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The Patrick J. McGovern Foundation AI Fluency and Capacity Building Grants provide $100,000 to $750,000 in financial and technical support to help nonprofits and public institutions build AI literacy and responsibly deploy emerging technology for social good. This is a core pillar of the McGovern Foundation's grantmaking, distinct from its MIT Solve AI for Humanity Prize.
The foundation has $1. 6+ billion in assets and supports 144+ organizations across 11+ countries. Recent funded initiatives include AI literacy curriculum development, capacity building programs for nonprofits and public institutions, responsible AI deployment across sectors, regional AI cohorts and training programs, and AI tools for climate resilience, health equity, journalism, civil rights, and crisis response.
The foundation's FY2025 commitment of $75. 8 million supported work in 13 countries. Note that the McGovern Foundation does not accept unsolicited proposals — organizations must be invited to apply based on alignment with the foundation's strategic focus areas.
The most effective path to consideration is building visibility through published research, speaking engagements, and partnerships with organizations already in the foundation's network.
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Search similar grants →Based on current listing details, eligibility includes: 501(c)(3) nonprofits and global social sector organizations working on AI for social impact. The foundation does not accept unsolicited proposals; organizations are invited to apply based on alignment with strategic priorities. Focus areas include climate action, health equity, economic solidarity, digital work dignity, human rights, media innovation, and AI literacy. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $100,000 to $750,000 per grant award. The foundation invests $35+ million annually in total grantmaking and has committed nearly $500 million since inception. FY2025 total charitable spend was $75.8 million across 149 grants. Always verify allowable costs, matching requirements, and funding caps directly in the sponsor documentation.
The current target date is rolling deadlines or periodic funding windows. Build your timeline backwards from this date to cover registrations, approvals, attachments, and final submission checks.
Federal grant success rates typically range from 10-30%, varying by agency and program. Build a strong proposal with clear objectives, measurable outcomes, and a well-justified budget to improve your chances.
Requirements vary by sponsor, but typically include a project narrative, budget justification, organizational capability statement, and key personnel CVs. Check the official notice for the complete list of required attachments.
Yes — AI tools like Granted can help research funders, draft proposal sections, and check compliance. However, always review and customize AI-generated content to reflect your organization's unique strengths and the specific requirements of the solicitation.
Review timelines vary by funder. Federal agencies typically take 3-6 months from submission to award notification. Foundation grants may be faster, often 1-3 months. Check the program's timeline in the official solicitation for specific dates.
Many federal programs offer multi-year funding or allow competitive renewals. Check the official solicitation for continuation and renewal policies. Non-competing continuation applications are common for multi-year awards.
AI for Humanity Prize is a $200,000 prize competition from the Patrick J. McGovern Foundation, administered through MIT Solve, that recognizes and funds breakthrough AI solutions designed to benefit humanity. The prize is structured within the MIT Solve challenge framework, which sources technology-driven innovations across focus areas including climate, health, learning, and economic opportunity. Innovators and organizations developing AI applications with measurable social impact are eligible to apply. The 2026 prize deadline is May 21, 2026. Winners receive funding alongside access to MIT Solve's global network of partners, mentors, and scale-up resources.
The Patrick J. McGovern Foundation Data Practice Accelerator supports nonprofits working with complex datasets and analytical approaches to drive social impact. Selected cohort members receive up to $125,000 in funding plus intensive technical support including access to advanced data tools, industry-standard guidance from data scientists, engineers, and program managers. The program's goal is to de-risk learning by creating a space for nonprofits to build capacity for advanced data management, analytics, AI tools, and governance approaches. Previous cohorts focused on themes like Data at the Nexus of Climate and Health. The program operates on a cohort-based model with curated peer-to-peer learning.
The Patrick J. McGovern Foundation Data Practice Accelerator provides grants of up to $125,000 to nonprofits with complex datasets that are ready to deepen their data practice and build toward AI readiness. This program is distinct from the foundation's larger AI Fluency and Capacity Building grants ($100K-$750K) and focuses specifically on helping organizations develop the data infrastructure, skills, and practices needed to responsibly adopt AI tools. The accelerator supports organizations across the foundation's priority areas including climate action, health equity, economic solidarity, human rights, and crisis response. Applications are accepted on a rolling basis with a current deadline of July 1, 2026. The McGovern Foundation, with $1.6+ billion in assets and $75.8 million in FY2025 charitable spend, is one of the largest private funders of AI-for-good initiatives globally.
The Pivotal Research Fellowship is a nine-week AI safety research program (June 29 to August 28, 2026) based at the London Initiative for Safe AI (LISA), with optional extensions of up to six months for strong projects. Fellows receive a GBP 6,000-8,000 stipend, GBP 2,000 housing allowance for non-London residents, London travel coverage, compute resources, and weekday meals. The program offers weekly one-on-one mentorship with established AI safety researchers, dedicated in-person workspace at LISA, research management support, workshops, and speaker sessions. The selection process involves a written application, video interview, mentor-specific work task, and personal interview. Pivotal Research reports that 70 to 90 percent of fellows who applied received extensions in recent cohorts, indicating strong support for continued research development. The fellowship accepts researchers from diverse backgrounds including ML, philosophy, policy, physics, and biology.
The North Texas Pioneer Film Grant is a grant from the Austin Film Society that funds emerging filmmakers residing in the Dallas-Fort Worth area and surrounding North Texas region. This grant supports first or second feature film projects, with particular priority given to filmmakers from backgrounds traditionally underrepresented in independent film. Awards range from $5,000 to $15,000. Applicants must be emerging filmmakers with a feature-length project (narrative or documentary) at any stage of production. The grant is part of AFS's broader mission to support Texas filmmakers, having awarded more than $3 million in grants to 570+ filmmakers since 1996.
The Water Research Foundation (WRF) RFP 5394 seeks research proposals evaluating the scalability, reproducibility, and impact of Generative AI (GenAI) and Agentic AI applications in the water and wastewater sector. The initiative aims to overcome barriers to AI adoption in utilities, establish guardrails for secure AI model development and cybersecurity integration, pilot GenAI applications with measurable insights and documented impacts, and catalogue existing Agentic AI uses while reproducing low-effort applications at other utilities to promote wider adoption. The research will establish cybersecurity and risk management frameworks for safe AI adoption in water infrastructure. Proposals are assessed based on innovation, feasibility, reproducibility, and potential sector-wide impact. This represents one of the first major funding calls specifically targeting generative and agentic AI applications in critical water infrastructure.