Automation index
How much of a Volunteer coordinator’s job can AI already do?
A spreadsheet rota comes earlier. Getting them to come, stay, and do no harm, do not.
This percentage does not predict how many people will lose their jobs.
Task comparison
IS WORK OVER?
Volunteer coordinator
25%
AI can already do 25% of this job.
#218 / 623
View rankingVolunteer coordinator
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 |
|---|---|---|---|
Recruitment, rotas and the volunteer register.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 44% | +7 |
Train, support and the one who arrives lost.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Insurance, agreements and the volunteering act.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Recognise, keep them and the one who burns out.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The clash between volunteer and staff.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they add, and do not replace paid work.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 25% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- recruit volunteers
- make rotas
- train volunteers
- volunteering law
- retain volunteers
- volunteer insurance
- staff conflict
- volunteer register
Sources for this job· O*NET 11-9151.00· ESCO/ISCO 1344
IS WORK OVER?
Development cooperation officer
26%
#212 / 623
View rankingDevelopment cooperation 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 |
|---|---|---|---|
Agreements, alignment and the SDGs on the card.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
Follow-up, missions and reports to the agency.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
The local partner, the counterpart and the disagreement.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 16% | +2.9 |
Budget, currency and what stays in management.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The context that shifts and reworking the approach.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
Not imposing, and accounting on both sides.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
- cooperation agreements
- align with SDGs
- agency reports
- southern partners
- monitoring missions
- hard-currency budget
- counterparts
- accountability
Sources for this job· O*NET 19-3094.00· ESCO/ISCO 2635