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
IS WORK OVER?
NGO programme officer
26%
AI can already do 26% of this job.
#213 / 633
View rankingNGO 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.
| Task | Share | AI | Points |
|---|---|---|---|
Design, indicators and the report.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Justify, invoices and the donor.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Field or neighbourhood and what does not fit the frame.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Partners, meetings and coordination.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The surprise, the cut and redoing the timetable.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That it works, and not inflating the indicator.EstimateNo 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
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
IS WORK OVER?
Parking attendant
24%
#260 / 633
View rankingParking 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.
| Task | Share | AI | Points |
|---|---|---|---|
Barriers, tickets and the count.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Incidents, the down barrier and the jam.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Shift, cash and cashing up.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
The event, the full house and not blocking the street.EstimateNo 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.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 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