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?

28%

#109 / 633

BIM modeller

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
Model, families and clash detection. Estimate No public source provides a precise figure. This is our estimate.	18%	52%	+9.4
IFC, BEP and trade coordination. Estimate No public source provides a precise figure. This is our estimate.	16%	40%	+6.4
Site, the one who will not open the model, and the meeting. Estimate No public source provides a precise figure. This is our estimate.	16%	22%	+3.5
Quantities, parameters and the 4D nobody uses. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The last-minute change and not breaking the federated model. Estimate No public source provides a precise figure. This is our estimate.	18%	14%	+2.5
That it can be built, and not over-modelling. Estimate No 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