BETA

Updated: Feb 6

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BETA

Updated: Feb 6

Stable

Last Update: 11/21/2025

Your role’s AI Resilience Score is

70.1%

Median Score

Changing Fast

Evolving

Stable

Our confidence in this score:
Medium

What does this resilience result mean?

These roles are expected to remain steady over time, with AI supporting rather than replacing the core work.

AI Resilience Report for

Glaziers

They install and repair glass in windows, doors, and buildings to ensure safety and improve how places look.

Summary

The career of a glazier is considered "Stable" because most of the work still requires human skills, like reading blueprints, measuring, and fitting glass, which machines can't fully do on their own. While tools and simple machines can help with heavy lifting and cutting, the job's hands-on nature and need for problem-solving on different sites make it hard for AI to replace glaziers entirely.

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Learn more about how you can thrive in this position

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Latest news
More career info

Summary

The career of a glazier is considered "Stable" because most of the work still requires human skills, like reading blueprints, measuring, and fitting glass, which machines can't fully do on their own. While tools and simple machines can help with heavy lifting and cutting, the job's hands-on nature and need for problem-solving on different sites make it hard for AI to replace glaziers entirely.

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Contributing Sources

AI Resilience

All scores are converted into percentiles showing where this career ranks among U.S. careers. For models that measure impact or risk, we flip the percentile (subtract it from 100) to derive resilience.

CareerVillage.org's AI Resilience Analysis

AI Task Resilience

Learn about this score
Stable iconStable

92.5%

92.5%

Microsoft's Working with AI

AI Applicability

Learn about this score
Stable iconStable

89.8%

89.8%

Will Robots Take My Job

Automation Resilience

Learn about this score
Evolving iconEvolving

59.8%

59.8%

Medium Demand

Labor Market Outlook

We use BLS employment projections to complement the AI-focused assessments from other sources.

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Growth Rate (2024-34):

3.3%

Growth Percentile:

54.7%

Annual Openings:

5.1

Annual Openings Pct:

40.1%

Analysis of Current AI Resilience

Glaziers

Updated Quarterly • Last Update: 11/22/2025

Analysis
Suggested Actions
State of Automation

State of Automation & Augmentation

Glaziers still do most of their work by hand, but some machines help on the job. For example, special vacuum lifts and mini‐robots can carry and place heavy glass panels, reducing how much a person must lift [1]. Large flat glass sheets are often cut and polished by automated machines in factories, and laser measures can help on site to check dimensions.

Even so, most glass installation and fitting is done by skilled glaziers. They read blueprints, check levels (plumb), and adjust frames – tasks that currently need a human touch. We found no widespread AI software that automatically reads construction plans for glaziers, or a fully autonomous glazier robot on job sites.

Industry reports note that many construction trades involve heavy manual work and still rely on people [2] [1]. In short, automation in glazing mainly comes through tools (like power cutters or lifting rigs) that assist workers. Glaziers’ skills (precision, problem‐solving on uneven sites, working at heights) remain important because robots and AI can’t yet do these tricky, one‐off jobs on their own.

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AI Adoption

AI Adoption

Wider adoption of AI or robots in glazing is likely to be slow. One reason is cost and complexity: glaziers earn only a moderate wage (about $26.65 per hour on average [3]), so very expensive robots are hard to pay off. Also, each building and window installation is different, so a one‐size‐fits‐all robot would be impractical.

Industry observers note that many construction tasks have only recently begun to be done in factories or with robots [2] [4], and glazier work is still mostly on site. Things like safety rules, union practices, and on‐site variability make builders cautious. In some countries (like the UK), construction robotics use has been slow, even though an aging workforce and labor shortages are making companies look at automation [4].

Overall, AI and robots are more likely to augment glaziers rather than replace them entirely. Younger workers may find the mix of tech and hands-on work interesting, and machines can help with the hardest parts (lifting, cutting) while people still do the framing, fitting, and fine work. In the near term, glaziers should learn new tech tools to stay flexible – but the craft skills of measuring, aligning, and finishing glass will stay valuable [2] [4].

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More Career Info

Career: Glaziers

Parent Careers

Employment & Wage Data

Median Wage

$55,440

Jobs (2024)

60,500

Growth (2024-34)

+3.3%

Annual Openings

5,100

Education

High school diploma or equivalent

Experience

None

Source: Bureau of Labor Statistics, Employment Projections 2024-2034

Task-Level AI Resilience Scores

AI-generated estimates of task resilience over the next 3 years

1

65% ResilienceCore Task

Fasten glass panes into wood sashes or frames with clips, points, or moldings, adding weather seals or putty around pane edges to seal joints.

2

65% ResilienceCore Task

Secure mirrors in position, using mastic cement, putty, bolts, or screws.

3

65% ResilienceCore Task

Cut, fit, install, repair, or replace glass or glass substitutes, such as plastic or aluminum, in building interiors or exteriors or in furniture or other products.

4

65% ResilienceCore Task

Cut and remove broken glass prior to installing replacement glass.

5

65% ResilienceCore Task

Set glass doors into frames and bolt metal hinges, handles, locks, or other hardware to attach doors to frames and walls.

6

65% ResilienceCore Task

Score glass with cutters' wheels, breaking off excess glass by hand or with notched tools.

7

65% ResilienceCore Task

Cut, assemble, fit, or attach metal-framed glass enclosures for showers, bathtubs, display cases, skylights, solariums, or other structures.

Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.

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