Dental Assistants
In short: today's best AI models could do about 13% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about the same by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 87% of the time, stays with people.
Perform limited clinical duties under the direction of a dentist. Clinical duties may include equipment preparation and sterilization, preparing patients for treatment, assisting the dentist during treatment, and providing patients with instructions for oral healthcare procedures. May perform administrative duties such as scheduling appointments, maintaining medical records, billing, and coding information for insurance purposes.
387,790 people do this job in the US. $48,070 a year.
Reviewed on September 30, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on1 h
- A person checks AI's work4 h
- Desk work AI can't do yet0 h
- Stays with people35 h
Dental Assistants, now: of a 40-hour week, AI could take on 1 hours, 4 hours become checking its work, 0 hours are desk work it can't do yet, and 35 hours stay with people.
The largest pieces: Chart treatment (about 2 h, a person checks); Handle scheduling, billing and insurance (about 1 h, a person checks); Order and track dental supplies (about 1 h).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 0%
- 13%
- 0%
- 10%
- 77%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
What handing it over would take, now
The 13% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.
of the working time. The material can be handed to a model and the result handed back.
of the working time. The model has to be connected to the system the work lives in.
is conversation short enough by length. This site leaves conversation with people, so it is not in the total.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 4%. With Claude Mythos Preview (early), measured in April 2026, 13%. Today's estimate: 13%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, no reportable share went to this job's tasks in May 2026; 0 of its 16 tasks showed up. Within each of Anthropic's methods, never across a change: 0.0055% to none (released February and March 2025); none to 0.0023% (August 2025 to February 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.0055% | 594 of 708 | 2 of 16 |
| Released March 2025 | none | n/a | 0 of 16 |
| The week of Aug 4, 2025 (released September 2025) | none | n/a | 0 of 16 |
| The week of Nov 13, 2025 (released January 2026) | 0.0027% | 626 of 672 | 1 of 16 |
| The week of Feb 5, 2026 (released March 2026) | 0.0023% | 638 of 677 | 1 of 16 |
| April 2026 (released June 2026) | none | n/a | 0 of 16 |
| May 2026 (released June 2026) | none | n/a | 0 of 16 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 75% of this job's working time as physical work. For 10% of the working time, a robot has been shown doing most of the task somewhere: 10% in a purpose-built cell. 0.10 of 3, the 525th highest of the 923 jobs.
- Not physical 25%
- No robot shown 65%
- In a purpose-built cell 10%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
What changes for the people in this job
From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.
What stays with people
87% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Set up and assist chairside, the hands-on work, 26%
- Clean teeth, the hands-on work, 8%
- Make temporary restorations, the hands-on work, 8%
- Take dental x-rays, the hands-on work, 7%
- Assist in emergencies, the hands-on work, 6%
- Make and fit orthodontic appliances, the hands-on work, 5%
What becomes checking the machine
10% of the working time: desk work a model could do by then, in tasks where a mistake costs something or a licensed person signs. A person checks it. Another 3% is desk work that is small if wrong, which can be handed over with lighter checks.
- Chart treatment, severe if wrong, 5%
- Handle scheduling, billing and insurance, costly if wrong, 3%
- Take histories and vital signs, severe if wrong, 2%
What to learn
- The hands-on craft. About 77% of the time is hands-on work, which no model here does; robots are rated separately on this page.
- Judgment where errors are severe. Some tasks are severe if wrong. Knowing when not to trust an output matters more there than speed.
- Signing off under your license. Some tasks need a licensed, certified or sworn person to do or sign them. The license, and the judgment it stands for, stays with the person.
- Reviewing work you did not do yourself. The tasks under What becomes checking the machine, where a mistake costs something, stay a person's to check or sign: spotting what a draft gets wrong is a skill of its own.
- Running AI inside the business systems. About 13% of the time is work inside business systems, which a model can do only once it is connected: knowing the systems well enough to set that up and watch it.
Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).
