Automotive Glass Installers and Repairers
In short: today's best AI models could do about 0% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about the same by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 100% of the time, stays with people.
Replace or repair broken windshields and window glass in motor vehicles.
20,310 people do this job in the US. $47,630 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on0 h
- A person checks AI's work0 h
- Desk work AI can't do yet0 h
- Stays with people40 h
Automotive Glass Installers and Repairers, now: of a 40-hour week, AI could take on 0 hours, 0 hours become checking its work, 0 hours are desk work it can't do yet, and 40 hours stay with people.
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 0%
- 0%
- 100%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 0%. Today's estimate: 0%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
None of this job's 18 tasks showed up in the Claude.ai conversations Anthropic sampled in any of its 7 releases, from February 2025 to May 2026.
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 96% of this job's working time as physical work. For 63% of the working time, a robot has been shown doing most of the task somewhere: 63% in a purpose-built cell. 0.63 of 3, the 275th highest of the 923 jobs.
- Not physical 4%
- No robot shown 33%
- In a purpose-built cell 63%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
The tasks
Sorted by . 18 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Install, repair, or replace safety glass and related materials, such as back glass heating elements, on vehicles or equipment.Done several times a day by most who do it. Robots: no robot shown. Anthropic's rating. | 23% | 1.3 h25 min to 2.5 h | Stays with people | |
| Install replacement glass in vehicles.Done daily by most who do it. Robots: in a purpose-built cell, Bluewrist EzRG windshield insertion system (Gocator 2300 3D sensors, six-axis robot) (deployed). Anthropic's rating. | 21% | 1.3 h38 min to 2.5 h | Stays with people | |
| Remove broken or damaged glass windshields or window glass from motor vehicles, using hand tools to remove screws from frames holding glass.Done several times a day by most who do it. Robots: no robot shown. Anthropic's rating. | 9% | 38 min17 min to 1.3 h | Stays with people | |
| 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.Done several times a day by most who do it. Robots: in a purpose-built cell, Esys Automation robotic glass urethane system (deployed). Anthropic's rating. | 6% | 21 min13 min to 38 min | Stays with people | |
| Replace or adjust motorized or manual window-raising mechanisms.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 6% | 50 min25 min to 1.7 h | Stays with people | |
| Replace all moldings, clips, windshield wipers, or other parts that were removed prior to glass replacement or repair.Done daily by most who do it. Robots: in a purpose-built cell, ABB Dynamic Assembly Pack for Final Trim and Assembly (sold). Anthropic's rating. | 5% | 25 min13 min to 50 min | Stays with people | |
| Remove all dirt, foreign matter, and loose glass from damaged areas, apply primer along windshield or window edges, and allow primer to dry.Done daily by most who do it. Robots: in a purpose-built cell, Arnold Machine automated windshield glass assembly cell (Carlex) (deployed). Anthropic's rating. | 5% | 17 min8 min to 33 min | Stays with people | |
| Install rubber channeling strips around edges of glass or frames to weatherproof windows or to prevent rattling.Done several times a day by most who do it. Robots: in a purpose-built cell, Arnold Machine windshield glass assembly cell (Carlex) (deployed). Anthropic's rating. | 5% | 25 min13 min to 42 min | Stays with people | |
| Remove moldings, clips, windshield wipers, screws, bolts, and inside A-pillar moldings and lower headliners in preparation for installation or repair work.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 4% | 25 min13 min to 1.3 h | Stays with people | |
| Select appropriate tools, safety equipment, and parts, according to job requirements.Done hourly or more by most who do it. Robots: in a purpose-built cell, Arnold Machine automotive windshield glass assembly cell (deployed). Anthropic's rating. | 3% | 8 min4 min to 17 min | Stays with people | |
| Obtain windshields or windows for specific automobile makes and models from stock and examine them for defects prior to installation.Done daily by most who do it. Robots: in a purpose-built cell, Bluewrist EzRG robot guidance with LMI Gocator 3D sensors on a six-axis windshield-handling robot (Wuhan TopEagle line) (deployed). Anthropic's rating. | 3% | 13 min7 min to 21 min | Stays with people | |
| Prime all scratches on pinchwelds with primer and allow to dry.Done daily by most who do it. Robots: in a purpose-built cell, Flexiv Rizon 4 adaptive-robot adhesive primer application cell (deployed). Anthropic's rating. | 3% | 8 min4 min to 17 min | Stays with people |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Glaziers3% now, 3% by 2028
- Automotive Body and Related Repairers5% now, 5% by 2028
- Automotive Service Technicians and Mechanics3% now, 3% by 2028
- Coating, Painting, and Spraying Machine Setters, Operators, and Tenders1% now, 1% by 2028
- Molders, Shapers, and Casters, Except Metal and Plastic0% now, 0% by 2028
- Cleaners of Vehicles and Equipment1% now, 1% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Automotive Glass Installers and Repairers is within reach of AI now?
- An estimated 0% of the working time is within reach of AI models now and 0% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Automotive Glass Installers and Repairers come within reach first?
- No task has a meaningful share of its time within reach now or by the end of 2028, on the long-run pace at four in five: the work is mostly people work and body work, which the site does not count.
- Which tasks of Automotive Glass Installers and Repairers stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Install, repair, or replace safety glass and related materials, such as back glass heating elements, on vehicles or equipment; Install replacement glass in vehicles; and Remove broken or damaged glass windshields or window glass from motor vehicles, using hand tools to remove screws from frames holding glass. Together such tasks are about 100% of the working time.
- Do people already use AI for the work of Automotive Glass Installers and Repairers?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Automotive Glass Installers and Repairers?
- Anthropic's robot exposure rating (September 2026) finds 96% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 63% of the working time. Its index is 0.63 of 3. One example: Bluewrist EzRG windshield insertion system (Gocator 2300 3D sensors, six-axis robot) for "install replacement glass in vehicles". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 18 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
This job in your state or metro area
Embed these figures on your site
A small card with the share of working time within reach now and at the end of 2027, 2028 and 2030, the date and a link back. Free under CC BY 4.0; the card carries the credit.
Your own version of this job
The page above is the occupation. Your job is your title and what you actually do: give both, and they are read against these tasks in your browser, nothing sent anywhere. The headline is free: how much of your working time is within reach now and by the end of 2028, and how many of the tasks your description names.
This occupation has not been reviewed task by task yet, so the full personal report is not offered for it; 402 of 923 occupations are reviewed so far, largest first.