Will AI replace Fundraising Managers?

Plan, direct, or coordinate activities to solicit and maintain funds for special projects or nonprofit organizations. The percentage shown is a task-exposure model, not a prediction of certain job loss.

O*NET 30.3 · 11-2033.00 · modeled exposure, not guaranteed job loss
MODERATE TASK EXPOSURE
36%
Estimated share of representative tasks exposed to current AI capabilities.
Last updatedAugust 20, 2026
Evidence confidenceMedium
Browse this risk tierModerate exposure jobs →
Task automation shareⓘ
36%Automatable
Automatable36%
Augmentable32%
Hard to automate32%
Based on analysis of representative responsibilities and current AI capability maturity.
Category#
Admin & Ops
Back office / Ops
Modeled pay midpoint$
$59,900/yr
Directional estimate — verify locally
Time until impact⌁
2–4 years
Earliest 2027 · widespread 2029–2031
Task-level replaceability ⓘ
Representative tasks ranked from highest to lowest AI exposure.
◇Develop strategies to encourage new or increased contributions.46%
⚙Manage fundraising budgets.35%
▥Develop fundraising activity plans that maximize participation or contributions and minimize costs.23%
✦Exception handling and organizational context22%
✦Discretion with sensitive decisions18%
Impact timeline ⓘ
How AI assistance may move from early support to wider adoption.
2027Next2029–2031
Early impactAI begins supporting develop strategies to encourage new or increased contributions..
Role reshapingRepeatable tasks become faster and more automated.
Wider adoptionThe role centers more on exception handling and organizational context.
2–4 yearsdirectional confidence window
HOW AI CHANGES THIS JOBtyping the logic in plain English
01>Start with the real work done by Fundraising Managers.
02>AI can help with: Develop strategies to encourage new or increased contributions.
03>If a task is repetitive and easy to check, AI pressure goes up.
04>But a person is still needed for: Exception handling and organizational context.
05>Likely result: AI is more likely to change this job than remove it.
06>Important: 36% is estimated task exposure—not a 36% chance of losing the job.
What AI can do
Develop strategies to encourage new or increased contributions.MEDIUM
Manage fundraising budgets.LOW MATCH
Develop fundraising activity plans that maximize participation or contributions and minimize costs.LOW MATCH
How estimates work →
Your human moat
◆

Exception handling and organizational context

MEDIUM-HIGH

Combined with discretion with sensitive decisions, this keeps a human in the loop.

Strength8.3
Similar-role comparison
RoleRisk
Fundraising Managers36%
Management Consultant36%
Purchasing Managers35%
Managers, All Other34%
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Why this score?

✓The model evaluates 3 representative core tasks.
✓The role mixes repeatable work with human judgment.
✓Occupation and task language comes from O*NET 30.3.
✓The strongest human advantage is exception handling and organizational context.
Research basis

O*NET 30.3 occupation tasks plus the ILO 2025 exposure framework. Scores are directional estimates.

Read ILO research →
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Sources for this report

Official occupation tasks; timeline remains uncertain Scores are directional estimates and sources do not endorse this site’s exact percentage.

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These roles are in Admin & Ops and have lower modeled task exposure. Transferability depends on your skills, location, and qualifications.

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