US dataswitch to UK
Glaziers
reading and interpreting blueprints or specifications to determine size, measuring mirrors and dimensions of areas to be covered to determine work procedures and packing spaces between moldings and glass with glazing compounds and trimming excess material with glazing knives. If that's your week, this page is about your job.
The honest answer
AI changes the edges of this job, not the middle: installing pre-assembled metal or wood frameworks for windows or doors to be fitted with glass panels is work software can't reach.
What shifts is reading and interpreting blueprints or specifications to determine size: the paper around the work, not the work.
Your week, as this page understands it
Install glass in windows, skylights, store fronts, and display cases, or on surfaces, such as building fronts, interior walls, ceilings, and tabletops. The job title says “glaziers”. The real job is the part underneath: installing pre-assembled metal or wood frameworks for windows or doors to be fitted with glass panels. That is the thing someone has to be right about.
The exposed part of this job is specific, and we won’t pretend it is coming back. But glaziers is not one task. It is 27 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is installing pre-assembled metal or wood frameworks for windows or doors to be fitted with glass panels, and the ledger below shows exactly why.
Where the work sits, by task weight
- shifting to AI
- 0%
- changing shape
- 5%
- staying human
- 95%
These bars are tasks changing hands, not people being counted out. The ledger below shows which.
Whole-job exposure score 4 out of 100 (3–9 allowing for uncertainty): minimal exposure, across 27 scored tasks. The number is the support for the sentence above it, not a headline about anyone’s future.
How we know this
What is measured: Every published task statement for glaziers is rated on five dimensions: can a model produce the output, does the work need a body in a room, does it need a legally accountable person, does it depend on a person being trusted in the moment, and how much data exists. A published formula turns those five ratings into the score; the model never writes the number.
How the bar is built: Each task’s share of the bar is its published importance weight, so a task you do all day counts for more than one you do twice a year.
Release: 2026-q4.1, scores computed 2026-08-05. Read the full method.
Your job, task by task
These are the official task statements for this occupation, in plain English, sorted by what the evidence says is happening to each one. The official wording sits under every line so you can check the rewrite against it.
- 3 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
- Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.
Shifting to AI
0 tasksTasks today’s tools can already do most of. This is the part we will not soften: where these rows are the bulk of your week, the week changes.
Nothing in this job’s scored task list landed in this group. That is the measurement, not an editorial choice, and it is worth knowing either way.
Changing shape
1 taskTasks where the machine takes the producing and a person keeps the checking, the deciding, or the answering-for-it. For most jobs this is the biggest group, and it is where "transformation, not termination" is literally visible.
Reading and interpreting blueprints or specifications to determine size
The software now makes the first pass at blueprints, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · CoreSource: “Read and interpret blueprints or specifications to determine size, shape, color, type, or thickness of glass, location of framing, installation procedures, or staging or scaffolding materials required.” (O*NET task statement)
How this row was scored
Exposure score: 43 out of 100 (36–50 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: AI can pull sizes and types from drawings, but reading a real job set reliably still needs the glazier.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Staying human
26 tasksTasks that stay with a person, because they happen in the physical world, because the rules need someone accountable, or because the value is that a specific person does them.
