Digital Realty Q1 2026 Impact of AI on Pricing and Earnings Growth

How AI-driven market growth influences pricing actions at Digital Realty

1) AI demand is showing up as new lease demand and higher-value capacity needs

Management describes a demand environment accelerating as AI-driven workloads shift “from experimentation to production,” pulling customers toward capacity that is both scalable and highly interconnected. This translated into very strong leasing in Q1 2026, including over $700 million of new leases (or $423 million at Digital Realty’s share). ¹²

Within the “zero to one megawatt plus interconnection” product, Digital Realty also reported a record $98 million of new signings and stated that 21% of bookings were AI-oriented requirements, signaling that AI is not just incremental—it is increasingly a measurable portion of pricing-relevant demand. ¹³

2) Pricing power is supported by market rent growth outpacing build cost inflation

Digital Realty explicitly ties the pricing backdrop to AI-driven supply/demand imbalance (strong demand) versus infrastructure constraints (limited supply and higher costs), stating that market rent growth is outpacing inflationary pressure in build costs. ⁴
They also indicate that while build costs are rising due to factors like land values, construction activity, and tight supply chains, “market rates exceed those inflationary pressures,” helping maintain returns even at record development activity. ⁵⁴

3) Pricing actions show up via leasing structure, “liquid” design/engineering, and renewal economics

AI workload requirements are driving design and configuration changes (e.g., “hybrid design—AI and cloud in a single data center”), which can reduce the usefulness of certain prior contractual renewal limitations and increase the likelihood of repricing at renewal. ⁶⁷

Digital Realty describes that with rapidly changing data center design (e.g., mix of GPUs/CPUs and the move toward liquid cooling), customers frequently renew without fully “taking advantage” of renewal options to avoid rate reset opportunities; this creates an opportunity for Digital Realty to “bring those rates to market more and more often.” ⁷

They also describe that AI is additive to cloud and requires proximity to availability zones (increasing siting value), while modularity and engineered connectivity allow densification aligned to workload needs—factors that support higher effective rents and more “fit-for-purpose” pricing. ⁸

Impact on Digital Realty’s earnings in Q1 2026

1) Core FFO strength in Q1 2026 aligns with leasing momentum and pricing-through-commencements

Digital Realty reported core FFO of $2.04 per share in Q1 2026, up 15% year over year, attributing the increase to the “ongoing benefit of strong data center leasing and development-related lease commencements,” plus increased fee income tied to growth in its strategic private capital platform. ⁹

Because AI is increasingly visible in leasing (notably the 21% AI-oriented share of zero-to-one bookings and a record zero-to-one interconnection leasing quarter), it supports the management narrative that AI-driven demand is contributing to leasing momentum that flows into earnings via leasing and development commencements. ¹⁹³

2) Cash NOI growth indicates pricing/actions and rent economics are largely offsetting higher costs

Digital Realty reported same-capital cash NOI up 7.9% year over year in Q1 2026. ⁹
On a constant-currency basis, same-capital cash NOI rose 2.5%, with management noting this was largely reflecting above-trend operating expense growth versus the prior year (i.e., cost headwinds partially offset what stronger rent/pricing is doing). ⁹

This is consistent with management’s broader “rates ahead of” inflation claim: pricing/rent levels are strong enough to still produce NOI growth, even as operating expenses rise. ⁹⁴

3) Leasing volume, backlog visibility, and expected yield support earnings durability (including AI-related demand)

In Q1 2026, Digital Realty:

• Signed $707 million of annualized rent (100% share) / $423 million at share ²
• Reported 98 million of new signings in zero-to-one plus interconnection ²
• Raised earnings expectations and, in the prepared remarks, emphasized that the zero-to-one signings boosted the 2026 outlook and greater-than-a-megawatt leasing increased total backlog (including for long-term visibility into 2027–2028). ¹⁰

Management also highlighted a 61% preleased development pipeline with an 11.4% average expected yield, “mainly driven by successful leasing.” ¹⁰ Since AI demand is explicitly driving leasing composition and capacity requirements, this provides an earnings-quality link: AI-influenced leasing helps lock in higher-quality contracted cash flows that eventually translate into FFO/cash NOI through commencements. ¹¹⁰⁹

Bottom line

• How AI affects pricing actions: Digital Realty shows pricing actions and rent economics being supported by AI-driven demand moving into production, with AI representing 21% of zero-to-one bookings and appearing in higher-value mega-watt leasing (including an AI inference-oriented lease in hyperscale). ¹¹¹³ Management also indicates that market rent growth exceeds build-cost inflation, while design/configuration changes and renewal dynamics create opportunities to reprice. ⁵⁴⁷
• Earnings impact in Q1 2026: The pricing/rent strength and leasing momentum tied to that AI demand backdrop are reflected in core FFO of $2.04/share (+15% YoY) and same-capital cash NOI up 7.9% YoY, with some offset from elevated operating expenses. ⁹¹²