Automation index
How much of a Quality engineer’s job can AI already do?
An FMEA and an 8D come earlier. Stopping the supplier and deciding if the batch travels do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Quality engineer
29%
AI can already do 29% of this job.
#63 / 623
View rankingQuality engineer
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 |
|---|---|---|---|
FMEA, control plan and the limits.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
8D, claims and the supplier.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Audit, IATF and the awkward finding.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The line, the defect and stop or not.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
APQP, PPAP and the customer launch.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Release with judgement, and not hiding the PPM.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
- FMEA
- 8D
- control plan
- IATF
- PPAP
- APQP
- supplier claims
- release batches
Sources for this job· O*NET 17-2112.00· ESCO/ISCO 2141
IS WORK OVER?
Statistician
26%
#201 / 623
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 26% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120