Installing pre-assembled metal or wood frameworks for windows or doors to be fitted with glass panels
This work happens in the physical world: pre-assembled metal, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Install pre-assembled metal or wood frameworks for windows or doors to be fitted with glass panels, using hand tools.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Fitting frameworks with hand tools is physical installation.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Fabricating or installing metal sashes or moldings for glass installation
This work happens in the physical world: metal sashes, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Fabricate or install metal sashes or moldings for glass installation, using aluminum or steel framing.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Making and fitting metal sashes is workshop and site work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Cutting, fitting, installing, repairing or replacing glass or glass substitutes
This work happens in the physical world: glass, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Cut, fit, install, repair, or replace glass or glass substitutes, such as plastic or aluminum, in building interiors or exteriors or in furniture or other products.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Cutting and fitting glass into a building is physical work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Determining plumb of walls or ceilings
This work happens in the physical world: plumb of walls, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Determine plumb of walls or ceilings, using plumb lines and levels.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Checking a wall is plumb means holding a level against it.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Setting glass doors into frames and bolt metal hinges
This work happens in the physical world: glass doors, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Set glass doors into frames and bolt metal hinges, handles, locks, or other hardware to attach doors to frames and walls.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Hanging glass doors and bolting on hardware is hands-on.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Cutting and removing broken glass prior to installing replacement glass
This work happens in the physical world: broken glass prior, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Cut and remove broken glass prior to installing replacement glass.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Removing broken glass safely is done by hand.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Packing spaces between moldings and glass with glazing compounds and trimming excess material with glazing knives
This work happens in the physical world: spaces, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Pack spaces between moldings and glass with glazing compounds and trim excess material with glazing knives.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Packing glazing compound and trimming it is manual work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Measuring mirrors and dimensions of areas to be covered to determine work procedures
This work happens in the physical world: mirrors, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Measure mirrors and dimensions of areas to be covered to determine work procedures.” (O*NET task statement)
How this row was scored
Exposure score: 8 out of 100 (1–15 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Measuring up a space means being there with a tape, though the calculations that follow are easy.
The five ratings: output a model can produce 1/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Loading and arranging glass or mirrors onto delivery trucks
This work happens in the physical world: glass, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Load and arrange glass or mirrors onto delivery trucks, using suction cups or cranes to lift glass.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Loading glass onto trucks is heavy manual handling.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Show the other 17 tasks
Selecting the type or color of glass or mirror according to specifications
staying humanThis work happens in the physical world: the type, in a real place. Software cannot follow it there.
importance 4 · SupplementalSource: “Select the type or color of glass or mirror according to specifications.” (O*NET task statement)
How this row was scored
Exposure score: 38 out of 100 (31–45 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: Matching glass type to a written specification is documented knowledge, though the stock still has to be picked.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Conferring with customers to determine project requirements or to provide cost estimates
staying humanThe value here is that a specific person handles customers and stands behind it. That is earned, not computed.
importance 4 · SupplementalSource: “Confer with customers to determine project requirements or to provide cost estimates.” (O*NET task statement)
How this row was scored
Exposure score: 30 out of 100 (23–37 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Pricing can be drafted from a standard list, but customers usually want to talk the job through with the fitter.
The five ratings: output a model can produce 2/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Creating patterns on glass
staying humanThis work happens in the physical world: patterns, in a real place. Software cannot follow it there.
importance 3 · SupplementalSource: “Create patterns on glass by etching, sandblasting, or painting designs.” (O*NET task statement)
How this row was scored
Exposure score: 13 out of 100 (6–20 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: mistakes that are cheap to catch; work that happens in the physical world.
