Occupation · SOC 13-1131.00
Organize activities to raise funds or otherwise solicit and gather monetary donations or other gifts for an organization. May design and produce promotional materials. May also raise awareness of the organization's work, goals, and financial needs.
Also called: Contract Grant Writer · Development Officer · Fundraising Consultant · Philanthropy Officer · Development Associate · Direct Response Consultant · Grant Coordinator · Principal Gifts Officer · Annual Giving Coordinator · Annual Giving Officer · Campaign Fundraiser · Capital Campaign Fundraiser
Job family: Business and Financial Operations Occupations
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A fast read on where AI already shows up in this occupation, where it stays a copilot, where humans remain in the loop, and what the labor market is doing. Built from observed Claude.ai conversations mapped to O*NET tasks and from published research — measures of usage and exposure, not advice or predictions that the job is going away.
Task areas most often handled directively in observed AI conversations — candidates to delegate with light review.
Task areas where people work with AI — iterating, learning, or checking — staying in the loop rather than handing the task off.
Task areas where a human was still judged necessary in a large share of observed conversations — not a safety ruling, an observed-need signal.
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Independent published positions, read together — not a forecast.
67th-percentile task overlap — yet about 10,200 openings a year (+4.3% projected, BLS), and observed AI use leans 5772% copilot, not hand-off (AEI) . What exposure means →
What today's research says about this occupation's exposure to AI, how AI is actually being used in it, and where employment is headed. These are positions within published studies — measures of exposure and usage, not predictions that this job will disappear.
Each study uses its own scale, so the raw scores are not comparable across rows — the percentile (this job's rank among all U.S. occupations with data) is the comparable figure, and sizes the bars.
| Measure | Rank vs all occupations | Percentile | Score |
|---|---|---|---|
| Overall AI exposure (Felten et al.) High | 84th | 1.2 | |
| LLM task exposure, γ (OpenAI / Eloundou) High | 76th | 0.9 | |
| AI assistant applicability (Microsoft) Moderate | 40th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.2), with simple added tooling (β 0.5), and including AI-powered software (γ 0.9). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
This job mostly cannot be done remotely (Dingel–Neiman) — its hands-on tasks sit outside what software-based AI reaches.
Among measured AI assistant conversations mapped to this occupation (Anthropic Economic Index, 2026-01-15), these task types came up most. These are shares of observed AI conversations — not shares of the job, of worker time, or of what could be automated.
| Compile or develop materials to submit to granting or other funding organizations. | 8.9% | |
| Write reports or prepare presentations to communicate fundraising program data. | 1.0% | |
| Write speeches, press releases, or other promotional materials to increase awareness of the causes, missions, or goals of organizations seeking funds. | 1.0% | |
| Develop strategies to encourage new or increased contributions. | 0.5% | |
| Identify and build relationships with potential donors. | 0.5% | |
| Design or produce materials such as posters, Web sites, or newsletters to promote, market, or advertise fundraising events. | 0.4% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +4.3% by 2034 |
| Projected annual openings | 10,200 |
| Employment 2024 → 2034 | 134,400 → 140,200 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
The ILO's 2025 global study scores generative-AI exposure on the international ISCO-08 occupation system, not US SOC. Bridged through the published (and approximate, many-to-many) IBS O*NET-SOC ↔ ISCO-08 crosswalk, this US occupation corresponds to the international occupation below. Exposure here means how much of the work's tasks today's AI can attempt — task overlap, not automation, adoption, or jobs lost.
| International occupation (ISCO-08) | Task exposure (2025) | Most tasks fall in |
|---|---|---|
| Debt Collectors and Related Workers · 4214 | 43% | Gradient 2 |
Read the whole six-band gradient on the GenAI exposure gradient page. The crosswalk is approximate: a US occupation can map to several international ones, and the ILO scores describe the international occupation, not this exact US role.
How people actually apply AI to this occupation's tasks, from Claude.ai (Free and Pro) conversations in the Anthropic Economic Index, 2026-01-15. This is one AI assistant's consumer sample — not all AI, not the whole workforce. Autonomy and the collaboration mix are model-rated estimates; figures below the sample floor are hidden.
| Augmentation vs. automation | 57.7% working with AI · 28.5% handed to AI |
| Most common way people use AI here | Iteration · you and AI go back and forth |
| Typical AI autonomy | 3.0 / 5 · higher = AI acts more independently |
| Used for work (vs. personal / coursework) | 84.4% |
The role's most common tasks in AI conversations, each tagged with how people work with the AI on it. “Usage” is the share of observed conversations, not of the job.
