Automotive glass installers and repairers
Replace or repair broken windshields and window glass in motor vehicles.
BLS SOC 49-3022 · O*NET-SOC 49-3022.00 · BLS 2025–2035 · O*NET 31.0
Median annual wage, 2025
$47,630
Projected change, 2025–2035
5.7%
2025–2035 annual average openings
1,300
AI exposure
Low
Editorial analysis
Replacing a windshield can now include recalibrating a safety system
Automotive glass work is becoming more technical as windshields house cameras, sensors, antennas, heating elements, displays, and other components. AI itself may help assess damage or streamline scheduling and estimates, but the larger technology effect comes from the increasingly sophisticated vehicle surrounding the glass.
The installation may not be finished when the adhesive cures
A windshield replacement can require camera calibration so lane-keeping, collision warning, and other driver-assistance functions continue operating correctly. That turns part of the occupation into precision electronics and diagnostic work.
- Photo analysis can help distinguish repairable damage from likely replacement.
- Scheduling, parts identification, and customer communication can become more automated.
- ADAS calibration adds a growing technical component to glass work.
- Removal, surface preparation, installation, sealing, and physical inspection remain hands-on.
Installers who add calibration and diagnostic skills may have an advantage as glass becomes an increasingly integrated part of vehicle safety technology.
Labor-market picture
Two measures, different questions
These measures offer two different ways to understand the occupation: BLS projections show how national employment may change over time, while relative AI exposure highlights where tasks may intersect with AI-related capabilities. Read them with the work profile and your local context to decide what deserves closer investigation.
Employment
- Employment, 2025
- 22,600 jobs
- Projected employment, 2035
- 23,900 jobs
- Projected change, 2025–2035
- 1,300 jobs (5.7%)
Relative AI exposure
BLS category: Low. This is a relative task-exposure classification, not a forecast of employment change, automation, wages, or worker replacement.
Relative AI exposure · Low
Work profile
Representative tasks
These task statements come from O*NET 31.0. They are source facts, not labels assigned by the AI exposure measure.
- Select appropriate tools, safety equipment, and parts, according to job requirements.
- Prime all scratches on pinchwelds with primer and allow to dry.
- 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.
- Apply a bead of urethane around the perimeter of each pinchweld and dress the remaining urethane on the pinchwelds so that it is of uniform level and thickness.
- Obtain windshields or windows for specific automobile makes and models from stock and examine them for defects prior to installation.
Skills that matter
Skills in the source profile
Importance uses O*NET's 1–5 scale. Level uses its 0–7 scale. Select a skill to see its source definition and reported values.
Technology and tools
These technology records come from O*NET and show software or tools reported in the occupation profile. They describe work context, not a required checklist for every employer.
- Project management software
- Operating system software
- Data base user interface and query software
- Enterprise resource planning ERP software
Preparation
- Typical entry education
- High school diploma or equivalent
- Related experience
- None
- On-the-job training
- Moderate-term on-the-job training
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Source provenance
Labor-market and exposure facts: bls-ep-2025-35. Work profile: onet-31.0. Verify release details on the Sources page.