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TeraWulf Plans $3.5 Billion Debt Deal to Build Massive Anthropic-Leased AI Data Center in Kentucky

Data Centers
Data Centers – Fueling AI and Cloud Growth. [TechGolly]

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The global artificial intelligence boom is triggering an unprecedented construction campaign. As foundation model developers compete to build increasingly complex systems, the physical infrastructure supporting these programs is hitting its limits. Building, powering, and cooling the massive computing clusters required to run modern artificial intelligence models demands billions of dollars in upfront capital.

In a major move to fund this expanding sector, digital infrastructure developer TeraWulf announced plans to raise approximately $3.5 billion in debt.

The primary purpose of the financing is to construct a state-of-the-art data center campus in Kentucky.

The transaction represents a milestone for TeraWulf, marking the company’s first entry into the U.S. leveraged loan market.

By diversifying its financing strategy beyond traditional high-yield bonds, the Nasdaq-listed infrastructure firm is joining a select group of technology operators utilizing institutional loan markets to fund high-growth capital projects.

This debt campaign is supported by an exceptionally lucrative commercial agreement.

In early July 2026, TeraWulf signed a historic 20-year lease agreement with artificial intelligence developer Anthropic PBC.

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Under the terms of the lease, Anthropic will occupy a purpose-built AI infrastructure campus at TeraWulf’s Justified Data site in Hawesville, Kentucky.

The agreement is expected to generate approximately $19 billion in contracted revenue over its initial term, providing the long-term cash flow visibility that institutional debt investors demand.

Inside the Milestone $19 Billion Anthropic Lease

The long-term lease between TeraWulf and Anthropic represents one of the largest physical infrastructure transactions in the history of the artificial intelligence sector.

As software developers scale their model sizes, they require dedicated, secure access to massive amounts of electrical power, a requirement that traditional multi-tenant cloud providers are struggling to meet.

Demystifying the Hawesville Justified Data Site

The physical location of the new development is Hawesville, Kentucky, situated approximately an hour southwest of Louisville.

The site, named the Justified Data campus, is currently under construction and has been designed from the ground up to support the extreme heat densities and power requirements of next-generation artificial intelligence processors.

The initial phase of the lease covers approximately 401 megawatts of critical IT load.

To put this number in perspective, 401 megawatts is enough electricity to power roughly 300,000 standard residential homes.

This immense power capacity will be dedicated entirely to running high-performance graphics processing units and specialized AI accelerators for Anthropic.

The campus will be constructed in phases, with the initial capacity scheduled to come online in the second half of 2027, before reaching full operational capacity by early 2028.

The Multi-Billion-Dollar Shift from Bitcoin Mining to AI Infrastructure

TeraWulf’s transition into a major artificial intelligence hosting provider highlights a broader trend among digital infrastructure operators.

The company originally launched as a cryptocurrency mining firm, utilizing cheap, reliable electricity connections to run thousands of specialized application-specific integrated circuits for mining Bitcoin.

While Bitcoin mining remains a profitable business segment under favorable market conditions, it is inherently volatile and sensitive to cryptocurrency price cycles.

By contrast, hosting infrastructure for artificial intelligence training offers incredibly stable, high-margin, and long-term revenue streams.

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Realizing this potential, TeraWulf has systematically redirected its engineering talent, land holdings, and power capacity toward building advanced data centers.

The $19 billion contract with Anthropic serves as a strong validation of this corporate pivot, proving that the company’s ability to secure large-scale electrical power is a highly valuable asset in the modern digital economy.

Decoding the $3.5 Billion Debt Package and Leveraged Loan Entrance

To fund the rapid construction of the 401 MW Kentucky campus, TeraWulf is launching a massive capital-raising campaign.

Chief Financial Officer Patrick Fleury confirmed that the company is preparing to raise about $3.5 billion in debt later this year.

Morgan Stanley Leads the Highly Anticipated Transaction

Global investment bank Morgan Stanley is set to lead the debt offering, continuing its role as TeraWulf’s primary financial advisor.

The transaction is structured to include a hybrid mix of leveraged loans and high-yield, or junk, bonds.

This approach allows TeraWulf to target different segments of the credit market, maximizing liquidity while keeping interest expenses manageable.

