Digital Realty Is Monetizing AI Demand, but the Stock Is Not Cheap

Written by Cassian Vance

Digital Realty delivered the sort of quarter that clarifies how AI infrastructure demand is migrating beyond chips and cloud headlines into the property layer underneath them. The company reported second-quarter 2026 total revenues of $1.9 billion, up 18% sequentially and 29% year over year, and raised its full-year Core FFO per share (excluding net promote) outlook to $8.10-$8.15. For investors looking for a way to express AI-infrastructure demand without owning the most crowded semiconductor trades, that matters. Digital Realty is increasingly selling the physical and financial substrate that makes large-scale compute useful: powered space, interconnection, and deployable capacity.

The investment question is whether that operating momentum still leaves enough upside after the market has started to recognize the story. On Finviz, DLR trades at $179.34 against a consensus target price of $219.26, implying roughly 22.3% upside. The stock trades at 47.44x trailing earnings, 75.43x forward earnings, 9.99x sales, and 2.76x book, with 16.31% operating margin and 20.83% profit margin. Those are not cheap REIT-style numbers, but AI-adjacent infrastructure landlords are no longer being valued like ordinary real estate vehicles. My verdict on DLR is BUY with a $219 price target.

StockCurrent priceVerdictPrice target
DLR$179.34BUY$219
EQIX$1033.55HOLD$1208
IRM$124.55HOLD$133

The bull case for Digital Realty rests on the idea that AI demand increasingly has to inhabit real-world bottlenecks. Models require land, power availability, cooling economics, network density, and customer relationships with credible operators. Digital Realty’s results suggest that this landlord layer is not merely tagging along for the ride. It is actively monetizing the new demand cycle. The raised Core FFO outlook is especially important because it reframes the business not as a speculative AI adjacency but as a cash-flow vehicle whose growth is being pulled higher by infrastructure scarcity.

That matters because investors often overfocus on the most visible technology winners and underprice the businesses that control the operating environment those winners need. Digital Realty is not designing the chips, but it is helping determine where those chips can live economically. In that sense, DLR is selling one of the real scarce goods in the AI economy: deployable datacenter capacity in the right network and customer context.

Equinix remains the highest-quality peer, but it also looks more fully appreciated. EQIX trades at $1033.55 against a $1207.93 target price, implying 16.9% upside. It carries a 71.48x P/E, 54.42x forward P/E, 10.80x sales, and 7.13x book. Those are premium multiples even for a best-in-class interconnection franchise. My verdict on EQIX is HOLD with a $1208 price target. It remains an exceptional asset, but investors are already paying a rich price for its strategic positioning.

Iron Mountain is a different comparison, but still a useful one because it shows how infrastructure investors are rewarding hybrid physical-information platforms. IRM trades at $124.55 versus a $132.82 target price, implying just 6.6% upside. The stock carries a very high 136.76x P/E, 47.87x forward P/E, and 5.11x sales, though its 20.42% operating margin is solid. My verdict on IRM is HOLD with a $133 price target. The business is stronger than its old paper-storage stereotype suggests, but the stock already reflects a large part of that rerating.

CompanyP/EForward P/EP/SP/BOper. MarginProfit MarginImplied upside to consensus targetReading
Digital Realty47.44x75.43x9.99x2.76x16.31%20.83%22.3%Best direct combination of AI-infrastructure momentum and still-meaningful upside
Equinix71.48x54.42x10.80x7.13x2.85%15.07%16.9%Premium-quality platform, but more obviously priced for greatness
Iron Mountain136.76x47.87x5.11xNA20.42%3.76%6.6%Good infrastructure evolution story, though rerating looks mature

The key risk to Digital Realty is that the AI-infrastructure trade can become too crowded too quickly. If investors begin treating every datacenter landlord as a guaranteed winner, valuation discipline will matter again. There is also the operational risk that rapid demand narratives outpace the economics of delivering and leasing new capacity.

This is where the capacity-to-suffer framework matters. Digital Realty still looks like a business worth enduring normal volatility for because the thesis is tied to real infrastructure scarcity rather than promotional abstraction. But investors should not confuse a strong thesis with an infinitely forgiving entry point.

My conclusion is straightforward. DLR is a BUY at $219 because it offers the clearest mix of AI-infrastructure exposure and still-credible upside among the group. EQIX is a HOLD at $1208 because the quality is exceptional, but the premium is already well recognized. IRM is a HOLD at $133 because the strategic evolution is real, yet most of the rerating work appears to have been done. Digital Realty is monetizing AI demand effectively. The stock is not cheap, but it still looks investable.

*This article is for informational and educational purposes only and is not financial advice. Investors should do their own due diligence, consider their risk tolerance, and remember that past performance does not guarantee future results.*

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Cassian Vance

Cassian Vance

Cassian Vance brings a sharp, forward-looking perspective to the rapidly evolving technology and AI sectors. Before joining EquitiesOrbis, Cassian spent nearly a decade in Silicon Valley, initially as a systems architect before transitioning into venture capital. This dual background allows him to evaluate tech equities not just through financial metrics, but by dissecting the underlying technology and assessing its true market viability. Cassian holds a dual degree in Computer Science and Economics from Stanford University, and later earned his MBA from the Wharton School.