The rating behind it: A design can be generated on screen, but etching or sandblasting it onto glass is done by hand.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Fastening glass panes into wood sashes or frames with clips
staying humanThis work happens in the physical world: glass panes, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Fasten glass panes into wood sashes or frames with clips, points, or moldings, adding weather seals or putty around pane edges to seal joints.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Fastening panes into sashes and sealing the edges is manual work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Securing mirrors in position, using mastic cement, putty, bolts or screws
staying humanThis work happens in the physical world: mirrors, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Secure mirrors in position, using mastic cement, putty, bolts, or screws.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Fixing mirrors in place with cement, bolts or screws is physical.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Scoring glass with cutters' wheels
staying humanThis work happens in the physical world: glass, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Score glass with cutters' wheels, breaking off excess glass by hand or with notched tools.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Scoring and snapping glass is a hand skill.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Cutting, assembling, fitting or attaching metal-framed glass enclosures for showers, bathtubs, display cases, skylights, solariums or other structures
staying humanThis work happens in the physical world: metal-framed glass enclosures, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Cut, assemble, fit, or attach metal-framed glass enclosures for showers, bathtubs, display cases, skylights, solariums, or other structures.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Building and fitting framed glass enclosures is site work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Driving trucks to installation sites and unload mirrors
staying humanThis work happens in the physical world: trucks, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Drive trucks to installation sites and unload mirrors, glass equipment, or tools.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Driving to site and unloading glass is physical.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Cutting and attaching mounting strips
staying humanThis work happens in the physical world: strips, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Cut and attach mounting strips, metal or wood moldings, rubber gaskets, or metal clips to surfaces in preparation for mirror installation.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Cutting and fixing mounting strips and gaskets is hands-on.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Assembling, erecting or dismantle scaffolds, rigging or hoisting equipment
staying humanThis work happens in the physical world: dismantle scaffolds, rigging or hoisting equipment, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Assemble, erect, or dismantle scaffolds, rigging, or hoisting equipment.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Putting up and taking down scaffolding is physical.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Measuring and marking outlines or patterns on glass to indicate cutting lines
staying humanThis work happens in the physical world: outlines, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Measure and mark outlines or patterns on glass to indicate cutting lines.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Marking cutting lines on the glass itself is handwork.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Grinding or polishing glass, smoothing edges
staying humanThis work happens in the physical world: glass, smoothing edges, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Grind or polish glass, smoothing edges when necessary.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Grinding and polishing glass edges is machine handwork.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Preparing glass for cutting by resting it on rack edges or against cutting tables and brushing thin layer of oil along cutting lines or dipping cutting tools in oil
staying humanThis work happens in the physical world: glass, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Prepare glass for cutting by resting it on rack edges or against cutting tables and brushing thin layer of oil along cutting lines or dipping cutting tools in oil.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Setting glass up and oiling the cut line is physical preparation.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Operating cranes or hoists with suction cups to lift large
staying humanThis work happens in the physical world: cranes, in a real place. Software cannot follow it there.
importance 4 · CoreSource: “Operate cranes or hoists with suction cups to lift large, heavy pieces of glass.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Lifting heavy glass with a crane is physical work on site.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Moving furniture to clear work sites and cover floors or furnishings with drop cloths
staying humanThis work happens in the physical world: furniture, in a real place. Software cannot follow it there.
importance 3 · CoreSource: “Move furniture to clear work sites and cover floors or furnishings with drop cloths.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Shifting furniture and laying dust sheets is manual work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Assembling and cementing sections of stained glass together
staying humanThis work happens in the physical world: sections of stained glass together, in a real place. Software cannot follow it there.
importance 3 · SupplementalSource: “Assemble and cement sections of stained glass together.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Assembling stained glass sections is craft handwork.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
Measuring, cutting, fitting and press anti-glare adhesive film to glass or spraying glass with tinting solution to prevent light glare
staying humanThis work happens in the physical world: press anti-glare adhesive film, in a real place. Software cannot follow it there.
importance 3 · SupplementalSource: “Measure, cut, fit, and press anti-glare adhesive film to glass or spray glass with tinting solution to prevent light glare.” (O*NET task statement)
How this row was scored
Exposure score: 0 out of 100 (0–4 allowing for uncertainty): minimal exposure, high confidence.
Why it sits in this group: work that happens in the physical world.
The rating behind it: Applying film or tint to glass is careful handwork.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 1/4.
What this job pays, and how many people do it
- Median pay
- $57,080a year, the middle of the range, so half earn more and half earn less.bls-oews, 2025 · May 2025 estimates (national_M2025_dl.xlsx)
How we know this
Source: bls-oews
Reference period: May 2025 estimates (national_M2025_dl.xlsx)
Rounding: Shown as published.
- People doing this job
- 58,480in the US, 2025.bls-oews · May 2025 estimates (national_M2025_dl.xlsx)
What is deliberately not here: a forecast of how many of these jobs exist in ten years. Where an official projection exists for a market we publish it with its vintage; where it does not, we leave the space empty rather than borrow the other country’s number.
