Carpet Installers vs Upholsterers
Side-by-side · O*NET · BLS · AI-exposure research · Anthropic Economic Index
A factual, source-backed comparison of Carpet Installers and Upholsterers on the dimensions both occupations carry. Every figure is a position within an independent published dataset — not a verdict on which job is better, safer, or more “future-proof.”
At a glance
| Dimension | Carpet Installers | Upholsterers |
|---|---|---|
| Median pay | $49,850 | $46,190 |
| Employment | 14,980 | 20,990 |
| Employment outlook (2024–34) · BLS projection | Declining (-9.6%) | Declining (-1.8%) |
| Annual openings · BLS projection | 1,100 | 2,200 |
| Typical education · O*NET | Usually requires a high school diploma or GED, though some occupations may not. | Usually requires a high school diploma or GED, though some occupations may not. |
| AI exposure · published exposure studies | Low · 16th pct | Low · 23rd pct |
| Global GenAI gradient · ILO ISCO-08 · via crosswalk | 3rd pct · 10% of tasks | 26th pct · 18% of tasks |
| Observed AI use · Anthropic Economic Index | — | — |
| Mostly remote-capable · Dingel–Neiman | No | No |
Pay and employment are BLS OEWS estimates; outlook and openings are BLS 2024–2034 projections; AI exposure and observed-use figures come from separate research and reflect exposure and usage, not predictions that either job will disappear. Compare like with like.
Skills
Shared: Problem Sensitivity, Trunk Strength, Extent Flexibility, Static Strength, Near Vision, Visualization, Arm-Hand Steadiness, Manual Dexterity, Monitoring, Oral Expression, Finger Dexterity, Multilimb Coordination, Production and Processing, Critical Thinking, Time Management, Oral Comprehension, Deductive Reasoning, Information Ordering, Selective Attention, Depth Perception, Active Listening, Speaking, Social Perceptiveness, Judgment and Decision Making, Inductive Reasoning.
Specific to Carpet Installers
- Customer and Personal Service
- Mathematics
- Administration and Management
- English Language
- Building and Construction
- Speech Recognition
- Coordination
- Stamina
Specific to Upholsterers
- Control Precision
- Visual Color Discrimination
- Written Comprehension
- Reading Comprehension
- Design
- Active Learning
- Complex Problem Solving
- Originality
Knowledge, skills & abilities O*NET rates as important for each occupation. “Shared” are common to both; the columns list what is distinctive to each (top by the order O*NET surfaces).
Tools & technology
Shared: Computer aided design CAD software , Spreadsheet software , Office suite software , Word processing software .
Specific to Carpet Installers
Specific to Upholsterers
Full profiles
This page is a summary. See the complete source-backed profile for Carpet Installers or Upholsterers — tasks, the full skill graph, tools, work context, preparation, wages by percentile, industries, AI exposure and the AI work map.
More comparisons
Related occupations you can place side by side on the same sourced scale.
- Carpet Installers vs Floor Layers, Except Carpet, Wood, and Hard Tiles
- Carpet Installers vs Tile and Stone Setters
- Carpet Installers vs Floor Sanders and Finishers
- Carpet Installers vs Insulation Workers, Floor, Ceiling, and Wall
- Carpet Installers vs Drywall and Ceiling Tile Installers
- Carpet Installers vs Furniture Finishers
- Carpet Installers vs Paperhangers
- Carpet Installers vs Terrazzo Workers and Finishers
Sources for this page
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
- O*NET 30.3 U.S. Department of Labor / National Center for O*NET Development
- BLS Occupational Employment and Wage Statistics (OEWS) May 2024 U.S. Bureau of Labor Statistics
- BLS Employment Projections 2024–2034 U.S. Bureau of Labor Statistics
- Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27) Anthropic
- Microsoft “Working with AI” working-with-ai Microsoft Research
- “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130 OpenAI / academic
- AI Occupational Exposure (AIOE) Felten, Raj & Seamans academic
- ILO / Gmyrek et al. GenAI exposure gradient 2025 International Labour Organization
- IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022 Institute for Structural Research (IBS)
- Frey & Osborne (2013) frey-osborne-automation academic
- Dingel & Neiman (2020) dingel-neiman-workathome academic
Data compiled June 2, 2026. Figures are estimates, not advice.
Cite this page
Singulariki. "Carpet Installers vs Upholsterers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/compare/carpet-installers-vs-upholsterers
Singulariki. (2026). Carpet Installers vs Upholsterers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/compare/carpet-installers-vs-upholsterers
@misc{singulariki-carpet-installers-vs-upholsterers,
title = {Carpet Installers vs Upholsterers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Frey & Osborne (2013) frey-osborne-automation; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/compare/carpet-installers-vs-upholsterers}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.