Monday is tech & innovation day on The Grant Brief.

Three open grants this week, three completely different theories of how technology-led work actually scales. One bets that cloud credits unlock infrastructure-bound nonprofits. One bets that design and engineering talent — not just dollars — is what's missing. One bets that evidence is the bottleneck, and once you have it, capital should follow at increasing levels. Pick the one whose theory matches your own.

What we know: Three tracks within a single application — Pathfinder (frontier AI, up to $200K), Go Further Faster (scalable cloud projects, up to $150K), Momentum to Modernize (core infrastructure, up to $50K). Educational institutions excluded. AWS doesn't publish award history, so the program's "open to all budget sizes" claim isn't independently verifiable.

Realistic fit: nonprofits already running on AWS or with a committed migration plan, plus one scoped cloud or AI project that can show milestones inside a year.

What we know: 990 data shows a single $6.43M grant to Impact Assets Inc., a Maryland-based impact investing intermediary — so the foundation's direct grantmaking likely flows through intermediaries rather than as standalone awards. Zero direct foreign grants on file despite a global mandate, which means international work probably also routes through US-domiciled partners. Priority sectors: decarbonization, resilience in low-resource communities, automation-era workforce readiness.

Realistic fit: design- or engineering-driven nonprofits and early-stage startups in climate, energy, or resilience, with work that Autodesk's tools and people can meaningfully accelerate.

What we know: Formerly USAID's Development Innovation Ventures. Stage 1 (Pilot) up to $200K, Stage 2 (Test) up to $500K, Stage 3 (Scale) up to $1.5M. Project periods can extend to five years. No 990 on file, so actual award patterns can't be verified. Proposals need a clear theory of change, a credible path to scale, and either existing or planned rigorous evidence.

Realistic fit: NGOs, social enterprises, or research institutions in LMICs with a working prototype, early impact data, and a cost-effectiveness story strong enough to survive scrutiny.

The shared filter across all three: each one rewards a specific kind of "builder" organization. If your work is well-run service delivery without a product, a data platform, or an engineering core to point to, none of these will pencil. Better candidates exist for that work.

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