1,000+ Opportunities
Find the right grant
Search federal, foundation, and corporate grants with AI — or browse by agency, topic, and state.
Current AI is an international initiative launched at the AI Action Summit in Paris with an initial $400 million investment, led by France and a broad array of government, philanthropic, and tech industry partners including Google and Salesforce. MacArthur Foundation is among the philanthropic backers. The initiative aims to raise $2.
5 billion over five years to fund open, accountable, and purpose-driven AI that prioritizes transparency, fairness, and global equity.
Funding focuses on three key pillars: Data (expanding access to high-value, locally relevant datasets in healthcare, media, and education), Openness (promoting open standards and tools ensuring AI technologies remain accessible, adaptable, and inclusive), and Accountability (establishing robust frameworks for transparency, auditing, and public oversight to ensure AI systems serve the public interest).
Current AI seeks to prevent AI harms while harnessing its benefits, with a particular emphasis on ensuring AI development does not concentrate power among a small number of developers. This is distinct from the Humanity AI initiative, which is a separate U.S.-based philanthropic coalition.
Get alerted about grants like this
Save a search for “Current AI (France, Google, Salesforce, MacArthur Foundation, and partners)” or related topics and get emailed when new opportunities appear.
Search similar grants →Based on current listing details, eligibility includes: International nonprofits, academic institutions, civil society organizations, and research institutes working on open AI, data access, AI accountability, and public interest AI. Global scope with emphasis on ensuring equitable access across developing and developed nations. Applicants should confirm final requirements in the official notice before submission.
Current published award information indicates $400,000,000 initial investment with a goal of raising $2,500,000,000 over five years. Individual grant amounts not yet disclosed. Funding covers three pillars: Data, Openness, and Accountability. 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.
The Kavli Foundation sponsors an AI-for-Science Postdoctoral Fellowship through FutureHouse's Independent Postdoctoral Fellowship program, supporting one fellow per cohort to pursue an independent, AI-enabled research project in neuroscience. The fellowship provides a $125,000 annual stipend plus comprehensive benefits, travel allowance for conferences, dedicated software engineering support for building AI research tools, access to advanced computational resources (GPU clusters and cloud computing), and wet lab access for experimental validation. Fellows work in collaboration with an advisor or co-advisor who is a member of a Kavli Institute, pursuing bold, curiosity-driven projects in neuroscience ranging from molecular and cellular mechanisms to systems-level understanding of the brain. The fellowship begins September 2026 and runs for one year with a possible one-year extension. Research areas include AI-driven analysis of brain imaging data, machine learning for neural circuit mapping, computational neuroscience models, AI tools for analyzing large-scale neural recordings, and deep learning applied to connectomics and brain-computer interfaces.
Semi-Annual Competitive Grants is sponsored by Robert G Iii And Maude Morgan Cabell Foundation. The foundation provides grants primarily for permanent capital projects such as building acquisition, construction, renovation, and technology infrastructure. It favors focused, strategic support rather than token grants and typically awards funding on a challenge or match basis to stimulate broad community support. The application is a two-stage process beginning with a mandatory Contact Form followed by an invitation for a full application. Geographic focus: Virginia (preference for Richmond metropolitan region) Focus areas: Cultural Arts, Historic Preservation, Environment and Conservation, Community Development, Higher Education Infrastructure, Social Services, Health