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?
Statistician
26%
#201 / 633
View rankingStatistician
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 |
|---|---|---|---|
Model, clean and visualise.EstimateNo public source provides a precise figure. This is our estimate. | 20% | 48% | +9.6 |
Design sample, experiment and biases.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Client, questions and not overfitting.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Reproducibility, code and documentation.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Publication, review and data ethics.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 16% | +2.6 |
Not selling a p-value that does not hold.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
- Model, clean and visualise
- Design sample, experiment and biases
- Client, questions and not overfitting
- Reproducibility, code and documentation
- Publication, review and data ethics
- Not selling a p-value that does not hold
- estadistico
- statistician
Sources for this job· O*NET 15-2041.00· ESCO/ISCO 2120