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

Mobile developer

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
Screens, API and offline state.
Estimate

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

18%52%+9.4
Store review, crashlytics and ANRs.
Estimate

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

16%40%+6.4
Real device, the notch and fragmented Android.
Estimate

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

16%22%+3.5
CI, tests and the week's release.
Estimate

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

16%28%+4.5
Product, the redesign and not breaking what people use.
Estimate

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

18%14%+2.5
That it does not crash, and not ignoring the one-star.
Estimate

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

16%12%+1.9
Total100%28%

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

Skills and activities

  • build apps
  • ship to stores
  • crashlytics
  • offline state
  • ANRs
  • mobile tests
  • fragmented Android
  • store review

Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514

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