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?
Hydraulic engineer
27%
#164 / 623
View rankingHydraulic 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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.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
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142