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Will AI replace Carpet Installers?

Lay and install carpet from rolls or blocks on floors. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 47-2041.00 · modeled exposure, not guaranteed job loss
LOW TASK EXPOSURE
12%
Estimated share of representative tasks exposed to current AI capabilities.
Task automation shareⓘ
12%Automatable
Automatable12%
Augmentable48%
Hard to automate40%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Trades & Physical
Field & Physical
Modeled pay midpoint$
$92,300/yr
Directional estimate — verify locally
Time until impact⌁
6–10+ years
Earliest 2032 · widespread 2036+
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
✦Physical dexterity in unpredictable settings30%
✦Safety responsibility and on-site judgment26%
◇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.22%
⚙Roll out, measure, mark, and cut carpeting to size with a carpet knife, following floor sketches and allowing extra carpet for final fitting.12%
▥Join edges of carpet and seam edges where necessary, by sewing or by using tape with glue and heated carpet iron.12%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2032Next2036+
Light supportAI provides limited help with 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..
AugmentationTools improve productivity without owning outcomes.
Human-ledCore work stays anchored in physical dexterity in unpredictable settings.
6–10+ yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Carpet Installers.
02>AI can help with: 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.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Physical dexterity in unpredictable settings.
05>Likely result: AI mostly acts as a helper while the core job stays human-led.
06>Important: 12% is estimated task exposure—not a 12% chance of losing the job.
What AI can do
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.LOW MATCH
Roll out, measure, mark, and cut carpeting to size with a carpet knife, following floor sketches and allowing extra carpet for final fitting.LOW MATCH
Join edges of carpet and seam edges where necessary, by sewing or by using tape with glue and heated carpet iron.LOW MATCH
How estimates work →
Your human moat
◆

Physical dexterity in unpredictable settings

HIGH MOAT

Combined with safety responsibility and on-site judgment, this keeps a human in the loop.

Strength9.3
Similar-role comparison
RoleRisk
Carpet Installers12%
Highway Maintenance Workers11%
Electrician10%
Sheet Metal Workers14%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓The core work depends on presence, dexterity, or accountability.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is physical dexterity in unpredictable settings.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
Data: O*NET 30.3 · Model framework: ILO 2025About O*NETShare report
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Highway Maintenance Workers · 11% exposureElectrician · 10% exposureSheet Metal Workers · 14% exposure