Latest Interviews
Showing 1–15 of 384 transcripts.
Clear all filters- 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.
- a16z10 min
The Ocean Company - Ulysses | a16z American Dynamism
Will O'Brien, Akhil Voorakkara, Jamie Wedderburn
Ulysses has pivoted from a demand-constrained startup to a supply-limited entity capitalizing on the global E-AI super cycle to build a 24/7 autonomous robot network comparable to satellite constellations. The company leverages its modular vehicle architecture and in-house manufacturing to deliver cost-effective solutions for critical sectors including offshore restoration, defense mine countermeasures, and undersea infrastructure security. With a strategic vision to dominate the ocean domain within 15 years, Ulysses directly addresses the inadequacy of traditional military investments by deploying asymmetric, autonomous systems against threats ranging from naval mines to cable sabotage.
- a16z13 min
The Nuclear Renaissance - Radiant | a16z American Dynamism
Tori Shivanandan, Doug Bernauer
Radiant Energy is developing the transportable Kaleidos micro-reactor, a modular nuclear power unit designed to replace aging infrastructure and support applications ranging from AI data centers to deep space exploration. Founded by former SpaceX engineer Doug Kim, the company leverages a factory-built assembly line model to deliver plug-and-play energy modules with a five-year fuel cycle, aiming to conduct its first full-power test at Idaho National Laboratory's Dome by 2026. This initiative seeks to restore U.S. energy independence and accelerate nuclear innovation by overcoming historical regulatory stagnation through a commitment to aggressive safety testing and mass production.
- a16z1h 20m
How Decagon Runs 90% of Its Agents on Open-Source Models
Sarah Wang, Kimberly Tan, Jesse Zhang, Ashwin Sreenivas
Decagon Labs challenges the prevailing 2026 narrative that AI agents will replace all software by establishing a dedicated "model factory" that prioritizes open-source fine-tuning over frontier models to achieve superior latency for voice interactions. The company differentiates its enterprise deployment through a "glass box" approach and its Duet Autopilot system, which automates the creation of agent procedures and reduces production timelines from years to months. Despite rapid international expansion and the lowering of technical barriers, Decagon contends that the primary constraint remains human talent acquisition while affirming that AI will drive new service demand rather than eliminating careers or rendering legacy SaaS obsolete.
- a16z59 min
“Every small business should run itself” | Lassie with a16z
Alex Rampell, Olivia Moore, Steijn Pelle, Frédéric Renken
Founders of Lassie address severe labor shortages in U.S. small businesses by developing autonomous AI agents that execute complex administrative workflows rather than merely digitizing data storage. Initially launched in the dental sector to replace 200 hours of monthly manual paperwork for practices like Dr. Kwan's, the platform utilizes a human-in-the-loop evolution to achieve 95% automation and targets a $1 billion market by selling labor savings instead of software licenses. This approach leverages regulatory shifts toward direct deposit and proprietary workflow ontologies to create a defensible moat against incumbents, with plans to expand into fully autonomous business operations across healthcare and other labor-constrained industries.
- a16z42 min
Fei-Fei Li is Solving the Hardest Problem in Robotics | World Labs with a16z
Fei-Fei Li, Martin Casado, Yunzhu Li
World Labs is acquiring Cynics to fuse its generative "Marble" spatial intelligence model with advanced robotics simulation, creating a scalable pipeline that replaces dangerous physical data collection with reliable digital environments. Led by CEO Fei-Fei Li alongside Cynics' leadership team, the merged entity will deploy this technology in semi-structured industrial settings to train multimodal "omni models" capable of counterfactual reasoning and efficient robot control. This strategic integration aims to validate a robust "real-to-sim-to-real" framework with early commercial customers before addressing the complexities of unstructured human environments.
- a16z1h 32m
Building a Company in Stealth | Travis Kalanick with a16z
Travis Kalanick, Ben Horowitz, Erik Torenberg
Travis Kalanick, reflecting on lessons from his 2017 departure from Uber, is now leading ADAM, a stealth-backed venture that digitizes physical manufacturing and logistics to drive meal costs down to $8–$10. By integrating over 300 dark kitchen facilities and autonomous mining operations acquired from Pronto, the company leverages robotics to transform heavy industries while avoiding the external pressures that previously hindered Uber's scalability. Kalanick applies an "Industrial AI" framework focused on internal correctness and management capacity constraints to scale operations in food, mining, and transport simultaneously.
