Automation index
How much of a Notary clerk’s job can AI already do?
A deed draft and an index come earlier. Protocolising, copying and not getting a fact wrong do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Notary clerk
28%
AI can already do 28% of this job.
#110 / 623
View rankingNotary clerk
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 |
|---|---|---|---|
Prepare minutes, copies and appearances.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Cross indexes, ID and registry bases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Serve the public and summon appearing parties.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 22% | +4 |
Protocol, binding and notarial archive.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Settle taxes and file at the registry.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Watch deadlines, signatures and the notary’s faith.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
- Prepare minutes, copies and appearances
- Cross indexes, ID and registry bases
- Protocol, binding and notarial archive
- Settle taxes and file at the registry
- oficial de notaria
- oficial notarial
- notary clerk
Sources for this job· O*NET 23-2011.00· ESCO/ISCO 3343
IS WORK OVER?
Epidemiologist
31%
#34 / 623
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