DL DLR Digital Realty Trust Loading... : Bullish and Bearish Analyst Opinions

Data center demand far exceeds power supply.

Long-term data center infrastructure is attractive.

Gallup survey reveals broad, strong local opposition to data center construction, a key input for AI infrastructure. If public resistance translates into permitting delays or project cancellations, data center REITs like DLR will face slower growth than currently priced. Short DLR to bet that market expectations for data center expansion are overly optimistic relative to emerging political and regulatory hurdles. AI demand could override local opposition; large tech firms may use alternative sites or overcome objections; government subsidies could accelerate buildout.

48 data center projects worth $156B were blocked last year, and 20 were canceled in Q1 2026; voters ousted council members over a $6B data center approval. Data center REITs like DLR rely on new project approvals and grid access; growing community opposition and regulatory hurdles threaten future revenue growth. Increasing resistance to data center construction directly pressures DLR’s development pipeline and valuation multiple, making a short attractive on sentiment shift. AI demand could outpace backlash, or DLR might pivot to international/less-regulated markets; short squeezes on beaten-down names are possible. No additional actionable trade ideas in this post.

The post’s central idea – “replace central park with data center” – implicitly values data center real estate at premium locations. Data center REITs like DLR own prime land and lease to hyperscalers; a meme about sacrificing parks signals retail demand for the asset class. Indirect inference; not actionable on its own but aligns with secular growth in data center REITs. Overbuilding, interest rate sensitivity, power constraints.

Neutral DLR as community opposition and permitting risks offset the benefit from stronger leasing demand and customer prepayments.

Long DLR/EQIX as power-rich data center REITs benefit from scarcity; site selection and backlog conversion key catalyst.

Long colocation and power-generating assets as AI infrastructure demand shifts value to ready, energized capacity.

Neutral Digital Realty as AI infrastructure delays temper near-term absorption; structural demand remains.

Long EQIX, DLR, VRT, ETN as distributed AI data-center architectures drive demand for colocation, power, and thermal infrastructure.

Watch DLR as robust data center demand is offset by rising development friction, creating a mixed near-term catalyst.

Watch NVDA, VRT, CRWV, DLR, NET as metric shifts to revenue density; focus on ARR per MW and software abstraction over pure capacity buildout.

Watch DLR and EQIX as AI inference demand drives leasing breadth but reduces scarcity premium; capacity availability challenges extreme scarcity narratives, justifying a neutral stance.

Bearish view on DLR as data center REITs face higher power procurement complexity and capex intensity, impacting returns.

Bearish view on or avoid DLR near term as wholesale leasing timing introduces quarterly estimate risk and lower earnings quality.

Watch DLR/EQIX/CRWV/APLD as data-center operators that may benefit from onsite fuel-cell microgrids if they have gas-accessible land and customer demand; grid‑queue‑dependent players face risk.

Long ORCL/DLR/EQIX as data center operators benefit from lower-emission, lower-noise onsite power architectures that improve permitting and community acceptance.

Long large data-center operators that can partner with power providers and convert scarcity into customer stickiness, benefiting from the shift.

Malcolm said "DIGITAL REALTY. BETTER PLACE TO GET YOUR EXPOSURE TO THE DAT..." (with transcript cutting off at "DAT"). Digital Realty is positioned as a superior investment for gaining exposure to data infrastructure or related growth areas. LONG because it is highlighted as an attractive vehicle for capitalizing on data demand trends. A slowdown in data growth, technological shifts, or increased competition in data center markets.

"We've been the biggest investors in the world in digital infrastructure data centers... that foundation needs to be put in place first... building data centers in Europe is very hard." The speaker identifies data centers as the foundational, physical prerequisite for the AI revolution. Scarcity of supply, especially in constrained markets like Europe, increases the value and pricing power of existing, well-located assets owned by major public REITs. As the dominant private investor (BX) faces hurdles building new supply, the value of existing public data center operators (like DLR, EQIX) is underscored. This is a LONG on the sector leaders. Rapid overbuilding could eventually ease supply constraints. Technological shifts could change data center requirements.

