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Buildings and data centers are entering a new era where resilience is becoming just as important as efficiency. As power scarcity, climate volatility and electrification pressures intensify, the built environment must be designed not only to reduce energy use, but also to maintain operational continuity under increasingly uncertain conditions. Viewed through a buildings lens, data centers will likely become a leading-edge test case for how efficiency, flexibility and resilience can be designed into mission-critical facilities and venues — with implications that extend well beyond the data center itself and into other energy-intensive, mission-critical buildings.
The Take
Across both buildings and data centers, the common thread is that owners are moving from passive asset management to active energy orchestration. Power scarcity, climate volatility, labor constraints and capital intensity are forcing a redesign of how critical infrastructure is planned, operated and monetized. The winning solution set is no longer a disparate collection of point solutions. Instead, it requires a fully integrated, AI-orchestrated stack. This entails combining predictive software and advanced digital controls with distributed energy storage, localized microgrids, dynamic load-shedding capabilities and closed-loop, water-aware thermal management.
Context
For commercial buildings, this means transforming static properties into grid-interactive buildings, leveraging AI-driven building management system (BMS) platforms to dynamically balance occupant comfort with real-time peak load shedding and monetizing flexibility through co-optimized on-site solar and battery storage.
For data centers — one of the most-watched and fastest-growing sub-segments of the building sector — this means bypassing interconnection delays via localized microgrids, transitioning to high-density liquid cooling architectures (like advanced cooling distribution units) to manage AI thermal loads without massive water penalties and using intelligent orchestration to shift non-critical compute workloads in response to regional grid constraints.
For decades, buildings were treated primarily as passive energy consumers. That model is breaking down as owners face grid constraints, higher utility costs, stricter sustainability expectations and growing risks from extreme weather and outages. At the same time, commercial buildings, and to a larger extent data centers, are becoming more energy-intensive and more dependent on interconnected systems (like a BMS and an electrical power monitoring system working together, for example), making resilience a core design requirement rather than a nice-to-have. Advances made in the data center space — especially in energy technologies such as advanced controls, on-site generation, storage and load flexibility — will likely have cascading effects on other mission-critical buildings such as hospitals, airports, universities and large commercial campuses.
This shift is creating demand for integrated approaches that combine software, controls, storage, on-site generation and flexible load management. The opportunity is not just to make assets more efficient, but also to make them smarter, more adaptable and better able to support business continuity and resilience.
Buildings as a grid
Smart building projects have traditionally been driven by sustainability and energy efficiency, safety and security, and occupant experience. Point solutions such as air-quality monitoring and equipment sensorization have helped owners gain visibility and improve operations, but they have often remained fragmented across sites and systems. Rising energy costs, hybrid work and AI-driven operation imperatives are now shifting the focus toward resilience, and the buildings-as-a-grid approach reframes buildings as active participants in a dynamic energy ecosystem rather than passive energy consumers. The opportunity is to connect a range of building systems (from heating, ventilation and air conditioning and thermal management to occupancy analytics) along with distributed energy resources and digital controls to improve uptime, optimize energy use and create value, and even revenue, from flexibility and on-site generation.
Solutions and implications: Buildings
A buildings-as-a-grid architecture is enabled by smart controls, electrical power monitoring systems (EPMS) and energy management systems (EMS) capabilities that coordinate the building’s electrical and mechanical systems to improve resilience and optimize energy performance. BAAG offers a practical solution by turning buildings from passive energy consumers into active energy assets. By connecting on-site generation, battery storage, EV charging, flexible loads and building controls through a coordinated digital layer, owners can optimize energy use, reduce peak demand, improve resilience and create new value from grid services. This model is especially relevant as buildings face rising energy costs, electrification pressures and staffing constraints, since it enables smarter operations without requiring constant manual intervention. When asked about future deployment plans, building owners and operators expressed interest in many of the necessary components that enable BAAG.
These planned deployments indicate a clear shift from stand-alone efficiency upgrades to integrated energy orchestration. The concentration of EMS, EPMS, BMS, AMI, microgrids, DER integration, AI analytics and VPPs in the 43% to 49% range suggests buyers view these capabilities as part of a single operating model, not disconnected investments. The strong interest in microgrids, on-site generation, BESS and flexible loads underscores the growing priority placed on resilience, peak demand management and grid independence. Just as vital, the data shows that software is becoming as important as hardware, with customers seeking a control layer that can unify diverse assets into one system.
Data center resilience
With all of the AI hype surrounding them, it is easy to forget that data centers are buildings too, and in that way they sit at the center of a much larger built-environment challenge.
AI and cloud demand are driving explosive growth, with global data center power projected to nearly double by 2030, while the sector simultaneously faces grid constraints, water stress, emissions pressure and rising financing risk.
The US power sector emissions alone could reach 200 million to 250 million metric tons of CO2 per year higher by 2030 than previously forecast.
The primary challenge facing data center development is power. Many markets face multi-year interconnection delays, averaging between five and 10 years, demanding a fast path to power in both the short and longer term. In response to this strain, operators are overwhelmingly focused on mitigation, with improving IT asset performance/utilization as their top priority (46%). In parallel, the rapid expansion of data centers is making decarbonization harder as scarce renewable supply is absorbed by the largest buyers, further underscoring why improving sustainability is a key goal for 31% of organizations.
Beyond the grid, the water-intensive cooling demanded by AI factories and rising rack densities is coming under scrutiny, with 43% of data centers exposed to high water stress. Even with these headwinds, the drive for expansion continues. The capital required to build new capacity is massive — the segment accounted for 80% of private domestic demand growth in the US in the first half of 2026 — and adding capacity remains a top-five priority for 28% of data center organizations.
Solutions and implications: Data center
As early as the design phase, data centers should be designed as resilient energy systems, not just IT facilities. Early decisions around site selection, power architecture, cooling strategy, modularity and grid interconnection determine whether a facility can scale quickly, operate efficiently and remain viable under power, water and climate constraints. Resilience must be built in from day one through on-site power, storage, flexible load planning, advanced cooling and software-enabled controls that support phased deployment and reduce stranded-asset risk.
Water should also be treated as a strategic constraint, not as a secondary issue. Water-efficient cooling, non-potable water use and site selection tied to water stress should be part of the resilience playbook alongside energy and emissions performance.
Finally, the financial model needs to evolve with the operating model. Data center developers and operators will need solutions that reduce stranded-asset risk, support phased deployment and create more flexible infrastructure that can adapt as AI demand, regulatory pressure and site conditions change.
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