Share and intensity of work current AI systems can materially affect.
SOC 49-3022
Automotive Glass Installers AI displacement risk
Automotive glass installers remove and replace windshields and windows, bonding glass with urethane that must cure correctly to keep the roof structure sound. The trade's complication is ADAS: cameras mounted to windshields require recalibration after replacement, adding a diagnostic layer to a physical job.
Likely potential for exposed tasks to move to software after workflow integration.
ADAS recalibration raised the skill floor rather than automating the work: installers now pair urethane craftsmanship with calibration equipment. Mobile service keeps the work wherever the vehicle sits.
Distribution
Where Automotive Glass Installers sits across 620 tracked roles
Displacement pressure 16 — higher than 14% of the 620 occupations tracked on displacement.ai.
Score version
This page uses Seed model v0.4 (seed-v0.4-2026-05), last reviewed 2026-08-15. Directional occupation-level planning model using hand-reviewed public research, task exposure estimates, wage context, and transition-pathway assumptions.
18 O*NET task statements matched to SOC 49-3022. The displayed task profile combines these official task statements with the current public score model.
Median wage context: $47,630 (May 2025, US national). The latest BLS row matched SOC 49-3022.
Scores are planning signals, not forecasts. Local hiring demand, employer-specific workflows, licensing, and credentials must be validated before making career decisions.
2030 economic stress test
How Anthropic's scenarios classify Automotive Glass Installers
SOC 49-3022 places this role in the paper's all-other occupation group. These group-level outcomes do not change the 16/100 role score and are not an occupation forecast.
+1.1% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +1.6% GDP and 3.9% unemployment.
+5.9% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +8.3% GDP and 4.6% unemployment.
+33.6% group wage
Employment rises and unemployment falls for the all-other group, but the paper does not publish a separate group rate.
Economy-wide: +32.4% GDP and 11.9% unemployment.
Compare the assumptions and limitations across all three scenarios. Source: The Anthropic Institute Working Paper No. 2026-02.
Official task evidence
O*NET task matches for Automotive Glass Installers
The current evidence import matched 18 task statements from Task Statements 31.0 (August 2026). These rows are used as a grounding layer for judging which parts of the occupation are repeatable, language-heavy, analytical, social, physical, or compliance-sensitive.
Dataset31.0 (August 2026)
Matched tasks18
SOC49-3022
- Core task / ID 8325
Select appropriate tools, safety equipment, and parts, according to job requirements.
- Core task / ID 20645
Prime all scratches on pinchwelds with primer and allow to dry.
- Core task / ID 8318
Remove all dirt, foreign matter, and loose glass from damaged areas, apply primer along windshield or window edges, and allow primer to dry.
- Core task / ID 8323
Check for and remove moisture or contamination in damaged areas and keep areas dry until repairs are complete.
- Core task / ID 8324
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.
- Core task / ID 8322
Obtain windshields or windows for specific automobile makes and models from stock and examine them for defects prior to installation.
Source: O*NET Resource Center, Task Statements. Raw import target: data/raw/onet/task-statements-31-0.txt.
Task profile
Where AI changes the work
Install replacement glass in vehicles
Exposure 18, automation 7%, augmentation 36%.
O*NET evidence: Install replacement glass in vehicles. (ID 20646)
Apply urethane around pinchwelds to specification
Exposure 16, automation 6%, augmentation 34%.
O*NET evidence: Apply a bead of urethane around the perimeter of each pinchweld and dress the remaining... (ID 8324)
Examine glass for defects prior to installation
Exposure 28, automation 12%, augmentation 44%.
O*NET evidence: Obtain windshields or windows for specific automobile makes and models from stock and e... (ID 8322)
Clean and prime damaged areas and edges
Exposure 16, automation 6%, augmentation 30%.
O*NET evidence: Remove all dirt, foreign matter, and loose glass from damaged areas, apply primer along... (ID 8318)
TaskExposureAutomationAugmentation
Install replacement glass in vehicles187%36%
Apply urethane around pinchwelds to specification166%34%
Examine glass for defects prior to installation2812%44%
Clean and prime damaged areas and edges166%30%
Transition pathways
Adjacent moves that preserve existing skills
role redesign
LowAuto Glass Shop Manager
Training horizon: 6-12 months. Skill overlap 64. Wage preservation signal 118.
