AI Grants for Nonprofits in 2026: A Guide to Available Funding
Technology companies and major foundations have committed hundreds of millions of dollars to help nonprofits adopt and benefit from AI. Here is where that money is, who is eligible, and how to position your organization to access it.
Something significant has happened in the nonprofit technology funding landscape over the past eighteen months. Major technology companies, previously focused on enterprise and consumer markets, have made substantial commitments to help nonprofits access and benefit from AI. Simultaneously, major foundations have redirected significant portions of their grantmaking toward AI-related work, both supporting nonprofits in adopting AI and funding organizations working to ensure that AI development serves the public interest. The result is a funding environment unlike anything that has existed in prior technology cycles.
The total funding available runs into the hundreds of millions of dollars across programs from OpenAI, Google.org, Amazon Web Services, IBM, Microsoft, KPMG, and a coalition of major foundations. Some of these programs offer unrestricted cash grants that organizations can use however they choose. Others offer pro bono technology access, consulting support, or structured accelerator programs. All of them represent genuine opportunities for nonprofits that understand what funders are looking for and position their proposals accordingly.
This article provides a comprehensive guide to the most significant AI grant programs available to nonprofits in 2026. For each program, it covers what is on offer, who is eligible, when to apply, and what funders are looking for in proposals. It also addresses the strategic questions that determine whether an organization is ready to apply and how to position AI investment as a genuine mission accelerator rather than a technology upgrade.
The programs described here change over time. Application windows open and close, new programs are announced, and existing programs evolve their focus areas. The information in this article reflects the state of each program as of early 2026. For the most current information on any specific program, check the official program pages directly before investing time in an application.
Understanding the 2026 AI Funding Landscape
The AI funding landscape for nonprofits in 2026 spans two distinct types of programs that require different application strategies. The first type, technology company programs, offer a mix of unrestricted cash grants, cloud service credits, pro bono consulting, and structured accelerator programs. These funders are primarily motivated by expanding the adoption of their platforms, demonstrating social impact, and building reputational value in the nonprofit sector. Applications that succeed in these programs typically emphasize specific, measurable use cases for the funder's own technology or platform.
The second type, foundation programs, tends to offer pure cash grants with fewer restrictions on which technologies are used. Foundation funders are more likely to evaluate proposals on the strength of the community impact model, the responsible AI practices embedded in the work, and the organization's broader mission alignment with the funder's priorities. The $500 million Humanity AI initiative, jointly funded by MacArthur, Ford, Mellon, and seven other foundations, represents the largest foundation commitment in this space and will shape the direction of foundation AI grantmaking for years.
Many organizations will find that the most successful strategy is to pursue both types simultaneously: technology company grants to access platforms and build capacity, and foundation grants to fund the staff, program development, and evaluation work that makes AI adoption sustainable. Understanding which programs to prioritize, and when, is one of the strategic questions this article is designed to help answer.
Summary of Major Programs
| Program | Amount | Type |
|---|---|---|
| Humanity AI (10 foundations) | $500M over 5 years | Grants via member foundations |
| Google.org AI Opportunity Fund | $75M | Workforce training (via intermediaries) |
| Google.org GenAI Accelerator | $30M (cohort of 20) | Cash + pro bono support |
| IBM Impact Accelerator | $45M global | Pro bono tech + consulting |
| OpenAI People-First AI Fund | $50M (largely distributed) | Unrestricted cash |
| AWS Imagine Grant | Up to $150K per org | Cash + AWS credits |
| KPMG AI Impact Initiative | $6M | Cash + pro bono services |
| LinkedIn Future of Work Fund | $3M (2026) | Cash + strategic support |
| Mozilla Democracy x AI Cohort | Up to $300K per org | Cash |
OpenAI: People-First AI Fund
OpenAI's $50 million People-First AI Fund represented one of the most significant technology company commitments to nonprofit AI adoption and remains one of the highest-profile programs in this space. As of December 2025, OpenAI had distributed $40.5 million in unrestricted grants to 208 U.S.-based nonprofits through the fund's initial open application cycle. The remaining $9.5 million is being distributed through board-directed grants targeting organizations already advancing scalable AI work in health, education, and community resilience.
