IS WORK OVER?

Automation index

How much of a Fundraiser’s job can AI already do?

A letter and a CRM come earlier. Asking for the money in person and getting it again do not.

This percentage does not predict how many people will lose their jobs.

Task comparison

Fundraiser

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
Campaigns, CRM and the donor letter.
Estimate

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

16%48%+7.7
The meeting, the no, and asking again.
Estimate

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

18%14%+2.5
Events, legacies and the member base.
Estimate

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

16%36%+5.8
Transparency, the annual report and what you can say.
Estimate

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

16%28%+4.5
The major donor, the board and the conflict of interest.
Estimate

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

18%18%+3.2
That they give again, and not spending more than comes in.
Estimate

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

16%12%+1.9
Total100%26%

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

Skills and activities

  • raise funds
  • donor campaigns
  • member CRM
  • ask for legacies
  • run events
  • transparency report
  • major donors
  • keep members

Sources for this job· O*NET 13-1131.00· ESCO/ISCO 2432

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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