Automation index
How much of a Development cooperation officer’s job can AI already do?
An agreement and a frame come earlier. Aligning with the southern partner and not imposing the project do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Development cooperation officer
26%
AI can already do 26% of this job.
#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
IS WORK OVER?
Forest ranger
18%
#551 / 633
View rankingForest ranger
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 |
|---|---|---|---|
Logs, GIS and penalty files.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Patrol, poaching and fires.EstimateNo public source provides a precise figure. This is our estimate. | 22% | 10% | +2.2 |
Neighbours, shepherds and councils.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Sampling, paths and signage.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Duties, weather and terrain.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
Not arriving late to a column of smoke.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 14% | +2 |
| Total | 100% | 18% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Logs, GIS and penalty files
- Patrol, poaching and fires
- Neighbours, shepherds and councils
- Sampling, paths and signage
- Duties, weather and terrain
- Not arriving late to a column of smoke
- agente forestal
- agente medioambiental
- forest ranger
Sources for this job· O*NET 33-3031.00· ESCO/ISCO 5419