- Own scheduling and dispatch
- Manage insurance billing
- Train installers on ADAS
credentialed transition
LowAutomotive Service Technician
Training horizon: 12-24 months. Skill overlap 56. Wage preservation signal 116.
- Broaden into general repair
- Earn ASE certifications
- Join a service department
Comparison guides
Compare the next move before you commit
6-12 months
Automotive Glass Installers to Auto Glass Shop Manager
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Automotive Glass Installers into Auto Glass Shop Manager.
12-24 months
Automotive Glass Installers to Automotive Service Technician
Compare AI displacement pressure, wage preservation, skill overlap, training time, and first proof project for moving from Automotive Glass Installers into Automotive Service Technician.
What the AI risk score means for Automotive Glass Installers
The displacement pressure score for Automotive Glass Installers is 16. That score blends task exposure, automation pressure, augmentation potential, wage vulnerability, transition feasibility, and source confidence. It is designed to help workers and workforce teams decide where to act first, not to claim a specific date when a job will disappear.
For this role, the clearest risk pattern is visible at the task level. Examine glass for defects prior to installation carries 12% automation pressure, while Examine glass for defects prior to installation carries 44% augmentation potential. That means the best response is usually a targeted redesign of work: move away from repeatable production tasks and toward judgment, exception handling, coordination, stakeholder context, and accountable use of AI tools.
Labor-market context and wage risk
Median wage: $47,630 (May 2025, US national). Employment context: Vehicle glass role complicated by ADAS cameras. Typical education: High school plus on-the-job training.
Wage vulnerability is 44, while transition feasibility is 58. A high wage-vulnerability score means workers should pay close attention to salary preservation before making a move. A high transition-feasibility score means there are adjacent paths that can reuse existing skills without requiring a complete career reset.
- Low displacement pressure
- ADAS recalibration adds skilled steps
- Bonding quality is structural safety
Upskilling priorities
Skills that make this role more resilient
The safest upskilling plan starts with skills already close to the work. For Automotive Glass Installers, the strongest near-term skill priorities are listed below. These are useful whether the goal is to stay in the role, move to a redesigned version of the role, or transition into an adjacent occupation.
Glass bonding technique
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
ADAS calibration
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Precision measurement
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
Mobile service
Build proof of this skill through a work sample, checklist, dashboard, case note, workflow map, or portfolio artifact tied to the transition paths on this page.
90-day transition plan
The most practical next step is not to wait for a layoff or a full role redesign. Use the next 90 days to create evidence that you can operate in a safer, more AI-augmented version of the work.
- In the first 30 days, document the repetitive tasks in your current work and identify where AI can reduce drafting, lookup, classification, or reporting time.
- By 60 days, complete one small project connected to Auto Glass Shop Manager, such as own scheduling and dispatch.
- By 90 days, compare internal openings and external postings for Auto Glass Shop Manager or Automotive Service Technician and update your resume around measurable workflow outcomes.
FAQ
Questions about AI and Automotive Glass Installers
Will AI replace Automotive Glass Installers?
Automotive glass installers remove and replace windshields and windows, bonding glass with urethane that must cure correctly to keep the roof structure sound. The trade's complication is ADAS: cameras mounted to windshields require recalibration after replacement, adding a diagnostic layer to a physical job. The better planning signal is not full replacement, but which tasks become automated, which tasks become AI-assisted, and which responsibilities still need human judgment.
Which parts of Automotive Glass Installers work are most exposed to AI?
Examine glass for defects prior to installation and Install replacement glass in vehicles show the strongest automation pressure in this model. Examine glass for defects prior to installation and Install replacement glass in vehicles are better treated as AI-augmented work.
What should Automotive Glass Installers learn next?
Start with Glass bonding technique, ADAS calibration, Precision measurement. The most practical adjacent paths in this model are Auto Glass Shop Manager and Automotive Service Technician.
How should this score be used?
Use it as a planning signal, not a prediction. Confirm local hiring demand, wages, licensing, credentials, and employer adoption before making a career move.
Sources
Evidence trail
OECD / 11 July 2023OECD Employment Outlook 2023: Artificial Intelligence and the Labour MarketO*NET Resource Center / Database 31.0 (August 2026)Occupation, Task, Skill, and Work-Activity DataUS Bureau of Labor Statistics / May 2025 estimates (released 15 May 2026)Occupational Employment and Wage Statistics