The Accelerator

At the same time, the talent who understands how to operate those buildings is in short supply, and a new class of tools is multiplying what one skilled professional can accomplish. Combining these three factors creates a rare window to accelerate an FM career.

Data centers, semiconductor fabrication, pharmaceuticals and life sciences, and advanced manufacturing are pouring capital into their buildings at a scale the built environment has rarely seen. When spending climbs this fast in a sector, demand for the people who plan, build and run those buildings climbs right along with it.

For decades, facilities were treated as a cost center, and the goal was simply to spend as little as possible. In a data center or pharmaceutical plant, that logic has flipped. The metric that matters most now is uptime. These facilities are revenue-generating infrastructure, and the professionals who can guarantee reliability to protect that revenue will be valued accordingly.

Achieving record uptime performance metrics requires a process-based operation rather than a reactive one. The strongest teams rely on disciplined, documented procedures, including planned maintenance windows, formal change management and clear permit-to-work controls, so no task introduces unplanned risk. They also stay closely attuned to the live work happening around them, whether that is pharmaceutical production runs, data center server loads or life sciences lab research processes, so maintenance work can be timed to protect the normal course of business. Underneath all of this is simply exceptional organization of space, asset, and employee or contractor information. When a single overlooked valve, filter or breaker can cascade into an outage, knowing the state of every asset, procedure and contractor on site is what keeps a facility running.

Data center infrastructure budgets are staggeringly high

Data centers have become the fastest-growing category in nonresidential construction, and the per-project numbers are staggering. In Japan, the most expensive data center market in Asia Pacific, construction costs can run as high as US$19.2 million per megawatt, according to Cushman & Wakefield’s 2026 Asia Pacific Data Centre Construction Cost Guide. Gartner now forecasts global data center spending will top US$788 billion in 2026, an increase of almost 56 percent in a single year, driven largely by AI infrastructure investment.

The capital does not stop once the building opens. Operating budgets are large and recurring, and operations and maintenance can end up costing more over a building’s life than construction ever did. Budgets on this scale, recurring year after year and tied directly to reliability, do not manage themselves.

High spending repeats across other capital-intensive sectors

Reshoring and industrial policy drove a sharp ramp in U.S. manufacturing construction, with private spending climbing from roughly US$75 billion in 2020 to a peak near US$240 billion in mid-2024, before cooling to around US$186 billion by early 2026. Semiconductor and life-sciences investment accelerates under policies like the European Chips Act and manufacturing incentives across Asia Pacific as well. Semiconductor fabrication plants, pharmaceutical and life-sciences sites, and high-tech manufacturing all carry heavy facilities budgets for cleanrooms, environmental controls and compliance. In each of these settings, an environmental excursion or an unplanned stoppage threatens product, compliance status and revenue all at once. Here too, reliability is the priority, and skilled facility leadership commands a premium.

Bigger facilities budgets mean more demand for the experts who manage them

Industries spending at this level need experts across AI readiness, energy, sustainability, analytics, commissioning and resilience planning, and they are paying well to secure them. Many of these advisory and portfolio-strategy roles span multiple sites, which is opening more hybrid and remote possibilities in a specialty that has historically been almost entirely on site. The demand is global. The Americas continue capturing the largest share of global data center development, while EMEA demand keeps climbing even as power availability and permitting constraints limit how much new capacity actually gets built, according to Cushman & Wakefield's 2026 Global Data Center Market Comparison. Professionals who can speak the language of mission-critical operations and capital planning are increasingly able to choose where, how and for whom they work.

Following the capital means tracking which firms are building or expanding mission-critical, manufacturing or life-sciences facilities in the region, and learning the vocabulary those owners use: uptime tiers, commissioning, power density, total cost of ownership. Pursuing critical-environment credentials, and describing existing operations experience in reliability-first terms, positions a professional for the roles these budgets are creating. Employers already report it takes an average of 17 weeks to fill an FM vacancy, according to IFMA's 2026 Global Salary and Compensation Report, and when qualified expertise is that hard to find, it only becomes more valuable to the professionals who have it. Signaling availability for hybrid or multisite work widens the field further.