| Task | How | Usage |
|---|---|---|
| Write speeches, press releases, or other promotional materials to increase awareness of the causes, missions, or goals of organizations seeking funds. | Iteration | 2.7% |
| Compile or develop materials to submit to granting or other funding organizations. | Iteration | 1.2% |
| Prepare materials for charitable events, such as fundraising envelopes, bid sheets, or gift bags. | Iteration | 1.1% |
| Write reports or prepare presentations to communicate fundraising program data. | Iteration | 0.6% |
| Develop or implement fundraising activities, such as annual giving campaigns or direct mail programs. | Iteration | 0.6% |
| Identify and build relationships with potential donors. | Iteration | 0.5% |
| Develop strategies to encourage new or increased contributions. | Iteration | 0.4% |
| Conduct research to identify the goals, net worth, history of charitable donations, or other data related to potential donors, potential investors, or general donor markets. | Directive | 0.3% |
Tasks where the model most often judged that a person remained necessary — a useful read on the current boundary, not a guarantee.
| Identify and build relationships with potential donors. | 100.0% | |
| Solicit cash or in-kind donations or sponsorships from individual, business, or government donors. | 100.0% | |
| Compile or develop materials to submit to granting or other funding organizations. | 98.3% | |
| Prepare materials for charitable events, such as fundraising envelopes, bid sheets, or gift bags. | 98.2% | |
| Develop or implement fundraising activities, such as annual giving campaigns or direct mail programs. | 98.2% | |
| Develop strategies to encourage new or increased contributions. | 97.5% |
Example prompts phrased from the tasks people most often delegate to AI in this occupation (Anthropic Economic Index). Each shows the underlying measured task and its share of observed AI use. They are suggested phrasings of real tasks — starting points, not endorsed instructions.
Help me write speeches, press releases, or other promotional materials to increase awareness of the causes, missions, or goals of organizations seeking funds. From: Write speeches, press releases, or other promotional materials to increase awareness of the causes, missions, or goals of organizations seeking funds. · 2.7% of measured AI use · task iteration
Help me compile or develop materials to submit to granting or other funding organizations. From: Compile or develop materials to submit to granting or other funding organizations. · 1.2% of measured AI use · task iteration
Help me prepare materials for charitable events, such as fundraising envelopes, bid sheets, or gift bags. From: Prepare materials for charitable events, such as fundraising envelopes, bid sheets, or gift bags. · 1.1% of measured AI use · task iteration
Help me write reports or prepare presentations to communicate fundraising program data. From: Write reports or prepare presentations to communicate fundraising program data. · 0.6% of measured AI use · task iteration
All 28 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Speaking | 4.1 | |
| Reading Comprehension | 4.0 | |
| Active Listening | 4.0 | |
| Writing | 4.0 | |
| Critical Thinking | 3.9 | |
| Active Learning | 3.3 | |
| Monitoring | 3.1 | |
| Mathematics | 3.0 |
| Oral Expression | 4.1 | |
| Speech Clarity | 4.1 | |
| Oral Comprehension | 4.0 | |
| Written Comprehension | 4.0 | |
| Written Expression | 4.0 | |
| Speech Recognition | 4.0 | |
| Inductive Reasoning | 3.9 | |
| Fluency of Ideas | 3.8 | |
| Deductive Reasoning | 3.8 | |
| Near Vision | 3.6 | |
| Problem Sensitivity | 3.5 | |
| Originality | 3.3 | |
| Information Ordering | 3.3 | |
| Category Flexibility | 3.1 |
| Persuasion | 4.0 | |
| Negotiation | 3.9 | |
| Coordination | 3.8 | |
| Social Perceptiveness | 3.6 | |
| Service Orientation | 3.5 | |
| Judgment and Decision Making | 3.4 | |
| Complex Problem Solving | 3.3 | |
| Systems Analysis | 3.1 | |
| Systems Evaluation | 3.1 | |
| Instructing | 3.0 | |
| Time Management | 3.0 |
Skills employers ask for in job postings for this occupation (Lightcast), with whether each is a common or specialized skill.
Showing the top 40 of 43.
How characteristic each condition is of the job, on O*NET's 1–5 context scale (higher = more present in day-to-day work). Each condition links to how it varies across all occupations.
What to study: Business, Management, Marketing, and Related Support Services , Communication, Journalism, and Related Programs . Fields of study crosswalked to this occupation (NCES CIP–SOC), not a requirement.
Share of people in this occupation at each level of education.
| Bachelor's Degree | 90.5% | |
| Post-Baccalaureate Certificate | 4.8% | |
| Master's Degree | 4.8% |
The interests and personal qualities O*NET associates with people who do this work.
| Integrity | 10.0 | |
| Cooperation | 9.0 | |
| Achievement Orientation | 8.0 | |
| Social Orientation | 7.0 | |
| Empathy | 6.0 | |
| Perseverance | 5.0 | |
| Leadership Orientation | 4.0 |
| Public Speaking | 6.1 | |
| Sales | 5.3 | |
| Business Initiatives | 5.0 | |
| Management/Administration | 4.7 | |
| Marketing/Advertising | 4.6 | |
| Media | 3.5 |
| Enterprising | 6.0 | |
| Social | 4.2 | |
| Conventional | 4.1 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $43,200 |
| 25th percentile | $52,590 |
| Median (50th) | $66,490 |
| 75th percentile | $85,280 |
| 90th percentile | $106,960 |
| People employed | 105,930 |
Where these workers are employed, by number of jobs (national, BLS OEWS). Pay shown is the occupation's national median, not industry-specific.
