Will AI replace Fundraisers?
In theory, AI could do about 52% of the work in Fundraisers. In practice, as of late 2025, almost no one is actually using it that way — yet.
O*NET-SOC 13-1131
How your 24 core tasks split
Top = what GPT-4 judged AI could speed up. Bottom = how much AI was actually used for these tasks (Anthropic's March 2026 report, usage from Aug & Nov 2025). The gap is the real story.
Back in 2023, GPT-4 judged AI could, in theory, assist with a moderate share of this job's tasks (~52%). By late 2025, real-world AI use had reached about 5% of its task activity (still rare). The gap between that 2023 forecast and today is the real story.
Where this job sits among 738 jobs
Each dot is one of 738 U.S. jobs. Right = AI can do more of it. Up = AI is actually used more.
Don't trust a single AI-risk score here
For this job, the signals disagree sharply. AI's theoretical reach looks moderate (~52%), but real-world use is only ~5%, and how much AI "can" do shifts wildly by model — one 2026 study found the share of "high-risk" jobs swung 2.7% to 51.5% just by changing which AI did the rating. This page shows the spread instead of pretending there's one number.
See all 24 tasks, ratedBased on real task-level AI scores — click to collapse
- Write and send letters of thanks to donors.
- Write reports or prepare presentations to communicate fundraising program data.
- Explain the tax advantages of contributions to potential donors.
- Write speeches, press releases, or other promotional materials to increase awareness of the causes, missions, or goals of organizations seeking funds.
- Identify and build relationships with potential donors.
- Secure commitments of participation or donation from individuals or corporate donors.
- Solicit cash or in-kind donations or sponsorships from individual, business, or government donors.
- Create or update donor databases.
- Develop strategies to encourage new or increased contributions.
- Develop or implement fundraising activities, such as annual giving campaigns or direct mail programs.
- Compile or develop materials to submit to granting or other funding organizations.
- Conduct research to identify the goals, net worth, charitable donation history, or other data related to potential donors, potential investors, or general donor markets.
- Develop fundraising activity plans that maximize participation or contributions and minimize costs.
- Establish fundraising or participation goals for special events or specified time periods.
- Monitor progress of fundraising drives.
- Recruit sponsors, participants, or volunteers for fundraising events.
- Contact corporate representatives, government officials, or community leaders to increase awareness of organizational causes, activities, or needs.
- Design or produce materials such as posters, Web sites, or newsletters to promote, market, or advertise fundraising events.
- Monitor budgets, expense reports, or other financial data for fundraising organizations.
- Plan and direct special events for fundraising, such as silent auctions, dances, golf events, or walks.
- Direct or coordinate Web-based fundraising activities, such as online auctions or donation Web sites.
- Secure speakers for charitable events, community meetings, or conferences to increase awareness of charitable, nonprofit, or political causes.
- Direct or supervise fundraising staff, including volunteer staff members.
- Attend community events, meetings, or conferences to promote organizational goals or solicit donations or sponsorships.
How we measured this — and how fresh it is
AI's theoretical reach data: 2023
From GPTs-are-GPTs (Eloundou et al.), where GPT-4 rated how much of each task an AI tool could meaningfully speed up. This is the most recent open, commercially-usable occupation-level potential dataset — it dates to 2023. Newer multi-model re-runs exist but swing wildly (one 2026 study saw "high-risk" jobs range 2.7%–51.5% by model) and aren't openly licensed, so we show the stable 2023 baseline and pair it with newer real-world data.
Real-world AI use 2026 report
From the Anthropic Economic Index, which observes how real Claude conversations map onto each occupation's tasks. Published in Anthropic's March 2026 labor-market report, based on usage measured in Aug & Nov 2025 (Sonnet 4 / 4.5).
Task list & ratings O*NET 30.3
Tasks come from O*NET 30.3. Each task's "AI can do / speeds up / still on you" tier uses the real task-level exposure scores from GPTs-are-GPTs (E1 / E2 / E0) — not a guess from keywords.
Sources: O*NET 30.3 (CC BY 4.0) · GPTs-are-GPTs (MIT, 2023) · Anthropic Economic Index (CC BY, Aug & Nov 2025). Page compiled June 2026. "O*NET" is a trademark of the U.S. Department of Labor.
This page is for general informational purposes only and is not career, financial, or employment advice. AI exposure reflects research estimates of task overlap, not predictions about any individual's job, employer, or future employment.