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?

25%

AI can already do 25% of this job.

#218 / 633

Volunteer coordinator

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. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
Train, support and the one who arrives lost. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Insurance, agreements and the volunteering act. Estimate No public source provides a precise figure. This is our estimate.	16%	32%	+5.1
Recognise, keep them and the one who burns out. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The clash between volunteer and staff. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
That they add, and do not replace paid work. Estimate No 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

IS WORK OVER?

26%

#211 / 633

Last-mile manager

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
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No 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