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?
BI analyst
34%
#18 / 623
View rankingBI analyst
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 |
|---|---|---|---|
Model data, light ETL and dashboards.EstimateNo public source provides a precise figure. This is our estimate. | 24% | 58% | +13.9 |
Write SQL, measures and docs.EstimateNo public source provides a precise figure. This is our estimate. | 18% | 50% | +9 |
Define KPIs with the business and negotiate meaning.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 22% | +3.5 |
Present insights and defend the number.EstimateNo public source provides a precise figure. This is our estimate. | 16% | 18% | +2.9 |
Data quality, alerts and lineage.EstimateNo public source provides a precise figure. This is our estimate. | 14% | 15% | +2.1 |
Prioritise requests and say no.EstimateNo public source provides a precise figure. This is our estimate. | 12% | 20% | +2.4 |
| Total | 100% | 34% |
Modelled workweek: 100% · Public evidence: 0% · Estimate: 100% · Confidence: Low
Skills and activities
- Model data, light ETL and dashboards
- Write SQL, measures and docs
- Present insights and defend the number
- Data quality, alerts and lineage
- Prioritise requests and say no
- business intelligence
- analista bi
- power bi
- looker
Sources for this job· O*NET 15-2051.00· ESCO/ISCO 2511