IS WORK OVER?

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

Development 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.

TaskShareAIPoints
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
Total100%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

Miller

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.

TaskShareAIPoints
Wheat, moisture and the diagram.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Mill, sift and the one that heats.
Estimate

No public source provides a precise figure. This is our estimate.

18%14%+2.5
Quality, ash and the baker who complains.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Cleaning, pests and the silo.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The harvest, the batch and not mixing the wet.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Regular flour, and not scorching the grain.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

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

Skills and activities

  • mill wheat
  • sift
  • grain moisture
  • ash
  • silos
  • mill pests
  • mill diagrams
  • flour batches

Sources for this job· O*NET 51-9021.00· ESCO/ISCO 8160

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