Carpet Installers
Construction, Maintenance & RepairAI exposure
- Data source: BLSPublished: 2026-08
Low· 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
0.000
0.000Range of values carried here0.745Scale, basis and source
- Data source: ILOPublished: 2025
0.10
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, 98% 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
Exposed tasks onlyValues 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 |
|---|---|
Take measurements and study floor sketches to calculate the area to be carpeted and the amount of material needed.O*NET Task ID 2839 | 0.5 |
Draw building diagrams and record dimensions.O*NET Task ID 2845 | 0.5 |
Join edges of carpet and seam edges where necessary, by sewing or by using tape with glue and heated carpet iron.O*NET Task ID 2833 | 0.0 |
Cut and trim carpet to fit along wall edges, openings, and projections, finishing the edges with a wall trimmer.O*NET Task ID 2834 | 0.0 |
Inspect the surface to be covered to determine its condition, and correct any imperfections that might show through carpet or cause carpet to wear unevenly.O*NET Task ID 2835 | 0.0 |
Roll out, measure, mark, and cut carpeting to size with a carpet knife, following floor sketches and allowing extra carpet for final fitting.O*NET Task ID 2836 | 0.0 |
Plan the layout of the carpet, allowing for expected traffic patterns and placing seams for best appearance and longest wear.O*NET Task ID 2837 | 0.0 |
Stretch carpet to align with walls and ensure a smooth surface, and press carpet in place over tack strips or use staples, tape, tacks or glue to hold carpet in place.O*NET Task ID 2838 | 0.0 |
Cut carpet padding to size and install padding, following prescribed method.O*NET Task ID 2840 | 0.0 |
Install carpet on some floors using adhesive, following prescribed method.O*NET Task ID 2841 | 0.0 |
Nail tack strips around area to be carpeted or use old strips to attach edges of new carpet.O*NET Task ID 2842 | 0.0 |
Fasten metal treads across door openings or where carpet meets flooring to hold carpet in place.O*NET Task ID 2843 | 0.0 |
Measure, cut and install tackless strips along the baseboard or wall.O*NET Task ID 2844 | 0.0 |
Move furniture from area to be carpeted and remove old carpet and padding.O*NET Task ID 2846 | 0.0 |
Cut and bind material.O*NET Task ID 2847 | 0.0 |
Clean up before and after installation, including vacuuming carpet and discarding remnant pieces.O*NET Task ID 20142 | 0.0 |
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®, Eloundou et al. (2023): see full notices on the Credits page