While entering the leveraged loan market is a first for TeraWulf, the firm has a history of pioneering aggressive financing strategies in the digital infrastructure sector:

  • October Debt Issuance: TeraWulf became the first former Bitcoin miner to access the high-yield junk bond market, successfully raising $3.2 billion.
  • December Bond Offering: The company followed up its initial success by selling an additional $1.3 billion in high-yield debt to institutional buyers.
  • Revolving Credit Line: Earlier this year, the company secured a $250 million revolving credit line.

CFO Patrick Fleury indicated that many of the institutional lenders who participated in the revolving credit facility are actively discussing taking part in the upcoming $3.5 billion Justified Data financing.

The strong institutional interest shows that the debt market is growing increasingly comfortable with treating AI data centers as reliable, asset-backed infrastructure investments, similar to traditional toll roads, electrical grids, or oil pipelines.

Capital Recycling and the Strategic Abernathy Divestment

To complement the $3.5 billion debt raise and free up additional liquidity, TeraWulf is executing a disciplined capital recycling program.

The company recently agreed to sell its 50.1% ownership stake in the Abernathy Joint Venture to an investor group led by Fluidstack, its existing joint venture partner.

The Abernathy Joint Venture was established last year to construct a 168-megawatt AI data center campus in Abernathy, Texas.

By selling its majority stake to Fluidstack, TeraWulf will monetize its approximately $450 million investment in the Texas project.

The proceeds from this divestment will be redirected entirely to fund wholly owned projects, most notably the Justified Data campus in Kentucky.

This divestment represents a significant strategic choice by TeraWulf’s leadership, headed by Chairman and CEO Paul Prager.

While joint ventures are useful for sharing early-stage construction risks, maintaining 100% ownership of its core assets allows TeraWulf to retain complete operational control, protect its proprietary design techniques, and capture the entirety of the long-term lease revenues.

By prioritizing its wholly owned Kentucky site, the firm can focus its resources on delivering the massive 401 MW campus for Anthropic on schedule.

The Surging Waves of Global AI Debt Financing

TeraWulf’s massive debt plan is unfolding against the backdrop of an unprecedented fundraising campaign across the global technology sector.

As corporations scramble to secure the computing power needed to maintain their competitive edge, the total volume of AI-related debt financing is hitting historic records.

According to data compiled by financial analysts, global AI-related debt financing—which includes capital raises by cloud hyperscalers like Amazon and advanced communications firms like SpaceX—has reached approximately $335 billion since the beginning of the year.

This volume represents more than a doubling of the debt issued during the same period in the previous year.

Historically, technology companies funded their growth almost exclusively through equity issuance or retained corporate earnings.

However, the sheer scale of the physical infrastructure buildout required for AI has made equity-only funding highly dilutive for shareholders.

By turning to the leveraged loan and high-yield bond markets, infrastructure developers can leverage their long-term customer commitments—such as Anthropic’s $19 billion lease—to secure large-scale, low-cost debt capital.

This trend is reshaping the high-yield credit market, turning digital infrastructure into one of the fastest-growing segments of the corporate debt landscape.

Looking Ahead to a Supply-Constrained Market

The agreement between TeraWulf and Anthropic, supported by a $3.5 billion debt package, represents a significant development in the evolution of artificial intelligence infrastructure.

As the physical limits of power availability and data center space become the primary constraints on AI model development, the companies that can secure land, power, and capital will occupy a dominant position in the global supply chain.

TeraWulf’s ability to transition from cryptocurrency mining to high-performance AI hosting, while successfully accessing institutional loan markets, serves as a clear blueprint for other digital infrastructure operators.

As the construction of the Justified Data campus in Kentucky progresses toward its 2027 launch date, the project will be watched closely by both the technology and financial sectors.

The success of this development will prove that specialized, long-term infrastructure partnerships are the key to unlocking the true scale of the artificial intelligence revolution.

EDITORIAL TEAM
EDITORIAL TEAM
Al Mahmud Al Mamun leads the TechGolly editorial team. He served as Editor-in-Chief of a world-leading professional research Magazine. Rasel Hossain is supporting as Managing Editor. Our team is intercorporate with technologists, researchers, and technology writers. We have substantial expertise in Information Technology (IT), Artificial Intelligence (AI), and Embedded Technology.
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