Will AI replace Dentists, General?

Not as a job, but it is already doing parts of the work. Across the 20 official task statements scored for Dentists, General (United States, SOC 29-1021), 8% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 17 out of 100 (range 14–23, 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 “Dentists, General” can AI already do?

The highest-scoring tasks in release 2026-q4.1 are: “Analyze or evaluate dental needs to determine changes or trends in patterns of dental disease” (75/100, high); “Produce or evaluate dental health educational materials” (72/100, high); “Plan, organize, or maintain dental health programs” (48/100, partial). 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 “Dentists, General” stay human?

About 84% 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: “Use dental air turbines, hand instruments, dental appliances, or surgical implements” (0/100, minimal); “Use masks, gloves, and safety glasses to protect patients and self from infectious diseases” (0/100, minimal); “Bleach, clean, or polish teeth to restore natural color” (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 “Dentists, General” do about AI?

Start from the ledger rather than the headline: 8% of this job's weighted core work is exposed, and roughly 84% 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 Dentists, General 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 20 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

Dentists, General

using masks, writing prescriptions for antibiotics or other medications and advising or instructing patients regarding preventive dental care. If that's your week, this page is about your job.

The honest answer

AI changes the edges of this job, not the middle: using masks, gloves and safety glasses to protect patients and self from infectious diseases 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: 8%
changing shape: 8%
staying human: 84%

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

Whole-job exposure score 17 out of 100 (14–23 allowing for uncertainty): minimal exposure, across 20 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 dentists, general 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 2026-08-04. Read the full method.

What shifts is analyzing or evaluating dental needs to determine changes or trends in patterns of dental disease: the paper around the work, not the work.

Your week, as this page understands it

Examine, diagnose, and treat diseases, injuries, and malformations of teeth and gums. May treat diseases of nerve, pulp, and other dental tissues affecting oral hygiene and retention of teeth. May fit dental appliances or provide preventive care. The job title says “dentists” or “general”: officially one job, two names. The real job is the part underneath: using masks, gloves and safety glasses to protect patients and self from infectious diseases. 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 dentists, general is not one task. It is 20 scored ones, and they are nowhere near equally exposed. The most durable of them, on this evidence, is using masks, gloves and safety glasses to protect patients and self from infectious diseases, and the ledger below shows exactly why.

Where the work sits, by task weight

shifting to AI: 8%
changing shape: 8%
staying human: 84%

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 2026-08-04. 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

2 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.

Analyzing or evaluating dental needs to determine changes or trends in patterns of dental disease
This is reading one thing and writing another: dental needs in, a record out. That is the shape today's tools are built for.
importance 4 · Core
Source: “Analyze or evaluate dental needs to determine changes or trends in patterns of dental disease.” (O*NET task statement)
How this row was scored
Exposure score: 75 out of 100 (68–82 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Spotting patterns in dental disease across records is straightforward data analysis at a screen.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 0/4 · needs to be trusted in the moment 0/4 · how much data exists 3/4.
Producing or evaluating dental health educational materials
This is reading one thing and writing another: dental health educational materials in, a record out. That is the shape today's tools are built for.
importance 3 · Core
Source: “Produce or evaluate dental health educational materials.” (O*NET task statement)
How this row was scored
Exposure score: 72 out of 100 (65–79 allowing for uncertainty): high exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Health education material is well-covered ground that software drafts well, with a dentist checking accuracy.
The five ratings: output a model can produce 3/4 · needs a body in a room 0/4 · needs an accountable person 1/4 · needs to be trusted in the moment 0/4 · how much data exists 4/4.

Changing shape

2 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.

Managing business aspects, employing or supervising staff or handling paperwork or insurance claims
The software now makes the first pass at business aspects, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Manage business aspects such as employing or supervising staff or handling paperwork or insurance claims.” (O*NET task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Claims, schedules and staff paperwork are exactly the kind of admin software drafts well.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Planning, organizing or maintaining dental health programs
The software now makes the first pass at dental health programs, but the deciding part still needs a person. So the job becomes checking and deciding rather than producing.
importance 4 · Core
Source: “Plan, organize, or maintain dental health programs.” (O*NET task statement)
How this row was scored
Exposure score: 48 out of 100 (41–55 allowing for uncertainty): partial exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; mistakes that are cheap to catch.
The rating behind it: Planning and running a dental health program is mostly organizing, writing and scheduling.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 0/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

Staying human

16 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.