"A lot of the infrastructure needs are currently being driven by some of our technology innovations... whether it's more power that we need for data centers, right, data center construction." "Infrastructure" is now a derivative trade on AI. To support LLMs, you need physical Data Centers (EQIX, DLR) and massive amounts of electricity/power generation (VST, CEG). These "Real Assets" have inflation-linked contracts and secular demand growth. Long Data Center REITs and Power Producers/Utilities. Regulatory pushback on power consumption or a slowdown in AI capex spending.

Taylor distinguishes between "training" data centers (high churn risk) and "interconnection/carrier hotels" (network hubs). He notes that interconnection assets are "prime real estate" and highly durable. Equinix (EQIX) is the primary "carrier hotel" REIT. As AI models move from training to inference, the value shifts toward connectivity and edge distribution, favoring interconnection hubs over generic server farms. Long Interconnection Data Centers. Power constraints preventing expansion; valuation concerns.

Ares Management is underweight Office but heavily invested in Data Centers, stating "we can't get enough" compute infrastructure. The AI boom requires massive physical infrastructure. While commercial office space is "bifurcated" and struggling, the demand for data centers is secular and disconnected from the broader real estate malaise. LONG. Real Estate exposure should be concentrated in the physical backbone of the internet. Power supply constraints or overbuilding in the sector.

Regarding AI, McVey warns against the "if you build it, they will come" speculation. Instead, he explicitly advises finding "contracted cash flow" within the Data Center/AI theme. Data Center REITs (Real Estate Investment Trusts) operate on long-term leases (contracted cash flows) with hyperscalers (Microsoft, Google, etc.). They represent the safe, rent-collecting side of the AI boom rather than the speculative hardware side. Long Data Center REITs as the "contracted cash flow" play on AI. Overbuilding in the data center space leading to lower rental rates; higher interest rates hurting REIT valuations.

She mentions a specific recent trend: "issuance for tracked to fund data center growth... Those are large chunky issuances." Companies do not issue large amounts of debt to build infrastructure unless there is massive, immediate demand. This confirms the "Growth CapEx" cycle is active specifically for data center operators (REITs). LONG Data Center REITs as the primary recipients of this capital expenditure boom. Over-leverage if interest rates spike; oversupply in the long run.

"There seems to be just tons of demand for it... we think that the next five years there's not an over supply situation." Despite fears of AI efficiency reducing space needs, the physical infrastructure required for compute (Hyperscalers) continues to outpace supply. Long Data Center REITs and infrastructure providers. Exit risk/valuation concerns if liquidity dries up; long-term AI efficiency reducing physical footprint.

Traditional Data Center REITs (Equinix, Digital Realty) trade at significantly higher multiples than Bitcoin miners. These serve as the valuation benchmark. If miners can prove they are "Data Center REITs" in disguise, they will trade up to these levels. However, miners are currently building faster/cheaper, potentially disrupting the lower end of this market. WATCH. Use these as the relative value comp to gauge the upside for miners. Miners failing to execute validates the premium on EQIX/DLR.

"Everyone thought when this whole emergence came that the traditional data center companies would just chew up all that demand and that's not happening." The consensus trade is that legacy data centers (Digital Realty, Equinix) are the sole beneficiaries of the AI boom. The speaker argues they are losing the "density" war to miners. If traditional data centers cannot handle the heat/power requirements of next-gen AI chips as efficiently as miners, their growth assumptions are overpriced. Avoid or underweight legacy data centers relative to power-dense mining infrastructure. Traditional data centers may acquire miners or retrofit faster than expected.

"The traditional data center world is saying well this is the way we usually do it." Legacy data centers are moving too slowly to capture the explosive initial demand for AI training capacity. Their adherence to standard procedures makes them uncompetitive against agile miners willing to cut corners or build off-grid. AVOID. They are losing the "land grab" phase of the AI boom. Enterprise clients may prefer the reliability and compliance of legacy centers over the "wild west" approach of miners.

Traditional data center REITs trade at a significant premium to Bitcoin miners pivoting to AI. These serve as the valuation benchmark. If miners successfully transition to HPC/AI hosting, they should trade closer to these multiples. WATCH. Use as a relative value comp for the miner trade. Tech sell-off dragging down the entire data center sector.