Fundraisers
In short: today's best AI models could do about 48% of this job's working time (projected from METR's April 2026 measurement and Epoch's November 2026 index) if the work were set up for them, and about 71% by the end of 2028 if progress keeps its long-run pace. The conversations, in-person and hands-on work, about 28% of the time, stays with people.
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.
111,040 people do this job in the US. $72,550 a year.
Reviewed on September 30, 2026: what each task is made of, and what handing it over would ask.
A typical 40-hour week
- AI could take on4 h
- A person checks AI's work15 h
- Desk work AI can't do yet10 h
- Stays with people11 h
Fundraisers, now: of a 40-hour week, AI could take on 4 hours, 15 hours become checking its work, 10 hours are desk work it can't do yet, and 11 hours stay with people.
The largest pieces: Develop contribution strategies (about 6 h, a person checks); Research potential donors (about 4 h, a person checks); Run giving campaigns and direct mail (about 1 h, a person checks).
Estimates for a typical week of this job, if progress keeps its long-run pace, counting work the best models finish four times in five. Every task is below.
of the working time. Now is projected from METR's April 2026 measurement and Epoch's November 2026 index.
- 60%
- 12%
- 14%
- 13%
- 0%
of the work: Anthropic's measure of what people already bring to Claude at work (2025). It counts help with part of a task, so it can be higher than the share within reach.
On the chosen pace and reliability. Estimate.
Share of the working time within reach, now to 2030
Change assumptionsHide assumptionsLong-run pace, four in five
What each choice means: , , , , . Every pace starts from .
At this date and pace, models finish tasks up to 2.4 work days long four times in five.
What handing it over would take, now
The 48% within reach splits by what a model would need. The dates, pace and reliability follow the controls above. Estimates.
of the working time. The material can be handed to a model and the result handed back.
of the working time. The model has to be connected to the system the work lives in.
is conversation short enough by length. This site leaves conversation with people, so it is not in the total.
How far this has come
With GPT-4, measured in March 2023, 0% of this job's working time was within reach at . With Claude 3.7 Sonnet, measured in February 2025, 0%. With Claude Mythos Preview (early), measured in April 2026, 11%. Today's estimate: 48%.
A backcast: today's task data with the best model METR had measured by each date. It shows how fast the models have moved, not what anyone forecast at the time.
Measured use over time
Of the Claude.ai conversations Anthropic sampled and tied to a work task, 0.064% went to this job's tasks in May 2026, the 209th largest of the 447 jobs that showed up at all; 2 of its 28 tasks showed up. Within each of Anthropic's methods, never across a change: 0.05% to 0.087% (released February and March 2025); 0.041% to 0.073% (August 2025 to February 2026); 0.057% to 0.064% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.05% | 276 of 708 | 8 of 28 |
| Released March 2025 | 0.087% | 174 of 703 | 10 of 28 |
| The week of Aug 4, 2025 (released September 2025) | 0.041% | 268 of 655 | 11 of 28 |
| The week of Nov 13, 2025 (released January 2026) | 0.079% | 181 of 672 | 12 of 28 |
| The week of Feb 5, 2026 (released March 2026) | 0.073% | 205 of 677 | 12 of 28 |
| April 2026 (released June 2026) | 0.057% | 219 of 434 | 2 of 28 |
| May 2026 (released June 2026) | 0.064% | 209 of 447 | 2 of 28 |
Measured, not estimated: Anthropic's samples of Claude.ai conversations, each tied by a model to an O*NET task, from the Anthropic Economic Index. It says where Claude's use goes, not how much of this job's working time it covers, so it is not on the same scale as the reach above. The releases differ in their sample, their classifier and the smallest share they report (the June 2026 file rounds each task to a hundredth of a percent, so a smaller task reads as none), which is why a change of method starts a new line. At least 96% of each older release's task-tied use matched this site's tasks, and all of the newest. Claude.ai only, so use through other tools and other companies' models is not in it. Every job ranked.
Robots and the physical work
Anthropic rates 1% of this job's working time as physical work. For 1% of the working time, a robot has been shown doing most of the task somewhere: 1% in a purpose-built cell. 0.01 of 3, the 650th highest of the 923 jobs.
