Automation index
How much of a Waste technician’s job can AI already do?
A waste code comes earlier. The waste going where it should, not the next bin, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Waste technician
22%
AI can already do 22% of this job.
#392 / 633
View rankingWaste technician
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 |
|---|---|---|---|
Code, characterise and the paper.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Plant, the mix and the one you cannot.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Move, the haulier and the note.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Inspection, the tip and not hiding.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
The producer, the saving and not diluting.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Where it should, not next door.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 22% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- waste codes
- characterise waste
- transfer notes
- the tip
- mixing
- producers
- waste papers
- not dilute
Sources for this job· O*NET 19-4042.00· ESCO/ISCO 2143
IS WORK OVER?
Development cooperation officer
26%
#212 / 633
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