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

Talent scout

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
Match, notes and the report.
Estimate

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

18%48%+8.6
See them live, the setting and the one who hides.
Estimate

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

16%40%+6.4
Data, GPS and not trusting the clip alone.
Estimate

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

16%22%+3.5
Network, agents and the one already promised.
Estimate

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

16%28%+4.5
The club, the rush and not inflating the average.
Estimate

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

18%14%+2.5
See the player, and not falling for the goal.
Estimate

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

16%12%+1.9
Total100%27%

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

Skills and activities

  • scout reports
  • see live
  • player GPS
  • agents
  • scout network
  • data
  • clips
  • the player’s setting

Sources for this job· O*NET 27-2022.00· ESCO/ISCO 3422

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