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.
#571 / 743
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?
Reliability engineer
27%
#176 / 743
View rankingReliability engineer
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 |
|---|---|---|---|
Data, MTBF and the Pareto.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Failure, the cause and not patching twice.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Spare, the critical and not hiding it.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
RCM, the plan and the one that is not done.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Production, the rush and not running the tired one.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not drop at three, and not hiding the spare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- MTBF
- Pareto
- root causes
- critical spares
- RCM
- failures
- maintenance plans
- not patch twice
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141