How Many Dental Practices Use AI? The Global Data Gap, Country by Country

Research cutoff: September 4, 2026. Phone-evidence follow-up: September 5, 2026.

This review did not find a reliable global dental AI adoption rate. The available studies measure different people, tasks, and periods. A country percentage needs that context before it can guide a clinic decision.

A dentist might use AI to review an X-ray. A practice manager might use it to draft a patient message. Another clinic might use an AI receptionist to answer calls after closing. All three could say they use AI. Their costs, goals, and daily routines could be quite different.

Our review covered 32 market entries, including Dubai within the UAE. We found one strong national benchmark for use of AI across a range of tasks: the United States. Most other markets had a narrow survey result or no suitable rate in the evidence we found.

For a practice owner, the useful question is more specific: which task could AI help with, and what evidence would show that it helps?

In this guide: National benchmark, country evidence, clinical and operations AI, clinic checklist, and method and data.

What percentage of dentists use AI in 2026?

The strongest national benchmark found was 43.3% in the US. It covers responding private-practice dentists using AI for at least one task.

The American Dental Association's Health Policy Institute reported the 43.3% figure in mid-2026. Another 26.4% of respondents planned to use AI in the future. These are separate groups. Planned use does not count as current use. Source: ADA HPI.

The US result is useful because it asks about actual use within dental practices. It still describes survey respondents, rather than a census of every dentist. The ADA methods report confirms 552 private-practice respondents. Invitations went out on June 15, 2026. The sample leaned toward ADA members, owners, and mid-to-late-career dentists, among other groups. It does not perfectly match the wider dentist population.

It also counts use for any surveyed task. A clinic using one AI feature may qualify. The figure does not tell us how often that feature is used, how well it works, or whether the clinic saves money.

The task matters as much as the headline

In the same ADA report, 22.8% of respondents used AI for imaging and diagnostics. Insurance checks accounted for 13.6%, while reception or front-desk check-in accounted for 10.1%. These groups may overlap. Adding the task rates together would overcount dentists who use more than one tool. Source: ADA HPI.

Reception or check-in AI can include tools other than phone agents. The 10.1% figure is not a measure of AI voice-agent use.

A practice can use clinical AI while still sending missed calls to voicemail. A broad adoption rate cannot show whether a particular front-desk problem has been solved.

Why the country figures do not form a ranking

The studies count different people, tasks, and periods. Their results cannot show which country leads without a common survey method.

The Australian survey shows why the task matters. A survey of 414 dental practice decision-makers found that 12% used AI for appointment scheduling. The fieldwork took place in late 2023 and the report was published in 2024. That is a rate for one task. It cannot be used as Australia's overall dental AI adoption rate or its AI phone-agent rate. Source: CommBank and Australian Dental Association.

Canada's 11% figure covers AI for administrative tasks. It comes from readers who chose to answer a publication's survey. The sample size was not disclosed in the evidence reviewed. It is a useful view of those readers, with limited reach beyond them. Source: Oral Health.

The UK has a different limit. Oral Health reports 32% use in a survey of 300 licensed dentists across the US, Canada, and UK. Its report gives no country split. We could not recheck the underlying Dental Reviewed report. Treat this as a secondary report of a pooled sample. Source: Oral Health.

Before comparing any two figures, check four things:

1. Who answered? A dentist, a practice owner, and a surgical trainee are different groups.
2. What counted? Current use, weekly use, a trial, and plans to buy are different measures.
3. Which task? One scheduling feature is narrower than any use of AI.
4. When was it measured? The year of fieldwork can differ from the year on the article.

What we found across 32 market entries

This table shows the evidence found by September 4, 2026. Missing rates mean a suitable measure was not found, never that AI use is zero.

The national-rate column refers to current use of AI across tasks. Narrow findings sit in a separate column with their limits. Dubai is included because it was a named research target. It is part of the UAE, so the table should not be described as a study of 32 countries.

A limited proxy is a related finding that helps describe one group or task. It cannot supply the missing national rate.

Sources for the table above:

• United States, ADA Health Policy Institute.
• Australia, CommBank Dental Insights.
• Canada, Oral Health Group and Data Driven Dentistry.
• Pooled US, Canada, and UK survey.
• Singapore specialty study.
• Saudi Arabia multi-region dentist study.
• Germany regional practice-owner study.
• Switzerland study and abstract.
• Netherlands acceptability study.

