Will AI replace Dental Laboratory Technicians?

Not as a job, but it is already doing parts of the work. Across the 17 official task statements scored for Dental Laboratory Technicians (United States, SOC 51-9081), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 3 out of 100 (range 2–8, 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 “Dental Laboratory Technicians” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Read prescriptions or specifications and examine models or impressions to determine the design of dental products to be constructed” (33/100, low); “Train or supervise other dental technicians or dental laboratory bench workers” (6/100, minimal); “Fabricate, alter, or repair dental devices, such as dentures, crowns, bridges, inlays, or appliances for straightening teeth” (0/100, minimal). 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 “Dental Laboratory Technicians” stay human?

About 100% 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: “Shape and solder wire and metal frames or bands for dental products, using soldering irons and hand tools” (0/100, minimal); “Rebuild or replace linings, wire sections, or missing teeth to repair dentures” (0/100, minimal); “Mold wax over denture setups to form the full contours of artificial gums” (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 “Dental Laboratory Technicians” do about AI?

Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 100% 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 Dental Laboratory Technicians 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 17 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.

US dataswitch to UK

Dental Laboratory Technicians

reading prescriptions or specifications and examining models or impressions to determine the design of dental products, placing tooth models on an apparatus that mimics bite and movement of patient's jaw to evaluate functionality of model and applying porcelain paste or wax over prosthesis frameworks or setups. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: fabricating alter or repairing dental devices, such as dentures, crowns, bridges, inlays or appliances for straightening teeth is work software can't reach.

Your move: what you can actually do about this ↓

Where the work sits, by task weight

shifting to AI: 0%
changing shape: 0%
staying human: 100%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

Whole-job exposure score 3 out of 100 (2–8 allowing for uncertainty): minimal exposure, across 17 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 dental laboratory technicians 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.

What shifts is the routine end of the work: the overhead at the edges, not the middle you trained for.

Your week, as this page understands it

Construct and repair full or partial dentures or dental appliances. The job title says “dental laboratory technicians”. The real job is the part underneath: fabricating alter or repairing dental devices, such as dentures, crowns, bridges, inlays or appliances for straightening teeth. 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 dental laboratory technicians is not one task. It is 17 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is fabricating alter or repairing dental devices, such as dentures, crowns, bridges, inlays or appliances for straightening teeth, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 0%
changing shape: 0%
staying human: 100%

These bars are tasks changing hands, not people being counted out. The ledger below shows which.

How we know this

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.

5 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 tasks

Tasks 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

0 tasks

Tasks 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.

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.

Staying human

17 tasks

Tasks 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.

Reading prescriptions or specifications and examining models or impressions to determine the design of dental products
This work happens in the physical world: prescriptions, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Read prescriptions or specifications and examine models or impressions to determine the design of dental products to be constructed.” (O*NET task statement)
How this row was scored
Exposure score: 33 out of 100 (26–40 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: Design software already turns a prescription and a digital scan into a plan, though physical models still need examining.
The five ratings: output a model can produce 3/4 · needs a body in a room 2/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Fabricating alter or repairing dental devices, such as dentures, crowns, bridges, inlays or appliances for straightening teeth
This work happens in the physical world: alter, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Fabricate, alter, or repair dental devices, such as dentures, crowns, bridges, inlays, or appliances for straightening teeth.” (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 repairing dentures, crowns and bridges is skilled hand work at the bench.
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.
Testing appliances for conformance to specifications and accuracy of occlusion
This work happens in the physical world: appliances, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Test appliances for conformance to specifications and accuracy of occlusion, using articulators and micrometers.” (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 fit and bite on articulators means handling the appliance itself.
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.
Placing tooth models on an apparatus that mimics bite and movement of patient's jaw to evaluate functionality of model
This work happens in the physical world: tooth models, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Place tooth models on an apparatus that mimics bite and movement of patient's jaw to evaluate functionality of model.” (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: Mounting models on a jaw simulator is a physical set-up job.
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.
Melting metals or mixing plaster
This work happens in the physical world: metals, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Melt metals or mix plaster, porcelain, or acrylic pastes and pour materials into molds or over frameworks to form dental prostheses or apparatuses.” (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: Melting metal and pouring casting materials is hands-on work at the bench.
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.
Removing excess metal or porcelain and polish surfaces of prostheses or frameworks
This work happens in the physical world: excess metal, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Remove excess metal or porcelain and polish surfaces of prostheses or frameworks, using polishing machines.” (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: Trimming and polishing a prosthesis requires hands on the machine.
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.
Training or supervising other dental technicians or dental laboratory bench workers
This work happens in the physical world: other dental technicians, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Train or supervise other dental technicians or dental laboratory bench workers.” (O*NET task statement)
How this row was scored
Exposure score: 6 out of 100 (0–13 allowing for uncertainty): minimal exposure, medium confidence.
Why it sits in this group: work that happens in the physical world; the value is that a specific person does it.
The rating behind it: Teaching bench skills means standing beside someone while they work with their hands.
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 2/4 · how much data exists 2/4.
Applying porcelain paste or wax over prosthesis frameworks or setups
This work happens in the physical world: porcelain paste, in a real place. Software cannot follow it there.
importance 5 · Supplemental
Source: “Apply porcelain paste or wax over prosthesis frameworks or setups, using brushes and spatulas.” (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 porcelain paste or wax by brush and spatula is skilled hand 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 2/4.
Building and shaping wax teeth
This work happens in the physical world: wax teeth, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Build and shape wax teeth, using small hand instruments and information from observations or dentists' specifications.” (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: Carving wax teeth by hand is craft work at the bench.
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.
Creating a model of patient's mouth by pouring plaster into a dental impression and allowing plaster
This work happens in the physical world: a model of patient's mouth, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Create a model of patient's mouth by pouring plaster into a dental impression and allowing plaster to set.” (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: Pouring plaster into an impression is a physical laboratory step.
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.

