Supervisors of Building and Grounds Cleaning Workers
Food Preparation & ServiceAI exposure
- Data source: BLSPublished: 2026-08
High· relative
LowFour relative bandsVery highGroup-level value
Scale, basis and source
Four relative bands (Low / Moderate / High / Very high)
831 detailed occupations in the BLS Employment Projections table. Assigned per National Employment Matrix (NEM) code, so occupations sharing a NEM code carry the same band
- Data source: AnthropicPublished: 2026-03
0.044
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.22
0.09Range of values carried here0.70Group-level value
Scale, basis and source
Generative AI exposure index, 0–1 as published
ISCO-08 unit group — every occupation sharing the code gets this value
Computed by this site, not published by the ILO: of the 1,012 occupations this site links to the ILO dataset, 81% score at or above this value.
What kind of figure this source publishes
The BLS category is a relative rank, not an absolute level, and it is not a first-hand measurement: it groups an occupation's percentile ranks across several published studies into four bands. It is not an employment or wage forecast, not a probability of adoption, and it does not separate automation from augmentation.
Task-level exposure
Show 19 hidden tasks| Task | Claude.aiRaw / share % | APIRaw / share % |
|---|---|---|
Select the most suitable cleaning materials for different types of linens, furniture, flooring, and surfaces.37-1011 | 0.047862.9 | 0.002913.2 |
Recommend changes that could improve service and increase operational efficiency.37-1011 | 0.016621.8 | —0 |
Prepare reports on activity, personnel, and information such as occupancy, hours worked, facility usage, work performed, and departmental expenses.37-1011 | 0.008711.5 | 0.003415.7 |
Establish and implement operational standards and procedures for the departments supervised.37-1011 | 0.00293.8 | 0.00167.4 |
Screen job applicants, and hire new employees. | —0 | 0.007534.8 |
Coordinate activities with other departments to ensure that services are provided in an efficient and timely manner. | —0 | 0.003918.1 |
Inspect and evaluate the physical condition of facilities to determine the type of work required. | —0 | 0.002310.8 |
Values in this tab are predicted labels, not observations. Eloundou et al. (2023) published two rating regimes — human raters and GPT-4 — and the β shown here is derived from the GPT-4 rater basis alone; the same task can take a different value under the other regime. The unit and the meaning differ from the observed shares (%) in the other tabs, so do not place them on the same axis.
| Task | βE1 + 0.5 × E2 |
|---|---|
Plan and prepare employee work schedules.O*NET Task ID 9514 | 1.0 |
Establish and implement operational standards and procedures for the departments supervised.O*NET Task ID 9527 | 1.0 |
Maintain required records of work hours, budgets, payrolls, and other information.O*NET Task ID 9531 | 1.0 |
Prepare reports on activity, personnel, and information, such as occupancy, hours worked, facility usage, work performed, and departmental expenses.O*NET Task ID 9536 | 1.0 |
Forecast necessary levels of staffing and stock at different times to facilitate effective scheduling and ordering.O*NET Task ID 9523 | 0.5 |
Evaluate employee performance and recommend personnel actions, such as promotions, transfers, and dismissals.O*NET Task ID 9525 | 0.5 |
Select and order or purchase new equipment, supplies, or furnishings.O*NET Task ID 9529 | 0.5 |
Recommend changes that could improve service and increase operational efficiency.O*NET Task ID 9530 | 0.5 |
Screen job applicants, and hire new employees.O*NET Task ID 9532 | 0.5 |
Perform financial tasks, such as estimating costs and preparing and managing budgets.O*NET Task ID 9535 | 0.5 |
β = E1 + 0.5 × E2 · E1 = tasks where direct LLM access alone cuts time by at least 50%, E2 = tasks where software built on top of an LLM cuts time by at least 50%. Values take only 0 / 0.5 / 1.0.
Data sources & licenses — O*NET®, Anthropic Economic Index, Eloundou et al. (2023): see full notices on the Credits page