Solve Everything is a 2026 manifesto by Dr. Alexander D. Wissner‑Gross and Dr. Peter H. Diamandis that maps a systematic, industrial‑scale pathway to global abundance by 2035. The authors argue that accelerating AI (from AGI to ASI) combined with an "Industrial Intelligence Stack" can turn every major societal domain—food, education, health, brain‑computer interfaces, consciousness, planetary safety, energy, quantum computing, nanotechnology, and space colonization—into solved, utility‑like services. The document defines a set of "Moonshots" (15 grand challenges) each with concrete AI‑driven solutions, benchmark metrics, milestones (2026‑2035), and guardrails (e.g., neurorights, data trusts, two‑source rule). Central to the vision are new institutional primitives: Targeting Systems that set auditable, Goodhart‑resistant benchmarks; Outcome Procurement that pays only for verified results; Compute Escrow that pre‑commits compute resources; Action Networks that provide robotic execution; and Data Trusts that pool safe data. The authors also propose a new macro‑economic metric, the Abundance Capability Index (ACI), to replace GDP, and a societal re‑structuring where status is measured by "compute‑count" rather than headcount. The manifesto culminates in a call to build the "rails"—the interoperable infrastructure that will enable AI to solve humanity’s hardest problems safely, fairly, and at scale.
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Industrial Intelligence Stack & Institutional Primitives
A layered, end‑to‑end infrastructure that turns AI‑enabled craft into industrial processes. It includes purpose definition, auditable Targeting Systems, model deployment, robotic Action Networks, verification, and governance. Institutional primitives—Outcome Procurement (pay‑for‑verified‑results contracts), Compute Escrow (pre‑committed compute resources), Data Trusts (secure data pooling), and the “rails” of interoperable APIs—ensure goal‑directed, Goodhart‑resistant execution at scale.