Automation index
How much of a Dentist’s job can AI already do?
Today an AI can already prep materials, sort notes, and write a first summary. The class, the source, and the patient still need someone in the room.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Dentist
24%
AI can already do 24% of this job.
#262 / 633
View rankingDentist
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Use masks, gloves, and safety glasses to protect patients and self from infectious diseases.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 12% | +1.3 |
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.EstimateNo public source provides a precise figure. This is our estimate. | 10% | 28% | +2.8 |
Use dental air turbines, hand instruments, dental appliances, or surgical implements.EstimateNo public source provides a precise figure. This is our estimate. | 10% | 28% | +2.8 |
Administer anesthetics to limit the amount of pain experienced by patients during procedures.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 12% | +1 |
Diagnose and treat diseases, injuries, or malformations of teeth, gums, or related oral structures and provide preventive or corrective services.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 28% | +2 |
Advise or instruct patients regarding preventive dental care, the causes and treatment of dental problems, or oral health care services.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 12% | +0.8 |
Formulate plan of treatment for patient's teeth and mouth tissue.EstimateNo public source provides a precise figure. This is our estimate. | 7% | 12% | +0.8 |
Analyze or evaluate dental needs to determine changes or trends in patterns of dental disease.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 48% | +2.9 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 34% | 28% | +9.5 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- cosmetic dental procedures
- surgery
- dentistry science
- clinical disciplines in dentistry
- mouth anatomy
- anaesthetics
- perform oral health diagnosis
- rehabilitate worn dentition
- lead the dental team
- provide periodontal treatment
Sources for this job· O*NET 29-1021.00· ESCO/ISCO 2261
IS WORK OVER?
Station master
23%
#302 / 633
View rankingStation master
Where the time goes
Task weights are our estimates based on O*NET frequency data, not time shares published by O*NET.
The time saving for each task is estimated separately.
| Task | Share | AI | Points |
|---|---|---|---|
Graph, orders and the station log.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Platforms, the crossing and the late train.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Staff, shifts and the ticket-office gap.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Incident, passengers and the PA.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Works, closures and leaving nobody on the platform.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they do not meet, and signing the graph.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- train graph
- orders
- platforms
- ticket office
- PA
- line crossings
- station shifts
- station logs
Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323