Why this is shifting
The reason is boringly specific. Most of what is shifting here is the same call made over and over on blueprints, where the right answer is already known. The rows above are exactly that shape: reading and interpreting blueprints or specifications to determine size. What it cannot do is be there in the room, and that is still where pre-assembled metal gets done. Which is why this page talks about your tasks changing, not your job ending.
Your move
Over a pint: what I’d tell you if you were my friend
Start with what does not change: installing pre-assembled metal or wood frameworks for windows or doors to be fitted with glass panels is the middle of this job, and the evidence on this page says it stays with a person.
So, given all that: 0% of this job's task weight sits in rows the software is already learning, 5% in rows that change shape rather than disappear, and 95% in rows it is nowhere near. That is the position, measured across 27 scored tasks. It is not a forecast about you.
So the thing worth your attention is not the job going away. It is the layer around it. Reading and interpreting blueprints or specifications to determine size is the part turning into software, and being the person who understands that layer is worth money.
This week: one thing
Ask the one question. Find whoever is bringing new software into your workplace (the manager, the office, whoever runs the system) and ask them what it is meant to do to blueprints, and what it is not meant to touch. Ten minutes, this week, before anyone decides it for you.
- What you end up holding
- a straight answer about what is actually being rolled out, and when
- How long it takes
- ten minutes
If there’s nobody obvious to ask, or you’d rather not ask your manager: Put the same question to your union rep, your shift lead or the person who has been there longest, in person, over a break. Same ten minutes, same answer, and you will usually get a straighter one. Write down what they say. The note is the artifact, and it tells you whether pre-assembled metal is in scope or not. Nothing to log into, no license needed.
Over the next 90 days
Get inside the tool rollout rather than waiting for it. Over the next ninety days, ask to be in the group that tests, checks or signs off whatever new system arrives near reading and interpreting blueprints or specifications to determine size. It is usually an unglamorous seat that nobody fights for, and it is the one that decides how the software is used on your job rather than to it.
Over the next 12 months
On this evidence I would not retrain out of this job, and I will say that plainly rather than hedge it. The task list here is dominated by work that stays with a person. What I would do with a year is get formally recognised for the layer around it (the systems, the compliance, the planning), so you are the one who understands the software instead of the one it is done to. Before you pay for anything, use CareerOneStop - Find local training. It is free, it is the Labor Department's own service, and it is listed below with the rest of the free routes.
The roads out of here, and why I am not sending you down them
I looked at the obvious moves out of this job, and here is what I found.
I checked the 12 nearest US occupations to glaziers (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was automotive glass installers and repairers: only about 12% of its durable work is work you already do and it pays 16.6% less. And on the numbers you do not need one. This job scores 4/100 here, with only 0% of the task list in the top band, and “read and interpret blueprints or specifications to determine size, shape, color, type…” is not work that hands over cleanly. None of them beats deepening what you already have.
How that was checked: this job was compared against all 830 US occupations in this release on their official task statements, and the 12 nearest were examined one by one. A move that turns on an industry, an employer or a qualification rather than on the work itself will not show up in a check like that. And this release carries no licence register, so anything you are weighing needs that looked up separately.
3 moves I checked and rejected
These are the obvious-looking jumps. They are here with their reasons rather than quietly dropped, because the ones that fail are worth knowing about. It is one less thing to turn over at night.
Automotive Glass Installers and Repairers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already cut and remove broken glass prior to installing replacement glass, and their equivalent is to install replacement glass in vehicles. Across both published task lists that is about 12% of the durable work in that job.
Why I am not recommending it: You would be starting most of it from nothing: about 12% of the durable work in that job is work you do today, and the rest you would be learning while the bills carried on. It is a pay cut, in those words: $47,630 against your $57,080, 16.6% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Carpenters
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already determine plumb of walls or ceilings, using plumb lines and levels, and their equivalent is to verify trueness of structure, using plumb bob and level. Across both published task lists that is about 5% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 5% of the durable side of that job. That is a different job, not a next step.
