Latest Interviews
Showing 1–3 of 3 transcripts.
Clear all filters- a16z12 min
AI Is Coming For These 3 Industries In 2026 (a16z Big Ideas)
Ryan McEntush, Angela Strange, Sarah Wang
Ryan McIntosh, Angela Strange, and Sarah Wang identify three pivotal 2026 inflection points defining the future of American industry, finance, and software architecture. These experts forecast a transition where the U.S. must vertically integrate its electro-industrial ecosystem to match China, financial institutions must abandon legacy mainframes for AI-native data systems to unlock tenfold operational scaling, and dynamic AI agent layers must displace traditional systems of record to enable autonomous execution. Collectively, these shifts emphasize that future economic and military power depends on controlling embodied electrified components, unifying data across unstructured sources, and achieving product velocity through continuous AI-driven iteration.
- a16z11 min
When Regulation Becomes Code
Driven by a regulatory explosion that now consumes up to 15% of bank staff and fuels systemic risks like TD Bank's $3 billion penalty, the financial sector is adopting Generative AI to transform manual compliance into executable "code." Early adopters are rapidly replacing brittle legacy systems with AI-first co-pilots that reduce research time from hours to minutes while maintaining rigorous audit trails to prevent hallucinations. This shift toward "Regulation as Code" promises to slash operational bottlenecks in areas like small business lending, thereby lowering consumer costs through increased market competition and faster loan approvals.
- a16z16 min
Big Ideas 2024: The Rise of the Developer as a Buyer in Financial Services with Angela Strange
The financial services sector is undergoing a fundamental transformation where developers have emerged as influential buyers, driving a shift from legacy "marble" infrastructure to composable, code-based "as-a-service" architectures. This transition is accelerating the adoption of open-source libraries and generative AI tools to modernize the estimated 40% of banking code still running on COBOL, while open banking mandates in regions like the UK and Brazil are replacing fragmented systems with standardized APIs. Ultimately, these technological advancements aim to reduce infrastructure costs and improve product quality, creating new opportunities to serve the two billion people currently underserved by traditional banking models.