DLRDigital Realty Trust, Inc.
AI adoption · Q1 2026 earnings call
Real EstateScaling
21
extracted from this call
5 / 5
financialized — dollar / segment level
Not disclosed
no breakout in this call
AI demand was a central theme throughout the call, with management citing AI-driven workloads as a key driver of both hyperscale and enterprise leasing. The company signed its largest-ever lease — a 200-megawatt AI inference deal with a AA-rated hyperscaler in Charlotte — and reported that 21% of 0-1 megawatt bookings were AI-oriented, a new record. CTO Chris Sharp highlighted the transition from AI pilot to production, the emergence of agentic AI as a demand multiplier, and the company's workload-agnostic, low-latency infrastructure as well-positioned for inference workloads.
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21 AI mentions from this call.
Extracted verbatim from the DLR Q1 2026 earnings call transcript. Speaker, section, and specificity tier surfaced for each mention.
- T5Prepared remarks· CEO· Standalone AI product
“we signed the largest single lease in Digital Realty history this quarter, a 200-megawatt AI inference-oriented lease with a AA-rated hyperscaler in Charlotte.”
— Andrew Power, DLR earnings call - T4Q&A· CEO· Customer demand signalMaybe you could just comment on the economics that you're seeing with AI deals versus prior hyperscale deals? Maybe comment on pricing escalators. And maybe just one last with the -- as AI demand continues to show strength, what's the portfolio look like with training versus inference? And at what point do you think we might be at an inflection?
“we ticked up further AI being, call it, 21% in that 0-1 megawatt. And I honestly think we're just getting going here based on the actual enterprise adoption and where this could certainly take us on a broad basis.”
— Andrew Power, DLR earnings call - T4Prepared remarks· CFO· Infrastructure build
“nearly 80% of this volume is situated in the Americas region, reflecting the demand for AI-oriented workloads from our largest customers.”
— Matt Mercier, DLR earnings call - T4Q&A· Other· Customer demand signalI just wanted to check on the 0-1 megawatt segment, you've had really strong strength... is there a pathway now to $100 million?
“AI, as Andy highlighted, that's becoming an emerging part of our portfolio of conversations, north of 20% bookings for this quarter.”
— Colin McLean, DLR earnings callDigital Realty Innovation Lab - T4Prepared remarks· CEO· Customer demand signal
“Notably, a record 21% of 0-1 megawatt bookings were AI-oriented requirements.”
— Andrew Power, DLR earnings call - T3Q&A· CTO· Customer demand signalwhat's the portfolio look like with training versus inference? And at what point do you think we might be at an inflection?
“as agents come to market, it's a demand multiplier. And so that represents to us a 5x to 30x more tokens per task, and that's the fundamentals of what AI is delivering. That is going to really drive another inflection point, not just on the training to inference, but then as agents and agentics comes into the market, we're very excited about that.”
— Chris Sharp, DLR earnings call - T3Prepared remarks· CEO· Customer demand signal
“We signed 10-plus megawatt leases in each of Dallas, Sao Paulo and Tokyo during the quarter, highlighting the accelerating pace at which large AI workloads are moving into scaled production environments and the continued global appetite for compute.”
— Andrew Power, DLR earnings call - T3Prepared remarks· CEO· Customer demand signal
“A global social and AI platform is expanding on PlatformDIGITAL with a new AI inference node to serve a regional customer base and also expanding edge capabilities across global metros, while deploying a new subsea cable interconnection node.”
— Andrew Power, DLR earnings callPlatformDIGITAL - T3Q&A· CEO· Customer demand signalMaybe you could just comment on the economics that you're seeing with AI deals versus prior hyperscale deals? Maybe comment on pricing escalators. And maybe just one last with the -- as AI demand continues to show strength, what's the portfolio look like with training versus inference? And at what point do you think we might be at an inflection?
“we also signed 10-plus megawatt leases in Dallas, in Sao Paulo, in Tokyo during the quarter, highlighting the accelerating pace at which large AI workloads are moving into scaled production environments”
— Andrew Power, DLR earnings call - T3Q&A· CEO· Customer demand signalAndy, you brought up a second 200-megawatt building in Charlotte and another 200-megawatt facility in Atlanta. With these developments in mind, can you just give us a sense on how you think your greater than 1 megawatt bookings will trend for the balance of the year?
