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International AI Development Foundation IAIDF
Our Model

Our Model

IAIDF is funding-led by design. We focus on opportunities where philanthropic capital can help public-interest AI mature in ways that are responsible, institutionally credible, and useful across societies.

Our model combines strategic grantmaking, ecosystem partnerships, and support for institutional readiness. We look for initiatives that can translate AI potential into durable public benefit through education, research, governance, capacity building, and international cooperation.

We prioritize practical outcomes, credible operators, and long-term public value. That means supporting both near-term initiatives and selective higher-risk work when the expected institutional and social payoff is strong enough.

Our approach will continue to evolve as we learn from grantees, researchers, public institutions, and field partners across regions.

Key principles that guide our funding model:

  • We start by asking where funding can create the clearest public benefit in AI.

    IAIDF prioritizes areas where additional philanthropic capital can strengthen institutions, improve access, and help AI development produce durable social value. We look for fields where timing matters, capacity is still underbuilt, and support can unlock meaningful progress.

    Our assessment focuses on public value, implementation credibility, and the likelihood that funding can help move a field, institution, or initiative forward in a measurable way.
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  • We build a balanced portfolio rather than relying on one narrow theory of change.

    Some opportunities require direct grantmaking, others need ecosystem coordination, institutional strengthening, or support for education and talent. IAIDF balances near-term opportunities with longer-horizon investments that can improve the overall quality of AI development.

    This portfolio approach helps us remain adaptive while supporting multiple layers of progress across research, governance, implementation, and international cooperation.
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  • We can support ambitious work, but only when risk is matched by governance and execution discipline.

    IAIDF is open to funding projects that are early, innovative, or difficult, especially when they address neglected public-interest needs. But we do not treat novelty alone as value. We look for capable teams, sound judgment, and a credible path from funding to real-world progress.

    Our goal is not reckless experimentation. It is responsible risk-taking in service of meaningful public outcomes.
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  • We judge opportunities by the institutional and social impact they can unlock.

    Expected impact at IAIDF is not only about scale. It is also about whether a grant can strengthen a field, improve implementation quality, expand access, or help institutions use AI in more responsible and durable ways.

    We combine qualitative judgment, strategic fit, and practical evidence when deciding where support is most justified.
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