Will AI replace glaziers?

Not replace, but it is changing the job. About 37m of an 8-hour shift goes to tasks touched by robots. The other 7h 23m (92%) stays with people. Separately, BLS expects about 1.9% more of these jobs by 2035 (all jobs: +3.5%).

None of this job's tasks show regular AI use yet. That can mean the work is hands-on or in person, or simply that it rarely comes up in AI usage data.

For some tasks, yes. Robots have done 2 of this job's tasks in workplaces like this one, about 37m of a typical shift. 19 more tasks have only been done in factory setups built around the machine, so they stay with people here. For 3 physical tasks, no robot has shown it can do the work yet.

• Measure mirrors and dimensions of areas to be covered to determine work procedures. (24m a shift; e.g. Leica BLK ARC on Boston Dynamics Spot, in use)
• Determine plumb of walls or ceilings, using plumb lines and levels. (12m a shift; e.g. Boston Dynamics Spot (laser scanning payload), in use)

7h 23m of a typical shift, or 92%, goes to tasks with no AI or robot evidence yet. No AI usage or robot deployment has shown up for these so far. The biggest:

• 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. (1h 37m a shift)
• Drive trucks to installation sites and unload mirrors, glass equipment, or tools. (36m a shift)
• Fabricate or install metal sashes or moldings for glass installation, using aluminum or steel framing. (30m a shift)
• Install pre-assembled metal or wood frameworks for windows or doors to be fitted with glass panels, using hand tools. (24m a shift)
• Cut, assemble, fit, or attach metal-framed glass enclosures for showers, bathtubs, display cases, skylights, solariums, or other structures. (24m a shift)

Part of the answer is the setting, not just the tasks. Work that is in person, hands on or high stakes is where AI and robots have made the least headway so far. In the official O*NET survey of people in this job:

• 97% work at arm's length or closer to other people
• 97% use their hands on tools, objects or controls more than half the time
• 81% spend more than half the day on their feet

On Indeed, job postings in the Construction sector are at 129% of their February 2020 level (all U.S. postings: 104%), up 6.4% from a year earlier, as of Oct 9, 2026. BLS separately expects about 3,900 openings a year in this job through 2035. Across all U.S. postings, 7.3% now mention AI skills. Sector postings cover more than this one job and move for many reasons besides AI.

The median pay is about $57,080 a year ($27.44 an hour), 12% above the median for all U.S. jobs ($50,980). Most people in this job earn between $37,300 and $89,790 a year; that range covers the middle 80%. Pay figures are from BLS, May 2025, and vary a lot by state and employer. Pick a state to compare:

BLS projects growth of 1.9% from 2025 to 2035, compared with 3.5% growth for all jobs. That's about 60,000 jobs in 2035. It expects about 3,900 openings a year, mostly from people retiring or changing careers. These projections don't single out AI as a cause.

About 58,000 people in the U.S., roughly 0.04% of all workers (BLS, May 2025). That makes it the 359th largest of the 796 jobs on this site. BLS expects about 60,000 in 2035.

The most common requirement is a high school diploma: about 44% of people in the job said so in the official O*NET survey. O*NET rates the job at level 2 of 5 for preparation, which usually means: high school diploma, some training. Requirements vary by state and employer, especially for licensed work.

These come from the job's official skill ratings and from the tasks that AI and robots touch least today. Building them keeps you strong in the parts of the work that still need a person:

• Skills that matter more here than in most jobs: Time Management, Coordination, Reading Comprehension, Speaking
• Get strong at the parts of the job that stay with people (listed above), which take 7h 23m of a typical shift
• Tools employers list: Microsoft Excel, Microsoft Office software, Microsoft Windows

These use similar skills, with less of a typical shift touched by AI or robots. Matches come from 109 official ratings of skills, knowledge and work activities, and each needs the same or less preparation unless the official list relates the jobs directly:

• Helpers for Pipelayers, Plumbers, Pipefitters, and Steamfitters (0m touched, $42k median pay)
• Reinforcing Iron and Rebar Workers (0m touched, $59k median pay)
• Floor Sanders and Finishers (0m touched, $50k median pay)
• Insulation Workers, Floor, Ceiling, and Wall (0m touched, $49k median pay)
• Pile Driver Operators (0m touched, $73k median pay)

Each task carries its own evidence label. For this job: 2 with robots in real deployments, 25 with no AI or robot evidence found. The minutes per task are estimates, not measured hours, and "no evidence" doesn't prove a task is safe.