Facility and workplace management are seeing a much-deserved boost. At many organizations, they’ve moved from cost center to strategic partner, with organizations expecting FM leaders to influence resilience, workforce experience, and long-term value, according to the 2025 Global State of Facilities Management Report.

It’s good news, but not surprising considering the proven power of properly aligned programs. Employees in high-performing, human-centered environments are significantly more likely to stay, engage, and perform well, according to workplace research from Gensler’s 2025 and 2026 Global Workplace Surveys.

At the same time, though, many facility management, workplace strategy, and corporate real estate leaders are confronting a growing tension: the tools keep accelerating, but organizational readiness lags, especially when fixes narrowly focus on simply adding to the existing tech stack.

Key takeaways

  • Facility management is evolving from cost center to strategic partner, with leaders now expected to influence organizational resilience, workforce experience, and long-term value through human-centered decision-making rather than pure operational efficiency
  • AI and advanced technologies require strong operational foundations to deliver value, making fundamentals like data discipline, clear processes, and change management more critical than ever as tools accelerate faster than organizational readiness
  • Mastering the basics enables sustainable scaling, as organizations that invest in people development, process clarity, and governance are better positioned to leverage innovation without amplifying existing weaknesses or creating new complexity

As complexity accelerates, leaders should be thinking about fundamentals, including people, process, ethics, data, and operational basics, not as a retreat from innovation, but to make progress possible and sustainable.

Sustainable progress starts with people

One of the clearest shifts we’ve seen in workplace leadership is philosophical rather than technological. Human-centered decision-making is no longer treated as a “soft skill.” It is increasingly recognized as a competitive advantage.

It’s an idea workplace consultant Tonya Thornburgh explores in “Just Stay Human” โ€“ Designing Solutions That Create Value and Enhance Employee Experiences.

She cuts through the hype with a deceptively simple reminder: “Innovation isn’t necessarily about chasing the shiny tools or the hot new topic.”

Her point is not anti-technology. It is pro-clarity. Real progress begins with understanding how people actually work โ€” where friction slows them down, where responsibilities are unclear, and where environments introduce unnecessary complexity. When organizations skip that diagnostic step, new tools often automate confusion rather than eliminate it.

As AI transforms workplace strategy by enabling more personalized, intuitive, and data-driven experiences for employees, she argues that empathy and human experience should remain central to workplace innovation.

A closely related theme appears in “The Ubuntu Workplace” โ€“ Designing for Humanity and the Future of Work, when Hassan Shaikh draws on the South African philosophy of Ubuntu โ€” “I am because we are” โ€” to reframe workplace design around collective well-being rather than individual optimization.

Shaikh, a South African-born workplace strategist who brings over two decades of global experience to reimagining how people and organizations connect through space, challenges long-standing assumptions about standardized workplaces and generic planning models.

Through his doctoral research, Shaikh developed a polycontextual workplace model that addresses the frustration many organizations face when the office wasn’t designed for the people who work there. Efficiency-driven environments may look consistent on paper, but they often overlook neurodiversity, cultural identity, and the varied ways people engage with work.

His argument is not for abandoning structure, but for building it around human context rather than abstract averages. As facility management and corporate real estate leaders evolve from support roles to “architects of organizational culture and performance,” Shaikh encourages continuous learning, curiosity, bravery, and empathy.

Embracing the future of AI can start with refocusing on the fundamentals

If human-centered leadership is gaining renewed attention, AI is a major reason โ€” and not because the technology itself is inherently disruptive.

In the Workplace Innovator podcast episode “Ahead by a Century” โ€“ AI Ethics, Continuous Learning, and the Future of Facility Management, Lorri Rowlandson, senior vice president of strategy and innovation at BGIS, frames AI first as a leadership and readiness challenge, not a tools issue.

Rowlandson keeps returning to the idea of “practical innovation,” pushing back on what she calls “innovation theater.” As AI capabilities expand, she argues, organizations are being forced to confront fundamentals they often overlook like unclear data ownership, inconsistent processes, and a lack of shared accountability. Without those basics in place, even well-intended AI initiatives struggle to deliver value.

The industry data supports her perspective. AI adoption in facility management has reached 28% across all organizationsโ€”rising to 46% for large organizations with 100,000 or more employees. FM-specific AI applications are delivering measurable operational benefits, with asset lifecycle solutions and automated record keeping among the top functions.

Yet Rowlandson stresses that mature AI adoption includes leadership skills that don’t show up on a technology roadmap.

Change management, emotional intelligence, and continuous learning, she notes, become critical as AI reshapes operational workflows.

