By George Irish

We’re two years into the Age of Artificial Intelligence (AI), and for the charitable and nonprofit sector the picture is looking alarmingly unbalanced.

Big tech investors are pouring billions into silicon-valley AI startups while nonprofits are still watching from the sidelines.

Many charitable organizations with tightening budgets are hesitating to invest in AI, understandably worried about the cost, bias, data privacy, and impacts on the communities they serve. These concerns are valid. However, taking advantage of AI can amplify the voices of nonprofits, helping them to better serve marginalized people and causes.

Now is the time for nonprofits to use AI to extend their capabilities, streamline operations, and free up staff for mission-critical work.

The AI funding challenge for nonprofits

Some nonprofits face financial barriers to implementing even basic AI tools like ChatGPT. A $20 per month fee per user seems affordable, but it adds up quickly when you’re making AI tools available to your full staff. While businesses can see quick returns on AI investments that improve productivity and efficiency, most nonprofits have longer ROI timelines.

This funding gap creates more than just a tech divide—it puts nonprofits at a strategic disadvantage.

Research shows that adopting AI tools delivers solid returns through better efficiency. Organizations using AI report up to 30% lower administrative costs and 40% higher productivity. Yet philanthropic investment in nonprofit tech remains tiny and funding sources are few — less than 2% of foundation grants support technology adoption.

Yet, allocating funds to AI can generate significant benefits that help nonprofits thrive in today’s challenging climate:

• Better donor engagement: AI tools can segment audiences, predict giving patterns, and tailor messages to specific interests.
• Data-driven decisions: AI-powered analytics help organizations understand program impacts and community needs.
• Automated routine work: Administrative burdens like data entry and reports can be streamlined, freeing staff for relationship-building.
• Wider reach: Automated translation, chatbots, and personalized content let nonprofits engage broader audiences without hiring more staff.

Investing in AI isn’t optional any longer. For staying relevant, it’s essential.

There’s good news: help is on the way. A growing ecosystem of corporate giving, government grants, and AI-for-Good-backers is emerging.

Funding sources that can help Canadian nonprofits to harness AI’s potential

The major AI tech players have already recognized the crucial role that nonprofits play in charting the path to ethical AI. Many have created philanthropy programs to support nonprofit AI adoption, ranging from discounted tools to funding and technical help.

Microsoft Philanthropies leads in nonprofit AI support. Their Nonprofit Leadership Summit has become a key forum where nonprofit leaders share practical AI strategies. Microsoft Copilot for Nonprofits offers subsidized access to advanced AI that works with existing Microsoft 365 nonprofit tools.

Google.org has launched the Generative AI Accelerator, a global program combining significant funding, six months of hands-on technical mentorship, and structured training. Additionally, eligible nonprofits can use AI features—including Gemini—in Google Workspace for Nonprofits at no cost, with more advanced AI tools available at discounted rates in paid editions.

OpenAI offers a 20% discount on ChatGPT Team and up to 25% off on Enterprise plans for eligible nonprofits. These tools are widely used for grant writing and proposal development, with organizations reporting substantial time savings and improved efficiency. Through a partnership with the GitLab Foundation, OpenAI provides API access credits and technical support to nonprofits building custom AI applications.

Anthropic’s Claude AI, designed with a constitutional AI approach emphasizing safety and ethics, offers tools that align with nonprofit values. Their AI for Science Program provides up to $20,000 in API credits to research-focused nonprofits and academic teams with significant social impact potential.

Government and Industry funding opportunities: Through a growing array of targeted grants, funding programs, and technical support, these organizations are helping nonprofits, research institutions, and businesses access the resources they need to innovate with AI.

Regional Artificial Intelligence Initiative is part of Canada’s $200 million national investment in AI, delivered through regional development agencies to accelerate AI adoption and commercialization across sectors. Nonprofits are eligible for up to 90% coverage of eligible costs for non-commercial AI projects, making this initiative a valuable opportunity for organizations aiming to integrate AI into areas like healthcare, clean technology, or agriculture, even with limited upfront resources.

Scale AI, Canada’s national AI innovation cluster, funds collaborative projects that bring together nonprofits, businesses, and academic institutions to develop and deploy AI solutions. Rather than direct grants, Scale AI reimburses 40-50% of eligible project costs (and up to 100% for healthcare projects), supporting expenses such as salaries, research, and technology — making it a strong option for nonprofits that can partner with businesses or researchers to address social or sectoral challenges using AI.

National Research Council Canada’s Industrial Research Assistance Program (IRAP) primarily funds small- and medium-sized businesses but encourages partnerships with nonprofits for technology-driven community projects. While nonprofits are not usually direct recipients, those collaborating with a small- or medium-sized business can benefit from IRAP’s support — covering up to 80% of technical salaries and 50% of contractor costs — making it a practical pathway for nonprofits to co-develop AI solutions with private sector partners for social impact.

