Roadmap to scale: Aligning mandate, platform and workforce

A more volatile operating environment, accelerating AI adoption, and disruptive workforce gaps are pushing facilities management well beyond its traditional role as a cost center. It is rapidly becoming a function occupiers expect to deliver real enterprise value. Globally, 50% see FM as a driver of competitive advantage today, but that figure is set to surge to 82% by 2030.

• FM is moving into the boardroom: FM is on track to become a C-suite priority for four in five occupiers by 2030. Treating FM as a cost line rather than a lever for differentiation will become the outlier, not the norm.
• AI- and robotics-led transformation is already underway: Today, 45% of FM operations are already scaling AI across the portfolio, and of those still piloting, 92% plan to reach scale within five years. However, data readiness is the widest gap in FM's AI foundations.
• Strategic FM isn’t leaner FM: Among occupiers valuing FM strategically, 64% plan to raise their FM budget, 58% plan to expand headcount, and 45% expect both to rise.
• Momentum is meeting resistance on data, skills and decision-making: Shortages in skilled trades and AI/technical skills are FM operators' greatest vulnerability, while decision fragmentation is a top barrier to the industry's transformation from a labor-based to an outcome-led model.

Facilities management closes out 2026 having settled a long-debated question: does it belong in the boardroom? It does. Today, 50% of occupiers consider FM a high-impact driver of competitive advantage, rating it 8 or higher on a 10-point scale — a group the survey defines as strategic operators. By 2030, that share is expected to grow significantly to 82%. Among those currently placing FM's value at 7 or lower, 86% expect it to rise by an average of 2.2 points. Meanwhile, the share of cost center operators — occupiers placing FM's strategic impact at 5 or lower — is expected to decrease from 16% today to just 6% by 2030. Strategic operators and cost center operators approach FM with fundamentally different mandates, resources and decision logics.

The strategic elevation is happening alongside a structural shift in FM capabilities. Since its inception, FM has been a labor-driven discipline. Its output has scaled with headcount, and what it could deliver was capped by the size of the workforce behind it. Widening deployment of AI and robotics is giving FM a new lever for output that doesn't depend solely on headcount, raising the capability and productivity ceiling, though the true impact has yet to fully play out.

Today, 45% of occupiers are already scaling or optimizing AI within their FM operations. By 2030, that share is expected to reach 86%. Scaled robotics deployment trails AI today but follows the same upward trajectory, reported by 37% of occupiers currently and projected to reach 71% in five years.

The new productivity lever is expected not only to drive greater operational efficiency but also to expand FM’s mandate as a whole. Among occupiers valuing FM strategically, 64% plan to raise their FM budget, 58% plan to expand headcount, and 45% expect both to rise. It’s not about doing more with less, but actively deploying more resources against a wider scope to deliver greater enterprise value. The commercial model is expected to follow: 87% of occupiers agree that FM outsourcing will shift from labor-based to outcome-based pricing by 2030, rewarding providers for efficiency and innovation gains that a labor-priced contract can’t capture.

Despite broad consensus on FM's strategic elevation and the shift to outcome-based contracting, 75% of occupiers say procurement has yet to keep pace with the ambitions they now hold for FM. Two obstacles stand in the way: outcomes that are hard to measure consistently, and decision rights split across functions that define success differently.

FM metrics tied to high strategic impact, such as AI-led productivity gains, energy cost performance and business continuity value, are often hard to attribute or quantify. Data fragmentation, portfolio variability and the lack of industry standardization present additional barriers to quantifying outcomes consistently.

Additionally, 71% of occupiers split FM decision-making for budget, delivery model and provider selection across two or three functions. Priorities for what counts as success vary by function, leaving no single owner positioned to reconcile them into a shared scorecard. Nonetheless, as organizations mature in AI adoption, decision authority tends to consolidate into fewer, more senior hands.

FM’s rising mandate raises the bar for the platform it runs on. Of the six operational foundations assessed, only 32% of occupiers pre-AI deployment report readiness on four or more, a share that rises sharply to 51% for pilot-stage occupiers and 85% for occupiers at scale-stage. With 92% of today's pilot-stage occupiers aiming to reach scale within five years, comprehensive operational readiness stands between intent and outcome.

Data readiness represents the weakest starting foundation and the widest gap to close. FM runs on a continuous, high-volume flow of data, but occupiers often encounter data fragmentation and inconsistencies that undercut the predictive and automation capabilities AI is meant to deliver.

As FM's scope expands and AI grows more complex, a stronger internal foundation doesn't reduce the need for a partner; it heightens it. Conviction that external FM or tech partnership is essential more than doubles, from 20% of occupiers pre-AI deployment to 48% of those scaling or optimizing their deployment.

Outsourcing plans point the same way: 58% of occupiers at scale or optimization plan to increase FM outsourcing over the next three to five years, compared to 55% of those in pilot phase and 43% of those pre-deployment. Partnership isn't a stopgap for immature operations. It's what scaled AI increasingly runs on.

What occupiers look for in a partner changes along the way. Early-stage AI adopters seek a reliable pair of hands backed by competitive pricing, while mature ones increasingly evaluate providers on data and tech capabilities that help differentiate and transform. Yet 39% of occupiers scaling AI still select providers primarily on cost or reliability and are not drawing on external partnerships to bring in the differentiating capabilities that a scaled operation demands.

Sustaining strategic value requires operational resilience amid persistent disruption. This year's survey reveals the industry's single biggest vulnerability: people. Over the past year, no risk factor has disrupted FM operations more than workforce insufficiencies — nearly 70% of organizations report disruption from skilled trades labor shortages and from AI and technical skills gaps, yet less than 45% report being prepared to manage these risks over the next three to five years, demonstrating the widest shortfalls between disruption and readiness.

An aging workforce and decades of low enrollment in vocational schools have led to a generational gap in trades talent supply. Gaps in AI and technical skills add another barrier, as building systems, FM tools and orchestration platforms are all becoming increasingly sophisticated and require advanced digital fluency. Together these two pressures describe an end-to-end talent challenge. To ensure operational continuity, organizations must expand the pipeline of hands-on trades expertise that keeps buildings running, while simultaneously building the advanced digital capabilities needed to modernize how they're run.

The industry has reached consensus on where FM is heading—the path forward will be defined by execution. Occupiers moving fastest are those aligning around an elevated mandate, strengthening platform readiness, and building the sustainable workforce capabilities to set the pace for the next decade.

This year's JLL Global State of Facilities Management Report draws on insights from 1,321 organizations across 15 countries in the Americas, EMEA and APAC, spanning a diverse range of industry sectors, portfolio types and technology maturity stages.