- Not physical 99%
- In a purpose-built cell 1%
Anthropic's rating, not this site's estimate: Claude Opus 5, searching the web, rated each physical O*NET task by the kind of setting in which a robot it could cite (deployed, sold or demonstrated) does most of the task, weighted by its own estimate of each task's share of the time (What work can robots do?, September 30, 2026, data CC BY 4.0; every job ranked). A robot shown somewhere is not a robot in your building: cost, setup and safety decide that. The share within reach on this page still counts no body work. The robot behind each rated task is under the task below.
What changes for the people in this job
From the task-by-task review, by the end of 2028 on the long-run pace at four in five. It says which parts of the work stay with people and which change, not whether anyone keeps a job: that depends on decisions no data set can see.
What stays with people
27% of the working time: the conversation, in-person and hands-on parts of the tasks.
- Build donor relationships, the conversation, 7%
- Secure donations and commitments, the conversation, 5%
- Attend community events, the in-person work, 4%
- Solicit donations and sponsorships, the conversation, 4%
- Supervise fundraising staff and volunteers, the conversation, 3%
- Plan and direct special events, the conversation, 3%
What becomes checking the machine
60% of the working time: desk work a model could do by then, in tasks where a mistake costs something or a licensed person signs. A person checks it. Another 10% is desk work that is small if wrong, which can be handed over with lighter checks.
- Develop contribution strategies, costly if wrong, 19%
- Run giving campaigns and direct mail, costly if wrong, 18%
- Research potential donors, costly if wrong, 10%
- Develop fundraising activity plans, costly if wrong, 3%
- Prepare grant submissions, costly if wrong, 2%
- Set fundraising goals, costly if wrong, 2%
What to learn
- Reviewing work you did not do yourself. The tasks under What becomes checking the machine, where a mistake costs something, stay a person's to check: spotting what a draft gets wrong is a skill of its own.
- Briefing a model and checking its drafts. About 60% of the time is documents and data, the part models reach first: writing a clear brief, giving the right material, and checking what comes back.
- The conversations. About 28% of the time is conversation and in-person work, which this site leaves with people: listening, explaining, persuading, calming.
- Dealing with people outside the organization. Customers, patients, suppliers or the public: trust with them is built by a person.
- Running AI inside the business systems. About 12% of the time is work inside business systems, which a model can do only once it is connected: knowing the systems well enough to set that up and watch it.
Your own version of this job: read it against your job description. The headline is free; the full personal report, every task with its timeline and what to learn, is $19 (a sample).
The tasks
Sorted by . 28 tasks from .
| Task | ||||
|---|---|---|---|---|
| Develop strategies to encourage new or increased contributions.Strategies worked out on paper.Done more than monthly by most who do it. | 19% | 1 work day3.3 h to 2.1 work days | Documents 100% | 76%Half by now |
| Develop or implement fundraising activities, such as annual giving campaigns or direct mail programs.Campaigns planned on paper and run through the systems.Done daily by most who do it. | 19% | 1.7 work days3.3 h to 1.7 work weeks | Documents 60%, systems 40% | 20%Half by Aug 2027 |
| Conduct research to identify the goals, net worth, charitable donation history, or other data related to potential donors, potential investors, or general donor markets.Research on donors' interests and giving history.Done more than weekly by most who do it. | 10% | 4.2 h1.7 h to 1 work day | Documents 100% | 97%Half by now |
| Identify and build relationships with potential donors.Calls and meetings with prospective donors, with the research behind them.Done several times a day by most who do it. | 9% | 1.7 h38 min to 4.2 h | Conversation 40%, in person 40%, documents 20% | 20%Desk part half by now |
| Secure commitments of participation or donation from individuals or corporate donors.Asking for the gift in person and by call.Done more than weekly by most who do it. | 5% | 1.7 h25 min to 6.7 h | Conversation 50%, in person 50% | Stays with people |
| Direct or supervise fundraising staff, including volunteer staff members.Conversations with staff and volunteers, with the planning.Done daily by most who do it. | 5% | 2.1 h50 min to 4.2 h | Conversation 60%, documents 40% | 40%Desk part half by now |
| Solicit cash or in-kind donations or sponsorships from individual, business, or government donors.Asks by call and in person, with the written proposals.Done more than monthly by most who do it. | 5% | 1.7 h25 min to 5 h | Conversation 50%, in person 30%, documents 20% | 19%Desk part half by now |
| Plan and direct special events for fundraising, such as silent auctions, dances, golf events, or walks.Events planned on paper, arranged by call, and directed on the day.Done more than yearly by most who do it. | 4% | 2.5 work days6.7 h to 1.3 work weeks | Documents 40%, conversation 30%, in person 30% | 8%Desk part half by May 2027 |
