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

Parking attendant

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
Barriers, tickets and the count.
Estimate

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

16%40%+6.4
The one who cannot find the car and the one who will not pay.
Estimate

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

18%14%+2.5
Incidents, the down barrier and the jam.
Estimate

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

16%28%+4.5
Shift, cash and cashing up.
Estimate

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

16%32%+5.1
The event, the full house and not blocking the street.
Estimate

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

18%18%+3.2
Run the car park, and not wrecking the lost-ticket person.
Estimate

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

16%12%+1.9
Total100%24%

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

Skills and activities

  • barriers
  • parking tickets
  • space count
  • cashing up
  • stuck barrier
  • events
  • lost cars
  • exit jam

Sources for this job· O*NET 33-9091.00· ESCO/ISCO 5414

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