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AI Automation Index
Will AI Replace Facilities Managers?
Task-level automation exposure for Facilities Managers: 11 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
52%
weighted task index
11 of 11 tasks scored
Median Salary
$106,660 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
High
156,180 people hold this job — size, not growth
Projected 2025–35
+4.6%
employment change
14,200 openings a year · BLS line item
Pay by state
BLS OEWS publishes 54 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$66,420 – $139,990
Highest medians
Washington $139,990
New York $131,350
Delaware $129,260
New Jersey $124,110
Massachusetts $124,100
Lowest medians
Virgin Islands $66,420
Puerto Rico $72,500
Guam $79,560
Vermont $88,710
Arkansas $89,810
State figures come from the 11-3013 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 52%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 0%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 49%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 9%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 9%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 18/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
11 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 32%
4 tasks
Medium exposure (≥ 35%) 46%
5 tasks
Low exposure (below 35%) 21%
2 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Emerging & rewritten tasks
Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.
- Revision 08/2024 · Incumbent
Plan, create, and manage budgets for contracts, equipment, and supplies.
Replaced: Plan, administer, and control budgets for contracts, equipment, and supplies.
- New 08/2024 · Incumbent
Review and approve payroll for employees.
Constituent Tasks
#21276 · Core · 45% automatable
Monitor the facility to ensure that it remains safe, secure, and well-maintained.
data analysis — Systems data monitored by AI; facilities need human oversight
Monitor facilities or operational systems.
#21278 · Core · 25% automatable
Oversee the maintenance and repair of machinery, equipment, and electrical and mechanical systems.
physical manipulation — Facility maintenance direction requires hands-on site oversight
Direct facility maintenance or repair activities.
#21277 · Core · 22% automatable
Oversee construction and renovation projects to improve efficiency and to ensure that facilities meet environmental, health, and security standards, and comply with government regulations.
interpersonal — Managing construction is site leadership and accountability
Manage construction activities.
#21280 · Core · 72% automatable
Revision
Plan, administer, and control budgets for contracts, equipment, and supplies.
data analysis — Budget drafting from assumptions; human validates assumptions
Prepare operational budgets.
#21279 · Core · 55% automatable
Participate in architectural and engineering planning and design, including space and installation management.
decision support — Layout planning aided; human owns design
Plan facility layouts or designs.
#21282 · Core · 58% automatable
Set goals and deadlines for the department.
text generation — Goals drafted; leadership accountability human
Develop organizational goals or objectives.
#21273 · Core · 45% automatable
Conduct classes to teach procedures to staff.
interpersonal — Program design aided, delivery and engagement are human
Conduct employee training programs.
#21281 · Core · 82% automatable
Prepare and review operational reports and schedules to ensure accuracy and efficiency.
text generation — Status/progress reports from tracked data
Prepare operational progress or status reports.
#21272 · Core · 67% automatable
Acquire, distribute and store supplies.
data analysis — Inventory management systems; human handles physical counts
Manage inventories of products or organizational resources. Purchase materials, equipment, or other resources.
#21274 · Core · 50% automatable
Dispose of, or oversee the disposal of, surplus or unclaimed property.
decision support — Allocation decisions need human judgment and authority
Allocate physical resources within organizations.
#21275 · Supplemental · 65% automatable
Manage leasing of facility space.
decision support — Procurement drafting and comparison; human commits funds
Purchase materials, equipment, or other resources.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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