| Attend community events, meetings, or conferences to promote organizational goals or solicit donations or sponsorships.Presence at events to promote the cause and solicit.Done more than monthly by most who do it. | 4% | 3.3 h1.7 h to 6.7 h | In person 100% | Stays with people |
| Design or produce materials such as posters, Web sites, or newsletters to promote, market, or advertise fundraising events.Posters, web pages and newsletters designed.Done more than monthly by most who do it. | 3% | 4.2 h1.7 h to 1.3 work days | Documents 100% | 93%Half by now |
| Create or update donor databases.Records kept in the donor system.Done daily by most who do it. | 3% | 38 min13 min to 2.5 h | Systems 100% | 100%Half by now |
| Develop fundraising activity plans that maximize participation or contributions and minimize costs.Plans written to maximize participation and gifts.Done more than yearly by most who do it. | 3% | 1 work day2.5 h to 3.1 work days | Documents 100% | 52%Half by now |
Within reach, per task: the share of the task's time whose instances are short enough for a model to finish at the chosen date, pace and reliability. Half by: the date half of that time comes within reach. Made of: how the task's time splits among five kinds of doing. Only the documents and systems parts can count as within reach, so a task that is 30% documents can be at most 30% within reach.
Jobs that share skills with this one
From O*NET's related occupations. Within reach now and by the end of 2028, long-run pace, four in five.
- Fundraising Managers47% now, 74% by 2028
- Public Relations Specialists34% now, 72% by 2028
- Advertising and Promotions Managers60% now, 85% by 2028
- Social and Community Service Managers36% now, 51% by 2028
- Meeting, Convention, and Event Planners38% now, 45% by 2028
- Public Relations Managers37% now, 59% by 2028
Where this job works
The industry groups that employ the most of it (BLS, May 2025).
Where the most of these jobs are
The metro areas with the most people in it (BLS, May 2025).
Questions about this job
- How much of the work of Fundraisers is within reach of AI now?
- An estimated 48% of the working time is within reach of AI models now and 71% by the end of 2028, on METR's long-run pace at four in five (65% to 72% across the three paces the site shows). Within reach means a model could finish work that long at that reliability. It is not a forecast of jobs lost or of savings.
- Which tasks of Fundraisers come within reach first?
- Weighted by the time each takes, the tasks with the most within reach now (projected from METR's April 2026 measurement and Epoch's November 2026 index) are: Develop contribution strategies (76% of the task's time now, 100% by the end of 2028); Research potential donors (97% of the task's time now); and Run giving campaigns and direct mail (20% of the task's time now, 95% by the end of 2028).
- Which tasks of Fundraisers stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Secure donations and commitments; Attend community events; and Explain tax advantages to donors. Together such tasks are about 11% of the working time, and the people and body parts of the other tasks stay with people too.
- What should Fundraisers learn as AI takes on more of the work?
- By the job's own task-by-task review, the first things to learn are reviewing work you did not do yourself; briefing a model and checking its drafts; and the conversations. By the end of 2028 on the long-run pace at four in five, about 27% of the working time stays with people, 60% becomes checking a model's work and 10% could be handed over with lighter checks. It says which parts of the work change, never whether anyone keeps a job.
- Do people already use AI for the work of Fundraisers?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.064% went to this job's tasks, the 209th largest share of the 447 jobs that showed up; 2 of its 28 tasks appeared. Anthropic's labor market measure puts the share of the job's tasks seen in real Claude use at work at 5%. These are measures of use, not of how much of the work AI could finish, and they cover Claude only.
- Can robots do the physical work of Fundraisers?
- Anthropic's robot exposure rating (September 2026) finds 1% of the working time is physical work, and that a robot has been shown doing most of the task, somewhere, for 1% of the working time. Its index is 0.01 of 3. One example: Quadient DS-series folder inserters (e.g., DS-1200 iQ) for "prepare event materials". A robot shown somewhere is not one in every workplace; this site's own estimates still count no physical work as within reach.
- How is this estimated?
- From the 28 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, reviewed one task at a time on September 30, 2026 for what each is made of (documents, business systems, conversation, in person, hands-on), and METR's measurements of how long a task the best AI models can finish, carried forward to the date from the latest, Claude Mythos Preview (early) in April 2026. Data checked November 10, 2026.
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