IS WORK OVER?

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

Volunteer 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.

TaskShareAIPoints
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
Total100%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

Olive-oil miller

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.

TaskShareAIPoints
Intake, yield and the mill log.
Estimate

No public source provides a precise figure. This is our estimate.

16%40%+6.4
Crush, malaxate and the decanter.
Estimate

No public source provides a precise figure. This is our estimate.

18%12%+2.2
Temperature, time and the fruitiness.
Estimate

No public source provides a precise figure. This is our estimate.

16%28%+4.5
Cellar, the batch and the one that goes rancid.
Estimate

No public source provides a precise figure. This is our estimate.

16%22%+3.5
The campaign, the tractor queue and not heating.
Estimate

No public source provides a precise figure. This is our estimate.

18%18%+3.2
Cold for real, and not painting the yield.
Estimate

No public source provides a precise figure. This is our estimate.

16%12%+1.9
Total100%22%

Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low

Skills and activities

  • crush olives
  • malaxation
  • decanter
  • fruitiness
  • the campaign
  • mill yield
  • oil cellar
  • extraction temperature

Sources for this job· O*NET 51-3092.00· ESCO/ISCO 7514

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