Gini Loh System Tools

AI Automation Index

Will AI Replace Fundraisers?

Task-level automation exposure for Fundraisers: 28 O*NET tasks scored against their work activities, plus the simulator.

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Developed & audited by Gini Loh

Automation Exposure

53% weighted task index

28 of 28 tasks scored

Median Salary

$72,550 / year

BLS OEWS, May 2025 — this exact occupation

Employment Level

High

111,040 people hold this job — size, not growth

Projected 2025–35

+5.5% employment change

10,000 openings a year · BLS line item

Pay by state

BLS OEWS publishes 52 state estimates for this occupation. Each is its own survey estimate, not the national median adjusted for local prices.

$50,190 – $80,840

Highest medians

District of Columbia $80,840
New York $80,540
Maryland $79,780
California $79,710
Massachusetts $79,060

Lowest medians

Arkansas $50,190
Puerto Rico $52,090
West Virginia $54,760
Mississippi $57,610
Alabama $60,120

State figures come from the 13-1131 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 53%

Importance-weighted mean of the scored tasks. This is the headline index.

Physical work 0%

Share of weighted tasks in hands-on or machine-operating work activities.

Judgment & influence 50%

Share in analysis, decisions, teaching, directing, advising, or caring for others.

Routine administration 13%

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 10/100 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

28 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) 39%

11 tasks

Medium exposure (≥ 35%) 35%

11 tasks

Low exposure (below 35%) 26%

6 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 →

Constituent Tasks

#18917 · Core · 25% automatable

Identify and build relationships with potential donors.

interpersonal — Business relationships require human trust and presence

Develop business relationships.
#18922 · Core · 30% automatable

Secure commitments of participation or donation from individuals or corporate donors.

interpersonal — Fundraising requires relationships, persuasion, and donor accountability

Direct fundraising or financing activities.
#18931 · Core · 25% automatable

Write and send letters of thanks to donors.

interpersonal — Business relationships require human trust and presence

Develop business relationships.
#18923 · Core · 30% automatable

Solicit cash or in-kind donations or sponsorships from individual, business, or government donors.

interpersonal — Fundraising requires relationships, persuasion, and donor accountability

Direct fundraising or financing activities.
#18907 · Core · 85% automatable

Create or update donor databases.

data analysis — Enter and maintain data in information systems

Maintain data in information systems or databases.
#18912 · 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.
#18911 · Core · 55% automatable

Develop or implement fundraising activities, such as annual giving campaigns or direct mail programs.

decision support — Strategy drafts aided; executives own market judgment

Develop business or market strategies.
#18925 · 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.
#18926 · 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.
#18910 · 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.
#18914 · Core · 30% automatable

Direct or supervise fundraising staff, including volunteer staff members.

interpersonal — Employee supervision is accountability-bearing human work

Supervise employees.
#18915 · Core · 62% automatable

Establish fundraising or participation goals for special events or specified time periods.

text generation — Program plans drafted; stakeholder buy-in human

Develop program goals or plans.
#18919 · Core · 78% automatable

Monitor progress of fundraising drives.

data analysis — Financial indicator monitoring is well-suited to AI analytics

Monitor financial indicators.
#18921 · Core · 40% automatable

Recruit sponsors, participants, or volunteers for fundraising events.

interpersonal — Recruitment coordination aided by AI, human decides

Coordinate personnel recruitment activities.
#18906 · Core · 59% automatable

Contact corporate representatives, government officials, or community leaders to increase awareness of organizational causes, activities, or needs.

text generation — AI drafts policy communications; human approves

Communicate organizational policies and procedures. Communicate organizational information to customers or other stakeholders.
#18905 · Core · 55% automatable

Attend community events, meetings, or conferences to promote organizational goals or solicit donations or sponsorships.

text generation — Promotional content drafted; human owns institutional relationships

Promote educational institutions or programs. Promote products, services, or programs.
#18932 · Core · 78% automatable

Write reports or prepare presentations to communicate fundraising program data.

data analysis — Reports and budgets drafted; human owns assumptions

Prepare financial documents, reports, or budgets.
#18916 · Core · 62% automatable

Explain the tax advantages of contributions to potential donors.

data analysis — AI interprets financials; human owns advice

Interpret financial information for others.
#18908 · Core · 72% automatable

Design or produce materials such as posters, Web sites, or newsletters to promote, market, or advertise fundraising events.

text generation — Drafts copy and concepts; brand judgment and final polish human

Create marketing materials.
#18924 · Core · 72% automatable

Write speeches, press releases, or other promotional materials to increase awareness of the causes, missions, or goals of organizations seeking funds.

text generation — Drafts copy and concepts; brand judgment and final polish human

Create marketing materials.
#18918 · Core · 78% automatable

Monitor budgets, expense reports, or other financial data for fundraising organizations.

data analysis — Financial indicator monitoring is well-suited to AI analytics

Monitor financial indicators.
#18920 · 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.
#18913 · Core · 40% automatable

Direct or coordinate Web-based fundraising activities, such as online auctions or donation Web sites.

interpersonal — Overseeing business processes requires human accountability

Oversee business processes.
#18930 · Core · 40% automatable

Secure speakers for charitable events, community meetings, or conferences to increase awareness of charitable, nonprofit, or political causes.

decision support — Planning aided; on-site execution is human

Organize special events.
#18909 · Supplemental · 55% automatable

Develop corporate fundraising programs, such as employer gift-matching.

decision support — Strategy drafts aided; executives own market judgment

Develop business or market strategies.
#18927 · Supplemental · 45% automatable

Coordinate transportation or delivery of materials, supplies, or donations for fundraising events.

decision support — Logistics coordination needs real-time human decisions

Coordinate logistics or other business operations.
#18928 · Supplemental · 25% automatable

Develop and maintain media contact lists.

interpersonal — Business relationships require human trust and presence

Develop business relationships.
#18929 · Supplemental · 83% automatable

Prepare materials such as fundraising envelopes, bid sheets, or gift bags for charitable events.

text generation — Prepare reference materials from source content

Prepare informational or reference materials.
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Method

How this was scored

  1. 1. Tasks. O*NET task statements for this occupation, from a release whose newest record is dated 08/2026.
  2. 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. 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. 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

See the full method →

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