Automation index
How much of a Acupuncturist’s job can AI already do?
A point map and a chart come earlier. Needling, feeling and not puncturing a lung do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Acupuncturist
19%
AI can already do 19% of this job.
#482 / 643
View rankingAcupuncturist
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 |
|---|---|---|---|
History, tongue, pulse and a first map.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Needle, manipulate and remove.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Explain, dose and combine with moxa.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Charts and session progress.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Hygiene, single-use kit and the room.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not over-needling or treating the wrong person.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 20% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- History, tongue, pulse and a first map
- Needle, manipulate and remove
- Explain, dose and combine with moxa
- Charts and session progress
- Hygiene, single-use kit and the room
- acupuntor
- acupuntura
- acupuncturist
Sources for this job· O*NET 29-1291.00· ESCO/ISCO 3230
IS WORK OVER?
Epidemiologist
31%
#34 / 643
View rankingEpidemiologist
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 |
|---|---|---|---|
Surveillance, rates and the outbreak on the map.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Studies, bias and the report for public health.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Surveys, contacts and the case interview.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Committee, the unpopular measure and the press.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Field, the care-home outbreak and dirty data.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Judgement, uncertainty and signing the alert.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 31% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- watch outbreaks
- compute rates
- epi studies
- case interviews
- map epidemics
- public-health measures
- contact tracing
- health alerts
Sources for this job· O*NET 19-1041.00· ESCO/ISCO 2263