Automation index
How much of a Weaver’s job can AI already do?
A weave comes earlier. Warping, weaving without breaking the pick do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Weaver
19%
AI can already do 19% of this job.
#552 / 643
View rankingWeaver
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 |
|---|---|---|---|
Warp, weave and the width.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Weave, shuttle and the yarn that snaps.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 8% | +1.8 |
Finish, fringe and the shrink.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Loom, the rhythm and the commissioned piece.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The client, the colour and not changing the warp halfway.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Without breaking the pick, and a clean weave.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 12% | +1.7 |
| Total | 100% | 19% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- warp
- weaves
- shuttle
- looms
- fringe
- the pick
- cloth width
- shrink
Sources for this job· O*NET 51-6062.00· ESCO/ISCO 7318
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