Automation index
How much of a Dry cleaner’s job can AI already do?
A stain card comes earlier. Lifting the stain without eating the colour do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Dry cleaner
22%
AI can already do 22% of this job.
#360 / 633
View rankingDry cleaner
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 |
|---|---|---|---|
Card, fibre and pretreatment.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Machine, solvent and the delicate garment.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Press, the finish and the one that marks.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Job, the groom and the one who wants it now.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The old stain and not promising miracles.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Lift the stain, and not eating the colour.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- pretreat stains
- solvents
- press
- delicates
- job cards
- finish
- fibres
- old stains
Sources for this job· O*NET 51-6011.00· ESCO/ISCO 9121
IS WORK OVER?
Cartographer
31%
#31 / 633
View rankingCartographer
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 |
|---|---|---|---|
Sources, OSM, satellite and generalisation.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Symbology, type and visual hierarchy.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Projections, scales and getting the heights right.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Review with the client, the field and the lie in the data.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Print maps, web maps and updates.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Credit, metadata and owning the map.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
- make maps
- generalise cartography
- symbology
- choose projection
- visual hierarchy
- update OSM
- web maps
- maps that do not lie
Sources for this job· O*NET 17-1021.00· ESCO/ISCO 2165