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AI Automation Index
Will AI Replace Fundraising Managers?
Task-level automation exposure for Fundraising Managers: 16 O*NET tasks scored against their work activities, plus the simulator.
E-E-A-T Verified
Developed & audited by Gini Loh Automation Exposure
52%
weighted task index
16 of 16 tasks scored
Median Salary
$125,470 / year
BLS OEWS, May 2025 — this exact occupation
Employment Level
Medium
38,810 people hold this job — size, not growth
Projected 2025–35
+5.4%
employment change
3,700 openings a year · BLS line item
Pay by state
BLS OEWS publishes 48 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.
$71,110 – $169,510
Highest medians
New York $169,510
New Hampshire $157,080
Rhode Island $155,970
Massachusetts $151,740
Virginia $143,730
Lowest medians
Arkansas $71,110
West Virginia $74,400
Mississippi $82,620
Alabama $83,700
Idaho $87,990
State figures come from the 11-2033 row in the May 2025 state panel. States where the estimate was suppressed or too small to publish are absent.
What the score is made of
Each task is mapped to its work activities, scored for AI automation potential, and weighted by how important those activities are to the job. These are the components.
Automation potential 52%
Importance-weighted mean of the scored tasks. This is the headline index.
Physical work 3%
Share of weighted tasks in hands-on or machine-operating work activities.
Judgment & influence 67%
Share in analysis, decisions, teaching, directing, advising, or caring for others.
Routine administration 7%
Share in documenting, recording, and administrative activities.
Rewritten by O*NET 0%
Share of weighted tasks O*NET rewrote in a recent update. Reported, not folded into the score.
Consequence of error 4/100
Low
O*NET's own rating of how serious an uncorrectable mistake would be here — respondents, not us. Deliberately not in the index: the score measures what AI can do with the task content, and multiplying it by stakes would be our judgment dressed as data.
Constituent Task Mix
16 tasks for this occupation, weighted by work-activity importance. Shares below are of total task weight, not task count.
High exposure (≥ 60% of the task is automatable) 24%
4 tasks
Medium exposure (≥ 35%) 64%
10 tasks
Low exposure (below 35%) 13%
2 tasks
How would you survive?
Move your week away from the high-exposure tasks and toward the ones that need judgment. The simulator recalculates the index as you shift the mix.
Simulate Upskilling →Emerging & rewritten tasks
Tasks O*NET added or rewrote for this occupation in its recent updates (05/2025 – 08/2026), with who proposed them. Additions are not in the scored task inventory — they are new work O*NET is still measuring, so they appear here and nowhere in the index. A Revision replaces a task that is scored, which is why only those move the "Rewritten by O*NET" share.
- New 08/2025 · Incumbent
Manage stewardship activities to maintain connection with donors.
Constituent Tasks
#21252 · Core · 55% automatable
Develop strategies to encourage new or increased contributions.
decision support — Strategy drafts aided; executives own market judgment
Develop business or market strategies.
#21258 · Core · 55% automatable
Manage fundraising budgets.
decision support — AI tracks and models budgets; human owns allocation decisions
Manage organizational or project budgets.
#21251 · Core · 55% automatable
Develop fundraising activity plans that maximize participation or contributions and minimize costs.
text generation — Business plans drafted; human owns assumptions and risk
Develop financial or business plans.
#21259 · Core · 40% automatable
Plan and direct special events for fundraising, such as silent auctions, dances, golf events, or walks.
decision support — Planning aided; on-site execution is human
Organize special events.
#21255 · Core · 49% automatable
Establish goals for soliciting funds, develop policies for collection and safeguarding of contributions, and coordinate disbursement of funds.
text generation — Goals drafted; leadership accountability human
Develop organizational goals or objectives. Develop organizational policies or programs. Direct financial operations.
#21254 · Core · 28% automatable
Establish and maintain effective working relationships with clients, government officials, and media representatives and use these relationships to develop new fundraising opportunities.
interpersonal — Interpersonal business relationships are inherently human
Establish interpersonal business relationships to facilitate work activities.
#21247 · Core · 68% automatable
Compile or develop materials to submit to granting or other funding organizations.
text generation — Assemble proposal documents from provided content
Prepare proposal documents.
#21249 · Core · 55% automatable
Contact corporate representatives, government officials, or community leaders to increase awareness of organizational causes, activities, or needs.
interpersonal — Public communication needs accountability and audience trust
Inform the public about policies, services or procedures.
#21248 · Core · 65% automatable
Conduct research to identify the goals, net worth, charitable donation history, or other data related to potential donors, potential investors, or general donor markets.
data analysis — Examines records for anomalies; human validates findings
Examine financial records.
#21261 · Core · 45% automatable
Write interesting and effective press releases, prepare information for media kits, and develop and maintain company internet or intranet Web pages.
interpersonal — Public presentation is live human performance
Present information to the public.
#21257 · Core · 56% automatable
Formulate policies and procedures related to fundraising programs.
decision support — AI drafts strategies; human owns operational judgment
Develop organizational policies or programs. Develop operating strategies, plans, or procedures.
#21246 · Core · 43% automatable
Assign, supervise, and review the activities of fundraising staff.
decision support — Performance review aided; accountability and context human
Evaluate employee performance. Supervise employees.
#21256 · Core · 70% automatable
Evaluate advertising and promotion programs for compatibility with fundraising efforts.
data analysis — Program metrics analysis, human owns conclusions
Evaluate program effectiveness.
#21250 · Core · 76% automatable
Design and edit promotional publications, such as brochures.
text generation — Document editing largely automatable with human review
Edit documents. Develop promotional materials.
#21253 · Supplemental · 30% automatable
Direct activities of external agencies, establishments, or departments that develop and implement fundraising strategies and programs.
interpersonal — Directing sales and service is human leadership and persuasion
Direct sales, marketing, or customer service activities.
#21260 · Supplemental · 37% automatable
Produce films and other video products, regulate their distribution, and operate film library.
text generation — Archival schema drafted; curation judgment human
Develop library or archival databases. Operate still or video cameras or related equipment. Distribute instructional or library materials.
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How this was scored
- 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
- 2. Work activities. Each task maps to 1–5 Detailed Work Activities; each activity belongs to one of 41 Generalized Work Activities that O*NET rates for importance (1–5) in this occupation.
- 3. Automation potential. Every work activity carries one score for how far current AI can perform it end-to-end. Tasks inherit the mean of their activities.
- 4. Weighting. Task weight = 0.35 + 0.65 × (importance − 1)/4, scaled by how often the task is performed and by 0.7 for Supplemental tasks. Importance is the task's own O*NET rating where it exists (18,369 of 18,838 tasks); the rest inherit their work activities' importance. The index is the weighted mean.
Check: across the 910 occupations where O*NET also rates how far machine speed sets the pace, this index moves opposite to it (Spearman ρ = -0.49). The more a job is paced by equipment, the less of its task content AI can address — the relationship you would expect if the scoring is working.
Sources · O*NET 31.0 (task records to 08/2026) · BLS OEWS May 2025 · BLS projections 2025-2035 · rubric v2.1 · tasks for O*NET, not a forecast
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