Automotive Body and Related Repairers
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already cut and remove broken glass prior to installing replacement glass, and their equivalent is to replace damaged glass on vehicles. Across both published task lists that is about 2% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 2% of the durable side of that job. That is a different job, not a next step.
What I’d stop worrying about
A friend tells you what not to spend fear on. This is that list.
The headline number you read somewhere
The big “X% of jobs” figures are about the whole economy, not about you. The number that describes your job is on this page: 0% of its task weight, across 27 scored tasks. Every row behind it is printed above with the source. Check ours; ignore theirs.
The headlines about your trade disappearing
They are usually about the technology, not the timetable. Changes to work like installing pre-assembled metal or wood frameworks for windows or doors to be fitted with glass panels arrive through rules, insurance and money, slowly and visibly. This page tracks the task evidence and will move when it moves.
Retraining out of a job that is holding up
On this evidence I would not spend money leaving. Spend it on the layer around the job instead: the tools, the paperwork, the planning. That is where the change actually is.
The “obvious” next job everyone suggests
I checked the obvious moves and most of them did not survive. The reasons are printed with the routes above, including the pay and the gate. A move that fails on the numbers is worth knowing about so you can stop turning it over at night.
You are reading the United States figures
The United Kingdom splits this work across more than one official group, of which Glaziers, window fabricators and fitters is the closest. The pay and employment figures are not directly comparable, and we do not average them together.
Switch to the United Kingdom page →partial match
In UK official statistics this job is counted as Glaziers, window fabricators and fitters. Pay and employment stay on this page’s own group; the task list and the scores do not cross over.
Your route through this
Where to go next, and what it costs
Free, and complete
The moves above cost nothing. These are the real services that go with them: public, government-funded, and free at the point of use. Nothing on this page is behind an email address or a payment.
Anywhere in the US:
CareerOneStop - Find local training
Search what's running near you, from the Labor Department's own database, before anyone sells you a course.
Free to search; individual programs vary, and some are funded
Anywhere in the US:
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
Free
Why there is no community here
Collab365, who build this site, run paid Spaces for a small number of subjects, and none of them is built for this job. We are not going to point you at the nearest one and call it a fit.
So the free services listed on this page are the whole answer, and it is the same answer we would give a friend.
Noted, and thank you. We’ll email you if a Space for glaziers launches. Nothing else.
That did not look like an email address, so nothing was saved. Have another go below.
We could not save that. The fault is ours, not yours, and your address was not stored. Please try again later.
No deadline on any of this. The page will still be here, and the data is refreshed on a published schedule rather than when someone wants a headline.
Questions people ask about this job
- Will AI replace Glaziers?
- Not as a job, but it is already doing parts of the work. Across the 27 official task statements scored for Glaziers (United States, SOC 47-2121), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 4 out of 100 (range 3–9, band: minimal). That is a statement about tasks, not about headcount: this measures what AI could do, not whether any employer adopts it, whether the law allows it, or whether doing the routine parts faster creates more demand for the human parts. Figures are from release 2026-q4.1.
- Which tasks in “Glaziers” can AI already do?
- The highest-scoring tasks in release 2026-q4.1 are: “Read and interpret blueprints or specifications to determine size, shape, color, type, or thickness of glass, location of framing, installation procedures, o…” (43/100, partial); “Select the type or color of glass or mirror according to specifications” (38/100, low); “Confer with customers to determine project requirements or to provide cost estimates” (30/100, low). Each score comes from five published 0–4 ratings turned into a number by a published formula, and each carries the model's one-sentence reason on the page.
- Which tasks in “Glaziers” stay human?