Using masks, gloves and safety glasses to protect patients and self from infectious diseases
This work happens in the physical world: masks, gloves and safety glasses, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Use masks, gloves, and safety glasses to protect patients and self from infectious diseases.” (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: the same decision, made over and over; work that happens in the physical world.
The rating behind it: Putting on masks, gloves and glasses is a physical act in the treatment room.
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 3/4.
Examining teeth, gums and related tissues, using dental instruments, x-rays or other diagnostic equipment
This work happens in the physical world: teeth, gums and related tissues, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Examine teeth, gums, and related tissues, using dental instruments, x-rays, or other diagnostic equipment, to evaluate dental health, diagnose diseases or abnormalities, and plan appropriate treatments.” (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: the same decision, made over and over; work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Software reads dental x-rays well, but the examination itself needs instruments in a patient’s mouth.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Administering anesthetics to limit the amount of pain experienced by patients during procedures
This work happens in the physical world: anesthetics, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Administer anesthetics to limit the amount of pain experienced by patients during procedures.” (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: the same decision, made over and over; work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Injecting anesthetic into a patient requires licensed hands on the person.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Advising or instructing patients regarding preventive dental care
The value here is that a specific person handles patients regarding preventive dental care and stands behind it. That is earned, not computed.
importance 5 · Core
Source: “Advise or instruct patients regarding preventive dental care, the causes and treatment of dental problems, or oral health care services.” (O*NET task statement)
How this row was scored
Exposure score: 34 out of 100 (27–41 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; the value is that a specific person does it.
The rating behind it: Clear preventive-care advice is easy to generate, though patients often need a person to reassure them.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 1/4 · needs to be trusted in the moment 2/4 · how much data exists 3/4.
Formulating plan of treatment for patient's teeth and mouth tissue
The rules require a named, qualified person to answer for plan of treatment, and that person cannot be a piece of software.
importance 5 · Core
Source: “Formulate plan of treatment for patient's teeth and mouth tissue.” (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: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: A treatment plan can be drafted from records, but law requires a licensed dentist to set it.
The five ratings: output a model can produce 3/4 · needs a body in a room 1/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Diagnosing and treating diseases, injuries or malformations of teeth, gums or related oral structures and providing preventive or corrective services
This work happens in the physical world: diseases, injuries or malformations of teeth, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Diagnose and treat diseases, injuries, or malformations of teeth, gums, or related oral structures and provide preventive or corrective services.” (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: the same decision, made over and over; work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Diagnosis can be supported by software, but treating teeth and gums is licensed hands-on care.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.

