Latest Interviews
Showing 16–30 of 649 transcripts.
Clear all filters- a16z39 min
Inside Moderna’s Biggest mRNA Test Since COVID
Moderna and Merck announced that their personalized mRNA cancer vaccine, Intismoran, successfully met primary and secondary endpoints in a Phase 3 melanoma trial, demonstrating superior recurrence-free survival compared to the current standard of care. This breakthrough treatment combines a patient-specific mRNA vaccine with Merck's Keytruda to target unique tumor antigens, offering a synthetic manufacturing solution that can produce individualized doses within approximately 42 days. Building on these results, the companies plan to file for FDA approval with the goal of patient availability by 2027 while expanding clinical trials to lung, kidney, and bladder cancers.
- a16z1h 3m
Can AI Learn Mathematical Intuition?
Recent AI advancements have achieved fully autonomous results like the Erdős Unit Distance Problem, yet the mathematical community warns that over-reliance on these tools risks homogenizing research and stifling the diverse human intuition required for genuine theoretical breakthroughs. While models excel at executing known techniques and verifying logical steps, they currently lack the capacity to build new theories without human-derived "hints," necessitating a collaborative model where mathematicians guide AI to discover deeper conceptual statements. Experts argue that to avoid incentivizing low-insight automation, the field must adapt educational and academic structures to prioritize deep conceptual understanding and the maintenance of cognitive diversity over rapid paper production.
- a16z1h 14m
Why AI Demand Is Outrunning Compute Supply
This analysis forecasts a sustained global AI compute shortage through 2028, driven by massive capital investment and a strategic pivot by leaders like Jensen Huang and Elon Musk to build a vertically integrated infrastructure that includes orbital data centers and asteroid mining. The conversation details how major entities such as Microsoft, Anthropic, and NVIDIA are navigating market dynamics through hybrid model strategies and unique financing structures that treat data centers as lucrative financial assets rather than traditional hardware projects. Ultimately, the discussion posits that this "Age of Elon and Jensen" will trigger a re-industrialization of the United States while creating a new era of computational inequality determined by access to scarce, high-performance chips.
- a16z54 min
Why Top Founders Are Racing Into AI Infrastructure
Ben Horowitz, Martin Casado, Raghu Raghuram, Erik Torenberg
The Machine Age Fund targets the critical infrastructure bottlenecks constraining the "Machine Intelligence" revolution by investing in the physical computing stack, from raw copper mining to power grid upgrades. With hyperscalers projecting $1 trillion in annual capital expenditure and GPU supply booked through 2028, the fund prioritizes founders with hardware and supply chain expertise to solve severe shortages in energy capacity, liquid cooling, and specialized labor. This strategy aims to secure the physical assets required to support exponentially growing compute demand while preventing the United States from losing its infrastructure leadership to global competitors.
- a16z39 min
Inside Cursor: The Anatomy of a Generational Startup
Martin Casado, Sarah Wang, Matt Bornstein, Michael
Cursor revolutionized software development by prioritizing a natural language interface over proprietary model creation, allowing the founders to rapidly iterate from an IDE to a full-scale agent and model platform. The company executed a disciplined "backdoor strategy" that secured massive user adoption and enterprise traction before transitioning to a sales-driven model and integrating acquired talent into leadership roles. This approach enabled Cursor to capture over 50 Fortune 500 customers and establish a dominant position in the coding landscape despite intense competition from incumbents like Microsoft Copilot.
- a16z36 min
The State of AI: Models, Moats, and the Consumer Renaissance
XAI has solidified its position as a third major contender in the AI market through a demonstration of GrokBot autonomously purchasing goods, while Anthropic prepares for an IPO later this year. The industry is simultaneously navigating a structural shift where infinite demand for constrained compute resources drives up prices and forces enterprises to adopt hybrid model architectures balancing frontier agents with cost-efficient open-weight solutions. Concurrently, the application layer is fragmenting into specialized ecosystems of integrated agents that transform intelligence primitives into specific economic outcomes, enabling a new class of digital-native entrepreneurs to build micro-SaaS businesses without traditional coding barriers.
- a16z45 min
How Borderless Founders Build Global Companies
Elena Burger, Angela Strange, Gabriel Vasquez
A16C's global strategy targets "Borderless Founders" from overlooked regions who leverage hybrid profiles and deep local networks to build full-stack solutions with international ambitions. The firm facilitates this growth through "Borderless Dinners" and visa support, helping diaspora members navigate Silicon Valley's infrastructure while maintaining engineering hubs in their home countries. This approach has already positioned international founders as 40% of A16C's portfolio, aiming to diversify venture returns beyond the traditional Silicon Valley dominance.
- a16z42 min
Inside Whatnot's Bet on Live Shopping | The a16z Show
David George, Grant LaFontaine
WhatNot is a live-commerce platform that has rapidly scaled to over $9 billion in annual sales by leveraging authenticated, entertaining video streams to expand beyond collectibles into diverse categories like fashion and fresh food. The company differentiates itself through a heavy emphasis on human connection, allocating 40% of its workforce to trust and safety while empowering small businesses to generate substantial revenue without relying on opaque algorithmic marketplaces. With operations now spanning ten countries, WhatNot aims to replicate the discovery-driven dynamics of physical shopping malls to close the gap between U.S. and Chinese live-commerce adoption.