Show the other 7 tasks

Preparing metal surfaces for bonding with porcelain to create artificial teeth
staying human
This work happens in the physical world: metal surfaces, in a real place. Software cannot follow it there.
importance 5 · Supplemental
Source: “Prepare metal surfaces for bonding with porcelain to create artificial teeth, using small 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: Preparing metal surfaces with small hand tools is bench 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 2/4.
Loading newly constructed teeth into porcelain furnaces to bake the porcelain onto the metal framework
staying human
This work happens in the physical world: constructed teeth, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Load newly constructed teeth into porcelain furnaces to bake the porcelain onto the metal framework.” (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 work into a furnace requires someone at the oven.
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.
Filling chipped or low spots in surfaces of devices
staying human
This work happens in the physical world: chipped, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Fill chipped or low spots in surfaces of devices, using acrylic resins.” (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: Filling chips with acrylic is a small hands-on repair job.
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.
Preparing wax bite blocks and impression trays
staying human
This work happens in the physical world: wax bite blocks, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Prepare wax bite blocks and impression trays for use.” (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 bite blocks and impression trays is hands-on preparation 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 2/4.
Molding wax over denture setups to form the full contours of artificial gums
staying human
This work happens in the physical world: wax over denture setups, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Mold wax over denture setups to form the full contours of artificial gums.” (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: Shaping wax gums over a denture setup 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 2/4.
Rebuilding or replacing linings, wire sections or missing teeth to repair dentures
staying human
This work happens in the physical world: linings, wire sections or missing teeth, in a real place. Software cannot follow it there.
importance 5 · Supplemental
Source: “Rebuild or replace linings, wire sections, or missing teeth to repair dentures.” (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: Rebuilding a damaged denture is physical repair work.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Shaping and soldering wire and metal frames or bands for dental products
staying human
This work happens in the physical world: wire, in a real place. Software cannot follow it there.
importance 4 · Supplemental
Source: “Shape and solder wire and metal frames or bands for dental products, using soldering irons and 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: Shaping and soldering wire frames is a hand skill with a soldering iron.
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.

What this job pays, and how many people do it

Median pay: $49,610a 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: 34,410in 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. Almost none of this job is reading one thing and writing another (the shape today's tools are built for), because the work turns on alter, which happens with people and things rather than on a screen. The rows above are the evidence rather than the reassurance: reading prescriptions or specifications and examining models or impressions to determine the design of dental products and fabricating alter or repairing dental devices. The parts that are changing are the paperwork and the tools around the job, not the middle of it, 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: fabricating alter or repairing dental devices, such as dentures, crowns, bridges, inlays or appliances for straightening teeth 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, 0% in rows that change shape rather than disappear, and 100% in rows it is nowhere near. That is the position, measured across 17 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. The routine end of the work 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 the routine work, 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 alter 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 prescriptions or specifications and examining models or impressions to determine the design of dental products. 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 dental laboratory technicians (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was prosthodontists: only about 7% of its durable work is work you already do, the 6.3× pay gap is the market pricing a barrier and there are far fewer of those jobs than of yours. And on the numbers you do not need one. This job scores 3/100 here, with only 0% of the task list in the top band, and “read prescriptions or specifications and examine models or impressions to determine the…” 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.

