What is The State of Nonprofit Fundraising with AI white paper about?

It reviews the June 2026 fundraising landscape for U.S. nonprofit leaders, including resilient giving dollars, shrinking donor participation, digital discovery shifts, AI adoption, AI governance, and a 90-day action plan for operating discipline.

Who should read this nonprofit AI fundraising report?

Chief development officers, fundraising executives, digital and direct response leaders, data and analytics teams, and nonprofit CEOs can use it to prioritize AI use cases, governance, measurement, and donor relationship workflows.

Does the white paper focus only on generative AI copywriting?

No. The paper argues that AI's strategic fundraising value is not simply producing more donor copy; it is helping teams know who to engage, when to engage, why to engage, and how to measure durable generosity.

What practical planning guidance is included?

The paper includes priority AI use cases, governance guardrails, and a 90-day action plan covering diagnosis, policy and data preparation, pilot workflows, measurement, and scale decisions.

June 2026 white paper

The state of nonprofit fundraising with AI: strategy beyond adoption...

The State of Nonprofit Fundraising with AI
A June 2026 State of the Union Review for U.S. nonprofit leaders. See why resilient dollars, fewer donors, and widespread AI adoption demand a disciplined relationship operating system.

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Inside the paper:

Why fundraising growth can mask donor-base fragility and participation erosion.
The AI adoption-impact gap: why tool access is not the same as operating discipline.
Six fault lines for nonprofit leaders: discovery, trust, broad-base giving, governance, and more.
A 90-day action plan for AI use cases, policy, pilot workflows, and measurable outcomes.

The State of Nonprofit Fundraising with AI PDF • 13 pages Instant access after submit

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What you will learn

Read the two dashboards

Understand how total giving can be resilient while donor participation weakens - and what that means for retention, acquisition, and pipeline health.

Move past AI novelty

Separate individual AI experimentation from shared workflows, human review, outcome measurement, and practical fundraising operating discipline.

Prepare for answer engines

See why donation pages, impact proof, FAQs, program pages, and structured content matter as AI-mediated discovery changes supporter journeys.

Build trust into AI

Translate governance into fundraising practice with approved tools, data boundaries, fact standards, human review, bias checks, and recordkeeping.

Signals from the June 2026 scorecard

$592.50B Total U.S. charitable giving in 2024, a strong national baseline.

+5.0% / -3.6% 2025 dollars up while donor counts declined, showing the risk under the topline.

92% / 7% High AI use, but few nonprofits reporting major capability gains.

47% Surveyed nonprofits without an AI governance policy.

90-day action plan

From AI curiosity to fundraising operating discipline

The report turns market signals into a practical sequence for leaders: diagnose workflows, govern data and tools, pilot high-value use cases, and scale what measurably improves generosity.

Days 1-15: Diagnose

Map workflows, AI usage, CRM and data health, risks, bottlenecks, baseline KPIs, and use-case priorities.

Days 16-30: Govern

Define approved tools, minimum viable policy, essential data cleanup, review standards, and ownership.

Days 31-60: Pilot

Launch focused pilots around stewardship, mid/major prioritization, and donation-page or answer-engine optimization.

Days 61-90: Scale

Compare results to baseline, refine workflows, brief leadership, update governance, and decide what to expand.

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Questions this paper answers

What is the state of nonprofit fundraising with AI?

Giving dollars remain resilient, but participation is fragile. AI adoption is widespread, yet strategy, governance, shared workflows, and measurable impact are still scarce.

Who should download it?

Nonprofit CEOs, CDOs, fundraising executives, direct response leaders, digital teams, and analytics or IT stakeholders who need a practical AI fundraising roadmap.

What does it recommend?

Prioritize high-value donor lifecycle workflows such as second-gift conversion, mid-level and major-gift prioritization, monthly giving, DAF readiness, lapsed donor reactivation, and governance.

How does Squark AI fit?

Squark AI helps nonprofit teams turn donor data into predictions, next-best actions, prioritization, and measurable workflows - so AI supports relationship fundraising instead of replacing it.