Will AI replace Facilities Managers?
AI reaches some of this job’s work, but most of it stays with people.
31/100
Moderate exposure
More exposed to AI than 47% of US workers.
- AI already used in
- 0% of the work
- As AI tools mature: up to
- 52% of the work
What the job involves
Plan, direct, or coordinate operations and functionalities of facilities and buildings. May include surrounding grounds or multiple facilities of an organization's campus.
Where AI reaches the work
The job’s main tasks, heaviest first, by how far AI reaches them.
Within reach(5)
- Monitor the facility to ensure that it remains safe, secure, and well-maintained.
- Set goals and deadlines for the department.
- Plan, administer, and control budgets for contracts, equipment, and supplies.
- Prepare and review operational reports and schedules to ensure accuracy and efficiency.
- Conduct classes to teach procedures to staff.
Out of reach(6)
- Oversee the maintenance and repair of machinery, equipment, and electrical and mechanical systems.
- Oversee construction and renovation projects to improve efficiency and to ensure that facilities meet environmental, health, and security standards, and comply with government regulations.
- Participate in architectural and engineering planning and design, including space and installation management.
- Acquire, distribute and store supplies.
- Dispose of, or oversee the disposal of, surplus or unclaimed property.
and 1 more
Also called
Facilities Coordinator · Facilities Director · Facilities Engineer · Facilities Maintenance Manager · Maintenance Superintendent · Building Maintenance Superintendent · Building Services Supervisor · Facilities Manager
Related jobs
What these numbers mean
The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.
“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.
The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.
Sources
- O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
- GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
- Anthropic Economic Index: labor market impacts (task penetration), Anthropic
- Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics