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.
#297 / 643
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?
Clinical research associate
27%
#172 / 643
View rankingClinical research associate
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 |
|---|---|---|---|
Protocol, CRF and the monitoring visit.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 48% | +8.6 |
Source, the gap and the one that does not fit.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
Adverse event, the deadline and not delaying.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Consent, the signature and the one who did not understand.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The sponsor, the audit and not dressing the figure.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Audit, and not leaving a made-up figure.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
- CRF
- monitoring
- adverse events
- informed consent
- source data
- trial audits
- clinical protocols
- site visits
Sources for this job· O*NET 11-9121.00· ESCO/ISCO 2131