Jefferies Sees Core Scientific (CORZ) Well Positioned for AI Infrastructure Demand Growth
By Maksym Misichenko · Yahoo Finance ·
By Maksym Misichenko · Yahoo Finance ·
What AI agents think about this news
Despite analyst upgrades, CORZ's pivot to AI/HPC leasing faces execution risks, including legacy mining contract inflexibility, retrofitting costs, and regulatory bottlenecks for power interconnection.
Risk: Legacy mining contract inflexibility and regulatory bottlenecks for power interconnection
Opportunity: Potential for successful AI/HPC leasing and increased power capacity
This analysis is generated by the StockScreener pipeline — four leading LLMs (Claude, GPT, Gemini, Grok) receive identical prompts with built-in anti-hallucination guards. Read methodology →
Core Scientific, Inc. (NASDAQ:CORZ) is one of the 10 Best Stocks in Leopold Aschenbrenner’s Portfolio.
Jefferies raised its price target on Core Scientific, Inc. (NASDAQ:CORZ) from $24 to $37 on May 14, 2026. The firm’s analyst kept a Buy rating on the company’s stock. According to them, demand for AI data centers remains strong, with power availability the “binding constraint.” Success among providers will be determined by tenant credit quality, location durability, and development execution. Notably, Core Scientific, Inc. (NASDAQ:CORZ) was the first peer to pivot away from Bitcoin mining, securing the sector’s most favorable economics on its CoreWeave (CRWV) leases.
Prior to this adjustment, BTIG also raised the firm’s price target on Core Scientific, Inc. (NASDAQ:CORZ) from $23 to $33 on May 13, 2026. The firm’s analyst Gregory Lewis maintained a Buy rating on the shares. According to Gregory’s research note, the company is maintaining progress in building out its power portfolio. The firm further noted that the company has added 1.2 GW of approved power capacity this year, which is expected to positively influence its incremental high-performance compute contracts.
Founded in 2017, Core Scientific, Inc. (NASDAQ:CORZ) operates digital Bitcoin mining and high-performance computing infrastructure. Based in Delaware, the company leverages its own fleet of computers, called miners, to earn Bitcoin for its own account and also provides hosting services for Bitcoin mining and high-performance computing customers at US-based operational data centers.
While we acknowledge the potential of CORZ as an investment, we believe certain AI stocks offer greater upside potential and carry less downside risk. If you're looking for an extremely undervalued AI stock that also stands to benefit significantly from Trump-era tariffs and the onshoring trend, see our free report on the best short-term AI stock.
READ NEXT: Top 10 Stocks That Will Profit from AI and 10 Best Battery Technology Stocks to Buy Now
Disclosure: None. Follow Insider Monkey on Google News.
Four leading AI models discuss this article
"Analyst price-target hikes gloss over single-tenant and execution risks that could prevent CORZ from capturing durable AI infrastructure economics."
Jefferies and BTIG upgrades on CORZ to $37 and $33 reflect optimism around its early pivot to AI/HPC leasing with CoreWeave and 1.2 GW of new power approvals. Yet the article underplays that CORZ remains a former Bitcoin miner with execution risk on power buildout timelines, single-tenant concentration, and unproven ability to deliver at scale versus established data-center operators. The piece itself hedges by preferring other AI names with lower downside. Power may be the constraint, but securing durable contracts and avoiding cost overruns will determine whether targets hold.
If CoreWeave scales rapidly and CORZ meets its 2026 power milestones ahead of peers, the re-rating to 15x-plus multiples could still materialize despite the mining history.
"CORZ has genuine exposure to AI infrastructure tailwinds, but the article provides no evidence that its unit economics, contract stickiness, or execution track record justify a 54% upside over peers with similar exposure."
Two analyst upgrades in two days ($24→$37 Jefferies, $23→$33 BTIG) suggest real momentum, but the article conflates two separate theses: (1) AI datacenter demand is real and power-constrained, which is true; (2) CORZ is uniquely positioned to capture it, which is murkier. The CoreWeave lease economics are cited as a differentiator, but we don't have the actual contract terms, duration, or pricing power vs. competitors like Crusoe (CRSO) or Compute North. The 1.2 GW capacity addition is material, but the article doesn't disclose: how much is already spoken for, what utilization rates are assumed, or how CORZ's cost structure compares to pure-play AI infrastructure peers. The pivot from Bitcoin mining is framed as foresight, but it also signals CORZ needed to escape margin compression in mining—a potential red flag about capital discipline.
Analyst price targets often spike on sector momentum rather than fundamental re-rating; if CoreWeave or other tenants face capex delays or demand softness, CORZ's high fixed-cost datacenter base becomes a liability, not an asset.
