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

Station master

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
Graph, orders and the station log.
Estimate

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

16%40%+6.4
Platforms, the crossing and the late train.
Estimate

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

18%14%+2.5
Staff, shifts and the ticket-office gap.
Estimate

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

16%32%+5.1
Incident, passengers and the PA.
Estimate

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

16%22%+3.5
Works, closures and leaving nobody on the platform.
Estimate

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

18%18%+3.2
That they do not meet, and signing the graph.
Estimate

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

16%12%+1.9
Total100%23%

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

Skills and activities

  • train graph
  • orders
  • platforms
  • ticket office
  • PA
  • line crossings
  • station shifts
  • station logs

Sources for this job· O*NET 53-4031.00· ESCO/ISCO 4323

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