Will AI replace Orthodontists?
Healthcare Practitioners and Technical · O*NET 29-1023.00
Task exposure index for this occupation
Averaged across the week, this work sits in the middle of the exposure scale: a real part of it is already automatable and a real part is not. O*NET breaks Orthodontists into 12 distinct work activities. Weighted by how much of the week each one takes, 36% of the job sits at or above the threshold where current systems can do the task end to end. The single largest contributor is "Record patient medical histories", which scores 95 and takes roughly 9% of the week. That is the average for the job title. It is not a measurement of any particular person’s week, and the difference between the two is usually larger than the difference between job titles.
Model v1.2 · activity indices last updated 18 August 2026
What this occupation does
Examine, diagnose, and treat dental malocclusions and oral cavity anomalies. Design and fabricate appliances to realign teeth and jaws to produce and maintain normal function and to improve appearance.
The most exposed parts of the job
Scored 0–100 on how completely a current system could perform the activity.
- Record patient medical histories.95
About 9% of a typical week
- Analyze patient data to determine patient needs or treatment goals.86
About 9% of a typical week
- Communicate detailed medical information to patients or family members.68
About 9% of a typical week
- Confer with clients to discuss treatment plans or progress.68
About 5% of a typical week
- Design medical devices or appliances.62
About 4% of a typical week
The least exposed parts
The same scale. These are the activities current systems handle worst.
- Adjust dental devices or appliances to ensure fit.16
About 19% of a typical week
- Fabricate medical devices.16
About 4% of a typical week
- Train medical providers.34
About 9% of a typical week
- Examine mouth, teeth, gums, or related facial structures.34
About 9% of a typical week
- Diagnose dental conditions.38
About 9% of a typical week
How far off the rest is
Of those 12 activities, 2 can be performed by systems available today and 4 are outside what current approaches do at all. The remaining 6 sit in between — demonstrated in research or in narrow products, but not something you can hand over whole. We do not put dates on that middle group, because nobody can.
Compared with similar occupations
The nearest scoring roles in Healthcare Practitioners and Technical.
- Orthodontists (this page)47
- Cytogenetic Technologists47
- Nurse Practitioners47
- Clinical Nurse Specialists47
Why your own number is different
Two people with the title "Orthodontists" can spend their weeks on almost entirely different parts of this list, and the parts they choose move the number far more than the title does. Who signs off when the work is wrong, whether the job needs you physically present, and how fast you have picked up the tools all change it again — and none of that is in an occupation average.
The assessment asks you to divide your own week across these activities and answer fourteen questions about the parts of the job an occupation average cannot see. It takes six to nine minutes.
Score my own roleFree to take. The full report is a paid subscription — the price and its terms are on the pricing section, before you start.
Questions
Will AI replace Orthodontists?
We do not answer that, because nobody can. What is measurable is how much of the work is already doable by machine: for Orthodontists, about 36% of a typical week, across 12 activities. The other 64% is not, and what happens to the job depends on things this index does not contain — cost, regulation, who carries the liability, and what the people doing it decide to do next.
What part of this job is most exposed?
"Record patient medical histories" — it scores 95 out of 100 on task automatability and takes roughly 9% of the week.
What part is least exposed?
"Adjust dental devices or appliances to ensure fit", at 16 out of 100. Work like that is where the hours you protect tend to be worth the most.
Where do these numbers come from?
The activity list and the time weights come from O*NET 30.3, the US Department of Labor's occupational database. The exposure score for each activity is ours, from a published model — the weights, the priors and the limitations are all on the methodology page. No language model is involved in the arithmetic.
Does this apply to my job?
Only roughly. This is the average for the title, and the number that matters is the one for the week you actually work. The assessment asks you to divide your own time across these activities and answer fourteen questions about accountability, the parts of the job that need you specifically, and how fast you have adapted. That produces a different number, and usually a more useful one.
The full model — the weights, the priors and what it cannot see — is on the methodology page.