Skills it runs on
The capabilities O*NET rates most important for this occupation — the human ground the work is built on.
See all skills →Occupation · SOC 11-2033.00
Plan, direct, or coordinate activities to solicit and maintain funds for special projects or nonprofit organizations.
Also called: Advancement Director · Annual Giving Director · Development Director · Fundraising Manager · Donor Engagement Director · Foundation Director · Individual Giving Director · Individual Giving Manager · Institutional Advancement VP (Institutional Advancement Vice President) · Major Gifts Director · Account Manager · Account Supervisor
Job family: Management Occupations
A source-stamped Markdown brief of this occupation — paste it into an agent, or fetch
/roles/role-11-2033-00/context.md directly.
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.
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.
71st-percentile task overlap — yet about 3,600 openings a year (+4.2% projected, BLS) . 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 |
|---|---|---|---|
| LLM task exposure, γ (OpenAI / Eloundou) High | 95th | 1.0 | |
| AI assistant applicability (Microsoft) Moderate | 47th | 0.1 |
OpenAI's exposure study scores tasks three ways: with a language model alone (α 0.1), with simple added tooling (β 0.6), and including AI-powered software (γ 1.0). Higher means more of the job's tasks could be done at least twice as fast — not that they will be automated away.
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 interesting and effective press releases, prepare information for media kits, and develop and maintain company internet or intranet Web pages. | 5.8% | |
| Develop strategies to encourage new or increased contributions. | 0.5% |
Independent U.S. Bureau of Labor Statistics employment projection for 2024–2034 — a labor-market forecast, not an AI-impact forecast.
| Outlook | About average · +4.2% by 2034 |
| Projected annual openings | 3,600 |
| Employment 2024 → 2034 | 45,700 → 47,600 |
“Annual openings” counts new jobs plus replacements for workers who leave the occupation, so it can be large even when growth is modest.
All 16 tasks O*NET lists for this occupation, ordered by importance. Each links to its own page with AI-exposure and observed-use detail.
Newer responsibilities O*NET has flagged as growing for this occupation.
O*NET importance rating, from 1 (not important) to 5 (extremely important).
| Speaking | 4.1 | |
| Critical Thinking | 4.1 | |
| Active Listening | 4.0 | |
| Reading Comprehension | 3.9 | |
| Writing | 3.9 | |
| Active Learning | 3.4 | |
| Monitoring | 3.1 |
| Oral Comprehension | 4.1 | |
| Oral Expression | 4.1 | |
| Written Comprehension | 3.9 | |
| Written Expression | 3.9 | |
| Deductive Reasoning | 3.9 | |
| Speech Clarity | 3.9 | |
| Speech Recognition | 3.8 | |
| Fluency of Ideas | 3.6 | |
| Originality | 3.5 | |
| Information Ordering | 3.5 | |
| Problem Sensitivity | 3.4 | |
| Inductive Reasoning | 3.4 | |
| Near Vision | 3.4 |
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 60.
Showing the top 40 of 60.
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.
| Master's Degree | 10.9% | |
| Associate's Degree (or other 2-year degree) | 3.9% |
The interests and personal qualities O*NET associates with people who do this work.
| Dependability | 9.0 | |
| Integrity | 8.0 | |
| Cooperation | 7.0 | |
| Achievement Orientation | 6.0 | |
| Social Orientation | 5.0 | |
| Perseverance | 4.0 |
| Enterprising | 7.0 | |
| Conventional | 4.8 | |
| Social | 3.8 |
| Management/Administration | 6.3 | |
| Public Speaking | 5.9 | |
| Business Initiatives | 5.7 | |
| Sales | 5.5 | |
| Marketing/Advertising | 5.0 | |
| Accounting | 3.4 | |
| Media | 3.4 |
U.S. · annual wages (BLS OEWS)
| 10th percentile | $73,700 |
| 25th percentile | $92,880 |
| Median (50th) | $123,480 |
| 75th percentile | $166,420 |
| 90th percentile | $216,660 |
| People employed | 36,920 |
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 |
|---|---|---|
| Educational Services · Sector | 12,190 | $126,400 |
| Other Services (except Public Administration) · Sector | 11,310 | $126,440 |
| Health Care and Social Assistance · Sector | 6,260 | $106,480 |
| Arts, Entertainment, and Recreation · Sector | 2,110 | $112,770 |
| Management of Companies and Enterprises · Sector | 1,580 | $134,180 |
| Professional, Scientific, and Technical Services · Sector | 1,500 | $132,870 |
| Administrative and Support and Waste Management and Remediation Services · Sector | 670 | $118,890 |
| Information · Sector | 480 | $119,600 |
| Theater Companies and Dinner Theaters · National industry | 300 | $108,160 |
| Services for the Elderly and Persons with Disabilities · National industry | 220 | $97,110 |
| Research and Development in the Social Sciences and Humanities · National industry | 120 | $170,110 |
| Television Broadcasting Stations · National industry | 90 | $101,730 |
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 | 17.31× | 300 |
| Other Services (except Public Administration) · Sector | 10.67× | 11,310 |
| Research and Development in the Social Sciences and Humanities · National industry | 8.24× | 120 |
| Educational Services · Sector | 3.73× | 12,190 |
| Arts, Entertainment, and Recreation · Sector | 3.33× | 2,110 |
| Management of Companies and Enterprises · Sector | 2.35× | 1,580 |
| Health Care and Social Assistance · Sector | 1.13× | 6,260 |
| Information · Sector | 0.69× | 480 |
Part of the Arts, Entertainment, & Design , Financial Services and Hospitality, Events, & Tourism career clusters.
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 Fundraising Managers — 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.
See where this work sits in the bigger picture.
Fundraising Managers show 71st-percentile AI task overlap — and about 3,600 annual U.S. openings
Fundraising Managers show 71st-percentile AI task overlap — and about 3,600 annual U.S. openings • Fundraising Managers rank in the 71st 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 3,600 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 (+4.2%) from 2024 to 2034. (BLS Employment Projections 2024–34) • Median annual pay is $123,480, across about 36,920 U.S. workers. (BLS OEWS (May 2024)) Source: Singulariki — "Fundraising Managers". https://singulariki.com/roles/role-11-2033-00 Note: AI task overlap measures what today's AI can attempt, not automation, job loss, or a forecast.
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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. "Fundraising Managers." 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. Accessed June 7, 2026. https://singulariki.com/roles/role-11-2033-00
Singulariki. (2026). Fundraising Managers. Singulariki: a source-backed encyclopedia of work. Retrieved June 7, 2026, from https://singulariki.com/roles/role-11-2033-00
@misc{singulariki-role-11-2033-00,
title = {Fundraising Managers},
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. Accessed June 7, 2026},
url = {https://singulariki.com/roles/role-11-2033-00}
} Citations name the underlying public dataset releases — they reflect what this page is built from, not just the URL.