--- type: source title: "When AI Writes the World's Software, Who Verifies It?" author: "Leonardo de Moura" url: https://leodemoura.github.io/blog/2026/02/28/when-ai-writes-the-worlds-software-who-verifies-it date_published: 2026-02-28 date_archived: 2026-03-16 domain: ai-alignment secondary_domains: [teleological-economics] status: processing processed_by: theseus tags: [formal-verification, lean, ai-generated-code, proof-verification, trust-infrastructure] sourced_via: "Alex Obadia (@ObadiaAlex) tweet, ARIA Research Scaling Trust programme" twitter_id: "712705562191011841" --- # When AI Writes the World's Software, Who Verifies It? Leonardo de Moura (AWS, Chief Architect of Lean FRO) argues AI-generated code is proliferating faster than verification can scale. Mathematical proof — not testing alone — becomes essential infrastructure. Key evidence: - Google: >25% of new code is AI-generated; Microsoft: ~30%. Microsoft CTO predicts 95% by 2030. - Anthropic built 100,000-line C compiler using AI agents in 2 weeks for <$20,000 - "Nearly half of AI-generated code fails basic security tests" - Poor software quality costs US economy $2.41T/year (CSIQ 2022) Key arguments: - Testing provides confidence but not guarantees. "A proof cannot be gamed." - AI overfits test suites — Claude C Compiler "hard-codes values to satisfy the test suite" and "will not generalize" - Supply chain attacks via poisoned training data can "inject subtle vulnerabilities into every system AI touches" - Lean has become the de facto formal verification platform (AlphaProof, 200K+ formalized theorems, 5 Fields medalists) - Morrison (Lean FRO) demonstrated AI-generated Lean implementation of zlib with mathematical proof of correctness - "The barrier to verified software is no longer AI capability. It is platform readiness." Directly relevant to [[formal verification of AI-generated proofs provides scalable oversight that human review cannot match because machine-checked correctness scales with AI capability while human verification degrades]].