| Industry | Workers | National median pay |
|---|---|---|
| Other Services (except Public Administration) · Sector | 32,940 | $69,980 |
| Educational Services · Sector | 26,320 | $72,740 |
| Health Care and Social Assistance · Sector | 21,380 | $62,410 |
| Arts, Entertainment, and Recreation · Sector | 7,100 | $60,860 |
| Professional, Scientific, and Technical Services · Sector | 4,840 | $66,130 |
| Management of Companies and Enterprises · Sector | 3,110 | $75,800 |
| Information · Sector | 1,620 | $68,650 |
| Theater Companies and Dinner Theaters · National industry | 1,060 | $56,540 |
| Services for the Elderly and Persons with Disabilities · National industry | 1,050 | $57,610 |
| Finance and Insurance · Sector | 940 | $92,390 |
| Retail Trade · Sector | 620 | $48,140 |
| Real Estate and Rental and Leasing · Sector | 470 | $69,510 |
Industries where this occupation is far more common than in the economy as a whole. The location quotient is how many times more concentrated it is here (a value of 5 means five times its economy-wide share).
| Industry | Concentration | Workers |
|---|---|---|
| Theater Companies and Dinner Theaters · National industry | 21.31× | 1,060 |
| Other Services (except Public Administration) · Sector | 10.83× | 32,940 |
| Radio Broadcasting Stations · National industry | 8.43× | 300 |
| Research and Development in the Social Sciences and Humanities · National industry | 7.42× | 310 |
| Television Broadcasting Stations · National industry | 4.48× | 200 |
| Arts, Entertainment, and Recreation · Sector | 3.91× | 7,100 |
| Educational Services · Sector | 2.81× | 26,320 |
| Residential Mental Health and Substance Abuse Facilities · National industry | 2.03× | 360 |
Part of the Hospitality, Events, & Tourism career cluster.
Side-by-side comparisons place two occupations’ pay, preparation, skills, and AI exposure on the same page — same data, same scale, no forecast.
Options the data surfaces for Fundraisers — not advice or a forecast. Each is a real cross-link you can follow into the evidence.
Capabilities this work builds that are used across many other occupations.
Occupations O*NET rates as related — the nearby moves on the map.
How people typically prepare for this work.
On the global GenAI exposure gradient this work sits around the 80th percentile of 427 international occupations.
Fundraisers show 67th-percentile AI task overlap — and about 10,200 annual U.S. openings
Fundraisers show 67th-percentile AI task overlap — and about 10,200 annual U.S. openings • Fundraisers rank in the 67th percentile (High band) for AI task overlap across U.S. occupations — a measure of how much of the work today's AI can attempt, not how much is automated. (Eloundou et al. (GPTs are GPTs) + Felten AIOE) • The occupation is projected to see about 10,200 U.S. job openings per year (2024–34), counting growth and replacement — a labor-demand projection made independently of AI. (BLS Employment Projections 2024–34) • BLS projects employment to be about average (+4.3%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $66,490, across about 105,930 U.S. workers. (BLS OEWS (May 2024)) • Of the AI use actually observed for this work, 58% looks like augmentation (drafting, iterating, checking) rather than hands-off automation — from a Claude.ai usage sample, not a census. (2026-01-15-v4-plus-2025-03-27-v2) Source: Singulariki — "Fundraisers". https://singulariki.com/roles/role-13-1131-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
AssetsShare imageMethodology & sourcesPress & newsroomThe newsroom
Every line is built only from figures this page already shows and cites. AI task overlap means what today's AI can attempt — not automation, job loss, or a forecast.
Every figure above traces to a named public dataset and the exact release below — not hand-written opinion. See the full methodology for what each measure does and does not mean.
Data compiled June 2, 2026. Figures are estimates, not advice.
Singulariki. "Fundraisers." Singulariki: a source-backed encyclopedia of work. Built from O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026. https://singulariki.com/roles/role-13-1131-00
Singulariki. (2026). Fundraisers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-13-1131-00
@misc{singulariki-role-13-1131-00,
title = {Fundraisers},
author = {{Singulariki}},
year = {2026},
note = {O*NET 30.3; BLS Occupational Employment and Wage Statistics (OEWS) May 2024; BLS Employment Projections 2024–2034; Anthropic Economic Index v4 (2026-01-15) + v2 (2025-03-27); Microsoft “Working with AI” working-with-ai; “GPTs are GPTs” (Eloundou et al.) arXiv 2303.10130; AI Occupational Exposure (AIOE) Felten, Raj & Seamans; ILO / Gmyrek et al. GenAI exposure gradient 2025; IBS O*NET-SOC ↔ ISCO-08 occupation crosswalk 2022; Dingel & Neiman (2020) dingel-neiman-workathome. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-13-1131-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.