Fundraising Managers
In short: today's best AI models could do about 47% 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 74% by the end of 2028 if progress keeps its long-run pace. The people and hands-on work, about 26% of the time, stays with people.
Plan, direct, or coordinate activities to solicit and maintain funds for special projects or nonprofit organizations.
38,810 people do this job in the US. $125,470 a year.
A typical 40-hour week
Not yet reviewed task by task- AI could take on19 h
- A person checks AI's work0 h
- Desk work AI can't do yet11 h
- Stays with people10 h
Fundraising Managers, now: of a 40-hour week, AI could take on 19 hours, 0 hours become checking its work, 11 hours are desk work it can't do yet, and 10 hours stay with people.
The largest pieces: Develop strategies to encourage new or increased contributions (about 5 h); Develop fundraising activity plans that maximize participation or contributions and minimize costs (about 3 h); Conduct research to identify the goals, net worth, charitable donation history, or other data related to potential donors, potential investors, or general donor markets (about 2 h).
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.
- 74%
- 10%
- 16%
Anthropic's data does not cover this job.
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.
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, 4%. Today's estimate: 47%.
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, 0.048% went to this job's tasks in May 2026, the 235th largest of the 447 jobs that showed up at all; 1 of its 16 tasks showed up. Within each of Anthropic's methods, never across a change: 0.028% to 0.078% (released February and March 2025); 0.061% to 0.094% (August 2025 to February 2026); 0.045% to 0.048% (April to May 2026).
Each release
| Conversations | Share | Rank | Tasks seen |
|---|---|---|---|
| Released February 2025 | 0.028% | 381 of 708 | 3 of 16 |
| Released March 2025 | 0.078% | 192 of 703 | 4 of 16 |
| The week of Aug 4, 2025 (released September 2025) | 0.061% | 215 of 655 | 6 of 16 |
| The week of Nov 13, 2025 (released January 2026) | 0.074% | 192 of 672 | 5 of 16 |
| The week of Feb 5, 2026 (released March 2026) | 0.094% | 169 of 677 | 5 of 16 |
| April 2026 (released June 2026) | 0.045% | 232 of 434 | 1 of 16 |
| May 2026 (released June 2026) | 0.048% | 235 of 447 | 1 of 16 |
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 almost none of this job's working time as physical work, so robots do not reach it.
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.
The tasks
Sorted by . 16 tasks from .
| Task | Kind | |||
|---|---|---|---|---|
| Develop strategies to encourage new or increased contributions.Done daily by most who do it. | 16% | 1 work day3.3 h to 2.1 work days | 76%Half by now | |
| Plan and direct special events for fundraising, such as silent auctions, dances, golf events, or walks.Done more than weekly by most who do it. | 16% | 2.5 work days6.7 h to 1.3 work weeks | Stays with people | |
| Develop fundraising activity plans that maximize participation or contributions and minimize costs.Done more than weekly by most who do it. | 13% | 1 work day2.5 h to 3.1 work days | 52%Half by now | |
| Compile or develop materials to submit to granting or other funding organizations.Done more than monthly by most who do it. AI observed on this task. | 13% | 1.7 work days3.3 h to 4.2 work days | 31%Half by Mar 2027 | |
| Establish goals for soliciting funds, develop policies for collection and safeguarding of contributions, and coordinate disbursement of funds.Done more than monthly by most who do it. | 10% | 1.3 work days3.3 h to 3.8 work days | 47%Half by Nov 2026 | |
| Conduct research to identify the goals, net worth, charitable donation history, or other data related to potential donors, potential investors, or general donor markets.Done more than yearly by most who do it. | 5% | 4.2 h1.7 h to 1 work day | 97%Half by now | |
| Establish and maintain effective working relationships with clients, government officials, and media representatives and use these relationships to develop new fundraising opportunities.Done more than weekly by most who do it. | 5% | 3.3 h50 min to 1 work day | 86%Half by now | |
| Assign, supervise, and review the activities of fundraising staff.Done more than monthly by most who do it. | 5% | 3.3 h50 min to 1 work day | Stays with people | |
| Manage fundraising budgets.Done more than monthly by most who do it. | 5% | 5 h1.7 h to 1.6 work days | 83%Half by now | |
| Direct activities of external agencies, establishments, or departments that develop and implement fundraising strategies and programs.Done daily by most who do it. | 5% | 4.2 h1.7 h to 1.7 work days | Stays with people | |
| Formulate policies and procedures related to fundraising programs.Done more than yearly by most who do it. | 2% | 1 work day2.5 h to 3.1 work days | 52%Half by now | |
| Contact corporate representatives, government officials, or community leaders to increase awareness of organizational causes, activities, or needs.Done more than yearly by most who do it. | 2% | 1.7 h38 min to 5 h | 99%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.
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.
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 Fundraising Managers is within reach of AI now?
- An estimated 47% of the working time is within reach of AI models now and 74% by the end of 2028, on METR's long-run pace at four in five (71% to 74% 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 Fundraising Managers 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 strategies to encourage new or increased contributions (76% of the task's time now, 100% by the end of 2028); Develop fundraising activity plans that maximize participation or contributions and minimize costs (52% of the task's time now, 100% by the end of 2028); and Conduct research to identify the goals, net worth, charitable donation history, or other data related to potential donors, potential investors, or general donor markets (97% of the task's time now).
- Which tasks of Fundraising Managers stay with people?
- Tasks that are people work or body work are not counted as within reach at any date. The largest: Plan and direct special events for fundraising, such as silent auctions, dances, golf events, or walks; Assign, supervise, and review the activities of fundraising staff; and Direct activities of external agencies, establishments, or departments that develop and implement fundraising strategies and programs. Together such tasks are about 26% of the working time.
- Do people already use AI for the work of Fundraising Managers?
- In the Claude.ai conversations Anthropic sampled for May 2026 and tied to a work task, 0.048% went to this job's tasks, the 235th largest share of the 447 jobs that showed up; 1 of its 16 tasks appeared. 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 Fundraising Managers?
- Anthropic's robot exposure rating (September 2026) finds almost none of the working time is physical work, so robots do not reach it.
- How is this estimated?
- From the 16 tasks O*NET lists for the occupation, each with an estimated length checked against GDPval and a share of the working time, each classed as desk, people or body work, 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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