Automation index
How much of a Dental assistant’s job can AI already do?
A booking and a reminder come earlier. Suction, passing and not leaving the patient alone do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Dental assistant
19%
AI can already do 19% of this job.
#480 / 633
View rankingDental assistant
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 |
|---|---|---|---|
Diary, charts and setting the bay.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Suction, pass instruments and isolate.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Care for the patient and explain aftercare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Develop, label and file tests.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Sterilisation, impressions and stock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not infecting anyone and not leaving cotton inside.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- design interfaces
- prototypes
- figma
- Diary, charts and setting the bay
- Suction, pass instruments and isolate
- Care for the patient and explain aftercare
- Develop, label and file tests
- Sterilisation, impressions and stock
- auxiliar de odontologia
- dental assistant
Sources for this job· O*NET 31-9091.00· ESCO/ISCO 5329
IS WORK OVER?
Mobile developer
28%
#92 / 633
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514