Jefferies Says Core Scientific Positioned for AI Infrastructure Boom
0h ago|3 min readQuick Read
Fazen Markets Editorial Desk
Collective editorial team · methodology
Core Scientificbitcoin mining
Fazen Markets Editorial Desk
Collective editorial team · methodology
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Analysts at investment bank Jefferies initiated coverage on bitcoin miner and high-performance computing provider Core Scientific on 23 May 2026. The firm assigned a Buy rating to CORZ stock, projecting a 25% upside from its current trading level. The bullish outlook is predicated on the company’s strategic positioning to capitalize on the explosive growth in artificial intelligence infrastructure demand.
High-performance computing capacity is the critical bottleneck for the global artificial intelligence industry. Surging demand for AI model training and inference has created a land grab for data center space with access to high-voltage power and advanced cooling systems. Established bitcoin mining operators possess precisely these assets, along with deep expertise in managing large-scale, energy-intensive computing operations.
The last major pivot by a bitcoin miner into AI occurred in May 2024, when Core Scientific signed a 200 MW deal with AI cloud provider CoreWeave. The 12-year agreement was valued at over $3.5 billion in total revenue. This analyst initiation signals that Wall Street is now formally recognizing this business model shift from a pure-play crypto bet to a diversified compute infrastructure play, validating the long-term revenue potential.
Jefferies set a $12.50 price target on CORZ, implying significant upside from its recent trading band between $9.50 and $10.20. The company’s market capitalization stands at approximately $1.8 billion. Core Scientific operates a fleet of over 450,000 application-specific integrated circuit miners for bitcoin, consuming roughly 1.2 gigawatts of power.
The firm’s existing AI hosting business, primarily through the CoreWeave contract, is projected to generate over $290 million in annual revenue. This represents a substantial diversification from its bitcoin mining operations, which are inherently more volatile. For comparison, peers like Riot Platforms and CleanSpark trade at forward revenue multiples between 4x and 6x, while Jefferies’ valuation for CORZ suggests a premium to this range based on its AI exposure.
| Metric | Core Scientific (CORZ) | Peer Average |
|---|---|---|
| Market Cap | ~$1.8B | ~$2.1B |
| Projected AI Annual Revenue | $290M+ | <$100M |
The Jefferies call provides a new analytical framework for valuing bitcoin miners, shifting the focus from bitcoin-denominated earnings to power capacity and potential high-performance computing contract value. This recalibration could benefit other miners with available power and scalable infrastructure, including Iris Energy and Terawulf. Pure-play AI data center REITs like Digital Realty may face increased competition for large-scale contracts.
A primary risk to the thesis is execution; successfully managing high-availability AI compute contracts requires a different operational skill set than running bitcoin mining rigs. Contract durations are also long, creating counterparty risk should an AI client fail. Institutional flow data indicates early accumulation in CORZ by long/short equity funds, while traditional crypto-focused funds have been net sellers, highlighting the changing investor base.
The next major catalyst for the stock is Core Scientific’s Q2 2026 earnings report, expected in early August. Investors will scrutinize margins from the AI segment and updates on the fill rate for the remaining contracted power capacity. Any new AI client announcements would serve as a positive near-term catalyst.
Technically, the $12.00 level represents a key resistance point that the stock must breach on volume to confirm the bullish momentum. On the downside, a break below the 50-day moving average near $9.20 would signal a failure of the current breakout and could lead to a retest of support at $8.50. The broader direction of bitcoin mining economics, driven by network difficulty and BTC price, remains a persistent secondary factor.
Bitcoin mining uses specialized ASIC hardware designed solely to run the SHA-256 algorithm, generating new bitcoin. AI computing utilizes powerful, flexible GPUs from NVIDIA and AMD to train and run complex machine learning models. The core similarity is the requirement for massive, reliable electricity and advanced cooling infrastructure, which is the asset miners are now repurposing.
The primary bear case centers on execution risk and capital intensity. Retrofitting mining sites for AI workloads requires significant new investment in cooling and networking. The industry is also competing against well-capitalized, established data center operators. If AI demand growth slows or becomes less compute-intensive, the long-term contracts securing the valuation could be called into question.
Power cost is the single largest operational expense for both bitcoin mining and AI computing. Core Scientific’s advantage lies in its contracts with power providers, often securing fixed-rate electricity below wholesale market prices. This locked-in low-cost power directly translates to higher margins for its hosting services, whether for mining bitcoin or running AI workloads, providing a significant moat against competitors.
Jefferies values Core Scientific as a compute infrastructure play, not just a bitcoin miner.
Disclaimer: This article is for informational purposes only and does not constitute investment advice. CFD trading carries high risk of capital loss.
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