IS WORK OVER?

Automation index

How much of a NGO programme officer’s job can AI already do?

A report and an indicator come earlier. The project existing outside the slide deck do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

NGO programme 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
Design, indicators and the report.
Estimate

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

16%48%+7.7
Justify, invoices and the donor.
Estimate

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

16%36%+5.8
Field or neighbourhood and what does not fit the frame.
Estimate

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

18%16%+2.9
Partners, meetings and coordination.
Estimate

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

16%28%+4.5
The surprise, the cut and redoing the timetable.
Estimate

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

18%18%+3.2
That it works, and not inflating the indicator.
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

  • design projects
  • justify to donors
  • indicators
  • activity report
  • coordinate partners
  • timetable
  • project invoices
  • neighbourhood work

Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2635

Shepherd

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
Route, grazing and the day’s log.
Estimate

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

16%28%+4.5
Flock, dogs and the wolf.
Estimate

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

24%6%+1.4
Shearing, lambing and the one that stays.
Estimate

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

16%22%+3.5
Cheese, milk and dealing with the dairy.
Estimate

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

16%28%+4.5
The hill, the snow and not missing the pass.
Estimate

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

14%18%+2.5
The whole flock, and not leaving one behind.
Estimate

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

14%10%+1.4
Total100%18%

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

Skills and activities

  • run the flock
  • sheepdogs
  • lambing
  • shearing
  • the wolf
  • passes
  • ewe’s milk
  • hill grazing

Sources for this job· O*NET 45-2093.00· ESCO/ISCO 6121

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