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Carpet Installers

Construction, Maintenance & Repairvery lowaugment
BLS 2024-34: -10%
Median Wage: $46,430
Employment: 24K

Overall Exposure

16

2025 vs 2023

Theoretical Exposure

31

What AI could do

Observed Exposure

5

What AI actually does

Automation Risk Score

12

Displacement risk

3-Year Outlook (2025 โ†’ 2028)

Projected changes in AI automation metrics over the next 3 years based on estimated data.

Overall Exposure

16โ†’25
+9

2025 โ†’ 2028 (estimated)

Theoretical Exposure

31โ†’43
+12

2025 โ†’ 2028 (estimated)

Observed Exposure

5โ†’11
+6

2025 โ†’ 2028 (estimated)

Automation Risk

12โ†’18
+6

2025 โ†’ 2028 (estimated)

Exposure Metrics (2023 - 2028)

Detailed Metrics Table

YearOverallTheoreticalObservedRiskData Type
20241428410actual
20251631512estimated
20261935714estimated
20272239916estimated
202825431118estimated

Task Breakdown

Measure rooms and calculate carpet requirements
52%ฮฒ 1
Cut, seam, and stretch carpet on floors
5%ฮฒ 0
Prepare subfloors and install tack strips
8%ฮฒ 0

About This Occupation

If you work as a Carpet Installer, AI has very limited impact on your physical installation work. With an automation risk of 12/100 and overall exposure at 16%, this role faces very low transformation. Room measurement and calculations see the most AI assistance at 52%. BLS projects -10% decline through 2034.

Frequently Asked Questions

With an automation risk score of 12%, Carpet Installers has a low risk of AI replacement. Most tasks in this role require skills that are difficult for AI to replicate, such as complex decision-making, physical dexterity, or deep interpersonal interaction. AI is more likely to serve as a supportive tool.

The AI automation risk score for Carpet Installers is 12% (2025 data). Overall AI exposure is 16%, with 31% theoretical exposure and 5% observed exposure. The risk trend from 2023 to 2025 is 0 points.

The tasks with the highest automation potential for Carpet Installers are: Measure rooms and calculate carpet requirements (52%), Prepare subfloors and install tack strips (8%), Cut, seam, and stretch carpet on floors (5%). These rates reflect how much of each task current AI systems can handle, based on research data from Anthropic and academic sources.

The BLS projects -10% employment change for Carpet Installers from 2024 to 2034. Combined with an overall AI exposure of 16%, this occupation is experiencing both traditional labor market shifts and AI-driven transformation. Workers should monitor both employment trends and AI capability growth.

Since AI primarily augments capabilities in this role, professionals in Carpet Installers should embrace AI as a productivity multiplier. Focus on learning to use AI tools effectively, developing higher-order analytical and creative skills, and positioning yourself as someone who can leverage AI to deliver greater value.