Change management ensures teams understand why new AI tools are being introduced and how to use them effectively, reducing resistance and accelerating adoption. Emotional intelligence helps leaders navigate the human side of technological transformation โ€” recognizing when team members feel threatened by automation, addressing concerns with empathy, and building trust through transparent communication. Continuous learning shifts the focus from static expertise to adaptive capability: as AI handles routine tasks, FM professionals must develop skills in prompt engineering, data interpretation, and strategic decision-making that complement rather than compete with machine capabilities.

She encourages FM professionals to view change through multiple lenses including personal productivity, organizational efficiency, and client value creation, emphasizing that curiosity, creativity, and problem-solving are more valuable than static knowledge, which is increasingly accessible via AI tools. Using tools responsibly is less about speed and more about preparing people to make good decisions at scale.

As AI embeds deeper into day-to-day operations, it acts less like a shortcut and more like a stress test, amplifying both strengths and weaknesses. Companies that treat AI as plug-and-play quickly expose gaps in governance. Those that invest in data discipline, process rigor, and learning are better positioned to scale.

The core takeaway here isn’t caution, but clarity. AI makes everything faster accelerant โ€” and fundamentals determine what happens next.

Mastering the basics means you can better scale

Experience has taught most facility management leaders that organizations cannot scale safely without first mastering the basics.

That hard-earned perspective comes through clearly in Asset Champion episode “Be Solid in Your Basics” โ€“ A Facility Management Journey in the Financial Services Industry with guest Bryan Glatfelter, CFM, FMP, AVP and facilities officer at Ephrata National Bank.

“Always know your basicsโ€ฆ Be solid in your basics, from ground up, from construction.” His point reflects the realities of highly regulated, multi-site environments, where success depends less on experimentation and more on disciplined execution.

When systems fail or crises hit, organizations do not innovate their way out. They execute. That execution depends on whether data is reliable; roles are clear, and processes are understood long before they are tested.

Stay on top of the trends in intelligent worktech and facility management

Workplace and facility management are constantly evolving with new technologies, regulations, and best practices. Industry professionals always have something new to learn.

Visit our resource page for more videos, podcasts, and webinars to stay updated on the latest trends.

Frequently Asked Questions

  • Why should FM leaders focus on fundamentals when technology is advancing so rapidly?

    As complexity accelerates through AI and other emerging tools, organizations need strong operational foundations to succeed. Without clarity around data ownership, consistent processes, and shared accountability, even well-intended technology initiatives struggle to deliver value. Fundamentals aren’t a retreat from innovation โ€” they’re what make sustainable progress possible.

  • What does human-centered workplace leadership actually mean?

    Human-centered leadership starts with understanding how people actually work: where friction slows them down, where responsibilities are unclear, and where environments introduce unnecessary complexity. It means designing around human context, collective wellbeing, neurodiversity, and varied work styles rather than abstract averages or standardized models. This approach is increasingly recognized as a competitive advantage rather than a soft skill.

  • How is AI changing facility management readiness requirements?

    AI acts as both an accelerant and a stress test, amplifying both organizational strengths and weaknesses. It’s forcing FM leaders to address fundamentals they often overlook while also requiring new leadership capabilities like change management, emotional intelligence, continuous learning, and the ability to make good decisions at scale. Mature AI adoption depends less on the technology itself and more on whether organizations are prepared to use it responsibly.

  • Why is change management important for AI adoption in facilities?

    Change management ensures teams understand why new tools are being introduced and how to use them effectively, reducing resistance and accelerating adoption. As AI reshapes operational workflows, facility management professionals need to shift from static expertise to adaptive capabilityโ€”developing skills in data interpretation and strategic decision-making that complement rather than compete with machine capabilities.

  • What does it mean to be "solid in your basics" before scaling?

    Organizations cannot scale safely without first mastering operational fundamentals. In highly regulated, multi-site environments, success depends on disciplined execution โ€” reliable data, clear roles, and well-understood processes that are established long before they’re tested. When systems fail or crises hit, organizations execute their way out based on foundational strength, not improvisation.

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As a content creator at Eptura, Jonathan Davis covers asset management, maintenance software, and SaaS solutions, delivering thought leadership with actionable insights across industries such as fleet, manufacturing, healthcare, and hospitality. Jonathanโ€™s writing focuses on topics to help enterprises optimize their operations, including building lifecycle management, digital twins, BIM for facility management, and preventive and predictive maintenance strategies. With a master's degree in journalism and a diverse background that includes writing textbooks, editing video game dialogue, and teaching English as a foreign language, Jonathan brings a versatile perspective to his content creation.