Wells Fargo Upheld AI Data Center Ratings

The firm maintained Overweight ratings on five major data center and HPC operators amid massive sector financing needs.

Updated on Oct. 7, 2026 in Data Centers

Isometric editorial illustration of industrial data center cooling towers and conduit bundles, representing the scale of high-performance computing infrastructure.
Wells Fargo maintained Overweight ratings on five data center and HPC operators, citing significant capital requirements for future infrastructure expansion projects. AI Illustration. Upload story photo >

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Wells Fargo has maintained Overweight ratings on Applied Digital, TeraWulf, Hut 8, Cipher, and Core Scientific. Analysts project these firms will collectively seek more than $20 billion in secured debt over the coming quarters.

Why it matters

The sector relies on securing substantial capital to expand infrastructure for AI and high-performance computing. Analysts consider investment-grade lease backstops to be the primary catalyst for finalizing these necessary debt arrangements.

Project bonds backed by AWS and NVIDIA currently yield between 6.8% and 7.2%, while debt tied to CoreWeave or Oracle leases commands yields of 8% or higher. These figures help evaluate tenant credit quality for potential financing.

The players

Wells Fargo

This is a major American multinational financial services firm that provides investment banking and market research.

Applied Digital

The company operates next-generation data centers designed for high-performance computing and artificial intelligence applications.

TeraWulf

This firm focuses on the development and operation of low-cost, zero-carbon digital infrastructure for the data center industry.

Hut 8

This entity provides infrastructure solutions for high-performance computing and digital asset mining across North America.

Core Scientific

The company is a large-scale provider of infrastructure and software solutions for high-performance computing and data processing.

The details

Wells Fargo evaluated the capital requirements of these firms using an 80% loan-to-cost ratio for companies like Applied Digital. The industry is currently balancing significant expansion plans, including 300 megawatts of expected deliveries by Q3 2026 and potential large-scale lease signings.

Timeline

  1. October 6, 2026: Wells Fargo issued earnings preview ratings.

  2. Q3 2026: The sector expects 300 megawatts of power deliveries.

  3. Q1 2027: A potential 400 MW Muskie lease sign-off is expected for TeraWulf.

  4. Q4 2027: Projected quarterly sector revenue reaches $1.2 billion.

  5. 2028: TeraWulf targets initial utility-power ramping for the Muskie phase.

The Tech Race

The sector's heavy reliance on project bonds signals a departure from traditional corporate financing toward asset-backed structures for high-performance computing infrastructure. This positioning mirrors the broader arms race among data center operators to secure reliable power and capacity for massive AI deployments.

As operators secure billions in debt, the scale and speed of available computing resources for AI tools will increase. Users can expect better performance and capacity as these massive infrastructure projects move from financing to active operation.

The takeaway

The heavy capital expenditure required for AI infrastructure means investors should monitor credit quality and lease backstops closely. These financial indicators serve as the best proxy for gauging which firms will successfully scale their operations over the next three years.

Further reading

For more information on the infrastructure build-out, visit the Data Centers section.

Source note: This article includes information reported by Blockspace Media.

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