Community Sentiment
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Do you agree with the AI automation risk score calculated for this occupation?
AI Automation Index
Will AI Replace Floor Layers, Except Carpet, Wood, and Hard Tiles?
Task-level automation exposure for Floor Layers, Except Carpet, Wood, and Hard Tiles: 14 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
8%
weighted task index
14 of 14 tasks scored
Median Salary
$56,460 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Low
23,640 people hold this job — size, not growth
Projected 2025–35
+9.0%
employment change
2,200 openings a year · BLS line item
Pay by state
BLS OEWS publishes 44 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$37,710 – $92,860
Highest medians
Alaska $92,860
Massachusetts $79,280
Hawaii $77,280
Illinois $69,880
New York $61,360
Lowest medians
Montana $37,710
Oklahoma $38,030
Alabama $38,730
Arkansas $40,750
Louisiana $42,260
State figures come from the 47-2042 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 8%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 86%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 0%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 0%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 3/100
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
14 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) 0%
0 tasks
Medium exposure (≥ 35%) 0%
0 tasks
Low exposure (below 35%) 100%
14 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 →Constituent Tasks
#8259 · Core · 6% automatable
Cut covering and foundation materials, according to blueprints and sketches.
physical manipulation — Hand cutting of flexible flooring materials
Cut carpet, vinyl or other flexible materials.
#8256 · Core · 7% automatable
Trim excess covering materials, tack edges, and join sections of covering material to form tight joint.
physical manipulation — On-site trimming of installed materials
Trim excess material from installations.
#8254 · Core · 6% automatable
Cut flooring material to fit around obstructions.
physical manipulation — Hand cutting of flexible flooring materials
Cut carpet, vinyl or other flexible materials.
#8260 · Core · 3% automatable
Roll and press sheet wall and floor covering into cement base to smooth and finish surface, using hand roller.
physical manipulation — Skilled hand finishing of concrete surfaces
Finish concrete surfaces.
#8263 · Core · 4% automatable
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.
physical manipulation — Hands-on textured finish application
Apply decorative or textured finishes or coverings.
#8253 · Core · 7% automatable
Sweep, scrape, sand, or chip dirt and irregularities to clean base surfaces, correcting imperfections that may show through the covering.
physical manipulation — Surface preparation is hands-on physical work
Clean surfaces in preparation for work activities. Prepare surfaces for finishing.
#8258 · Core · 16% automatable
Measure and mark guidelines on surfaces or foundations, using chalk lines and dividers.
physical manipulation — Physical measurement for assembly fitting
Measure materials or objects for installation or assembly. Mark reference points on construction materials.
#8255 · Core · 20% automatable
Inspect surface to be covered to ensure that it is firm and dry.
visual inspection — On-site physical condition assessment is human work
Inspect work sites to determine condition or necessary repairs.
#8257 · Core · 5% automatable
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.
physical manipulation — Applying filler to surfaces is hands-on
Prepare surfaces for finishing. Apply material to fill gaps in surfaces.
#8261 · Core · 8% automatable
Apply adhesive cement to floor or wall material to join and adhere foundation material.
physical manipulation — Hands-on adhesive application in unstructured construction settings
Apply adhesives to construction materials.
#8262 · Core · 18% automatable
Determine traffic areas and decide location of seams.
physical manipulation — On-site data collection needs physical presence and instruments
Collect data about project sites.
#8264 · Core · 4% automatable
Remove excess cement to clean finished surface.
physical manipulation — Hands-on removal of excess construction materials
Remove excess materials from finished construction projects.
#8266 · Core · 5% automatable
Heat and soften floor covering materials to patch cracks or fit floor coverings around irregular surfaces, using blowtorch.
physical manipulation — Applying filler to surfaces is hands-on
Apply material to fill gaps in surfaces.
#8265 · Core · 5% automatable
Disconnect and remove appliances, light fixtures, and worn floor and wall covering from floors, walls, and cabinets.
physical manipulation — Hands-on removal of worn materials
Remove worn, damaged or outdated materials from work areas.
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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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