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?

26%

AI can already do 26% of this job.

#212 / 633

Development cooperation officer

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. Estimate No public source provides a precise figure. This is our estimate.	16%	48%	+7.7
Follow-up, missions and reports to the agency. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The local partner, the counterpart and the disagreement. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Budget, currency and what stays in management. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The context that shifts and reworking the approach. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Not imposing, and accounting on both sides. Estimate No 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

IS WORK OVER?

26%

#211 / 633

Last-mile manager

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. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No 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. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No 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