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?

18%

#580 / 633

Taxi driver

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
Navigate, take payment and log shifts. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Find the passenger and read the city. Estimate No public source provides a precise figure. This is our estimate.	16%	12%	+1.9
Drive safely in all kinds of traffic. Estimate No public source provides a precise figure. This is our estimate.	22%	8%	+1.8
Care, luggage and passenger languages. Estimate No public source provides a precise figure. This is our estimate.	16%	15%	+2.4
Car maintenance and shifts. Estimate No public source provides a precise figure. This is our estimate.	16%	18%	+2.9
Licences, radio and zone knowledge. Estimate No public source provides a precise figure. This is our estimate.	14%	22%	+3.1
Total	100%		19%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low