AI exposure: Orthodontists
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.
Reading this score
computedAt 14.0% of weighted task load, Orthodontists sits at the 22th percentile, below the point where a job's centre of gravity has moved. 59.1% of what this role does is untouched, meaning current systems cannot produce that work at all, whatever the commercial incentive.
What holds the line here is accountability. Across this occupation's 11 tasks it averages 2.82 out of 3, the highest of the five friction dimensions. In plain terms, someone licensed has to sign the work. Capability and permission are different things. Where a statute or a professional body requires a named, liable human to approve the output, the work can be drafted by a machine and still require the person.
The most exposed thing this job does is Prepare diagnostic and treatment records, at 53.3%. The least is Adjust dental appliances to produce and maintain normal function, at 0.0%. A gap of 53.3% between two parts of the same job is the reason this index publishes at task level. An occupation-wide number would have hidden both.
Within healthcare practitioner and technical occupations, this one is less exposed than the median of 18.5% across the group's 89 roles, with 66 scoring higher. Being in an exposed family does not make a particular job exposed, and the reverse holds too.
What would move this score. Of 11 tasks, 1 are currently banded exposed, 5 assisted and 5 untouched. For that distribution to shift materially would take a change in who is permitted to sign the work, which is a question for regulators rather than for engineers. The score is re-computed every quarter against a fresh capability reference, and the change is published rather than quietly applied.
Where the score comes from
judgedEvery task is scored through the standardised work activities it maps to. These are this occupation’s averages on the six rubric dimensions. Capability is what AI can do; the other five are what stands in the way.
| Dimension | Mean | Scale |
|---|---|---|
| Capability | 1.64 | 0-4 |
| Embodiment | 1.45 | 0-3 |
| Presence | 2.05 | 0-3 |
| Accountability | 2.82 | 0-3 |
| Context | 1.91 | 0-3 |
| Verification cost | 2.64 | 0-3 |
Task by task
11 tasks, O*NET 31.0| Task | Exposed | Assisted | Untouched | Importance | Band |
|---|---|---|---|---|---|
| Prepare diagnostic and treatment records. | 53.3% | 46.7% | 0.0% | 4.77 | exposed |
| Study diagnostic records, such as medical or dental histories, plaster models of the teeth, photos of a patient's face and teeth, and X-rays, to develop patient treatment plans. | 30.0% | 45.0% | 25.0% | 4.90 | assisted |
| Provide patients with proposed treatment plans and cost estimates. | 13.3% | 36.7% | 50.0% | 4.80 | assisted |
| Advise patients to comply with treatment plans. | 13.3% | 36.7% | 50.0% | 4.77 | assisted |
| Coordinate orthodontic services with other dental and medical services. | 13.3% | 36.7% | 50.0% | 4.62 | assisted |
| Diagnose teeth and jaw or other dental-facial abnormalities. | 10.0% | 40.0% | 50.0% | 4.93 | assisted |
| Design and fabricate appliances, such as space maintainers, retainers, and labial and lingual arch wires. | 9.2% | 15.8% | 75.0% | 4.52 | untouched |
| Examine patients to assess abnormalities of jaw development, tooth position, and other dental-facial structures. | 6.7% | 18.3% | 75.0% | 4.93 | untouched |
| Instruct dental officers and technical assistants in orthodontic procedures and techniques. | 5.0% | 20.0% | 75.0% | 4.76 | untouched |
| Fit dental appliances in patients' mouths to alter the position and relationship of teeth and jaws or to realign teeth. | 0.0% | 0.0% | 100.0% | 4.90 | untouched |
| Adjust dental appliances to produce and maintain normal function. | 0.0% | 0.0% | 100.0% | 4.90 | untouched |
Task text and importance ratings sourced from O*NET 31.0. Shares computed. The occupation score is the importance-weighted mean.
Occupations either side of this one
The four closest scores in the same occupational family, then the four closest anywhere in the index.
Read this carefully. Exposure is not displacement. A high score means current AI systems can produce this work, not that anyone will stop paying a person to do it. Adoption depends on economics, regulation and inertia that this index deliberately does not model. How the score is built.
What this means in practice
Most of this work is not reachable by current systems, so the immediate pressure is on the administrative edges of the role rather than its core: the scheduling, the reporting, the written records. That is where time is recovered.