How exposed to AI is the job of Floor Layers, Except Carpet, Wood, and Hard Tiles?

1.5% of the weighted task load of Floor Layers, Except Carpet, Wood, and Hard Tiles is exposed, meaning work current AI systems can produce with little structural friction. A further 2.0% is assisted work and 96.5% is untouched. That places it 2th out of 923 occupations, rank 907, in release v2026.Q3 of the Task Exposure Index.

Will AI replace Floor Layers, Except Carpet, Wood, and Hard Tiles?

The index does not measure displacement. It measures what current AI systems can produce and what stands in the way. Whether exposed work becomes a lost job depends on firm economics, regulation and organisational inertia, none of which this index models.

Which tasks of a Floor Layers, Except Carpet, Wood, and Hard Tiles are most exposed to AI?

Of 14 tasks O*NET records for this occupation, 0 are exposed, 0 assisted and 14 untouched. The full task-by-task breakdown is published on this page.

Occupation · SOC 47-2042.00 · Job Zone 2

AI exposure: Floor Layers, Except Carpet, Wood, and Hard Tiles

Apply blocks, strips, or sheets of shock-absorbing, sound-deadening, or decorative coverings to floors.

Reading this score

computed

Floor Layers, Except Carpet, Wood, and Hard Tiles is among the least exposed occupations measured, at 1.5% of weighted task load, rank 907 of 923. 96.5% of this job is work current AI systems cannot produce at all. That is not a statement about skill or value. It is a statement about what these systems can and cannot do.

What holds the line here is embodiment. Across this occupation's 14 tasks it averages 3.00 out of 3, the highest of the five friction dimensions. In plain terms, the work has to happen in physical space. A language model cannot move matter. Until the robotics to do this work is both good enough and cheap enough to deploy widely, capability in software does not reach it.

The most exposed thing this job does is Determine traffic areas and decide location of seams, at 11.7%. The least is Disconnect and remove appliances, light fixtures, and worn floor and wall covering from floors,..., at 0.0%. A gap of 11.7% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.

Within construction and extraction occupations, this one is less exposed than the median of 5.1% across the group's 61 roles, with 50 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.

What would move this score. Of 14 tasks, 0 are currently banded exposed, 0 assisted and 14 untouched. For that distribution to shift materially would take robotics cheap and reliable enough to deploy at scale, not a better language model. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.

Where the score comes from

judged

Every task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.

Dimension	Mean	Scale
Capability	0.14	0-4
Embodiment	3.00	0-3
Presence	0.21	0-3
Accountability	0.21	0-3
Context	0.89	0-3
Verification cost	0.86	0-3

Task by task

14 tasks, O*NET 31.0

Task	Exposed	Assisted	Untouched	Importance	Band
Determine traffic areas and decide location of seams.	11.7%	13.3%	75.0%	4.39	untouched
Inspect surface to be covered to ensure that it is firm and dry.	10.0%	15.0%	75.0%	4.51	untouched
Cut covering and foundation materials, according to blueprints and sketches.	0.0%	0.0%	100.0%	4.76	untouched
Trim excess covering materials, tack edges, and join sections of covering material to form tight joint.	0.0%	0.0%	100.0%	4.71	untouched
Cut flooring material to fit around obstructions.	0.0%	0.0%	100.0%	4.71	untouched
Roll and press sheet wall and floor covering into cement base to smooth and finish surface, using hand roller.	0.0%	0.0%	100.0%	4.64	untouched
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.	0.0%	0.0%	100.0%	4.62	untouched
Sweep, scrape, sand, or chip dirt and irregularities to clean base surfaces, correcting imperfections that may show through the covering.	0.0%	0.0%	100.0%	4.59	untouched
Measure and mark guidelines on surfaces or foundations, using chalk lines and dividers.	0.0%	0.0%	100.0%	4.53	untouched
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.	0.0%	0.0%	100.0%	4.48	untouched
Apply adhesive cement to floor or wall material to join and adhere foundation material.	0.0%	0.0%	100.0%	4.40	untouched
Remove excess cement to clean finished surface.	0.0%	0.0%	100.0%	4.35	untouched
Heat and soften floor covering materials to patch cracks or fit floor coverings around irregular surfaces, using blowtorch.	0.0%	0.0%	100.0%	4.06	untouched
Disconnect and remove appliances, light fixtures, and worn floor and wall covering from floors, walls, and cabinets.	0.0%	0.0%	100.0%	3.97	untouched

Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.

Occupations either side of this one

The four closest scores in the same occupational family, then the four closest anywhere in the index.

Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.

What this means in practice

Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.