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?
Last-mile manager
26%
#211 / 623
View rankingLast-mile manager
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 |
|---|---|---|---|
Zones, capacity and route cuts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
KPIs, first attempt and incidents.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The courier, the lobby and the one who will not open.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Peaks, rain and hiring too many or too few.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The angry customer and not dressing delivered.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Cover the peak, and not leaving the neighbourhood orphaned.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
- delivery zones
- first attempt
- delivery KPIs
- last-mile peaks
- lobbies
- delivery incidents
- courier capacity
- cut routes
Sources for this job· O*NET 11-3071.00· ESCO/ISCO 1324