Show the other 10 tasks

Writing prescriptions for antibiotics or other medications
staying human
The rules require a named, qualified person to answer for prescriptions, and that person cannot be a piece of software.
importance 5 · Core
Source: “Write prescriptions for antibiotics or other medications.” (O*NET task statement)
How this row was scored
Exposure score: 39 out of 100 (32–46 allowing for uncertainty): low exposure, medium confidence.
Why it sits in this group: reading one thing and writing another; the same decision, made over and over; someone qualified has to answer for it.
The rating behind it: The wording is routine, but only a licensed prescriber may legally issue a prescription.
The five ratings: output a model can produce 4/4 · needs a body in a room 0/4 · needs an accountable person 4/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Designing, making or fitting prosthodontic appliances, such as space maintainers, bridges or dentures or writing fabrication instructions or prescriptions for denturists or dental technicians
staying human
This work happens in the physical world: prosthodontic appliances, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Design, make, or fit prosthodontic appliances, such as space maintainers, bridges, or dentures, or write fabrication instructions or prescriptions for denturists or dental technicians.” (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; someone qualified has to answer for it.
The rating behind it: Design software helps, but making and fitting appliances in a patient’s mouth is hands-on.
The five ratings: output a model can produce 2/4 · needs a body in a room 3/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Filling pulp chamber and canal with endodontic materials
staying human
This work happens in the physical world: pulp chamber, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Fill pulp chamber and canal with endodontic materials.” (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; someone qualified has to answer for it.
The rating behind it: Filling a root canal is precise handwork inside the tooth.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Treating exposure of pulp by pulp capping
staying human
This work happens in the physical world: exposure of pulp, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Treat exposure of pulp by pulp capping, removal of pulp from pulp chamber, or root canal, using dental instruments.” (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; someone qualified has to answer for it.
The rating behind it: Treating exposed pulp is a hands-on procedure using dental instruments.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Eliminating irritating margins of fillings and correct occlusions
staying human
This work happens in the physical world: margins of fillings, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Eliminate irritating margins of fillings and correct occlusions, using dental instruments.” (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; someone qualified has to answer for it.
The rating behind it: Smoothing fillings and adjusting a patient’s bite is done with instruments in the mouth.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · needs to be trusted in the moment 0/4 · how much data exists 2/4.
Performing oral or periodontal surgery on the jaw or mouth
staying human
This work happens in the physical world: oral, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Perform oral or periodontal surgery on the jaw or mouth.” (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; someone qualified has to answer for it.
The rating behind it: Oral surgery is physical work on a patient by a licensed surgeon.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Removing diseased tissue, using surgical instruments
staying human
This work happens in the physical world: diseased tissue, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Remove diseased tissue, using surgical instruments.” (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; someone qualified has to answer for it.
The rating behind it: Cutting out diseased tissue is done with instruments in a patient's body.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 4/4 · needs to be trusted in the moment 1/4 · how much data exists 2/4.
Applying fluoride or sealants to teeth
staying human
This work happens in the physical world: fluoride, in a real place. Software cannot follow it there.
importance 4 · Core
Source: “Apply fluoride or sealants to 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: the same decision, made over and over; work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Applying fluoride or sealants means physically treating the patient's teeth.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Bleaching, cleaning or polish teeth to restore natural color
staying human
This work happens in the physical world: polish teeth, in a real place. Software cannot follow it there.
importance 3 · Core
Source: “Bleach, clean, or polish teeth to restore natural color.” (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: the same decision, made over and over; work that happens in the physical world; someone qualified has to answer for it.
The rating behind it: Cleaning and polishing teeth requires instruments in a patient’s mouth.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 2/4 · needs to be trusted in the moment 1/4 · how much data exists 3/4.
Using dental air turbines, hand instruments, dental appliances or surgical implements
staying human
This work happens in the physical world: dental air turbines, hand instruments, in a real place. Software cannot follow it there.
importance 5 · Core
Source: “Use dental air turbines, hand instruments, dental appliances, or surgical implements.” (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; someone qualified has to answer for it.
The rating behind it: Using drills and surgical instruments is physical work inside a patient’s mouth.
The five ratings: output a model can produce 0/4 · needs a body in a room 4/4 · needs an accountable person 3/4 · 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: $170,950a 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: 124,390in 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 reading one thing and writing another: dental needs in, a record out. The rows above are exactly that shape: analyzing or evaluating dental needs to determine changes or trends in patterns of dental disease and producing or evaluating dental health educational materials. What it cannot do is be there in the room, and that is still where masks, gloves and safety glasses get 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: using masks, gloves and safety glasses to protect patients and self from infectious diseases is the middle of this job, and the evidence on this page says it stays with a person.

