Floor Layers

Construction, Maintenance & Repair

AI exposure

  • Data source: BLSPublished: 2026-08

    Low· relative

    LowFour relative bandsVery high

    Group-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

    Source dataset (XLSX download)

  • Data source: AnthropicPublished: 2026-03

    0.000

    0.000Range of values carried here0.745
    Scale, basis and source

    Observed exposure index, 0–1 as published

    Mapped onto O*NET tasks

    Source dataset

  • Data source: ILOPublished: 2025

    0.10

    0.09Range of values carried here0.70

    Group-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.

    Source dataset

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

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.

TaskβE1 + 0.5 × E2
Sweep, scrape, sand, or chip dirt and irregularities to clean base surfaces, correcting imperfections that may show through the covering.

O*NET Task ID 8253

0.0
Cut flooring material to fit around obstructions.

O*NET Task ID 8254

0.0
Inspect surface to be covered to ensure that it is firm and dry.

O*NET Task ID 8255

0.0
Trim excess covering materials, tack edges, and join sections of covering material to form tight joint.

O*NET Task ID 8256

0.0
Form a smooth foundation by stapling plywood or Masonite over the floor or by brushing waterproof compound onto surface and filling cracks with plaster, putty, or grout to seal pores.

O*NET Task ID 8257

0.0
Measure and mark guidelines on surfaces or foundations, using chalk lines and dividers.

O*NET Task ID 8258

0.0
Cut covering and foundation materials, according to blueprints and sketches.

O*NET Task ID 8259

0.0
Roll and press sheet wall and floor covering into cement base to smooth and finish surface, using hand roller.

O*NET Task ID 8260

0.0
Apply adhesive cement to floor or wall material to join and adhere foundation material.

O*NET Task ID 8261

0.0
Determine traffic areas and decide location of seams.

O*NET Task ID 8262

0.0
Lay out, position, and apply shock-absorbing, sound-deadening, or decorative coverings to floors, walls, and cabinets, following guidelines to keep courses straight and create designs.

O*NET Task ID 8263

0.0
Remove excess cement to clean finished surface.

O*NET Task ID 8264

0.0
Disconnect and remove appliances, light fixtures, and worn floor and wall covering from floors, walls, and cabinets.

O*NET Task ID 8265

0.0
Heat and soften floor covering materials to patch cracks or fit floor coverings around irregular surfaces, using blowtorch.

O*NET Task ID 8266

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

Occupation information