The a16z AI Apps team outlines their investment framework for the current AI application cycle, which they see as the fastest product shift in software history. They detail three core themes for building defensible businesses: AI-native software for greenfield markets, applications that replace labor by owning entire workflows, and "walled garden" businesses built on proprietary data moats.
Experts from a16z outline three transformative ideas for 2026. Ryan McEntush discusses the rise of the 'electro-industrial stack' and the critical need for the U.S. to build a supportive industrial ecosystem. Angela Strange explains why financial services are at a tipping point, with AI-native platforms set to replace legacy systems, unify data, and create 10x winners. Sarah Wang predicts the emergence of a 'dynamic agent layer' that will overtake traditional systems of record by collapsing the gap between user intent and execution.
Experts from a16z forecast three major AI-driven shifts for 2026. Ryan McEntush discusses the rise of the 'electro-industrial stack' and the need for a U.S. ecosystem to power modern industry. Angela Strange explains how financial services are at a tipping point, with AI-native platforms unifying data to unlock massive efficiency gains. Sarah Wang predicts that a 'dynamic agent layer' will overtake traditional systems of record, fundamentally changing enterprise software by directly translating user intent into action.