Automation index
How much of a Parts clerk’s job can AI already do?
An OEM code comes earlier. Giving the part that fits, not the lookalike, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Parts clerk
28%
AI can already do 28% of this job.
#114 / 623
View rankingParts clerk
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 |
|---|---|---|---|
Catalogue, equivalents and the code.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Counter, the waiting shop and the doubt.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Stock, urgent orders and the one that is late.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Returns, warranties and the wrong part.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The mechanic, the blurry photo and not selling blind.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
The one that fits, not the lookalike.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
- parts catalogue
- OEM equivalents
- shop counter
- urgent orders
- returns
- part warranties
- parts stock
- part codes
Sources for this job· O*NET 41-2022.00· ESCO/ISCO 4321
IS WORK OVER?
Development cooperation officer
26%
#212 / 623
View rankingDevelopment cooperation officer
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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.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
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635