Facilities Managers
United States · BLS Employment Projections 2024–34 (figures for SOC 11-3013 occupational group)
AI exposure in published research
Figures below are reproduced from external datasets without modification. Where a dataset does not cover this occupation, the value is shown as — rather than as zero.
Data provider: OpenAI · "GPTs are GPTs"
Time basis: 2023 baselineex-ante estimate
Scored against GPT-4-generation capability.
- Human rater basis
- 27.3%
- GPT-4 rater basis
- 31.8%
β = direct exposure (E1) + 0.5 × exposure when tools are available (E2), per the source repository's definition.
11 rated tasks · 7 tasks with β ≥ 0.5 (63.6%)
- Version:
- gh-main-0471612
- License:
- MIT License · Copyright (c) 2024 OpenAI
Data provider: Anthropic Economic Index
Time basis: Published 2026-03-05composite index
- Observed exposure
- 13.5%
Theoretical exposure index weighted by measured Claude usage, per the original report's definition.
14 tasks · usage observed in 0 · mean 0.0%
Data: Anthropic Economic Index — labor_market_impacts, CC-BY, https://huggingface.co/datasets/Anthropic/EconomicIndex
AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.
- Version:
- hf-lmi-2026-03
- License:
- CC BY 4.0
- Observation period:
- — (not applicable to this release)
- Model:
- — (not stated by the source)
- Definition source:
- https://www.anthropic.com/research/labor-market-impacts
2023 prediction vs observation-based index published 2026-03-05
One card (GPTs are GPTs) is a 2023 estimate of what AI could theoretically do; the other (Anthropic Economic Index) is built from observed usage and was published on 2026-03-05 — that is its publication date, not the period it observed. They measure different things, so the two figures cannot be added, averaged, or ranked against each other. The older figure is kept here as a baseline for comparison rather than removed.
Caution: the Anthropic figures — observed exposure and task penetration — take the Eloundou β as one of their inputs. The two sides resembling each other is therefore not evidence that the earlier prediction came true; reading it that way is circular reasoning.
The Anthropic figures are measured on Claude users, who are not the whole economy and not the whole workforce.
The mapping of O*NET tasks and occupation codes was performed by AI Changing Work. The source figures themselves were not modified.
These indices are not forecasts. Which point in time each one belongs to is stated on the badge on its card.
Task Breakdown
- Monitor building systems data and generate maintenance schedules
- Track facility budgets and process vendor invoices
- Ensure regulatory compliance and manage safety documentation
- Oversee on-site repairs and coordinate emergency responses
About This Occupation
If you work as a Facilities Manager, AI is reshaping your profession. With an automation risk of 28/100 and overall exposure at 37%, this role faces medium transformation. The highest-impact area is monitor building systems data and generate maintenance schedules at 65% automation. This is classified as an 'augment' role. BLS projects +6% growth through 2034. AI-powered IoT platforms and predictive maintenance tools are revolutionizing building management, but on-site oversight and emergency coordination remain firmly human responsibilities.
ISCO-08 classification
Business Services and Administration Managers Not Elsewhere Classified
Indirect mapping — this occupation is linked to the ISCO unit group by a rule-based fallback.
Definition
ILO original text (English)
This unit group covers business services and administration managers not classified elsewhere in Minor Group 121: Business Services and Administration Managers. For instance, the group includes occupations such as facilities manager, cleaning services manager, administrative services manager employed either as the manager of a department of a large enterprise and organization, or of an enterprise that provides such services to other enterprises and organizations.
Definition & vocabulary source
Source: International Labour Organization (ILO) — ISCO-08 Structure
License: ILO CC BY 4.0
Official occupational information
- ONET11-3012.00
Administrative Services Managers
Plan, direct, or coordinate one or more administrative services of an organization, such as records and information management, mail distribution, and other office support services.
View original - ONET11-3013.00
Facilities Managers
Plan, direct, or coordinate operations and functionalities of facilities and buildings. May include surrounding grounds or multiple facilities of an organization's campus.
View original - ONET11-3013.01
Security Managers
Direct an organization's security functions, including physical security and safety of employees and facilities.
View original - ONET11-3061.00
Purchasing Managers
Plan, direct, or coordinate the activities of buyers, purchasing officers, and related workers involved in purchasing materials, products, and services. Includes wholesale or retail trade merchandising managers and procurement managers.
View original - ONET11-9131.00
Postmasters and Mail Superintendents
Plan, direct, or coordinate operational, administrative, management, and support services of a U.S. post office; or coordinate activities of workers engaged in postal and related work in assigned post office.
View original - ONET11-9199.00
Managers, All Other
All managers not listed separately.
View original - ONET11-9199.11
Brownfield Redevelopment Specialists and Site Managers
Plan and direct cleanup and redevelopment of contaminated properties for reuse. Does not include properties sufficiently contaminated to qualify as Superfund sites.
View original
Frequently Asked Questions
The Anthropic Economic Index puts observed exposure at 13.5%. The OpenAI "GPTs are GPTs" rubric puts occupation-level β at 27.3% under human raters. Both figures are reproduced from published research without modification.
They come from two published datasets: the Anthropic Economic Index (labor_market_impacts, CC BY 4.0) and the OpenAI "GPTs are GPTs" exposure rubric (MIT License, Copyright (c) 2024 OpenAI). AI Changing Work maps them onto O*NET occupation and task codes and does not calculate exposure scores of its own. AI Changing Work uses Anthropic Economic Index data under CC-BY; Anthropic does not endorse or sponsor this site or its analyses.
No. They are a diagnosis of exposure as measured at the time each source dataset was published. AI Changing Work publishes no prediction of future automation or job displacement for this occupation.
Recent Changes Affecting This Occupation
Mar 2026: Published evergreen blog post analyzing AI impact on facilities managers (37% exposure, 28% risk, augment mode)
[Source: AI Changing Work Blog]