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AI exposure Construction and extraction

Will AI replace floor sanders and finishers?

Floor Sanders and Finishers. US occupation 47-2043.

0.0%

of the time floor sanders and finishers spend on their work goes on tasks where AI is already being used to do that work.of floor sanders and finishers' working hours go on tasks AI has already started taking off their plate.

Ranked 346 of 756 US occupations. No AI use seen in the work yet, along with 410 other occupations.No handover started yet, along with 410 other occupations.

Average US job 7.7%

Among the least exposed jobs there are.Still waiting for liberation.

What AI already does for floor sanders and finishersWhat floor sanders and finishers no longer do alone

O*NET lists 7 tasks for floor sanders and finishers. None of them shows meaningful AI use at work yet.

What it does not touch, yetWhat still needs a human

7 of the 7 tasks show no AI use at work in the data.

  • Apply filler compound and coats of finish to floors to seal wood.Core task
  • Attach sandpaper to rollers of sanding machines.Core task
  • Buff and vacuum floors to ensure their cleanliness prior to the application of finish.Core task
  • Guide sanding machines over surfaces of floors until surfaces are smooth.Core task
  • Inspect floors for smoothness.Core task
  • Remove excess glue from joints, using knives, scrapers, or wood chisels.Core task
Show the other 1
  • Scrape and sand floor edges and areas inaccessible to floor sanders, using scrapers, disk-type sanders, and sandpaper.Core task

How that compares

Among the 56 construction and extraction occupations, floor sanders and finishers rank 23. The group averages 0.4%, and its most exposed job is Structural Iron and Steel Workers at 4.9%. The average US occupation sits at 7.7%.

All 756 occupations, ranked

Level with 0.0%

  1. 346First-Line Supervisors of Production and Operating Workers 0.0%
  2. 346Fish and Game Wardens 0.0%
  3. 346Floor Layers, Except Carpet, Wood, and Hard Tiles 0.0%

What this does and does not mean

Exposure is observed use, not a forecast. Anthropic maps work conversations with Claude onto the tasks O*NET lists for each job and asks, of the tasks AI could speed up, which are actually being used for at work. A use that does the task outright counts in full and a use that assists a person counts half. The task scores are averaged into the occupation figure by the share of time spent on each task.

A high figure means AI is already part of how this work gets done. It does not mean anyone has been replaced. Anthropic's own reading of the labour market finds no systematic rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting exposed jobs.No measurable rise in unemployment among exposed workers so far, and about 14% fewer 22 to 25 year olds starting these jobs. Gap years for everyone. Labor market impacts, 5 March 2026.

Task list and titles from O*NET 31.0 by the US Department of Labor, Employment and Training Administration, used under the CC BY 4.0 licence. Scores from the Anthropic Economic Index (CC BY). Checked 1 November 2026. How the ranking works.