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?
Logistics analyst
28%
#79 / 623
View rankingLogistics analyst
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 |
|---|---|---|---|
Costs, OTIF and the dashboard.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Simulate network, warehouses and the what-if.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Ops, dirty data and going down to the dock.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Report, the board and the cut that hurts.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The haulier, the contract and not breaking the service.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
A real saving, and not dressing OTIF.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
- logistics costs
- OTIF
- simulate network
- what-if
- dirty data
- haulage contracts
- dashboards
- network cuts
Sources for this job· O*NET 13-1081.00· ESCO/ISCO 2421