Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 11-3013.00
Plan, direct, or coordinate operations and functionalities of facilities and buildings. May include surrounding grounds or multiple facilities of an organization's campus.
Also called: Facilities Director · Facilities Maintenance Manager · Facilities Manager · Facilities Operations Manager (Facilities Ops Manager) · Building Maintenance Superintendent · Building Services Supervisor · Facilities Coordinator · Facilities Engineer · Facilities Operations Specialist (Facilities Ops Specialist) · Maintenance Superintendent · Building Manager · Conference Center Manager
Job family: Management Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-11-3013-00/context.md directly.
A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
32nd-percentile task overlap — yet about 13,200 openings a year (+3.8% projected, BLS) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) Moderate | 52nd | 0.6 | |
| AI assistant applicability (Microsoft) Low | 15th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.0), with simple added tooling (β 0.3), and including AI-powered software (γ 0.6). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +3.8% by 2034 |
| Projected annual openings | 13,200 |
| Employment 2024 → 2034 | 151,400 → 157,100 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 11 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Speaking | 3.9 | |
| Reading Comprehension | 3.8 | |
| Active Listening | 3.8 | |
| Critical Thinking | 3.8 | |
| Monitoring | 3.8 | |
| Writing | 3.3 | |
| Active Learning | 3.1 |
| Oral Comprehension | 3.8 | |
| Written Comprehension | 3.8 | |
| Oral Expression | 3.8 | |
| Problem Sensitivity | 3.8 | |
| Information Ordering | 3.8 | |
| Written Expression | 3.6 | |
| Deductive Reasoning | 3.6 | |
| Inductive Reasoning | 3.6 | |
| Speech Recognition | 3.6 | |
| Near Vision | 3.5 | |
| Speech Clarity | 3.5 | |
| Category Flexibility | 3.1 | |
| Far Vision | 3.1 |
| Social Perceptiveness | 3.6 | |
| Coordination | 3.6 | |
| Judgment and Decision Making | 3.5 | |
| Management of Personnel Resources | 3.5 | |
| Complex Problem Solving | 3.4 | |
| Time Management | 3.4 | |
| Instructing | 3.3 | |
| Persuasion | 3.1 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 59.
Showing the top 40 of 49.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Business, Management, Marketing, and Related Support Services , Construction Trades , Engineering/Engineering-Related Technologies/Technicians , Family and Consumer Sciences/Human Sciences , Health Professions and Related Programs , Multi/Interdisciplinary Studies , Parks, Recreation, Leisure, Fitness, and Kinesiology . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Associate's Degree (or other 2-year degree) | 57.3% | |
| High School Diploma | 14.6% | |
| Some College Courses | 11.3% | |
| Post-Secondary Certificate | 9.4% | |
| Bachelor's Degree | 7.1% | |
| Post-Baccalaureate Certificate | 0.2% | |
| Master's Degree | 0.2% |
The interests and personal qualities O*NET associates with people who do this work.
| Management/Administration | 6.2 | |
| Engineering | 3.4 | |
| Mechanics/Electronics | 3.3 | |
| Construction/Woodwork | 3.1 | |
| Accounting | 2.9 | |
| Human Resources | 2.8 | |
| Office Work | 2.7 | |
| Business Initiatives | 2.6 | |
| Public Speaking | 2.6 |
| Enterprising | 5.3 | |
| Conventional | 5.3 | |
| Realistic | 4.2 | |
| Social | 3.6 | |
| Investigative | 2.6 |
| Dependability | 4.0 | |
| Attention to Detail | 3.0 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $62,550 |
| 25th percentile | $80,150 |
| Median (50th) | $104,690 |
| 75th percentile | $135,650 |
| 90th percentile | $173,080 |
| People employed | 141,090 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Educational Services · Sector | 18,990 | $98,430 |
| Manufacturing · Sector | 17,210 | $125,640 |
| Health Care and Social Assistance · Sector | 15,780 | $96,470 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 9,670 | $97,620 |
| Management of Companies and Enterprises · Sector | 8,350 | $122,240 |
| Arts, Entertainment, and Recreation · Sector | 8,120 | $91,050 |
| Professional, Scientific, and Technical Services · Sector | 7,030 | $128,970 |
| Real Estate and Rental and Leasing · Sector | 6,930 | $104,990 |
| Accommodation and Food Services · Sector | 6,670 | $93,560 |
| Transportation and Warehousing · Sector | 5,940 | $118,710 |
| Other Services (except Public Administration) · Sector | 5,080 | $80,370 |
| Wholesale Trade · Sector | 4,610 | $102,890 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Nuclear Electric Power Generation · National industry | 6.47× | 220 |
| Arts, Entertainment, and Recreation · Sector | 3.36× | 8,120 |
| Management of Companies and Enterprises · Sector | 3.25× | 8,350 |
| Real Estate and Rental and Leasing · Sector | 3.2× | 6,930 |
| Fossil Fuel Electric Power Generation · National industry | 3.07× | 200 |
| Casino Hotels · National industry | 2.79× | 860 |
| Utilities · Sector | 2.09× | 1,110 |
| Television Broadcasting Stations · National industry | 1.85× | 110 |
Part of the Energy & Natural Resources , Management & Entrepreneurship and Public Service & Safety career clusters.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Facilities Managers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
See where this work sits in the bigger picture.
Facilities Managers show 32nd-percentile AI task overlap — and about 13,200 annual U.S. openings
Facilities Managers show 32nd-percentile AI task overlap — and about 13,200 annual U.S. openings • Facilities Managers rank in the 32nd percentile (Low band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 13,200 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+3.8%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $104,690, across about 141,090 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Facilities Managers". https://singulariki.com/roles/role-11-3013-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Facilities Managers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026. https://singulariki.com/roles/role-11-3013-00
Singulariki. (2026). Facilities Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-3013-00
@misc{singulariki-role-11-3013-00,
title = {Facilities Managers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-11-3013-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.