Prosthodontists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already train or supervise other dental technicians or dental laboratory bench workers, and their equivalent is to design and fabricate dental prostheses, or supervise dental technicians and laboratory bench workers…. Across both published task lists that is about 7% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 7% of the durable side of that job. That is a different job, not a next step. The pay gap is the market pricing a barrier: $311,180 against your $49,610 is 6.27× (OEWS May 2025 (both)), and you would be crossing it holding about 7% of their durable work. A gap that size with an overlap that small is a wish, not a route. And it is a narrow door: about 870 of those jobs against 34,410 of yours (OEWS May 2025), 3% as many seats.
Look at that job’s page anyway →
Orthodontists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already fabricate, alter, or repair dental devices, and their equivalent is to fit dental appliances in patients' mouths to alter the position and relationship of…. Across both published task lists that is about 4% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 4% of the durable side of that job. That is a different job, not a next step. The pay gap is the market pricing a barrier: $289,140 against your $49,610 is 5.83× (OEWS May 2025 (both)), and you would be crossing it holding about 4% of their durable work. A gap that size with an overlap that small is a wish, not a route. And it is a narrow door: about 6,210 of those jobs against 34,410 of yours (OEWS May 2025), 18% as many seats.
Look at that job’s page anyway →
Dentists, General
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already train or supervise other dental technicians or dental laboratory bench workers, and their equivalent is to use dental air turbines, hand instruments, dental appliances, or surgical implements. Across both published task lists that is about 3% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 3% of the durable side of that job. That is a different job, not a next step. The pay gap is the market pricing a barrier: $170,950 against your $49,610 is 3.45× (OEWS May 2025 (both)), and you would be crossing it holding about 3% of their durable work. A gap that size with an overlap that small is a wish, not a route.
Look at that job’s page anyway →

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 17 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 fabricating alter or repairing dental devices, such as dentures, crowns, bridges, inlays or appliances for straightening teeth 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 nearest United Kingdom equivalent is Medical and dental technicians. It is a close match rather than an identical one: the two countries draw the boundary of the job in slightly different places.

Switch to the United Kingdom page →close match

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:
American Job Center locator
An American Job Center will sit down with you for free. Find yours by ZIP code.
Free
- CareerOneStop local help hub
Anywhere in the US:
CareerOneStop - Licensed occupations finder
Check what your state actually requires before you pay for anything.
Free
Anywhere in the US:
CareerOneStop
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 dental laboratory technicians 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 Space for dental laboratory technicians yet. Should there be one?

Collab365 Spaces is built by the same people as this site. We find the problems that AI and automation are creating inside one kind of work, then solve them as short courses, briefings and Blueprints. Each Space is the community too, so the research and the people doing your job are in the same place.

What a Space actually is, in full

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Questions people ask about this job

Will AI replace Dental Laboratory Technicians?: Not as a job, but it is already doing parts of the work. Across the 17 official task statements scored for Dental Laboratory Technicians (United States, SOC 51-9081), 0% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 3 out of 100 (range 2–8, 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 “Dental Laboratory Technicians” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Read prescriptions or specifications and examine models or impressions to determine the design of dental products to be constructed” (33/100, low); “Train or supervise other dental technicians or dental laboratory bench workers” (6/100, minimal); “Fabricate, alter, or repair dental devices, such as dentures, crowns, bridges, inlays, or appliances for straightening teeth” (0/100, minimal). 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 “Dental Laboratory Technicians” stay human?: About 100% 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: “Shape and solder wire and metal frames or bands for dental products, using soldering irons and hand tools” (0/100, minimal); “Rebuild or replace linings, wire sections, or missing teeth to repair dentures” (0/100, minimal); “Mold wax over denture setups to form the full contours of artificial gums” (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 “Dental Laboratory Technicians” do about AI?: Start from the ledger rather than the headline: 0% of this job's weighted core work is exposed, and roughly 100% 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 Dental Laboratory Technicians 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 17 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

5 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.

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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}
}

Permalink

https://futureproof.collab365.com/data/2026-q4.1

Data as of release 2026-q4.1, published 2026-08-05. 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.