- a16z1h 20m
Why Physical AI Is the Next Frontier | Applied Intuition with a16z
Marc Andreessen, Erik Torenberg, Qasar Younis, Peter Ludwig
Founded by Peter Cawthorne, Applied Intuition is launching its "Dana" platform to democratize the development of physical AI for non-automotive sectors like mining, agriculture, and defense. Operating as a horizontal technology provider similar to Nvidia, the company leverages a decade of proprietary data collection and rigorous safety validation to help clients navigate the complex hardware integration required for real-world autonomy. With over $1 billion in cash reserves, the firm aims to scale operations that could outperform traditional digital giants within the next 25 years while challenging legacy manufacturing models through vertical-free deployment.
- a16z26 min
"Meme Your Dream into Reality" | Replit CEO with a16z
Replit CEO Amjad Chaudry transformed his company from a pre-revenue startup into a profitable entity by leveraging a "build in public" strategy that utilized personal storytelling and exposure therapy to manage public scrutiny. This approach included turning the accidental deletion of a customer database into a trust-building moment by openly admitting fault and rapidly implementing mandatory security fixes. The discussion further outlines how leaders can navigate viral mechanics on platforms like X and Instagram while adopting risk management tactics such as acknowledging mistakes to turn potential crises into positive engagement.
- a16z42 min
Ben Horowitz on the Global Race for Tech, Power, and Influence
Ben Horowitz, Anne Neuberger, Raghu Raghuram, Jen Kha
Andreessen Horowitz is formally launching a global strategy that expands its operations beyond Silicon Valley to secure American technological leadership through dedicated offices in San Francisco and strategic partnerships in key allied regions like Japan, Mexico, and the Middle East. The firm leverages its unique government relations and industry networks to help portfolio companies navigate complex, non-transactional international markets, explicitly aiming to embed democratic values into global AI infrastructure while countering authoritarian tech models. By integrating capital with diplomatic and commercial alliances, the strategy focuses on accelerating the global expansion of U.S. startups and strengthening national security through private-sector innovation in defense and cybersecurity.
- a16z42 min
The New Media Advantage with Ben Horowitz and Marc Andreessen
Ben Horowitz, Marc Andreessen, Erik Torenberg, Gaby Goldberg
The event details a fundamental shift from restricted legacy media to an offense-oriented, direct-to-audience strategy where founders must prioritize the "person as brand" over corporate abstraction. Speakers argue that traditional journalistic gatekeeping is obsolete, urging executives to adopt an "outside-in" narrative framework that links their companies to macro-trends like geopolitics and supply chain crises, as exemplified by Alex Karp and Ryan Peterson. To succeed, founders are advised to reject scripted media training in favor of authentic, polarizing communication and to build teams skilled in long-form storytelling rather than traditional public relations.
- a16z1h 1m
The Economics of AI Usage and What's Next For SaaS | Benedict Evans on a16z
Benedict Evans, Erik Torenberg
Benedict Evans analyzes the rapid transition of agentic coding into a definitive product-market fit, noting how massive CapEx investment by major tech firms is currently creating a disequilibrium between supply and demand. He argues that while foundation models may eventually become low-margin commodities akin to mobile infrastructure, the immediate future involves significant adoption challenges and a divergence between deep workflow integration and superficial usage. Ultimately, Evans suggests that AI will drive profound economic restructuring and invisible automation, though the primary financial value will likely accrue to application-layer companies rather than the model providers themselves.
- a16z33 min
The New Rule for Picking AI Winners | The a16z Show
Frontier AI firms like Anthropic and OpenAI are currently outpacing the combined revenue growth of major tech giants, with a projected collective run rate of $200 billion driving valuations toward $100 billion by September. While current enterprise adoption remains largely efficiency-focused, supply chain constraints are expected to persist until late 2028, preventing an oversupply bubble despite the rapid scaling of $5 trillion in data center capital expenditures. As venture strategies pivot to securing market leaders in a shrinking startup half-life, the industry is poised for a structural shift where dominant AI entities redefine public market dynamics and consumer engagement over the next decade.
- a16z55 min
The $1 Trillion Firm That Refuses The Private Equity Label | a16z
Apollo Global Management is pivoting from traditional private equity into a global retirement services giant with over $1 trillion in assets to address systemic market concentration and fund the capital-intensive AI infrastructure boom expected in 2025 and 2026. By standardizing private credit products and expanding into hybrid equity, the firm aims to provide diversification for public markets while navigating the shift toward hard-asset financing for data centers and energy. Simultaneously, Apollo is restructuring its organizational culture to prioritize merit and technological adaptation, positioning itself to capture value in a landscape where traditional enterprise software valuations face obsolescence due to artificial intelligence.