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?
QA tester
38%
#11 / 633
View rankingQA tester
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 |
|---|---|---|---|
Identify, analyze, and document problems with program function, output, online screen, or content.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 55% | +6.6 |
Document software defects, using a bug tracking system, and report defects to software developers.EstimateNo public source provides a precise figure. This is our estimate. | 11% | 55% | +6.1 |
Install, maintain, or use software testing programs.EstimateNo public source provides a precise figure. This is our estimate. | 8% | 28% | +2.2 |
Monitor program performance to ensure efficient and problem-free operations.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Develop testing programs that address areas such as database impacts, software scenarios, regression testing, negative testing, error or bug retests, or usability.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 48% | +2.9 |
Document test procedures to ensure replicability and compliance with standards.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 55% | +3.3 |
Create or maintain databases of known test defects.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 48% | +2.9 |
Provide feedback and recommendations to developers on software usability and functionality.EstimateNo public source provides a precise figure. This is our estimate. | 6% | 28% | +1.7 |
Other less frequent tasks (weight estimated from frequency).EstimateNo public source provides a precise figure. This is our estimate. | 39% | 28% | +10.9 |
| Total | 100% | 38% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- internal risk management policy
- ICT quality policy
- software anomalies
- levels of software testing
- quality standards
- quality assurance methodologies
- ICT process quality models
- set quality assurance objectives
- ensure continuous preparedness for audits
- comply with legal regulations
Sources for this job· O*NET 15-1253.00· ESCO/ISCO 2519