The program's distinctive feature is unrestricted funding. Unlike technology grants that require spending on specific platforms or services, People-First AI Fund grants are cash that organizations can use however best supports their mission. The initial application window closed in October 2025, and the board-directed phase is ongoing in early 2026. Organizations should monitor OpenAI's website for announcements of any new application cycles, as the program's success makes a continuation or expansion plausible.
OpenAI People-First AI Fund: Key Details
- U.S.-based 501(c)(3) public charity with annual operating budget between $500,000 and $10 million
- Work must be primarily within the 50 U.S. states or D.C.
- Organizations do NOT need to currently use AI tools to be eligible
- No fiscally sponsored projects; no regranting purposes
- Unrestricted cash grants with no platform requirements
Google.org: AI Opportunity Fund and GenAI Accelerator
Google.org has committed to two distinct AI funding programs with very different structures. Understanding which program is relevant to your organization, and how to access it, requires understanding how each is administered.
AI Opportunity Fund ($75 Million)
Workforce development and AI skills training
Google.org's $75 million AI Opportunity Fund focuses on workforce development and AI skills training. Most importantly for nonprofits: this funding does not flow directly to individual organizations. Instead, Google.org distributes grants through intermediary community foundations, which then provide free AI training, technical assistance, and peer learning opportunities to local nonprofits in their regions. San Francisco, Atlanta, South Carolina, and several other regions have already received grants of $1-2 million each through this model.
To access this funding, nonprofits should identify whether their local community foundation has received an AI Opportunity Fund grant and how to access the resulting technical assistance. This is not a competitive application process for individual organizations; it is a free training and support program that becomes available in communities where Google.org has placed intermediary grants.
Google.org Accelerator: Generative AI
$30 million for 20 selected organizations
The Google.org Accelerator: Generative AI is a six-month structured program for 20 selected nonprofit organizations. Each participant receives cash grants averaging approximately $1.5 million in equivalent value, combined with pro bono assistance from Google employees, technical training, and Google Cloud credits. The 2025 cohort has been selected; watch for the 2026 open call announcement if your organization is working on AI applications in Google's priority areas.
This is a highly competitive program suited to organizations with existing AI initiatives that are ready to scale, not to organizations exploring AI for the first time. Applications should demonstrate clear alignment with Google's focus areas and a credible plan for using the accelerator's resources to scale impact.
AWS Imagine Grant: A Path for Organizations at All Stages
The AWS Imagine Grant Program is one of the most accessible technology grants for nonprofits because it offers multiple award tiers with varying funding levels and serves organizations across a wide range of sizes and technical maturity. Unlike some programs that require existing AI initiatives, AWS Imagine is designed to bring organizations along a technology adoption journey from wherever they currently are.
Momentum to Modernize
Entry tier
Up to $50,000 in unrestricted cash
Plus up to $20,000 in AWS Promotional Credits
Go Further, Faster
Higher tier
Up to $150,000 in unrestricted cash
Plus up to $100,000 in AWS credits
Pathfinder: Generative AI
AI-focused tier
Higher funding levels for organizations specifically deploying generative AI
Amounts vary by application strength
AWS Imagine Eligibility and Timing
- Open to all 501(c) nonprofit types, not limited to 501(c)(3)
- Also open to nonprofits in the U.S., UK, Ireland, Canada, and Australia
- No minimum budget size requirement
- Two-round process: Round One open application, Round Two by invitation only
- 2026 cycle expected to open approximately March/April 2026 based on prior year pattern
AWS Imagine is particularly well-suited to organizations that want to migrate data infrastructure, build cloud-based services for clients, or deploy AI tools that require significant cloud computing resources. The combination of cash grant and AWS credits allows organizations to invest in both the human capacity and the technical infrastructure that AI adoption requires. The Generative AI tier is worth prioritizing for organizations with specific generative AI projects in development.
IBM Impact Accelerator: Education and Workforce Development
IBM's Impact Accelerator represents a $45 million global commitment focused on AI-driven solutions for education and workforce development. Unlike programs that offer unrestricted cash, IBM provides substantial pro bono technology and implementation support, including access to IBM watsonx, Granite AI models, IBM Cloud, IBM Quantum, and Red Hat, along with IBM consulting staff and EY as a strategic partner. For organizations working in education or workforce development, this is one of the most comprehensive packages of AI infrastructure support available anywhere.
