AI exposure by occupation, O*NET 49-3022.00

Will AI replace Automotive Glass Installers and Repairers?

Automotive Glass Installers and Repairers: AI does not yet handle any of the role's 18 tasks; most of the work is hands-on, and the part AI can address mostly needs an efficient-tier model.

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Every task, scored

The 18 tasks O*NET 30.3 lists for Automotive Glass Installers and Repairers, from most to least exposed. None reaches 60, the level at which AI already handles a task.

Task AI exposure Evidence Model tier Importance
Allow all glass parts installed with urethane ample time to cure, taking temperature and humidity into account. 20 Estimated Efficient 4.8
Install replacement glass in vehicles. 20 Estimated Efficient 4.6
Obtain windshields or windows for specific automobile makes and models from stock and examine them for defects prior to installation. 20 Estimated Efficient 4.5
Check for and remove moisture or contamination in damaged areas and keep areas dry until repairs are complete. 20 Estimated Efficient 4.3
Replace all moldings, clips, windshield wipers, or other parts that were removed prior to glass replacement or repair. 20 Estimated Efficient 4.3
Remove moldings, clips, windshield wipers, screws, bolts, and inside A-pillar moldings and lower headliners in preparation for installation or repair work. 20 Estimated Efficient 4.3
Install, repair, or replace safety glass and related materials, such as back glass heating elements, on vehicles or equipment. 20 Estimated Efficient 4.1
Install new foam dams on pinchwelds, if required. 20 Estimated Efficient 3.6
Install rubber channeling strips around edges of glass or frames to weatherproof windows or to prevent rattling. 20 Estimated Efficient 3.4
Prime all scratches on pinchwelds with primer and allow to dry. 15 Estimated No tier 4.9
Remove all dirt, foreign matter, and loose glass from damaged areas, apply primer along windshield or window edges, and allow primer to dry. 15 Estimated No tier 4.8
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. 15 Estimated No tier 4.8
Select appropriate tools, safety equipment, and parts, according to job requirements. 15 Estimated No tier 4.7
Remove broken or damaged glass windshields or window glass from motor vehicles, using hand tools to remove screws from frames holding glass. 15 Estimated No tier 4.3
Cool or warm glass in the event of temperature extremes. 15 Estimated No tier 3.9
Replace or adjust motorized or manual window-raising mechanisms. 15 Estimated No tier 3.8
Hold cut or uneven edges of glass against automated abrasive belts to shape or smooth edges. 15 Estimated No tier 3.6
Cut flat safety glass according to specified patterns or perform precision pattern making and glass cutting to custom fit replacement windows. 15 Estimated No tier 3.5

Observed: scored from AI use recorded in the Anthropic Economic Index (June 2026 release), 0 of 18 tasks. Estimated: scored from the task's O*NET 30.3 work activity, 18 of 18. Importance is O*NET's 1 to 5 rating of how central the task is. Model tier is the lowest tier that can do the task under the published rubric; "No tier" marks hands-on work.

The model tier this role needs

An efficient-tier model or lower covers 50% of the role's importance-weighted task work. 50% of the work is something AI can address at some tier, and 50% is hands-on.

Efficient, standard and frontier tiers come from the JobRoute model tier reference. The recommended tier is the lowest one that covers 80% of the work AI can address. How the method works.

Wages, employment and outlook

US employment
20,310
Median annual wage
$47,630
Middle half of earners
$40,110 to $59,550
Projected change, 2024 to 2034
+3.6%

Employment and wages: BLS Occupational Employment and Wage Statistics, May 2025, national. Projection: BLS Employment Projections 2024 to 2034.

Adjacent roles

The occupations that reuse the most of this role's skills, with the usual time to move. These are the first places to look when you plan to redeploy or retrain people in this role.

Skill overlap and transition time from the JobRoute role adjacency graph on O*NET 30.3 skills.

Questions about Automotive Glass Installers and Repairers and AI

Will AI replace Automotive Glass Installers and Repairers?

Not on current evidence. None of the 18 tasks O*NET lists for this occupation reaches a task exposure of 60, the level at which JobRoute counts a task as handled by AI, and the role's importance-weighted exposure is 18 out of 100. JobRoute scores tasks, not whole jobs, so the score shows how much of the work changes rather than whether the job disappears.

What is the AI exposure of Automotive Glass Installers and Repairers?

18 out of 100 on JobRoute's task exposure measure, the importance-weighted average of the role's O*NET task scores. Higher means more of the work is AI-doable today. 0 of the 18 task scores are observed in the Anthropic Economic Index (June 2026 release), and the other 18 are estimated from each task's O*NET work activity.

Which Automotive Glass Installers and Repairers tasks can AI already do?

None reaches 60 yet. The most exposed task is: Allow all glass parts installed with urethane ample time to cure, taking temperature and humidity into account, at 20 out of 100.

What AI model tier does this role need?

An efficient-tier model or lower covers 50% of the role's importance-weighted task work, and 50% is hands-on work that no model tier covers. JobRoute assigns each task the lowest tier that can do it under a published rubric and recommends the lowest tier that covers 80% of the work AI can address.

How many people work as Automotive Glass Installers and Repairers, and what do they earn?

20,310 people in the United States, with a median annual wage of $47,630 (BLS Occupational Employment and Wage Statistics, May 2025). BLS Employment Projections expect a change of +3.6% from 2024 to 2034.

How to cite

Data version 2026-11-02, JobRoute method v1.0.0. Download all occupations or this occupation as JSON. Methodology.

JobRoute (2026). AI exposure: Automotive Glass Installers and Repairers. Data version 2026-11-02, method v1.0.0. Built on O*NET 30.3, BLS OEWS May 2025 and the Anthropic Economic Index (June 2026). CC BY 4.0. https://www.jobroute.ai/jobs/automotive-glass-installers-and-repairers

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