The second opportunity is in how the work itself gets done. Facility operations generate an enormous volume of data: work orders, asset histories, sensor readings, energy use, leases, contracts and inspection records. Most of it sits scattered across different systems and rarely forms a clear picture. Used well, AI can help on both fronts. First, AI can help FM teams organize that data and support leaders in making well-informed decisions from that data.

Organize the data

The fastest gains come from pulling order out of scattered information, without needing a top-down mandate to start. AI tools can summarize dense leases and service contracts in minutes, draft and review requests for proposal (RFPs), and surface patterns hidden in years of work-order history. That kind of grounded, task-by-task introduction may be exactly what teams need: National Fire Protection Association (NFPA) research published in its 2026 State of the Skilled Trades survey found that while organizations prepare to roll out more AI in 2026, many workers say what they want is better training, not more tools handed down from above. FMs who introduce AI to one real task close that gap in a way no rollout from above can.

Lead from the data

The greater value comes when that well-organized picture becomes the basis for better decisions, and this is where FMs look like strategists rather than operators. AI can stress-test a capital plan and pressure-check a capital expenditure justification before it reaches the finance committee, or model which retrofits carry the strongest energy and return-on-investment case. It can interpret outputs from a computerized maintenance management system or digital twin, build the key performance indicator framework that tracks performance, and help frame the board-level narrative that connects a facility decision to organizational goals. Walking into that meeting with a stress-tested case instead of a gut-feel estimate is how an FM is treated as a strategic partner, not a cost center. The professional still sets the priorities and makes the call, and the tool just manages the synthesis in-between.

The third opportunity lies in AI leadership. Helping colleagues, direct reports and senior leaders adopt AI well is a route to recognition, especially in organizations that are moving slowly. When adoption stalls, the obstacle is rarely the technology itself. More often there are skills gaps and the understandable caution of experienced staff who have built reliable processes around legacy systems. The professionals who can bridge that gap become visibly invaluable.

Capture institutional knowledge & mentorship opportunities with AI

Roughly 40 percent of FMs expect to retire within the next decade, according to IFMA's 2026 Global Salary and Compensation Report, and examples of that critical risk of knowledge loss already show up in performance numbers. Siemens' 2024 True Cost of Downtime report found average restart time after a breakdown has climbed from 49 to 81 minutes, driven largely by skills gaps left after the great COVID resignation. AI can close part of that gap: structured interviews can turn a retiring expert's troubleshooting knowledge into a searchable assistant, so the next technician does not need 81 minutes to solve a problem a veteran could fix from memory. IFMA research also found that more than a third of early-career FMs are currently mentored, one of the strongest retention drivers. Combined, AI-assisted knowledge capture plus real mentorship keep expertise from walking out the door and leaving a huge knowledge gap.

Strengthen multisite communication

For organizations operating across borders, AI can speed up translation and the consolidation of standard operating procedures (SOPs) across languages and locations. Fragmented, inconsistent documentation is a well-known source of compliance risk and deferred maintenance. Harmonizing SOPs into clear, consistent guidance across a global portfolio improves both safety and service consistency, and it does so faster than manual methods ever allowed.

A good place to begin is with the one or two on-staff experts whose knowledge would hurt the most to lose, capturing it now rather than waiting for a retirement date. A short, practical AI session built around a real task does more to build team comfort than any policy memo ever will. Volunteering to lead that effort, especially where the organization has no plan of its own, can be a fast route to visibility and advancement.

Maintain the mindset

For FMs, the rise of AI reads less like a threat and more like a rare career opening. A historic infrastructure build-out, an aging and scarce workforce, and tools that multiply individual capability all point in the same direction: experienced facility judgment is becoming more valuable, not less. That shift also lowers the barrier to bigger moves. This is an unusually accessible moment to step out as an independent consultant or launch a facility-services practice, since work that once required a whole back-office team is now within reach of a small, focused operator.

AI can draft a maintenance plan, but it cannot stand in a basement and fix a boiler. That foundation still belongs to the professional. Career acceleration is open to anyone in the profession ready to take a leap now, by going where demand is growing, by using AI to amplify rather than replace expertise, and by helping others do the same.