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?
Data architect
28%
#83 / 623
View rankingData architect
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 |
|---|---|---|---|
Models, lineage and the catalogue.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Pipelines, quality and the data contract.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The analyst who finds nothing and the mess.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Privacy, retention and the field you cannot keep.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The business, shadow IT and not building another lake.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it gets used, and not letting raw data rot.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model data
- lineage
- data catalogue
- data contracts
- pipeline quality
- retention
- data lakes
- privacy
Sources for this job· O*NET 15-1243.00· ESCO/ISCO 2511