“that campus will have an extension of our colo interconnect footprint, but also be priced for the hyperscale customers looking to grow their cloud availability zones through AI inference in that market.”
— Andrew Power, DLR earnings call - T3Prepared remarks· CEO· Customer demand signal
“A leading technology services company is leveraging PlatformDIGITAL to create a distributed inference AI-ready ecosystem to support advanced AI workloads for growing enterprise demand.”
— Andrew Power, DLR earnings callPlatformDIGITAL - T3Q&A· CTO· Customer demand signalwhat's the portfolio look like with training versus inference? And at what point do you think we might be at an inflection?
“demand has definitely converted from pilot to production. We've seen that both in Andy's prepared remarks and just referencing the 200-megawatt build. That is inference.”
— Chris Sharp, DLR earnings call - T3Prepared remarks· CEO· Customer demand signal
“A global biotech company is optimizing its AI infrastructure on PlatformDIGITAL to enable AI modeling, factory design and diagnostics for safety and reliability.”
— Andrew Power, DLR earnings callPlatformDIGITAL - T3Prepared remarks· CEO· Customer demand signal
“A multinational pharmaceutical company is deploying its AI infrastructure on PlatformDIGITAL to meet growing R&D, infrastructure and computing needs.”
— Andrew Power, DLR earnings callPlatformDIGITAL - T3Q&A· CEO· Customer demand signalas you look at the AI composition of the over 1 mega leasing, how far down the size level is AI going right now?
“you're seeing AI in the tens to hundreds of megawatts, and you're seeing AI in the less than a megawatt category.”
— Andrew Power, DLR earnings call - T2Q&A· CTO· Customer demand signalwhat's the portfolio look like with training versus inference? And at what point do you think we might be at an inflection?
“the economics associated with private AI, where you really start to see a change in the consumption of being able to own the infrastructure and then rent the spike, if you will, that's going to represent another material savings that what we saw with cloud and cloud hybrid kind of connectivity and multi-cloud.”
— Chris Sharp, DLR earnings call - T2Q&A· CTO· Customer demand signaldo you think that means that we'll see kind of the existing set of cloud data centers essentially how it go through a change in design?
“AI, it's additive to cloud today because I think what you're realizing now is cloud is comprised of a lot of data assets and AI absolutely requires that data. So we're seeing a lot of additional demand with AI infrastructure trying to be proximate to those availability zones”
— Chris Sharp, DLR earnings callHD Colo - T2Prepared remarks· CEO· Customer demand signal
“building interconnected campuses in the right locations to support customers as their IT architectures are infused with AI-oriented workloads become more distributed, more latency sensitive and increasingly connectivity-driven.”
— Andrew Power, DLR earnings callPlatformDIGITAL - T2Prepared remarks· CEO· Customer demand signal
“particularly as AI-driven workloads move from experimentation to production.”
— Andrew Power, DLR earnings call - T1Prepared remarks· CEO· Customer demand signal
“AI adoption is accelerating compute intensity, cloud demand remains resilient and enterprises are continuing to embrace technology to improve productivity and efficiency across their core operations.”
— Andrew Power, DLR earnings callPlatformDIGITAL - T1Q&A· CEO· Customer demand signalthere seems to be a lot more NIMBYism and local pushback. When you look at the 6 gigawatts of future capacity, any of that what you would characterize as in markets that may be tougher to deliver in?
“mission-critical workloads for cloud computing, for AI inference, that's what we're about.”
— Andrew Power, DLR earnings call
What management wouldn’t quantify.
Analyst questions where management declined to share a specific number. The pattern of refusals is often as informative as the disclosures.
- No explicit dollar revenue attribution to AI-specific leasing was provided; AI contribution is described qualitatively or as a percentage of bookings (21% of 0-1 MW category) rather than as a discrete revenue line.
- No breakdown of AI training vs. AI inference capacity utilization across the portfolio was quantified, despite analyst question on the topic.
- No specific capex allocation dedicated exclusively to AI infrastructure buildout was disclosed; total development capex is reported in aggregate.
- The 5x-30x tokens-per-task claim for agentic AI was stated without sourcing or methodology.
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