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 / 623
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?
Hydraulic engineer
27%
#164 / 623
View rankingHydraulic engineer
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 |
|---|---|---|---|
Hydrology, flows and the floodplain model.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Field, section and what LiDAR misses.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Drainage works, pumps and the outfall.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Water permits and the river authority.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The flood, the village and the yes to the channel.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not flood, and not trusting the model alone.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 27% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- model floodplains
- flows
- drainage
- channel works
- water permits
- pumps
- channel sections
- river authority
Sources for this job· O*NET 17-2051.00· ESCO/ISCO 2142