Core Scientific Secures $1B to Pivot from Bitcoin Mining to AI Infrastructure

March 5, 2026
Core Scientific Secures $1B to Pivot from Bitcoin Mining to AI Infrastructure
  • Core Scientific has secured up to $1 billion in financing from Morgan Stanley to accelerate its pivot from Bitcoin mining to high-density AI infrastructure and colocation services.

  • This financing follows the company’s Q4 earnings, which included a $175 million sale of Bitcoin as part of its shift toward AI-focused data center offerings.

  • The loan supports repurposing existing data centers for AI compute, with plans to monetize most of its Bitcoin holdings in 2026 to fund the pivot.

  • The facility bears interest at SOFR plus 2.5%, and includes an accordion option that could expand commitments by up to $500 million.

  • Proceeds will be used for general corporate purposes tied to expanding data center assets, including equipment purchases, real estate acquisitions, and securing additional power agreements.

  • Shares were down roughly 1% in pre-market trading following the financing news.

  • Analysts at Compass Point reiterated a Buy rating with a $28 target, expressing confidence in Core’s ability to attract investment-grade tenants for its leasable sites.

  • CEO Adam Sullivan said the loan strengthens liquidity and flexibility to speed project readiness and competitiveness in AI infrastructure provisioning.

  • Post-restructuring, Core has been repurposing data center assets for AI/HPC workloads, including a multi-year agreement to supply HPC capacity for CoreWeave starting mid-2024.

  • The company has sold over 1,900 BTC in January 2026, leaving around 630 BTC as of the fourth quarter earnings call.

  • The financing will accelerate development of data center infrastructure and energy arrangements, reinforcing Core’s shift toward AI-related workloads.

  • Core Scientific operates seven U.S. facilities, with several sites in Texas transitioning away from Bitcoin mining to serve AI and high-density computing needs.

Summary based on 4 sources


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