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The Atlassian Foundation's Collective Action open call commits 8,000,000 US dollars to fund partnerships of up to 1,000,000 dollars each over two years, and the 2026 round is framed explicitly around how the education sector should respond to AI.
The Foundation is seeking initiatives that help education systems respond to AI so that the technology closes gaps for disadvantaged learners rather than widening them, and it states that a deliberate decision not to use AI can itself be a fundable response.
That framing is unusual and worth taking at face value: the call is not an AI-adoption fund, and a proposal whose theory of change is that more AI in classrooms will help disadvantaged learners is not what is being asked for.
What is being asked for is collective action, meaning multiple players sharing goals and a learning agenda, directed at direct relief of disadvantage for an identified beneficiary group, in the context of an education and workforce-development sector being reshaped by AI.
The lead applicant must be a registered nonprofit and may be based anywhere in the world, while other collective partners may come from any sector including government and industry, which makes this one of the few genuinely global pooled funds in the AI-and-education space.
Applications close 30 October 2026 at 11:59 pm AEDT and are submitted through the Foundation's Goodstack nomination portal; applicants must pass an eligibility checklist on which any single negative answer is disqualifying.
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Or search similar grants →According to the current listing, eligibility includes: The lead applicant must be a registered nonprofit, and registration may be in any country, with other collective partners permitted from any sector. Applicants from countries subject to international sanctions are ineligible. Every applicant must pass the Foundation's eligibility checklist, and the checklist is pass-or-fail: a single no answer disqualifies the application, so it should be worked through before any narrative is drafted. Four substantive requirements shape what counts as fundable. First, the work must deliver direct relief of disadvantage for an identified beneficiary group, which rules out general-purpose capacity building and sector research with no named beneficiaries. Second, it must be genuine collective action, with multiple players sharing goals and a learning agenda rather than a lead organisation subcontracting partners. Third, it must address education adaptation in the AI era, with the Foundation explicitly open to proposals that choose not to deploy AI. Fourth, the grant cannot exceed 25 percent of the lead organisation's operating budget, which caps the award independently of the 1,000,000 dollar ceiling and should drive the choice of which partner leads. The budget must include travel for at least one representative to the United States or Australia in 2027 or 2028. Applications are due 30 October 2026 at 11:59 pm AEDT through the Goodstack portal at nomination.goodstack.org; applicants in other time zones should note that AEDT is the controlling time zone and allow for the date difference. Confirm the full requirements in the official notice before applying.
The current listing shows the Collective Action open call makes available a total pool of 8,000,000 US dollars, with each funded partnership receiving up to 1,000,000 US dollars over two years; since the only published per-award figure is that ceiling, amount_min and amount_max are both recorded as 1,000,000. A second cap binds independently and is the one most applicants overlook: a grant cannot exceed 25 percent of the lead organisation's operating budget. That means the effective ceiling for a lead nonprofit with a 2,000,000 dollar annual budget is 500,000 dollars, not 1,000,000, and an organisation would need roughly a 4,000,000 dollar operating budget to access the full award. Small, highly effective organisations therefore need to think carefully about which partner takes the lead role, because the choice of lead directly determines the size of the award the collective can receive. The budget must also cover travel for at least one representative to the United States or Australia in 2027 or 2028, which is a mandatory line item rather than an optional one and should be costed in from the outset. Funding is for a two-year partnership rather than a single project year, so applicants should present a two-year plan with the collective's shared goals and learning agenda rather than a one-year workplan with an extension. Verify award ceilings, matching requirements, and allowable costs in the official notice.
Applications for Atlassian Foundation Collective Action Open Call for Education Systems Responding to AI are due October 30, 2026. Build your timeline backwards from this date to cover registrations, approvals, and final submission checks.
Atlassian Foundation Collective Action Open Call for Education Systems Responding to AI is funded by Atlassian Foundation. Verify program details on the funder's official page before applying.
Start from the official opportunity page linked in this listing — it carries the sponsor's submission instructions.
OpenAI's AI and Teen Development Research Grant Program makes up to 5,000,000 US dollars available in grants of up to 1,000,000 dollars for independent research on how AI affects adolescent development and wellbeing. Applications opened 8 September 2026 at 8:00 AM PDT and close 6 October 2026 at 11:59 PM PST, with notifications by 13 November 2026, and submission is through the SurveyMonkey Apply platform. The published scope has four strands: teen usage patterns and developmental outcomes; AI's potential effects on young people's lives; the factors that cause those effects to differ across populations and contexts; and design interventions and safety mechanisms. The inclusion of the fourth strand is what separates this from a pure effects-measurement programme, since it invites work that proposes and tests product-level safeguards rather than only documenting harm or benefit. The third strand is equally notable: OpenAI is asking specifically about heterogeneity of effect, which is an implicit acknowledgement that aggregate findings about teen AI use have limited policy value. Review is rolling and conducted by internal researchers and outside experts. Non-profit applicants are preferred and for-profit organisations are explicitly not prioritised, and indirect costs are capped at 10 percent of the grant, both of which shape who can realistically compete.
The Citi Foundation's 2026 Global Innovation Challenge commits 25,000,000 US dollars in grants of 500,000 dollars each to up to 50 nonprofit organisations, and AI is core to the challenge rather than one theme among many: the call is framed around economic opportunity in an economy increasingly shaped by AI. Three focus areas are published. The first is cultivating AI skills alongside human-centric competencies, a pairing that signals the Foundation is not funding tool training in isolation. The second is expanding digital access through community hubs offering shared devices and open-source AI tools, which is a deliberate bet on shared rather than individual access infrastructure. The third is building NGO capacity by integrating AI into youth employability programmes, meaning the grantee's own operating model is in scope, not only its services. Geographic reach is approximately 70 countries where Citi operates across Africa, Asia Pacific, Europe, the Middle East, Latin America, the Caribbean and North America, but US applicants are restricted to 12 states plus the District of Columbia and Puerto Rico, which makes this substantially more open to international applicants than to most US ones. The process begins with a letter of inquiry due 6 October 2026 at 12:00 pm ET, one per organisation and in English only; organisations advancing to Round 2 must supply externally audited financials from 2024 or later.
The 2026 Physical AI Awards, launched by Nebius with NVIDIA in late September 2026, recognise startups building physical AI and award each of five category winners 150,000 US dollars in Nebius compute credits. The five categories are Physical AI Models, Perception and Spatial Intelligence, Simulation and Synthetic Data, Systems and Deployment, and Software, Tooling and Orchestration, which together map the physical AI stack from foundation models through to the orchestration layer and make clear that the programme is not limited to robot manufacturers. A simulation or synthetic data company with no hardware of its own competes in its own category rather than against humanoid robotics teams, which materially changes the odds for infrastructure and tooling startups that would be overshadowed in an undifferentiated competition. Eligibility is framed around commercial traction rather than research novelty: applicants need a clear physical AI use case, a minimum viable product in active use or testing, a registered legal entity and a live public website. There is no stated geographic restriction, making this one of the few genuinely global compute awards in the robotics and embodied AI space. Applications close 25 October 2026, with finalists and winners announced in mid-November 2026, a fast cycle by the standards of grant funding. Each application covers one product, and companies with several products may apply to multiple categories, though the organisers advise concentrating on the strongest product in the most relevant category.