Latest Interviews
Showing 1–8 of 8 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.
- a16z45 min
How AI is Reshaping Labor Markets: A $Trillion-Dollar Opportunity Explained
Alex Rampell, David Haber, Angela Strange
The presentation traces the evolution of software from the 1960s digitization of physical records to the current 2024 era where AI agents substitute human labor rather than merely storing data. This shift fundamentally alters revenue models by threatening traditional seat-based licensing with "autopilot" pricing structures that charge for work output or cost savings, potentially expanding total addressable markets into labor-intensive verticals like healthcare and legal services. Success in this new landscape depends on startups leveraging messy unstructured data as an entry wedge while incumbents like Salesforce face existential risk if they fail to pivot from productizing software to pricing based on labor displacement.
- 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.
- a16z32 min
Jeff Sloan (Global Payments): Placing Multiple Bets on ‘Mosaic of Solutions’
Between 2013 and 2023, CEO Jeff Sloan transformed Global Payments from a legacy infrastructure firm into a $32 billion market capitalization cloud SaaS leader by executing a $21 billion merger with T-Systems and pivoting toward a software-first distribution model. This strategic evolution involved expanding technology spending from $300 million to over $2 billion annually to integrate payments with mission-critical verticals while correcting the post-Brexit investment misstep through a disciplined long-term governance framework. Looking forward, the organization leverages this scaled infrastructure to target the $125 trillion B2B sector and deploy generative AI for fraud prevention, aiming to replicate its consumer success in the undigitized half of the global market.
- 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.
- a16z1h 12m
2023 Big Ideas in Technology (Part 2)
Anish Acharya, Angela Strange, Michelle Volz, Ryan McEntush, Vijay Pande, Julie Yoo
Anish Charya and Angela Strange outline transformative fintech strategies where GPT-driven credit counseling scales labor efficiency while software-enabled compliance converts regulatory burdens into strategic competitive moats. Parallel discussions led by Michelle Foles and Ryan McIntosh highlight how Small Modular Reactors and space supply chain overhauls will redefine energy production and industrial supremacy through advanced manufacturing and resource extraction. These innovation themes converge with healthcare predictions from Vijay Pandey and Julie Yu, who forecast the rise of consumer health tech and value-based care stacks to replace legacy fee-for-service models with outcome-focused infrastructure.
- a16z25 min
The Open Source Movement in Fintech
The financial services sector is undergoing a paradigm shift as developers dismantle legacy mainframe systems to replace proprietary "As-a-Service" models with composable, open-source primitives. Leading initiatives like Move and Tsobe are now resolving critical inefficiencies in payments, open banking, and anti-money laundering compliance by leveraging community-driven code to fix thousands of edge cases that traditional institutions cannot address. This transition is transferring purchasing power from C-suite executives to engineering teams, positioning open-source collaboration as the primary engine for the next generation of global financial innovation and inclusion.
- a16z51 min
Founding Stories: Synapse
Sankaet Pathak, Angela Strange
Founded by Sanket Patak after facing banking exclusion as an international student, Synapse operates as a modular infrastructure platform that automates compliance and identity verification for fintechs and traditional institutions. The company resolves complex regulatory barriers by standardizing KYC, AML, and transaction monitoring across multiple partners, effectively replacing labor-intensive manual processes with an AI-driven "autopilot" model. This approach enables non-bank entities to securely launch financial products for underbanked demographics while allowing sponsor banks to mitigate operational risk and scale without linear cost increases.