So, given all that: 8% of this job's task weight sits in rows the software is already learning, 8% in rows that change shape rather than disappear, and 84% in rows it is nowhere near. That is the position, measured across 20 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. Analyzing or evaluating dental needs to determine changes or trends in patterns of dental disease 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 dental needs, 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 masks, gloves and safety glasses are 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 managing business aspects, employing or supervising staff or handling paperwork or insurance claims. 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 dentists, general (nearest by the work that AI is not taking, not by job title), and none of them survived. The closest was orthodontists: only about 9% of its durable work is work you already do and there are far fewer of those jobs than of yours. And on the numbers you do not need one. This job scores 17/100 here, with only 8% of the task list in the top band, and “use masks, gloves, and safety glasses to protect patients and self from…” 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.

Orthodontists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already formulate plan of treatment for patient's teeth and mouth tissue, 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 9% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 9% of the durable side of that job. That is a different job, not a next step. And it is a narrow door: about 6,210 of those jobs against 124,390 of yours (OEWS May 2025), 5% as many seats.
Look at that job’s page anyway →
Dental Assistants
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already apply fluoride or sealants to teeth, and their equivalent is to apply protective coating of fluoride to teeth. Across both published task lists that is about 9% of the durable work in that job.
Why I am not recommending it: Almost none of it is work you already do: about 9% of the durable side of that job. That is a different job, not a next step. It is a pay cut, in those words: $48,070 against your $170,950, 71.9% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
Look at that job’s page anyway →
Dental Hygienists
Why it looked obvious: It came up as a near neighbour on the work AI is not taking: you already use dental air turbines, hand instruments, dental appliances, or surgical implements, and their equivalent is to maintain dental equipment and sharpen and sterilize dental instruments. 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. It is a pay cut, in those words: $98,100 against your $170,950, 42.6% less (OEWS May 2025 (both)). Retraining to earn less is a decision, not advice.
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: 8% of its task weight, across 20 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 using masks, gloves and safety glasses to protect patients and self from infectious diseases 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 Dental practitioners 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 Dental practitioners. 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:
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

No Space for this job, but one for what is happening to it

Nothing Collab365 runs is built for dentists / general, and we are not going to point you at the nearest one and call it a fit.

There is one that is not about a job title at all. The AI Authority is about being the person who directs these tools at work rather than the person they get compared to. That is worth saying here, because 8% of the work on this page is already inside what they can do.

Try The AI Authority free →

7 days free, no card needed. Explore up to 2 Spaces before you choose a plan: you pick a plan later, not now.

The AI Authority is a general community about working with AI, not a course for dentists / general. You do not need it to act on anything here: the moves above cost nothing and stand on their own. The data on this page is the same either way.

Noted, and thank you. We’ll email you if a Space for dentists / general 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 dentists / general 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

Collab365 launches new communities where the need is real. If one for dentists / general existed, with researched problems, courses and people in the same boat, would you want in?

Your email

We use your email address for one thing: to tell you if a Space for dentists / general launches. We never sell it, never use it for unrelated marketing, and every email has a one-click unsubscribe. Our privacy policy has the full version.

This unlocks nothing. Every figure, every row and every step on this page is already yours, whether you fill this in or not.

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 Dentists, General?: Not as a job, but it is already doing parts of the work. Across the 20 official task statements scored for Dentists, General (United States, SOC 29-1021), 8% of the importance-weighted core work is made of tasks today's AI could already do most of. The overall exposure score is 17 out of 100 (range 14–23, 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 “Dentists, General” can AI already do?: The highest-scoring tasks in release 2026-q4.1 are: “Analyze or evaluate dental needs to determine changes or trends in patterns of dental disease” (75/100, high); “Produce or evaluate dental health educational materials” (72/100, high); “Plan, organize, or maintain dental health programs” (48/100, partial). 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 “Dentists, General” stay human?: About 84% 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: “Use dental air turbines, hand instruments, dental appliances, or surgical implements” (0/100, minimal); “Use masks, gloves, and safety glasses to protect patients and self from infectious diseases” (0/100, minimal); “Bleach, clean, or polish teeth to restore natural color” (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 “Dentists, General” do about AI?: Start from the ledger rather than the headline: 8% of this job's weighted core work is exposed, and roughly 84% 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 Dentists, General 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 20 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 2026-08-04.
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.

How we score a job Download this release Look up another job

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}
}

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.