly supply AI data center capacity due to large power portfolios and operational readiness.
  • Miners have contracted about 6 GW of power to hyperscalers and neocloud operators across 17 deals worth over $110 billion in the past two years, representing roughly 10% of AI data centers under construction.
  • Bernstein projects aggregate AI revenue across its coverage to grow from $1.2 billion in 2026 to $10.7 billion by 2030, with specific company forecasts including TeraWulf reaching $1.7 billion in AI revenue by 2030 and Cipher Digital reaching about $1.2 billion by 2030.

Bernstein opened coverage of two publicly traded Bitcoin miners, assigning Outperform ratings to TeraWulf and Cipher Digital, and made the case that miners possess a comparative advantage in supplying AI computing infrastructure. In a note released Thursday, analyst Gautam Chhugani highlighted the miners' combination of bulk power control and an ability to convert sites into operational data center capacity on a compressed timetable.

Chhugani said that, over the last two years, Bitcoin miners have contracted roughly 6 gigawatts of power capacity to hyperscalers and neocloud operators across 17 separate deals with an aggregate value exceeding $110 billion. According to Bernstein, those contracts account for about 10% of the AI data centers currently under construction.

"Bitcoin miners remain best positioned to solve 'time to compute' given their planned 30 GW power portfolio and operating ability to deliver 'warm powered shells' in time," Chhugani wrote, asserting that miners can rapidly provide partially finished, powered facilities that customers can outfit with compute hardware.


Firmwide AI revenue expectations

On a broader basis, Bernstein expects aggregate AI revenue across the companies it covers to expand sharply, forecasting a rise from $1.2 billion in 2026 to $10.7 billion by 2030 - roughly a ninefold increase.


TeraWulf and Cipher Digital: company specifics

TeraWulf received an Outperform rating with a $36 price target. Bernstein notes the company currently manages a 3.8 gigawatt power portfolio that was assembled through purchases of brownfield sites. The firm projects TeraWulf's AI-related revenue will climb from $14 million in 2025 to $1.7 billion by 2030, and that the associated EBITDA margins could reach approximately 84%. Bernstein also flagged that TeraWulf has about $1 billion in annual recurring revenue already contracted, a figure that includes a joint venture.

Cipher Digital was also given an Outperform rating, with a $32 price target. Bernstein reports Cipher carries an $11.4 billion order book, of which 67% is backed by hyperscalers. The company’s triple-net lease structure transfers operating costs fully to tenants, a contract design Bernstein says results in margins above 99% under that model. Bernstein projects Cipher Digital's AI revenue will reach approximately $1.2 billion by 2030, with EBITDA margins of approximately 93%.


Implications for power and data center markets

Bernstein's analysis ties the miners' opportunity directly to access to large-scale power and to the ability to deliver powered but lightly outfitted shells that customers can populate with AI hardware. The firm’s projections suggest material revenue upside for the miners it covers if demand for AI data center capacity develops as forecast.

Investors and market participants will likely watch contract execution, the pace of customer deployments into these powered shells, and how contractual structures allocate operating costs when assessing realized margins and cash flow durability.

Risks

  • Execution risk on converting contracted power and brownfield sites into revenue-generating AI data center capacity - impacts power, data center, and infrastructure investment markets.
  • Dependence on large hyperscaler customers and order-book realization - affects revenue visibility for miners and downstream data center operators.
  • Contract structure and tenant cost allocation could affect reported margins and cash flows if tenants' obligations or operations change - relevant to investors focused on profitability and balance-sheet strength.

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