Other

Fundraiser

Based on 10 assessments

35% Moderate risk

Average realistic automation risk across all Fundraiser profiles in the dataset.

Raw potential
63%
Realistic risk
35%
Research benchmark ?
49%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 10 profiles. Middle half of Fundraisers score between 30% and 39%.

0% 50% 100%
p10 · 29%
43% · p90
On-screen work 61%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 0%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 20%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 19%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Fundraiser, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Write grant proposals, donation requests, and funding applications tailored to specific funders
deep expertise social element
32% DD 27%
Research and identify prospective donors (individuals, foundations, corporations) using databases, networks, and online research
19% DD 55%
Plan and execute fundraising events (galas, dinners, campaigns) including logistics and attendee management
some context needed
14% DA 8%
Follow up with donors, provide stewardship communications, and maintain long-term relationships
deep expertise
13% DA 6%
Conduct donor meetings, pitches, and presentations to cultivate relationships and secure commitments
deep expertise
11% AA 2%
Track donations, manage donor records, update CRM systems, and maintain giving databases
7% DD 63%
Prepare reports, analyze fundraising metrics, and develop strategy recommendations for leadership
1% DD 50%

Work as a Fundraiser? Map your specific role.

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