- About 95% of this job's task weight sits in work that scores low for AI exposure. The lowest-scoring tasks in release 2026-q4.1 are: “Measure, cut, fit, and press anti-glare adhesive film to glass or spray glass with tinting solution to prevent light glare” (0/100, minimal); “Assemble and cement sections of stained glass together” (0/100, minimal); “Move furniture to clear work sites and cover floors or furnishings with drop cloths” (0/100, minimal). Low scores usually mean the task needs a body in a room, a legally accountable human, or trust built in real time. Those are the three things the scoring rubric treats as gates rather than obstacles.
- What should someone working in “Glaziers” do about AI?
- Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 95% is not. The practical move is to spend more of your week on the tasks that score low, the ones above, and to get fluent at directing AI through the tasks that score high, because those are the parts that change whether or not you are ready for them. This page does not predict your job, and nothing here is career advice tailored to you: the score describes the occupation, not the person.
- How is the AI exposure score for Glaziers calculated?
- Each official task statement for the occupation is rated on five published 0–4 dimensions (output replicability, physical embodiment, licensed accountability, real-time human trust, and data availability) by claude-opus-5 using scoring prompt task_scoring_v1.0. The model never writes the score; a published formula turns the five ratings into a 0–100 number, so every score can be recomputed by hand. The occupation figure is the importance-weighted mean across 27 scored tasks. The prompt, the rubric, the formula and the full dataset are published at https://futureproof.collab365.com/method and https://futureproof.collab365.com/data/2026-q4.1 under CC BY 4.0.
Where these numbers come from
Worth knowing about these figures
- The match between this job and its counterpart in the other country is partial, so the two pages count slightly different groups of people.
- 3 of this occupation's scored task statements carry a score that was measured under a different occupation's context, because the statement is shared between jobs and has only been scored once so far. Each one names the occupation it was measured under in the free routes below; none is presented as a measurement for this job.
- Task clusters are not derived in this release, so the task-cluster field is empty and no Collab365 Space routing is attached to this occupation yet.
- Task statements
- onet-dbProcessing: catalogue-bridge → onet-im-rt-weighting → task-scoring → score-aggregation
- Task weights
- onet-db (im-rt)
- Scores
- Rubric task_scoring_v1.0, model claude-opus-5, computed 2026-08-05.
- Pay and employment
- bls-oews (May 2025 estimates (national_M2025_dl.xlsx))bls-oews (May 2025 estimates (national_M2025_dl.xlsx))
Figures on this page come from release 2026-q4.1, published 2026-08-05. Every release keeps its own permanent address, so a figure you cite in March is still there, unchanged, in November.
The plain-English wording on this page is assembled directly from the task statements and the published ratings, not written by hand for this occupation. That is why it is specific, and it is also why we say so.
The routes and free resources further up are today’s, not the release’s (last reviewed 2026-08-05). A route is an offer, not a historical fact, so it moves on its own clock.
Using these figures?
Cite this
Everything on this site is published under CC BY 4.0. Quote it, chart it, sell something built on it. Just say where it came from, and cite the dated release rather than the site, so the figure you quote stays checkable.
Plain text
Collab365 (2026). Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1 (methodVersion 2.0.0, promptVersion task_scoring_v1.0). https://futureproof.collab365.com/data/2026-q4.1. Licensed CC BY 4.0. Built with O*NET data (USDOL/ETA, CC BY 4.0); ONS data (Open Government Licence v3.0); GAISI task framework (arXiv:2507.22748, MIT); BLS data (public domain).
BibTeX
@misc{collab365futureproof2026q41,
title = {Collab365 Futureproof: task-level AI exposure for US and UK occupations, release 2026-q4.1},
author = {{Collab365}},
year = {2026},
url = {https://futureproof.collab365.com/data/2026-q4.1},
note = {Release 2026-q4.1, methodVersion 2.0.0, promptVersion task_scoring_v1.0, CC BY 4.0}
}Data as of release 2026-q4.1, published . Releases never change after publication; when the figures move, a new dated release is published beside this one and this one stays exactly where it is.