What counts as clinical or operations AI?

Separate tools that support care from tools that run the office. A practice can use one type while doing every task in the other group by hand.

For this guide, current use means a respondent reports using AI now. A trial, a plan to buy, and interest in a tool are recorded separately. Each source's own question still governs its result.

The US task findings come from ADA HPI. The scheduling result comes from CommBank and the Australian Dental Association. No task percentage measures product quality or return on investment.

How many dental practices use AI phone agents?

Our September 5 follow-up found no national survey that represents dental practices and measures live AI phone-agent use. Scheduling and front-desk AI figures do not answer that question. They can include tools that never speak with a caller.

Dental Tech Hub reports 40% AI phone-answering use in a survey with 67 dental professionals overall. People chose to take part. The report says not everyone answered every question, so 67 is not a confirmed base for the phone item. It gives no country split. Source and method: Dental Tech Hub.

For a phone-use study, count a live tool that listens to callers and speaks a response. Record tests and planned use separately. Online booking, voicemail, call routing, and call transcripts alone do not establish this kind of AI use.

What the smaller studies can tell a clinic owner

Small studies can reveal useful questions about how AI is used. Their findings apply to the people surveyed and need that context attached.

Singapore: a specialty sample

A study published in 2025 drew on 48 oral and maxillofacial surgery specialists and trainees in Singapore. In that sample, 62.5% had not incorporated AI into clinical practice. The remaining 37.5% had. The survey ran from October 7 to November 15, 2024. Source: Frontiers in Oral Health.

This tells us about one small surgical group. It cannot estimate use across all Singapore dentists, or demand for an AI receptionist.

Saudi Arabia: occasional and regular use differ

In a multi-region sample of 375 practising dentists, 55.7% reported occasional AI use and 5.6% reported regular use. A further 38.7% reported no use. Data was collected from April to August 2024. The recruitment method does not establish a sample selected to represent dentists nationally. Source: Open Dentistry Journal.

For owners, the useful distinction is frequency. Trying a tool and making it part of daily work are separate stages. These figures alone cannot explain the gap or show that either group achieved better results.

Germany and Switzerland: different questions, limited samples

The German result asks about prior contact with AI in practice. It covers owners in one federal state. Prior contact cannot be converted into a current-use rate. The Swiss abstract reports 114 analysed responses from 1,121 invited dentists. Its weekly-use result describes those respondents. It does not establish a national rate.

Neither figure establishes how widely clinics have adopted a specific operational tool. The source links and scope are recorded in the table above.

Which claims did we exclude?

We excluded figures based on simulated data, unsupported national claims, and pooled results presented as rates for individual countries.

We excluded these types of claim:

• A 60% adoption claim: the paper used simulated data. It cannot establish how many real dentists use AI. Source paper.
• Unsupported national claims: a percentage needs a traceable survey and a clear respondent group.
• Unsupported global claims: a global rate needs a clear method across countries.
• Mixed robotics and AI measures: a result that combines both in a specialist group cannot establish general dental AI use.

A product launch, hospital pilot, or vendor partnership can show activity. It cannot tell us the share of dental practices using AI. The same limit applies to a study of interest in buying a tool.

These exclusions describe this review. They are not proof that no other valid study exists. New evidence could change the picture.

A quick check for statistics in search results

Use these questions before repeating a headline. They are a reading aid, not a scientific quality score.

How to use the findings in your own practice

Choose one costly or slow task, record how it works today, and test a change. Judge the result using staff time, service quality, and cost.

A national percentage can help you understand the market. Your own records are more useful when deciding whether to buy a tool for a specific job.

For a dentist owner, that may mean fewer hours spent on routine admin. For an office manager, it may mean fewer calls waiting for a callback. A specialty clinic may need a clearer way to capture consultation requests and pass them to the right person.

The dental percentages in this article cannot be transferred to plastic surgery, med spas, or other specialties. The practical method below can still help those clinics assess their own needs.

1. Choose one task. Define the problem and its limits. For example: record after-hours appointment requests and send them to staff for follow-up.
2. Record the starting point. Count requests, response times, staff time, and errors over a period that reflects normal work. Include busy days.
3. Set a clear target. Decide what improvement would justify the cost. Name the staff member who will review results and handle exceptions.
4. Run a small test. Check that the tool handles the agreed task. Review mistakes and missed handoffs. Choose the test length based on call volume and the time needed to see outcomes.
5. Compare the full result. Count software fees, setup work, review time, and any rework. Our dental AI receptionist cost guide explains which costs to compare. Keep or expand the test only if the gains meet your target without lowering service quality.