The 2026 application deadline is March 25, 2026, making this one of the most immediately actionable programs for organizations reading this in early 2026. Applications are submitted through the IBM Proposal Submission Portal, and the program is genuinely global, not limited to U.S. organizations.
IBM Impact Accelerator: Key Details
- Application deadline: March 25, 2026 (submit through IBM Proposal Submission Portal)
- Two-year engagement with IBM technology and consulting support
- Open to nonprofits, government organizations, and nonprofit colleges/universities globally
- Focus: AI-driven solutions for education and workforce development
- Project work must be conducted in English; must commit to a two-year engagement
- Questions: [email protected]
KPMG AI Impact Initiative and LinkedIn Future of Work Fund
KPMG AI Impact Initiative ($6 Million)
Professional services support for nonprofit AI integration
The KPMG U.S. Foundation's $6 million AI Impact Initiative combines cash grants with skills-based volunteering and pro bono consulting services to help nonprofits integrate AI into their operations. KPMG has since expanded the initiative with Salesforce and Braven as collaboration partners, and has provided free AI learning sessions to hundreds of nonprofit participants. Notable grants have included $500,000 awards to organizations like First Book and Big Brothers Big Sisters, and a $1.1 million grant to Women's Health Access Matters for AI-powered health research.
The selection process for KPMG grants is more selective than open application programs. Organizations are typically identified through nominations, professional networks, or existing relationships with KPMG. Building visibility in your mission area and connecting with KPMG's nonprofit sector team is often the most effective path to consideration.
Even organizations not pursuing KPMG grants can access value from this initiative through the free AI learning sessions, which have served participants from more than 80 organizations. Check the KPMG AI Impact Initiative website for information on upcoming educational opportunities.
LinkedIn Future of Work Fund 2026 ($3 Million)
AI workforce preparation for young adults
LinkedIn doubled its commitment for the 2026 Future of Work Fund to $3 million, with awards anticipated in the $200,000-$300,000 range per organization. The fund supports nonprofits helping young adults, particularly those overcoming employment barriers, to prepare for and succeed in an AI-powered workforce. The application deadline was March 15, 2026, meaning this cycle may have just closed. However, organizations doing workforce development work should position themselves for the 2027 cycle by documenting AI workforce outcomes now.
Eligibility requires a demonstrable workforce development focus and programs that help people access, prepare for, or succeed in an AI-powered workforce. The program serves nonprofits globally, with U.S.-based organizations requiring 501(c)(3) status.
Mozilla Democracy x AI Cohort and Foundation Funding
Mozilla Foundation: Democracy x AI Cohort 2026
Up to $300,000 per organization for AI democracy tools
Mozilla's Democracy x AI Cohort 2026 selects 10 projects working on AI tools that strengthen democratic institutions, combat misinformation, or protect civic space. Each selected project receives a base grant of $50,000, with two finalists eligible for an additional $250,000 Sustain Track award, for a potential total of $300,000 per organization. The cohort also provides monthly calls, mentorship, workshops, and access to Mozilla's global network.
The initial application deadline was March 16, 2026, with shortlisted organizations invited to submit full proposals by April 15, 2026, and final selections announced June 1, 2026. Organizations that missed the initial deadline can prepare for 2027.
This program requires applicants to have a working AI-driven tool already in use and a committed team. It also requires commitment to open-source practices, which may not be appropriate for all organizations. Focus areas include information ecosystem resilience, institutional transparency, and civic space protection.
Humanity AI: The $500 Million Foundation Coalition
The largest foundation commitment to AI for the public interest
The Humanity AI initiative, led by MacArthur and Omidyar Network with nine other major foundations including Ford, Mellon, Packard, and Mozilla, represents a $500 million five-year commitment to building a people-centered future for AI. This is the most significant foundation investment in this space and will define the direction of foundation AI grantmaking for the next decade.
Humanity AI does not have a single public application portal. Instead, access to this funding comes through individual member foundation grantmaking processes. MacArthur's initial aligned grants went to organizations like AI Now Institute ($2 million) and Brookings Institution ($2 million). Organizations seeking Humanity AI funding should apply through the individual foundations whose focus areas most closely match their work, using those foundations' standard application processes.
