48
/100

SOC 49-3022

Automotive Glass Installers and Repairers

ElevatedFrey/Osborne: 55.0%

Risk Score

โš ๏ธ

48/100

Elevated

US Employment

๐Ÿ‘ฅ

18,940

Total workers

Median Wage

๐Ÿ’ฐ

$47K

$35K โ€“ $67K

Projected Growth

๐Ÿ“ˆ

+3.6%

2023-2033 (BLS)

GenAI Exposure

๐Ÿค–

27/100

Low exposure

How we calculate these numbers โ†’

๐Ÿ’ก Automotive Glass Installers and Repairers face a risk score of 48/100 โ€” 4 points above the national average of 44. With only 27/100 GenAI exposure, most core tasks remain resistant to current AI capabilities. See our methodology โ†’

๐Ÿ’ก Workers in this field earn $47K ($950 above the national median). The 3 recommended career transitions all maintain competitive wages while reducing automation exposure. Explore transition paths โ†’

๐Ÿ” AI Impact Analysis

With a risk score of 48/100, Automotive Glass Installers and Repairers faces moderate automation pressure. While tasks like predictive maintenance ai reducing reactive repair needs are increasingly handled by AI, the role retains significant human elements. The 18,940 workers in this occupation should focus on strengthening skills in customer communication about technical issues and hands-on fine motor work in intricate machinery to stay ahead. The role will likely evolve rather than disappear.

Will AI Replace Automotive Glass Installers and Repairers?

Read our full analysis with verdict, risk factors, safe tasks, and career transition paths โ†’

โš ๏ธ Top Risk Factors

1

Predictive maintenance AI reducing reactive repair needs

2

Automated fault detection via IoT sensor networks

3

AI parts inventory and supply chain optimization

4

Robotic inspection of hard-to-reach equipment

๐Ÿ›ก๏ธ Tasks Safe from Automation

โœ“

Customer communication about technical issues

โœ“

Hands-on fine motor work in intricate machinery

โœ“

Adapting repairs to non-standard or legacy equipment

โœ“

Working in confined, elevated, or hazardous spaces

๐Ÿ“Š Task Automation Breakdown

Based on O*NET task analysis and GenAI exposure scoring. Shows the estimated proportion of this occupation's core tasks that are automatable by current AI, augmented by AI tools, or require essential human skills.

๐Ÿ“‹ O*NET Task Profile

โ€ข

Prime all scratches on pinchwelds with primer and allow to dry.

โ€ข

Remove all dirt, foreign matter, and loose glass from damaged areas, apply primer along windshield or window edges, and allow primer to dry.

โ€ข

Allow all glass parts installed with urethane ample time to cure, taking temperature and humidity into account.

โ€ข

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.

โ€ข

Select appropriate tools, safety equipment, and parts, according to job requirements.

๐Ÿ’ป Technology Skills

โ€ข

Accounting software

โ€ข

Project management software

โ€ข

Operating system software

โ€ข

Data base user interface and query software

โ€ข

Enterprise resource planning ERP software

๐ŸŽ“ Key Knowledge Areas

โ€ข

Customer and Personal Service

โ€ข

Mechanical

โ€ข

English Language

โ€ข

Administration and Management

โ€ข

Administrative

๐Ÿ“Š vs National Average

Median Wage$47K
+$950

National avg: $46K

Risk Score48/100
+4

National avg: 44/100

GenAI Exposure27/100
-11

National avg: 38/100

Projected Growth3.6%
-0.1%

National avg: 3.7%

๐Ÿ”„ Career Transition Paths

OccupationRiskWageOverlap
Engineers20$106K61%
Electrical Power-Line Installers and Repairers28$93K70%
Supervisors of Installation, Maintenance, and Repair Workers33$78K75%