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?
Hearing aid technician
24%
#281 / 633
View rankingHearing aid technician
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 |
|---|---|---|---|
Audiometry, thresholds and the fitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Take the mould, trial and the one who hates the whistle.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Program, verify and retune the aid.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Repair, batteries and aftercare.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Explain, family and the stigma of the device.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That they actually hear, and not taking the aid back.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- fit hearing aids
- take earmoulds
- audiometry
- program aids
- verify gain
- repair aids
- hearing thresholds
- aftercare
Sources for this job· O*NET 29-2092.00· ESCO/ISCO 3214