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 / 623
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?
Mobile developer
28%
#92 / 623
View rankingMobile developer
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 |
|---|---|---|---|
Screens, API and offline state.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 52% | +9.4 |
Store review, crashlytics and ANRs.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Real device, the notch and fragmented Android.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
CI, tests and the week's release.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Product, the redesign and not breaking what people use.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
That it does not crash, and not ignoring the one-star.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 12% | +1.9 |
| Total | 100% | 28% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- build apps
- ship to stores
- crashlytics
- offline state
- ANRs
- mobile tests
- fragmented Android
- store review
Sources for this job· O*NET 15-1252.00· ESCO/ISCO 2514