Focus areas include democracy, education, protecting creators' work, enhancing how people work, and AI security. Organizations working in these areas should review the current grantmaking priorities of MacArthur, Ford, Mellon, Packard, and the other member foundations to identify the best fit.
Patrick J. McGovern Foundation
$500,000-$750,000 per grant, invitation-based
The Patrick J. McGovern Foundation distributed $75.8 million across 149 grants in 2025, with individual awards typically ranging from $500,000 to $750,000. The foundation focuses on AI applications in climate resilience, human rights, health equity, and crisis response across 13 countries. The selection process is invitation-based; the foundation identifies organizations proactively rather than responding to open applications.
The most effective path to consideration is building visibility in your issue area through published research, speaking, and partnerships with organizations already in the foundation's network. Organizations in McGovern's focus areas should prioritize becoming known in those communities rather than cold outreach to the foundation directly.
Microsoft, Salesforce, and Other Technology Company Programs
Microsoft: AI for Good and Microsoft for Nonprofits
Microsoft's AI for Good Open Call program offers $5 million in Azure service credits, but is currently restricted to organizations based in or benefiting Washington State. The 2025 cycle closed in February 2025; watch for 2026 cycle announcements. For organizations outside Washington State, Microsoft for Nonprofits provides annual Azure grants of up to $2,000 in service credits and free or deeply discounted Microsoft 365 nonprofit licenses. These are technology access programs, not cash grants, but they represent meaningful infrastructure value for organizations adopting Microsoft's AI tools including Copilot.
Organizations already using Microsoft's nonprofit technology stack and considering AI integration should explore what AI capabilities are available through their existing licenses before applying for additional grants. Many nonprofits are not yet fully using the AI features they already have access to through Microsoft 365 Nonprofit.
Salesforce: AI for Impact Accelerator
Salesforce's AI for Impact Accelerator selects purpose-driven organizations for a cohort-based program that provides flexible funding, pro bono Salesforce expertise, donated technology licenses (including Agentforce), and structured support. The 2025 cohort included six nonprofits. The program is suited to organizations that use or plan to use Salesforce for constituent management and are ready to implement AI-powered agentic workflows on that platform.
Organizations not already using Salesforce should be cautious about applying primarily to access this grant. The long-term commitment to a specific platform is a significant consideration alongside the immediate funding opportunity.
GitLab Foundation and OpenAI Partnership
The GitLab Foundation and OpenAI partnership has distributed at least $4 million in demonstration grants to 16 U.S.-based nonprofits using AI to measurably improve economic mobility for low-income populations. This focused partnership may announce future funding rounds. Organizations working at the intersection of AI and economic mobility should monitor GitLab Foundation announcements.
Cisco Foundation: Global Impact Cash Grants
The Cisco Foundation accepts year-round Letters of Inquiry for global impact cash grants focused on climate resilience, crisis response, economic empowerment, and education. Projects that leverage technology to be replicable and scalable are particularly competitive. AI-powered projects in these focus areas are fundable through this program. The LOI process is lighter-weight than a full proposal, making it worth pursuing for organizations whose work aligns with Cisco's focus areas.
What Funders Are Looking For in AI Grant Applications
Across all of these programs, certain patterns emerge in what distinguishes funded proposals from those that are rejected. Understanding these patterns helps organizations prioritize the most critical elements of their applications.
Specific, Bounded Problem Statements
Funders consistently reject vague "we want to use AI" proposals in favor of those defining a specific problem with measurable parameters. A proposal to "reduce client intake processing time by 40% using document classification AI" is far more compelling than "we want to explore AI integration."
- Define the problem in quantitative terms where possible
- Name the specific AI approach you will use
- Specify what success looks like in measurable terms
Responsible AI Practices
Responsible AI practices have become a near-universal requirement in 2025-2026 grant applications. Funders expect proposals to address bias mitigation, privacy and data governance, transparency with affected communities, and human oversight of AI outputs.
- Address where training data comes from and how bias is mitigated
- Describe how affected communities were involved in design
- Explain how human oversight is built into AI workflows
Data Infrastructure Readiness
Funders want evidence that your organization has basic data infrastructure to support the proposed work. Address honestly what data you hold, how it is managed, and your current technical capacity.