Provincial programs: Ontario’s AI Hub offers training, networking, and advocacy to help organizations — including nonprofits — adopt artificial intelligence, though direct funding is not explicitly mentioned. Quebec’s support for French-language AI applications is referenced in policy discussions, but specific nonprofit funding details are limited.

RBC Tech for Nature is a $100-million initiative supporting nonprofits and universities that use AI and digital tools for environmental sustainability, often in partnership with academic institutions.

The TD Ready Challenge awards up to $1 million annually to nonprofits and charities for innovative projects, including those using AI, with focus areas that change each year. Technical support is not always included.

BMO supports nonprofits through partnerships, mentorship, and funding for AI-related projects, often collaborating with organizations like the Vector Institute, though it does not offer a dedicated AI grant program for nonprofits.

AI for Good and Tech to the Rescue’s AI for Changemakers: These are two examples of tech consortiums and platforms that connect nonprofits with pro-bono AI experts, shared resources, and open-source tools. These collaborations are designed to bridge the technology gap for nonprofits, providing access to AI talent, mentorship, and technology that accelerates social impact and helps organizations achieve their goals more efficiently.

By leveraging these grant and support programs, nonprofits can gain greater access to cutting-edge AI technology, funding, and expertise and get a solid start down the AI adoption path.

Applying for AI grants

Nonprofits and charities applying for AI grants need more than just enthusiasm for the new technology. You need to have a strategic approach that demonstrates how AI will advance your organization’s core mission. Here are some key tips to strengthen your application:

1. Show mission-driven impact

Clearly articulate how AI will directly enhance your mission delivery, not just add technical complexity. Funders want to see that AI is a tool for greater impact, not an end in itself.

• Develop realistic technical plans: Outline achievable project milestones and technical requirements.
• Build sustainable budgets: Present a budget that covers both initial implementation and ongoing maintenance.
• Include strong evaluation frameworks: Define metrics to measure both technical performance and mission-related outcomes.

2. Demonstrate organizational capacity

An assessment of your current capacity reassures funders of your AI-readiness and highlights where support is needed.

• Audit your digital and IT infrastructure: Document your existing systems, data quality, and integration needs to establish a clear starting picture.
• Identify staff skills and AI leaders: Inventory technical expertise and AI-enthusiasm within your team to identify strengths, gaps, and champions.

3. Clear needs statement

Funders are more likely to support projects that address clear, mission-critical needs.

• Differentiate essential vs. optional functions: Focus your proposal on high-impact, mission-critical applications of AI.
• Conduct a pain-point analysis: Quantify current inefficiencies to demonstrate where AI can deliver measurable improvements.
• Highlight ROI potential: Show how the project will be financially sustainable, potentially generating value beyond the initial grant.

4. Address ethics and organizational culture

Responsible AI adoption is a top concern for funders.

• Demonstrate value alignment: Explain how your approach to AI aligns with your organization’s values and the funder’s priorities.
• Showcase privacy and data ethics: Provide a clear overview of your data management and privacy practices.
• Plan for change management: Identify potential resistance and include a budget for staff training and communication to support organizational buy-in.

5. Start with practical, high-impact projects

Begin with projects that are achievable and visible, building momentum for future work.

• Identify “low-hanging fruit”: Propose simple, high-visibility projects for your initial funding request.
• Select effective pilot projects: Use pilots to test potential AI tools and gain vital insights before you commit significant resources.
• Map your support ecosystem: Show how you will leverage partnerships and existing resources to maximize the funder’s investment.

By following these tips, you’ll present a compelling, credible case for AI funding that balances ambition with realism and responsibility.

AI-empowered nonprofits lead the way to responsible AI

Strong nonprofit voices are needed to make the vision of safe, responsible, and inclusive AI a reality. As more nonprofits actively join the AI revolution, they’re bringing vital perspectives on equity, accessibility, and community impact that are otherwise missed. The time for hesitation is over—your organization’s unique mission and community insights are too valuable to leave on the sidelines of this technological transformation.

Do we really want to leave the future of AI to Microsoft, Google, and Facebook?

 

George Irish is a veteran of strategy, coaching and consulting for AI-powered charity fundraising. He works with Amnesty International Canada and Greenpeace among other organizations. He writes this column exclusively for each issue of Foundation Magazine.

The Canadian Centre for Nonprofit Digital Resilience (CCNDR)

Helping nonprofits thrive in a tech-driven world

CCNDR’s purpose is to provide the essential non-profit sector with the skills and tools it needs to thrive and serve the needs of the community.

Pulling together a large and diverse group of experts, CCNDR provides support to charities and nonprofits, helping them to confidently adopt and use technology and data to advance their mission and multiply their impact.

• Sector research: They produce and share insights on Canada’s nonprofit tech workforce and digital skills.
• Collaboration & support: They enable partnerships and provide expert advice to ensure equitable and ethical AI adoption across the sector.
• Practical resources provided to help organizations navigate AI adoption.

Learn more and sign up for CCNDR’s email newsletter at www.ccndr.ca