AI for Nonprofits

A practical guide

What does AI actually mean for nonprofits?

AI isn’t one thing — it’s a collection of tools that can write, analyse, summarise, and automate tasks your team currently does by hand. The useful stuff isn’t futuristic. It’s here now, and it’s surprisingly accessible.

If you’ve used ChatGPT, Google Gemini, or Microsoft Copilot, you’ve already used AI. These tools have moved from novelty to genuinely useful in a remarkably short time. For a nonprofit team with more work than people, that matters.

The practical applications fall into a few buckets: writing and communications, donor engagement, data and reporting, and internal operations. The headline is this: AI tools are best understood as a capable junior team member. They’re fast, they don’t get tired, and they can handle a solid first draft of almost anything. They also need supervision, make confident-sounding mistakes, and have no understanding of your organisation’s context unless you provide it.

That last point is important. AI doesn’t replace your expertise — it amplifies it. A good fundraiser using AI tools will produce better work faster. AI on its own will produce plausible-sounding work that misses the mark.

Is it ethical for nonprofits to use AI?

Article 1 • 31 MAR 2026

Is it ethical? Yes — but it's a qualified yes, and the qualifications matter. AI raises genuine ethical questions that deserve honest answers, not dismissal.

Your team is already using AI — now what?

Article 2 • 31 MAR 2026

If you haven't formally adopted AI tools, your team is probably using them anyway. A 2024 survey found that over 70% of knowledge workers had used generative AI at work, and most hadn't told their employer. Your staff are drafting emails in ChatGPT, summarising meeting notes, and writing grant applications with AI assistance — right now, on their personal accounts.

Where can AI help nonprofits right now?

Article 3 • 31 MAR 2026

AI tools are most useful where you have repetitive tasks, high volume, or a capable person who's stretched too thin. Here's where we see nonprofits getting genuine value.

How should nonprofits get started with AI?

Article 4 • 31 MAR 2026

Start small, start with low-risk tasks, and build confidence before you go big. The organisations that get the most from AI are the ones that experimented early and learned what works for them.

What’s coming next in AI for nonprofits?

Article 5 • 31 MAR 2026

AI is evolving fast, and some changes will matter more to nonprofits than others. These are the trends already in motion.

ChatGPT (openai.com) — the most widely used general-purpose AI tool. Free tier available; paid tiers offer better quality and data privacy.
Claude (claude.ai) — strong at long-form writing, analysis, and nuanced tasks. Good option for grant writing and policy drafts.
Google Gemini (gemini.google.com) — integrated with Google Workspace. Useful if your team already lives in Google Docs.
Microsoft Copilot (copilot.microsoft.com) — integrated with Microsoft 365. Useful if your team uses Outlook, Word, and Teams.
Canva Magic Write (canva.com) — AI writing tools built into Canva’s design platform. Good for social media content.
Otter.ai (otter.ai) — AI meeting transcription and summaries.
Connecting Up (connectingup.org) — technology support and discounted software for Australian nonprofits, including AI readiness resources.

If you’d like help figuring out where AI fits in your organisation — or building an AI use policy that actually gets used — we’re happy to chat. We use these tools every day in our work with nonprofits, and we’re still learning too. That’s what we’re here for.