The tasks
Sorted by . 16 tasks from .
| Task | ||||
|---|---|---|---|---|
| Prepare patient, sterilize or disinfect instruments, set up instrument trays, prepare materials, or assist dentist during dental procedures.Preparing the room and the patient and handing instruments through the procedure.Done hourly or more by most who do it. Robots: no robot shown. Anthropic's rating. | 26% | 38 min17 min to 1.3 h | Hands-on 100% | Stays with people |
| Clean teeth, using dental instruments.Scaling and polishing at the chair.Done hourly or more by most who do it.Robots: no robot shown. Anthropic's rating. | 8% | 38 min17 min to 50 min | Hands-on 100% | Stays with people |
| Fabricate temporary restorations or custom impressions from preliminary impressions.Fabricating temporaries and custom trays by hand.Done daily by most who do it. Robots: in a purpose-built cell, CEREC Primemill with Ivoclar Telio CAD PMMA blocks (Dentsply Sirona / Ivoclar) (sold). Anthropic's rating. | 8% | 38 min17 min to 1.7 h | Hands-on 100% | Stays with people |
| Expose dental diagnostic x-rays.Positioning the patient and the sensor and taking the image.Done hourly or more by most who do it. Robots: no robot shown. Anthropic's rating. | 7% | 10 min4 min to 21 min | Hands-on 100% | Stays with people |
| Assist dentist in management of medical or dental emergencies.Hands-on help at the chair when something goes wrong.Done daily by most who do it. Robots: no robot shown. Anthropic's rating. | 6% | 21 min8 min to 50 min | Hands-on 100% | Stays with people |
| Order and monitor dental supplies and equipment inventory.Checking the cabinets and placing the orders.Done more than monthly by most who do it. | 6% | 38 min17 min to 1.7 h | Systems 60%, hands-on 40% | 60%Desk part half by now |
| Fabricate and fit orthodontic appliances and materials for patients, such as retainers, wires, or bands.Forming retainers and wires and fitting them.Done more than weekly by most who do it.Robots: no robot shown. Anthropic's rating. | 5% | 1.1 h25 min to 2.1 h | Hands-on 100% | Stays with people |
| Instruct patients in oral hygiene and plaque control programs.Showing the patient brushing and flossing.Done hourly or more by most who do it. | 5% | 13 min8 min to 21 min | In person 100% | Stays with people |
| Take and record medical and dental histories and vital signs of patients.Asking the patient, taking the readings, and entering them.Done daily by most who do it. Robots: in a purpose-built cell, Pepper social robot (v1.8a, NAOqi 3.9, SoftBank Robotics) PROM interview system (Eindhoven University of Technology / Máxima MC (Netherlands) research team) (demonstrated). Anthropic's rating. | 5% | 13 min8 min to 21 min | Systems 40%, in person 40%, hands-on 20% | 40%Desk part half by now |
| Record treatment information in patient records.Entries in the patient record.Done hourly or more by most who do it. | 5% | 7 min3 min to 13 min | Systems 100% | 100%Half by now |
| Clean and polish removable appliances.Cleaning dentures and retainers by hand.Done hourly or more by most who do it. Robots: in a purpose-built cell, AutoFinish DCPC250 / DCPC500 dental finishing machine (sold). Anthropic's rating. | 5% | 17 min8 min to 33 min | Hands-on 100% | Stays with people |
| Schedule appointments, prepare bills and receive payment for dental services, complete insurance forms, and maintain records, manually or using computer.Entries for appointments, bills and claims, with patients at the desk.Done daily by most who do it. | 4% | 17 min8 min to 38 min | Systems 80%, in person 20% | 80%Desk part half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Dental Assistants is within reach of AI now?
- An estimated 13% of the working time is within reach of AI models now and 13% by the end of 2028, on METR's long-run pace at four in five. Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Dental Assistants come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Chart treatment (100% of the task's time now); Handle scheduling, billing and insurance (80% of the task's time now); and Order and track dental supplies (60% of the task's time now).
- Which tasks of Dental Assistants stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Set up and assist chairside; Clean teeth; and Make temporary restorations. Together such tasks are about 81% of the working time, and the people and body parts of the other tasks stay with people too.
- What should Dental Assistants learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are the hands-on craft; judgment where errors are severe; and signing off under your license. By the end of 2028 on the long-run pace at four in five, about 87% of the working time stays with people, 10% becomes checking a model's work and 3% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
- Do people already use AI for the work of Dental Assistants?
- In the Claude.ai conversations Anthropic sampled for May 2026, no reportable share went to this job's tasks. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 0%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Dental Assistants?
- Anthropic's robot exposure rating (September 2026) finds 75% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 10% of the working time. Its index is 0.10 of 3. One example: CEREC Primemill with Ivoclar Telio CAD PMMA blocks for "make temporary restorations". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 16 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on September 30, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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