Automation index
How much of a Quality technician’s job can AI already do?
A statistical check and an 8D come earlier. Stopping the line and deciding if the batch ships do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Quality technician
29%
AI can already do 29% of this job.
#71 / 623
View rankingQuality 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 |
|---|---|---|---|
Inspection, measurements and statistical control.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Nonconformities, 8D and corrective actions.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Stop the line, sample and decide the batch.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Internal audits, ISO and traceability.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Suppliers, incoming goods and complaints.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Release judgement and liability for the batch.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- quality control
- measure parts
- release batches
- raise nonconformities
- run 8D
- audit ISO
- sample production
- stop the line
Sources for this job· O*NET 51-9061.00· ESCO/ISCO 7543
IS WORK OVER?
Climatologist
27%
#140 / 623
View rankingClimatologist
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 |
|---|---|---|---|
Series, homogenise and the gap.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Models, scenarios and the uncertainty.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Report, the headline and not selling the easy one.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Field, the station and the one that moves.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The politician, the figure and not staying quiet.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Attribute, and not selling the headline.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- climate series
- homogenise
- scenarios
- uncertainty
- headlines
- stations
- climate reports
- attribution
Sources for this job· O*NET 19-2021.00· ESCO/ISCO 2112