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# Will glaziers be replaced by AI?

Updated October 2026

Glaziers score 12 of 100 for AI exposure. 91% of their task time still needs a person. AI speeds up the other 9%.

-   **9%** AI helps
-   **91%** Needs a person

Low exposure

Lower than 93% of the 923 occupations we scored.

## Task by task

We graded 27 tasks, listed here from most to least exposed. AI can't do any of them end to end yet. It speeds up 3 and leaves 24 to people.

| Task | AI exposure |
| --- | --- |
| Read and interpret blueprints or specifications to determine size, shape, color, type, or thickness of glass, location of framing, installation procedures, or staging or scaffolding materials required. AI can extract glass specs from documents; a glazier verifies on site. | 55% AI helps |
| Confer with customers to determine project requirements or to provide cost estimates. AI can draft estimates and intake notes; live client talks stay human. | 40% AI helps |
| Select the type or color of glass or mirror according to specifications. AI can match glass types to specs; color choice needs samples. | 35% AI helps |
| Measure and mark outlines or patterns on glass to indicate cutting lines. Marking cut lines on glass is hands-on, with minor digital template help. | 15% Needs a person |
| Create patterns on glass by etching, sandblasting, or painting designs. Etching and sandblasting are physical craft; design ideas may be AI aided. | 15% Needs a person |

## How glaziers compare

All occupations (923)

Construction and extraction (61)

**Glaziers score 12**, marked by the dark line. Each dot is a score, darker where more occupations share it. The short marks show the averages, 37 for all occupations and 15 for construction and extraction.

## Pay and outlook in the US

Median pay

$57,080 a year, May 2025

People employed

58,480 in the US, May 2025

Projected change in jobs

+1.9% from 2024 to 2034

## Skills to build

-   Verify glass specs from blueprints on site before cutting
-   Price glazing jobs in AGS WindowPricer and BidMaster
-   Check glass thickness with D-CALC FACADE 4000 calculations
-   Run wall plumb checks with levels and plumb lines
-   Operate suction lifters and cranes for large glass panels
-   Log job tickets and materials in work order software

## Safer roles nearby

5 related occupations with lower scores.

-   [Auto glass installers9 out of 100](https://www.aigentcy.com/ai-exposure/auto-glass-installers/)
-   [Drywall installers9 out of 100](https://www.aigentcy.com/ai-exposure/drywall-installers/)
-   [Floor layers11 out of 100](https://www.aigentcy.com/ai-exposure/floor-layers/)
-   [Metal fabricators11 out of 100](https://www.aigentcy.com/ai-exposure/metal-fabricators/)
-   [Terrazzo workers11 out of 100](https://www.aigentcy.com/ai-exposure/terrazzo-workers/)

## Questions about glaziers and AI

Will AI replace glaziers?

Unlikely. About 1 in 10 working hours go to tasks AI can already do, mostly reading blueprints for glass specs and drafting customer estimates. Installing glass, setting frames and checking walls on site stay with glaziers because they need a person physically present.

Which glazier tasks is AI taking over?

Reading blueprints and specifications has the highest exposure score at 55, because AI can pull glass type, thickness and framing locations from drawings. Customer estimates come next at 40, since AI can draft quotes and intake notes. Selecting glass type scores 35, as AI can match glass to specs, though color choice still needs physical samples.

Which glazier tasks stay human?

Moving furniture, building window frameworks manually and operating suction lifters all score 5 or lower on exposure. Physical work makes up 91% of task weight, so most of a glazier's day stays with the crew on site. Checking wall plumb with levels is also human work at a score of 5.

How can glaziers stay valuable on jobs?

Verify every AI-drafted glass spec against the drawings on site before cutting. Price jobs in AGS WindowPricer or BidMaster, and check thickness loads with D-CALC FACADE 4000. Keep your state glazing license current where required, and sign off on scaffold and hoist setups yourself.

## Related jobs

-   [Carpenters18 out of 100](https://www.aigentcy.com/ai-exposure/carpenters/)
-   [Bricklayers15 out of 100](https://www.aigentcy.com/ai-exposure/bricklayers/)
-   [Sheet metal workers20 out of 100](https://www.aigentcy.com/ai-exposure/sheet-metal-workers/)
-   [Roofers12 out of 100](https://www.aigentcy.com/ai-exposure/roofers/)

## Next steps for glaziers

-   ### Check your job
    
    Your job title is a rough guide. Your actual tasks decide your score. Paste your job description or CV and see which of your tasks AI can do.
    
    [Check your job](https://www.aigentcy.com/tools/ai-exposure-checker/) [Check your CV](https://www.aigentcy.com/tools/cv-checker/)
    

### Check which roles in your team AI can take on

We map your team's tasks, show what AI can do today and build the automations that pay back first.

[Book an AI audit](https://www.aigentcy.com/audit/)

## Related topics

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-   [**Jobs most at risk from AI**Proofreaders score highest, at 76.](https://www.aigentcy.com/ai-exposure/jobs-most-exposed-to-ai/)
-   [**High-paying jobs with low AI exposure**Radiologists earn a median $420,860 and score 46.](https://www.aigentcy.com/ai-exposure/high-paying-jobs-low-ai-exposure/)
-   [**Entry-level jobs with low AI exposure**Cement masons need little prior training and score 8.](https://www.aigentcy.com/ai-exposure/entry-level-jobs-low-ai-exposure/)
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-   [**Jobs A to Z**Every job we publish, by first letter.](https://www.aigentcy.com/ai-exposure/jobs/)
-   [**AI exposure by industry**Average scores for 22 occupation groups.](https://www.aigentcy.com/ai-exposure/industries/)
-   [**Write a CV screening software can read**How applicant tracking systems read a CV, and what to change.](https://www.aigentcy.com/ai-exposure/cv-screening-guide/)
-   [**AI for businesses**The tasks to automate first in each team and industry.](https://www.aigentcy.com/ai-for/)
-   [**How we score AI exposure**The grading, the weights and every source.](https://www.aigentcy.com/ai-exposure/methodology/)

Occupation data from the O\*NET 30.3 Database by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA), used under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) and modified by Aigentcy. O\*NET® is a trademark of USDOL/ETA. Wage, employment and projection data from the U.S. Bureau of Labor Statistics. EU occupation names from ESCO, European Commission. AI usage signals from the Anthropic Economic Index (CC BY) and Microsoft Research (CC BY 4.0). [Methodology and sources](https://www.aigentcy.com/ai-exposure/methodology/). Scores © Aigentcy. Quote them with a link to the page.
