Innovation & Tech

JLL's 88,000-Person Division Meets AI's Cold Arithmetic

JLL's Neil Murray says AI won't shrink his 88,000-person division, but his company's survey shows 89% of organizations expect budgets to shift from labor to technology by 2030.

By Daniel Okafor

4 min read

The humanist at the top of real estate’s automation machine: ‘I happen to despise the term headcount in the world of AI’
The humanist at the top of real estate’s automation machine: ‘I happen to despise the term headcount in the world of AI’Bernd 📷 Dittrich / unsplash

What's News

  • 89% of 1,321 organizations surveyed by JLL expect facility management budgets to shift from labor toward technology and automation.
  • 87% expect outsourcing contracts to move to outcome-based pricing by 2030; robotics adoption is set to jump from 37% to 71%.
  • Neil Murray oversees 88,000 people managing nearly six billion square feet of buildings at JLL.
  • Employers need an estimated 1.7 million skilled-trades workers annually through 2035; only 9% of high schoolers consider a trade.
  • JLL describes division headcount as "stable" and projects flat or modest growth in 2027.

Eighty-nine percent of organizations surveyed by JLL expect facility management budgets to shift from labor toward technology and automation. That single figure sits at the center of a tension inside the commercial property giant, between the man who runs its 88,000-person Real Estate Management Services division and the procurement logic his own company documents.

Neil Murray, head of Real Estate Management Services at JLL, does not talk like an executive preparing to automate a workforce. His organization keeps nearly six billion square feet of buildings functioning daily. Yet he recoils from corporate jargon when the subject turns to artificial intelligence.

"I happen to despise the term headcount in the world of AI," Murray told Fortune. "I think it sort of dehumanizes what we're talking about."

What do JLL's own numbers say?

While Murray dismisses the idea that AI will shrink the workforce, JLL's internal staffing tells a more measured story. Asked whether headcount in his division has actually grown over the past three years, the company declined to provide figures ahead of earnings. A spokesperson described headcount as merely "stable" and projected it to hold flat or grow only modestly in 2027. JLL does not break out standalone headcount for the division.

Instead, the company offered a redefinition of corporate growth. "Stability does not equate to stagnation," a JLL spokesperson told Fortune. "In an environment where AI is genuinely improving individual productivity, holding headcount flat while increasing output is actually a meaningful result."

Murray himself goes further, staking his position on an article of faith increasingly rare among corporate leadership.

"This is my profound belief," he said. "I say that as a leader and as a parent—a profound belief that we will create better jobs, more impactful jobs, more human-centric jobs—and automate some of the jobs that people didn't enjoy doing anyway. The notion that AI will somehow reduce the number of people we have serving this industry is just not right."

How does outcome-based pricing change the economics?

The tension sits squarely inside JLL's 2026 Global State of Facilities Management Report, a survey of 1,321 organizations across 15 countries, provided exclusively to Fortune ahead of release. While Murray calls technology an unalloyed amplifier of human talent, the surveyed organizations plan an explicit shift away from payroll. Beyond the 89% expecting budget shifts, 87% expect outsourcing contracts to abandon labor-based models in favor of outcome-based pricing by 2030.

That contractual tweak rewires the financial incentives of commercial property. Under traditional facilities contracts, providers bill clients for hours and bodies on-site; more staff translates directly into more revenue. Under outcome-based agreements, clients pay fixed fees for performance metrics—unbroken uptime, completed work orders, or reduced energy consumption. In that structure, every hour of human labor ceases to be a revenue stream and becomes a direct cost against the provider's profit margin.

Why robotics does not need to be humanoid

Murray dismissed fears of job replacement by leaning on the limits of current robotics. "Humanoid robots doing engineering work are a long way off," he said, adding that the view was his own opinion.

He is almost certainly right that an android will not diagnose a complex commercial boiler system anytime soon. But corporate real estate does not need humanoid robots to reduce staffing levels. JLL's report notes that client adoption of robotics is poised to nearly double, jumping from 37% today to 71% by 2030. The company concedes the surge will come from "purpose-built technologies, not humanoids"—specifically autonomous scrubbers, robotic lawn care, and remote security systems. These machines do not displace licensed HVAC engineers; they displace cleaners, security personnel, and access-control staff.

Can demographic scarcity save the trades?

Murray's confidence rests heavily on demographic scarcity. In key markets, JLL cannot find enough bodies to fill open roles. Sixty-eight percent of organizations report that skilled-trades shortages disrupted operations over the past year. Across the broader economy, employers require an estimated 1.7 million skilled-trades workers annually through 2035, even as nearly a quarter are 55 or older.

"The trades have probably been out of vogue for a generation," Murray said. "Ironically, with AI, people are seeing the value of those skilled trades now… I do see a golden age for trades."

That golden age remains distant. Research from the Ad Council and Ford Motor Company found that only 9% of high school students are actively considering entering a trade.

Murray's defense of the physical workforce is heartfelt, rooted in community, and delivered with obvious warmth. He is aware the record is running. "I certainly hope," he added, "those comments don't age badly."

The bet now rests on whether flat headcount plus rising output can hold once 87% of clients start paying for outcomes instead of hours in 2030.

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Daniel Okafor

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Correspondent covering money, funding and market shifts around entrepreneurship, startups and venture funding at Business Bearings.

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