Mostly Resilient
Last Update: 6/19/2026
AI Resilience Score for Glaziers:
63.1%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
High
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Med
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
High
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forGlaziers
$55,440 median salary•5,100 annual openings•SOC Code: 47-2121.00
Glaziers are somewhat more resilient to AI impacts than most occupations, according to our analysis of 5 sources.
Glaziers earn a "Mostly Resilient" label because the hands-on, physical work of measuring, fitting, and installing glass on real job sites is genuinely hard for AI or robots to take over, especially when every project involves unique conditions like different building layouts, weather, and safety challenges. The AI activity happening in this field is mostly in factories and back-office tasks (like automated cutting machines and quoting software), which speeds things up without replacing the skilled worker on the scaffold.
Learn more about how you can thrive in this position
Learn more about how you can thrive in this position
This role is mostly resilient
Glaziers earn a "Mostly Resilient" label because the hands-on, physical work of measuring, fitting, and installing glass on real job sites is genuinely hard for AI or robots to take over, especially when every project involves unique conditions like different building layouts, weather, and safety challenges. The AI activity happening in this field is mostly in factories and back-office tasks (like automated cutting machines and quoting software), which speeds things up without replacing the skilled worker on the scaffold.
Read full analysisAnalysis of Current AI Resilience
Glaziers
Updated Quarterly

How is AI changing Glaziers jobs?
If you're thinking about becoming a glazier, here's the encouraging news: most of the AI activity in your trade is happening in the factory, not on the job site. According to a USGlass Magazine roundtable of equipment experts [1], fabricators are increasingly prioritizing automation upgrades in areas where they have labor and skills gaps, with smart-controlled tempering furnaces, automated insulating glass lines, and CNC machines handling cutting and edging. On the installation side, AI mostly augments glaziers rather than replacing them.
Trade-fair coverage from Glazing Today [2] notes that while major flat glass producers have embraced AI for production, adoption within glass processing and the glazier trade has been more nascent, though it is beginning to trickle down to smaller outfits. Practical helpers include AI-based office tools like Microsoft Copilot, Google Workspace AI, or ChatGPT that assist with proposals, calculations, and appointment organization, plus imaging tools like Midjourney for visualizing workpieces and construction plans. A glasstec industry analysis [3] highlights AI startups like Lumeso that automate order entry — speeding up quoting, not swinging hammers.
Deloitte's 2026 Engineering & Construction Outlook [4] adds that AI-driven design tools and augmented reality field instructions are facilitating "learn-as-you-install" workflows, which can actually make training easier for newer glaziers.
Sources

How fast is AI adoption growing for Glaziers?
Adoption will likely be uneven and gradual for hands-on glazier work. The biggest accelerator is the labor crunch: Fortune reports [5] that the Associated Builders and Contractors said the industry will need 456,000 new workers in 2027, up 30.7% from the 349,000 needed this year, pushing companies toward any tech that boosts efficiency. But slowdowns are real, too: tariff uncertainty on imported European machinery has stalled some equipment orders, and physical tasks like driving trucks, moving furniture, and climbing scaffolds resist automation.
The U.S. Bureau of Labor Statistics [6] projects glazier employment to grow 3 percent from 2024 to 2034, with about 5,100 openings each year — steady demand for skilled human hands. Your measurement, blueprint reading, and craftsmanship skills remain very valuable; AI is most likely to be your assistant, not your replacement.
Sources

Will AI replace Glaziers?
No. We don't think AI will replace Glaziers, though we do expect the job to change.
Glaziers earn a 63.1% AI Resilience Score from us, and the data makes sense when you look at where AI is actually showing up in this trade. Most of the automation action is happening in factories, not on job sites. Smart tempering furnaces, automated glass cutting lines, and CNC machines are changing how glass gets made [1], but someone still has to show up, measure carefully, and install it correctly. On the business side, tools like AI-powered quoting software are speeding up order entry [3], and augmented reality instructions are helping newer glaziers learn faster on the job [4].
What stays firmly human is the physical craft itself. Driving to the site, reading blueprints, handling large glass panels, climbing scaffolds, and fitting pieces precisely in real-world conditions are all tasks that resist automation in any near-term future. The Bureau of Labor Statistics projects about 5,100 glazier job openings every year through 2034 [6], which points to steady, ongoing demand for skilled workers.
If you are considering this career, think of AI as a tool that handles paperwork and planning so you can focus on the hands-on work that actually requires your judgment and skill.
Sources

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Latest AI news for Glaziers
As AI technology evolves, glaziers should be aware of its potential impacts on the industry. Articles highlighting warehouse workers being replaced by AI show that automation is a growing trend, emphasizing the need for glaziers to adapt by enhancing skills that AI cannot easily replicate, such as craftsmanship and personalized service. Additionally, discussions around AI's effect on jobs in construction indicate that while some tasks may be automated, the demand for skilled glaziers who can integrate technology with traditional methods will likely remain strong, reinforcing the importance of resilience and innovation in this career path.

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More Career Info
Career: Glaziers
They install and repair glass in windows, doors, and buildings to ensure safety and improve how places look.
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
Operate cranes or hoists with suction cups to lift large, heavy pieces of glass.
2
Drive trucks to installation sites and unload mirrors, glass equipment, or tools.
3
Move furniture to clear work sites and cover floors or furnishings with drop cloths.
4
Cut and remove broken glass prior to installing replacement glass.
5
Load and arrange glass or mirrors onto delivery trucks, using suction cups or cranes to lift glass.
6
Measure, cut, fit, and press anti-glare adhesive film to glass or spray glass with tinting solution to prevent light glare.
7
Fabricate or install metal sashes or moldings for glass installation, using aluminum or steel framing.
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.