"CORZ’s valuation is currently predicated on the successful conversion of legacy mining power capacity into high-margin HPC infrastructure, a transition that remains operationally unproven at scale."
The pivot from Bitcoin mining to High-Performance Computing (HPC) is a masterclass in capital recycling, but the market is pricing CORZ as a pure-play infrastructure winner while ignoring the execution risk of retrofitting legacy mining facilities. While the 1.2 GW power expansion is impressive, these sites were designed for density-agnostic mining, not the cooling and latency requirements of high-end GPU clusters. If Core Scientific cannot maintain its 'favorable economics' when negotiating future leases—or if power interconnection queues face further regulatory bottlenecks—the valuation gap between them and dedicated data center REITs like Equinix will compress sharply. CORZ is currently a high-beta play on the 'power-as-a-moat' thesis, which is priced for perfection.
The bull case assumes Core Scientific can successfully transition from a commodity mining operator to a sophisticated data center landlord, but they lack the historical track record of managing enterprise-grade SLAs for hyperscalers compared to established incumbents.
"CORZ's upside hinges on a tight set of conditions—significant AI infra demand, rapid monetization of 1.2 GW of capacity, and strong tenant credit—any miss on which could leave the stock trading well below the target."
Jefferies' 45% lift to $37 suggests the AI infra demand thesis is the primary driver, but the article glosses over execution and balance-sheet risk. Even with added power capacity, monetizing 1.2 GW hinges on tenants’ credit quality, stable long-term contracts, and timing of capital-intensive builds in a competitive market. CoreWeave leases may carry pricing pressure and concentration risk, while Core Scientific remains exposed to energy costs, regulatory headwinds, and the crypto-legacy stigma despite pivot. If AI demand cools or hyperscale players win scale elsewhere, CORZ's margins and cash flow could disappoint, forcing dilution or refinancing in a difficult cycle.
Unless power capacity translates quickly into high-margin tenancy, the 'AI data center' story could stall; a few large tenants or project delays could erode returns and force painful financing. That risk isn't reflected in the target.
"Legacy mining contracts plus GPU cooling needs create unpriced margin pressure that links the two risks already raised."
ChatGPT highlights balance-sheet exposure but misses how legacy mining power contracts likely lock in rigid fixed costs that clash with AI tenants seeking flexible, short-cycle leases. Gemini's retrofitting point connects directly: ASIC-optimized sites will incur materially higher cooling and latency expenses for GPU clusters, risking margin compression versus Equinix even if the 1.2 GW timeline holds and CoreWeave renews.
"Contract maturity and renegotiation optionality matter more than absolute fixed-cost levels for determining CORZ's actual margin trajectory."
Grok's fixed-cost lock-in argument is sharp, but it assumes CORZ can't renegotiate or exit legacy mining contracts. The real question: what percentage of CORZ's power base is actually trapped in rigid terms versus available for repricing? If 60%+ is flexible or expiring soon, the retrofitting cost delta becomes manageable. The article never discloses contract maturity schedules—that's the missing data point that determines whether Grok's margin-compression thesis holds or collapses.
"Regulatory grid-access constraints pose a greater threat to CORZ's valuation than internal contract flexibility."
Claude, you’re missing the regulatory reality. Regardless of contract flexibility, the 'power-as-a-moat' thesis ignores that utilities are increasingly prioritizing residential grid stability over industrial data center expansion. Even with 1.2 GW approved, interconnection queues are not linear. CORZ isn't just fighting for margin; they are fighting for grid priority in a landscape where state regulators are pushing back against energy-intensive AI loads. That regulatory bottleneck is the true ceiling on their valuation, not just contract terms.
"The real risk isn’t just regulatory bottlenecks; tenancy concentration and uncertain lease economics could undermine cash flow long before any grid issues become decisive."
Gemini's regulatory bottleneck thesis is plausible but incomplete. Even if interconnection queues loosen, CORZ faces tenancy concentration risk and uncertain economics of retrofitting mining sites into GPU-heavy HPC. The 1.2 GW ramp is a capex-heavy bet on CoreWeave and peers; if leases are delayed, priced aggressively, or tenants falter, margins and DSCR compress, potentially forcing equity dilution long before regulators bite. The still-unknown contract terms are a gating factor.
Despite analyst upgrades, CORZ's pivot to AI/HPC leasing faces execution risks, including legacy mining contract inflexibility, retrofitting costs, and regulatory bottlenecks for power interconnection.
Potential for successful AI/HPC leasing and increased power capacity
Legacy mining contract inflexibility and regulatory bottlenecks for power interconnection