Clinical AI needs its own assessment. A national use rate does not establish clinical safety or accuracy. For any tool that handles patient information, check its intended use and data terms before a trial.

Attainment helps dental and specialty clinics assess AI automation to reduce routine work and support growth. The starting point is a defined task and a clear business case. Our dental AI receptionist page explains one area to assess: calls and appointment requests. See how the call and staff handoff works before deciding whether it fits your practice.

Could Attainment build a better dental AI benchmark?

A recurring survey could track the same tasks and definitions over time. Attainment could support this research, but no survey is announced.

The evidence gap creates a useful research opportunity. A well-designed survey could help owners see how use changes across practices and markets.

It would need a common set of questions:

• Is the tool in current use, being tested, or only being considered?
• How often is it used, and for which task?
• Does one person use it, or is it part of the practice's normal work?
• Does it handle patient data?
• What changed in cost, staff time, or service quality?

The survey would also need a clear sampling method and enough responses in each market. It should publish field dates, response counts, and limits. Repeating those questions would make change easier to measure.

Attainment could sponsor or help develop this work. That is an opportunity to assess, rather than an existing research programme.

Commercial priority would remain a separate decision. A market's clinic count, ability to pay, and buyer access can shape where a company sells. Those factors do not establish its AI adoption rate.

Method, data files, and updates

The evidence registry keeps each result with its source, sample, task, and date. Unknown fields stay blank and are explained in the method.

This is a review of published evidence, not a new survey of dentists. It separates national findings from narrow task measures and limited samples. Reports repeating the same study count as one underlying source.

The evidence table records 32 market entries. Dubai overlaps the UAE. "No suitable rate found" means a suitable rate was not found in this review. It does not prove that no valid study exists or that AI use is low.

The evidence registry records sources and limits. Exact survey wording remains unknown where we could not inspect the questionnaire. Finding labels in the table are summaries, not verbatim questions. The UK pooled result remains a secondary report. The Swiss abstract was checked, but full-text methods still need a recheck.

The publisher later dated Canada's reader survey to late 2025. Exact field dates and sample size remain unknown. Source: Oral Health's May 2026 report.

September 5 follow-up: added phone-agent evidence and its limits. Rechecked the Swiss abstract and Canada's reported field period. The table still covers evidence identified by September 4. These checks do not change its coverage counts.

Version 1, September 4, 2026: initial evidence registry and article draft. Later versions should record the source added, what changed, and why. A new publication date alone should not change the article's evidence date.

Key takeaways

Use each figure with its task, sample, and date. The evidence supports a careful view of adoption and a focused test inside your own clinic.

• The strongest national any-AI benchmark found was the US result: 43.3% of responding private-practice dentists in mid-2026.
• Australia's 12% measures AI appointment scheduling in late 2023.
• The other reported figures describe limited samples, specific questions, or pooled markets.
• Missing evidence never means zero use or an untapped market.
• A clinic's decision should rest on the task, total cost, and measured outcome.

Frequently asked questions

The key questions are what each figure counts, where the evidence is missing, and how a clinic can judge an AI tool using its own results.

Is there a global dental AI adoption rate?

This review did not find a sound, comparable global rate. The studies used different samples, tasks, and dates. Combining their percentages would produce a misleading number.

Does 43.3% mean nearly half of all US practices use AI?

The ADA figure refers to responding private-practice dentists using AI for at least one surveyed task. Dentists and practices are different units. Quote the respondent group alongside the rate.

Is Canada's dental AI adoption rate 11%?

The 11% refers to administrative AI use among readers who answered a survey. It is not a representative national measure of all dental AI use.

Is Australia's dental AI adoption rate 12%?

The 12% measures AI appointment scheduling in a national practice survey. It does not cover every AI task.

What is the rate in Dubai or the UAE?

No suitable dental current-use rate or proxy was found in the reviewed evidence. Dubai is part of the UAE. Neither entry should be shown as zero adoption.

Should a clinic wait for better market data?

Better market data can add context. A clinic can still assess a narrow use case now by measuring its current process, setting a target, and reviewing a small test.

Has Attainment launched its own adoption survey?

No. This article describes a possible research contribution. A survey would need a separate plan, sampling method, and launch decision.