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

IS WORK OVER?

26%

AI can already do 26% of this job.

#194 / 633

Fundraiser

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
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
Total	100%		26%

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

IS WORK OVER?

26%

#211 / 633

Last-mile manager

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
Zones, capacity and route cuts. Estimate No public source provides a precise figure. This is our estimate.	16%	44%	+7
KPIs, first attempt and incidents. Estimate No public source provides a precise figure. This is our estimate.	16%	36%	+5.8
The courier, the lobby and the one who will not open. Estimate No public source provides a precise figure. This is our estimate.	18%	16%	+2.9
Peaks, rain and hiring too many or too few. Estimate No public source provides a precise figure. This is our estimate.	16%	28%	+4.5
The angry customer and not dressing delivered. Estimate No public source provides a precise figure. This is our estimate.	18%	18%	+3.2
Cover the peak, and not leaving the neighbourhood orphaned. Estimate No public source provides a precise figure. This is our estimate.	16%	14%	+2.2
Total	100%		26%

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