AI Data Center Crunch: REITs, Ex-Bitcoin Miners and Power Makers in the Spotlight

A structural shortfall in global data center capacity is reshaping the economics of AI infrastructure, lifting earnings at major REITs and drawing former Bitcoin miners and power equipment makers into one of the fastest-growing segments of the technology supply chain.

The imbalance matters for markets because it is broad-based: the capacity crunch is simultaneously tightening rent conditions for established operators, accelerating revenue conversion for ex-crypto miners pivoting to AI leases, and extending order backlogs for electrical equipment suppliers such as Eaton — creating a multi-sector earnings story tied to a single structural driver.

What happened

Demand for AI inference workloads and frontier model training is growing faster than developers can bring new capacity online, widening a supply-demand gap in major global data center markets where rent growth is now accelerating. Data center landlords, long constrained by the bargaining power of hyperscale tenants, are gaining pricing leverage — a dynamic that is beginning to show up in reported financials.

Digital Realty Trust (DLR) delivered the sharpest earnings beat among large operators in its latest reported quarter, posting EPS of $1.21 against a consensus estimate of $0.48, with revenue of $1.92 billion exceeding the $1.66 billion estimate.

The stock trades at a trailing price-to-earnings multiple of 81.75 times and a forward multiple of 68.71 times. Equinix (EQIX) also beat expectations, reporting EPS of $4.83 versus the $4.73 estimate and revenue of $2.62 billion against a $2.59 billion estimate; its trailing P/E stands at 64.78 times and its forward P/E at 58.81 times.

Why it matters

Digital Realty Trust and Equinix each operate approximately 3 gigawatts of capacity in the global markets where supply and demand are most imbalanced. As the AI industry moves toward an agentic inference model — where AI agents run continuously rather than in discrete bursts — both companies are positioned to layer organic rent growth on top of ongoing development pipelines.

Former Bitcoin miners represent a second wave of exposure. Core Scientific (CORZ), Cipher Mining (CIFR), Hut 8 (HUT) and TeraWulf (WULF) are converting legacy crypto infrastructure into AI-scale data center capacity. Core Scientific's latest quarter illustrated the transition: revenue of $0.16 billion beat the $0.14 billion estimate, though EPS of -$3.32 fell well short of the -$0.06 consensus, reflecting the costs of repositioning. Each AI-scale lease signed with investment-grade-rated tenants carries significant revenue growth potential and the prospect of higher valuation multiples as earnings stabilise.

On the equipment side, Eaton is among the power and electrical infrastructure makers whose momentum is building as supply-chain investments in data center power delivery scale up. Extended backlogs across the sector signal that the buildout has years of runway.

• DLR latest quarter: EPS $1.21 vs estimate $0.48; revenue $1.92 bn vs estimate $1.66 bn; forward P/E 68.71×

• EQIX latest quarter: EPS $4.83 vs estimate $4.73; revenue $2.62 bn vs estimate $2.59 bn; forward P/E 58.81×

• CORZ latest quarter: revenue $0.16 bn vs estimate $0.14 bn; EPS -$3.32 vs estimate -$0.06

• DLR and EQIX each operate ~3 GW of capacity in supply-constrained global markets

What to watch next

Three earnings reports in quick succession will test whether the supply-demand narrative is translating into sustained financial improvement across the sector.

• Core Scientific (CORZ) reports on 23 October 2026

• Equinix (EQIX) reports on 28 October 2026

• Digital Realty Trust (DLR) reports on 29 October 2026

Investors will focus on rent-growth commentary from DLR and EQIX, the pace at which CORZ and peers are converting AI leases into recognised revenue, and any update on power equipment delivery timelines from suppliers including Eaton. The degree to which hyperscale tenants accept higher pricing — a shift already under way according to market observers — will be the key variable to track across all three reports.