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?
Fundraiser
26%
AI can already do 26% of this job.
#194 / 623
View rankingFundraiser
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.
| Task | Share | AI | Points |
|---|---|---|---|
Campaigns, CRM and the donor letter.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 48% | +7.7 |
The meeting, the no, and asking again.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Events, legacies and the member base.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 36% | +5.8 |
Transparency, the annual report and what you can say.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
The major donor, the board and the conflict of interest.EstimateNo 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.EstimateNo 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
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
IS WORK OVER?
Agile coach
24%
#257 / 623
View rankingAgile coach
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.
| Task | Share | AI | Points |
|---|---|---|---|
Boards, metrics and the cadence design.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 40% | +6.4 |
The real retro and the elephant in the room.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 14% | +2.5 |
Train, unblock and the manager who will not let go.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 32% | +5.1 |
Scale, dependencies and fake agile.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 28% | +4.5 |
Conflict, power and not selling extra frameworks.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 18% | +3.2 |
That they stop faking it, and not inflating velocity.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 14% | +2.2 |
| Total | 100% | 24% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- retros
- agile cadence
- unblock teams
- flow metrics
- fake agile
- agile training
- dependencies
- velocity
Sources for this job· O*NET 13-1111.00· ESCO/ISCO 2421