- Describe your existing data systems and quality
- Identify current technical staff capacity
- Address how the grant will build on existing infrastructure
Sustainability Beyond the Grant
Funders invest in projects with a plausible path to sustainability after the grant ends. What happens when the funding runs out? How does the organization sustain the AI capability it develops?
- Describe the ongoing cost structure after grant period
- Identify how staff capacity built by the grant persists
- Note plans for subsequent funding from other sources
Two additional factors consistently differentiate competitive applications. First, community-centered design: demonstrating that real end users or community members shaped your AI project design is a significant differentiator in 2026. This connects directly to the community needs assessment work that should underpin any credible AI program design. Second, organizational readiness signals: staff who have received AI training, documented leadership buy-in, data privacy policies in place, and a named AI project lead all signal to funders that the organization is positioned to succeed with the proposed work.
Organizations that have already documented their AI strategy are better positioned for grant applications because they can frame AI grant requests as components of a coherent organizational direction rather than standalone experiments. Funders who see a thoughtful strategy behind a specific grant request have more confidence that the investment will be well-deployed. Similarly, organizations that have built internal AI champions and a culture of thoughtful adoption, as described in the article on building AI champions, can demonstrate the organizational foundation that makes grant-funded initiatives more likely to succeed.
Building a Grant Application Strategy
With multiple programs available and limited staff time, nonprofits need a focused approach to identifying and pursuing the most promising funding opportunities.
Prioritization Framework
Start with what you already use
If your organization already uses Microsoft 365, AWS, Salesforce, or Google Workspace, explore grants tied to those platforms first. Existing platform familiarity reduces implementation risk and strengthens the credibility of your application.
Match program focus to mission
Prioritize programs whose stated focus areas align closely with your mission. An education-focused organization is better positioned for IBM's accelerator than for AWS Imagine. A democracy-focused organization should prioritize Mozilla over KPMG. Misaligned applications rarely succeed regardless of application quality.
Pursue technology and foundation grants in parallel
Technology company grants often cover infrastructure and tools; foundation grants can cover staff time, program development, and evaluation. The most sustainable AI investments combine both. Develop a technology infrastructure request and a program/capacity building request separately and pursue appropriate funders for each.
Start early and refine over multiple cycles
Successful applicants to competitive programs like Google.org's Accelerator often apply multiple times before being selected. An unsuccessful first application generates feedback that strengthens the next one. Treating the first application as a learning investment rather than a definitive test produces better long-term outcomes.
Common Application Mistakes to Avoid
- Applying for technology grants without a clear plan for how the technology will be used, maintained, and sustained
- Framing AI as a guaranteed solution rather than acknowledging risks and mitigation strategies
- Submitting the same generic proposal to multiple programs without tailoring to each funder's priorities and language
- Omitting responsible AI practices, which funders now treat as a baseline requirement rather than a differentiator
- Applying for platform-specific grants without ensuring your team is prepared to work with that specific platform
- Underestimating the staff time and organizational change required to implement AI successfully, leading to unsustainable commitments in grant proposals
Conclusion
The availability of AI funding for nonprofits in 2026 represents a genuine and time-sensitive opportunity. The programs described in this article collectively represent hundreds of millions of dollars committed to helping nonprofits access and benefit from AI, and the organizations that are positioned to access this funding will have resources to invest in AI adoption that would otherwise be out of reach.
Positioning for this funding requires more than strong grant writing. It requires having a clear organizational AI strategy, demonstrating responsible AI practices, and connecting AI investment to genuine community needs. The organizations that will be most successful in this funding environment are those that have done the foundational work: understanding what their communities need, articulating how AI can address those needs more effectively, and building the internal capacity to implement AI responsibly and sustainably.
These are not just grant strategy considerations. They are the same foundations that make AI investment valuable regardless of whether it is grant-funded or self-funded. Organizations that approach AI grants as an opportunity to accelerate genuine mission impact, rather than as an end in themselves, are both better grant applicants and better positioned to produce the outcomes that funders are investing in. The current funding environment rewards exactly the kind of thoughtful, community-centered, responsible AI adoption that is also most likely to produce durable results for the people nonprofits serve.
Ready to Pursue AI Funding for Your Nonprofit?
One Hundred Nights helps nonprofits identify the right funding programs, develop compelling AI grant proposals, and build the organizational foundations that make grant applications competitive.