Digital Realty Taps SmartPM to Tame the AI Data Center Construction Boom

ATLANTA, GA – November 02, 2026 — The cloud is not an ethereal concept; it is a physical manifestation of concrete, steel, fiber optics, and massive power infrastructure. As the generative artificial intelligence boom accelerates, it has triggered an unprecedented global land grab for server capacity. For the companies building this infrastructure, the race is not just against competitors, but against the physical limitations of global supply chains and labor markets. Recognizing that traditional project management is no longer sufficient for this hyper-accelerated environment, Digital Realty—the world’s largest cloud- and carrier-neutral data center platform—has made a decisive move. The company announced a three-year agreement to deploy SmartPM Technologies as its enterprise schedule analytics platform. The rollout will cover approximately 60 active project slots across the Americas, EMEA, and APAC regions, fundamentally altering how the data center giant oversees its massive construction portfolio.

Taming the AI Infrastructure Rush

To understand the significance of this software deployment, one must first grasp the sheer scale of Digital Realty’s current capital program. The company is currently executing one of the most aggressive expansions in the history of digital infrastructure. As of the third quarter of 2026, its development pipeline encompasses 1.5 gigawatts of capacity under construction, carrying an estimated price tag of $22 billion. With 63 percent of this capacity already pre-leased to hyperscalers and enterprise clients, the financial stakes tied to on-time delivery are astronomical. In the third quarter alone, the company poured $1.5 billion into development capital expenditures.

However, deploying billions of dollars does not insulate a developer from the friction of the physical world. Building high-density, AI-ready data centers today means navigating a deeply fractured global supply chain. Critical components such as transformers, switchgear, backup generators, and uninterruptible power supplies are experiencing lead times that frequently stretch well beyond a year. Furthermore, the raw materials required—from the copper in the cabling to the steel in the superstructure—remain subject to intense price volatility and geopolitical trade disruptions.

Beyond materials, human capital is a severe bottleneck. There is a critical shortage of the specialized electrical and mechanical engineers required to design and commission these mission-critical facilities. When combined with the labyrinthine local permitting processes and stringent environmental regulations across different international jurisdictions, the potential for schedule volatility is immense. One industry analyst recently observed that supply chain disruptions and labor shortages now pose existential risks to data center timelines. In this high-stakes environment, schedule visibility is no longer just an administrative function; it is a primary operational barrier that dictates whether a firm can meet its revenue targets.

The Owner-Led Revolution in Project Controls

Historically, the dynamic between capital project owners and general contractors has been characterized by information asymmetry. Owners have traditionally relied on contractors to submit monthly schedule updates, often generated through legacy, highly manual software systems. By the time a delay was identified, analyzed, and reported up the chain of command, the window to mitigate the damage had often closed.

The enterprise-wide adoption of this new analytics platform signals a broader philosophical shift sweeping through the construction industry: the owner-led revolution in project controls. Asset owners are no longer willing to be passive recipients of contractor-curated data. By deploying automated analytics platforms across their global portfolios, developers are establishing independent, objective auditability over real-time progress.

SmartPM’s Automated Project Controls platform is designed to ingest schedule data from diverse contractor formats and automatically analyze it to detect risk escalation and schedule variances. Instead of relying on subjective interpretations of project health, Design Engineering & Construction teams will have access to standardized, objective metrics.

"Construction teams have more project data than ever, but more data doesn’t automatically mean better decisions," shared Michael Pink, Co-Founder and CEO of SmartPM. "What matters is being able to quickly understand what’s changing, where risk is building, and what needs attention. Working with Digital Realty gives us an opportunity to put that intelligence into the hands of teams managing incredibly complex projects at scale, and help them act on it before issues become outcomes."

Enterprise ConTech Consolidation and Global Deployment

From a technology market perspective, this agreement highlights a critical phase of consolidation and maturation within the construction technology sector. For years, the industry was flooded with fragmented point solutions. Now, enterprise owners are seeking scalable platforms that can embed seamlessly into multinational technology stacks. This strategic win demonstrates that specialized, niche analytics tools are becoming indispensable companions to broader construction management platforms and legacy enterprise resource planning systems.

Deploying a unified analytics platform across 60 global project slots is a formidable logistical challenge. Construction practices, regulatory environments, and reporting requirements vary wildly. A $7 billion joint venture developing campuses in Frankfurt and Paris operates under vastly different constraints than a 200-megawatt campus expansion in Atlanta or a new build in the Asia-Pacific region.

To address this, the three-year agreement includes comprehensive professional services focused on implementation, analytics, and user adoption. This structured rollout is crucial for establishing consistent data governance. By aligning the platform with globally recognized frameworks, the goal is to create a common language for project controls, regardless of whether a facility is being built in Northern Virginia or Tokyo.

Navigating the Complexities of Next-Generation Facilities

The data centers being constructed today are fundamentally different from those built even half a decade ago. The shift toward AI-ready, high-density environments requires entirely new architectural paradigms. These facilities must integrate advanced liquid cooling technologies and accommodate significantly higher power densities per rack. Furthermore, as environmental scrutiny intensifies, these campuses are increasingly incorporating complex renewable energy integrations and sustainable design elements.

This added design complexity inherently introduces schedule risk. The rapid pace of innovation in artificial intelligence means that facility designs often require modifications mid-construction to accommodate the latest technological advancements. When blueprints pivot, construction schedules inevitably fracture. Automated schedule analytics act as a critical shock absorber in these scenarios, allowing project managers to instantly model the cascading impact of design changes and adjust workflows before critical path bottlenecks occur.

As global infrastructure providers continue to scale their footprints to meet the insatiable demand for cloud computing and AI inference, the margin for error continues to shrink. The backlog of booked-not-billed revenue for industry leaders recently hit record highs, providing clear visibility into multi-year growth but also turning up the pressure on the construction teams tasked with delivering that capacity. The ability to bring these mission-critical facilities online predictably and efficiently is no longer just a metric of construction success. It has evolved into a core competitive advantage, dictating who will successfully build the backbone of the modern digital economy.