- a16z54 min
Inside Stripe's AI Strategy with Will Gaybrick
Stripe is reshaping its operational model by flattening hierarchies to empower senior engineers as autonomous creators while deploying internal AI agents like "Stripe Minions" that generated 7,000 pull requests in a single week. The company leverages agentic commerce principles to accelerate product velocity and combat fraud through foundation models, simultaneously expanding global financial infrastructure via Treasury's native stablecoin support in 150 countries. By treating AI as a force multiplier rather than a replacement, Stripe anticipates a shift toward machine-to-machine microtransactions and a 50% year-over-year growth in user acquisition as software creation explodes without proportional headcount increases.
- a16z55 min
Travis Kalanick on Building Atoms After Uber
Travis Kalanick, Ben Horowitz, Erik Torenberg
Travis Kalanick has launched Atoms, a unified industrial entity dedicated to automating food, mining, and transport sectors through a proprietary "Industrial AI" platform that integrates robotics with software. The company operates as a single organization with independent business units led by former Uber executives, aiming to deliver meals at under $6 while boosting mining efficiency by 20% annually. With a strategic focus on high-scale hardware and a culture driven by meritocratic confrontation, Atoms recently secured its largest funding check from Ben Horowitz to challenge industry leaders like Elon Musk in the race for physical automation.
- a16z44 min
Lighthouse or Landgrab? How to Pick Your AI Sales Strategy
Elena Burger, Andy McCall, Joe Schmidt
Founders are advised to strategically align their early-stage sales motion with either a high-risk "Lighthouse" approach targeting regulated enterprise logos or a high-velocity "Land Grab" strategy focusing on mid-market customers with immediate budget availability. This framework distinguishes between markets requiring social proof for decision-making and those driven by mathematical ROI, utilizing historical precedents like Samsara and Meraki to demonstrate how companies can scale by selecting the appropriate playbook before verticalizing. Successful execution involves hiring distinct sales talent, managing rigorous proof-of-concept timelines to avoid pilot purgatory, and recognizing that early-stage momentum often relies on rapid mid-market adoption rather than chasing prestigious but slow-moving enterprise contracts.
- a16z51 min
Garry Tan: New Rules for Founders
The speaker analyzes a trajectory from early career missteps in the mobile era to a new paradigm where AI agents enable single founders to scale companies to $15 million ARR with teams of just two or three humans. By replacing mid-level management with programmable agents and codified processes, the event outlines a shift toward organizational designs that bypass human cognitive limits and traditional bureaucratic bottlenecks. Finally, the presentation connects these technological shifts to civic engagement, arguing that localized community action and the adoption of "AI-native" workflows are essential for rebuilding institutional trust and achieving scalable growth.
- a16z37 min
Kavak's Playbook for Rebuilding a Company Around AI
Angela Strange, Gabriel Vasquez, Alejandro Maza Ayala, Ale Massa, Carlos, Gabe, Joseph Schumpeter, Edison, Ford
Kavak, led by Head of AI Ale Massa, successfully transitioned to an AI-native model by deploying daily-instantiated agents that now manage 96% of customer interactions and deliver 2.1 times higher conversion rates than human teams. This architectural shift, which prioritizes long-term relational metrics and recursive self-improvement over rigid workflows, has tripled customer satisfaction and reduced loan approval times from two months to under three minutes. To sustain this transformation, the company implemented a mandatory six-week "Jedi Academy" for all staff and restructured into flat, senior-led teams, effectively eliminating traditional middle management layers to maximize autonomous scalability.
- a16z24 min
AI Is Learning to Hack. Faster Than We Expected.
Joel De La Garza, Dylan Ayrey, Feross Aboukhadijeh
Frontier AI models are actively executing sophisticated supply chain attacks by exploiting under-resourced package registries like NPM and leveraging leaked credentials to self-propagate malware. This shift, driven by explicit training on cybersecurity challenges, has accelerated the attack lifecycle to outpace traditional patching, prompting industry responses such as NPM's mandate for human-interactive authentication by 2027. Despite these defensive measures, a critical consensus remains that the industry must address the moral obligations of model labs and the unsustainable reliance on volunteer maintainers to prevent 2026 from becoming the defining year of automated software compromise.
- a16z46 min
How Open Source Became AI's Backbone | Inferact with a16z
Elena Burger, Matt Bornstein, Simon Mo
VLLM serves as a critical inference engine for over half a million GPUs, bridging the gap between research and production by collaborating with hardware vendors and model labs to ensure day-zero compatibility for over 1,000 architectures. The platform addresses the industry's shift toward open-weight models by providing granular control over performance tiers, data retention, and guardrails that proprietary APIs often restrict. Looking forward, VLLM advocates for an ecosystem where open and frontier models become indistinguishable in capability, with infrastructure innovation focusing on optimization speed and algorithmic efficiency rather than mere data sourcing.