Will AI replace Automotive Glass Installers and Repairers?

AI reaches little of this job’s work.

0/100

Low exposure

More exposed to AI than 2% of US workers.

AI already used in: 0% of the work
As AI tools mature: up to: 0% of the work

What the job involves

Replace or repair broken windshields and window glass in motor vehicles.

Where AI reaches the work

The job’s main tasks, heaviest first, by how far AI reaches them.

Out of reach(18)

Select appropriate tools, safety equipment, and parts, according to job requirements.
Remove all dirt, foreign matter, and loose glass from damaged areas, apply primer along windshield or window edges, and allow primer to dry.
Check for and remove moisture or contamination in damaged areas and keep areas dry until repairs are complete.
Install replacement glass in vehicles.
Prime all scratches on pinchwelds with primer and allow to dry.

and 13 more

Also called

Glass Installer · Windshield Installer · Window Installer · Auto Glass Tech (Automotive Glass Technician) · Auto Glazier (Automotive Glazier) · Windshield Repair Technician (Windshield Repair Tech) · Auto Glass Mechanic (Automotive Glass Mechanic) · Auto Glass Mechanic

What these numbers mean

The score is the share of this job’s work, weighted by how important and frequent each task is, that AI could do in half the time: tasks an AI model could do alone count in full, tasks that need software built on AI count half.

“AI already used” is the share of the work in tasks where people are recorded using AI today. “As AI tools mature” counts every task AI could halve, with or without extra software.

The percentile compares the score with every job’s, weighted by how many people in the US do each one. Exposure means AI could change how the work is done, not that the job goes away. These are estimates for the typical job, not predictions.

Sources

O*NET 31.0 Database, U.S. Department of Labor, Employment and Training Administration
GPTs are GPTs: Labor market impact potential of LLMs (task labels), Eloundou, Manning, Mishkin & Rock (2023), OpenAI and University of Pennsylvania
Anthropic Economic Index: labor market impacts (task penetration), Anthropic
Occupational Employment and Wage Statistics, May 2025 (national and metropolitan areas), U.S. Bureau of Labor Statistics