Automation index
How much of a Aid worker’s job can AI already do?
A logframe comes earlier. Being there when it goes wrong, and doing no harm, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Aid worker
23%
AI can already do 23% of this job.
#292 / 633
View rankingAid worker
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 |
|---|---|---|---|
Forms, logframe and the indicators.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
The field, local partners and what the spreadsheet misses.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Donor reports and the paperwork.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Security, evacuation and the call to stay.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Community, conflict and not replacing the local.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Do no harm and owning the project.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 23% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- logframe
- field work
- justify projects
- local partners
- mission security
- aid indicators
- donor reports
- do no harm
Sources for this job· O*NET 21-1093.00· ESCO/ISCO 2635
IS WORK OVER?
Climatologist
27%
#140 / 633
View rankingClimatologist
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 |
|---|---|---|---|
Series, homogenise and the gap.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Models, scenarios and the uncertainty.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Report, the headline and not selling the easy one.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Field, the station and the one that moves.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The politician, the figure and not staying quiet.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Attribute, and not selling the headline.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
- climate series
- homogenise
- scenarios
- uncertainty
- headlines
- stations
- climate reports
- attribution
Sources for this job· O*NET 19-2021.00· ESCO/ISCO 2112