Latest Interviews
Showing 1–15 of 124 transcripts.
Clear all filters- 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.
- 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.
- 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.
- 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.
- 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.
- a16z1h 14m
Goldman Sachs Chairman on Why Finance Adopts AI Differently | a16z
A senior financial leader outlines a risk management philosophy centered on rigorous contingency planning rather than prediction, while highlighting the unique systemic threats posed by autonomous AI and untested technology. The speaker details how Goldman Sachs maintained stability during the 2008 crisis through strict collateral agreements and mark-to-market accounting, preserving a partnership culture that prioritizes firm-wide ownership even after its IPO. Drawing parallels between financial crises and active shooter scenarios, the discussion advises current and future technology leaders to build public trust proactively and cultivate broad resilience to navigate an uncertain future.
- a16z1h 6m
Marc Andreessen’s Worldview in 60 Minutes | Live on MTS
Marc Andreessen, Erik Torenberg
The event details a surge in individual productivity where AI tools enable programmers to become 20 times more efficient and former non-coders to act as autonomous "builders," potentially driving a global economic expansion rather than mass unemployment. It further examines the DOJ's criminal indictment of the SPLC for alleged money laundering and funding of hate groups, while contrasting public skepticism of AI with its actual high utility among younger generations. Finally, the discussion outlines a generational shift where "AI natives" leverage these tools for unprecedented output, predicting a US-led technological golden age that may see Europe lag due to restrictive regulations.
- a16z1h 23m
Building Blackstone, Backing Costco, and Working with Munger | Tony James on The a16z Show
Tony James, Munger, David Haber, Jim Sinegal, Steve Schwarzman
James transformed DLJ from a niche player into a market leader with $14 billion in sales, subsequently steering Blackstone to nearly $1 trillion in assets by cultivating a team-based culture and scalable platform. His strategic investments in entities like Costco and his tenure alongside Charlie Munger underscore a philosophy rooted in flawless execution and long-term value creation. Looking forward, James advocates for structural shifts in private credit and fund models while championing an HBCU initiative designed to leverage private equity capabilities for broader societal impact.
- a16z58 min
Aaron Levie on AI Adoption and Enterprise Workflows | The a16z Show
Aaron Levie, Steven Sinofsky, Martin Casado
Organizations are pivoting from failed centralized AI mandates to integrating autonomous agents directly into legacy workflows, necessitating significant architectural shifts beyond traditional hybrid software models. While token-gaming and system integration bottlenecks currently stifle productivity gains, the resulting increase in infrastructure complexity and code volume is projected to drive sustained demand for engineering talent rather than reduce it. This transition requires years of organizational change management to modernize fragmented data environments, ultimately creating a multi-decade opportunity for system integrators to bridge the gap between probabilistic machine users and rigid enterprise security protocols.
- a16z1h 6m
Marc Andreessen on how the internet changed news, politics, and outrage | The a16z Show
Marc Andreessen, Erik Torenberg, Theo Jaffee
The event analyzes how social media accelerates a 2.5-day viral panic cycle that rapidly displaces historical context, transforming real-world events into tribal moral conflicts regardless of factual truth. While this digital ecosystem fuels intense online outrage, the discussion notes that actual political violence remains at historical lows because virtual combat acts as a social safety valve for energy that previously manifested physically. Looking forward, the analysis predicts a shift from legacy media dominance to a "podcast election" in 2024 and a future where a true internet-native candidate emerges by 2032, entirely deriving legitimacy from online algorithms rather than traditional institutions.
- a16z54 min
Building Agents at Home: Homeschooling, Parenting and More | The a16z Show
Katherine Boyle, Sarah Wang, Jesse Genet
Former Y Combinator founder Jessie utilizes a fleet of eleven autonomous agents built on the Open-Claw framework to simultaneously manage a homeschooling household for four young children and develop advanced technical products. By adopting a "benevolent neglect" parenting strategy and delegating daily tasks to specialized software agents running on isolated Mac Minis, she successfully reverses typical trade-offs between deep tech work and active family engagement. This operational model demonstrates how non-technical founders can achieve a Cambrian explosion in personal capability, potentially reshaping future domestic economics by making remote, AI-driven parenthood viable without traditional startup pressures.
- a16z58 min
Box CEO on the AI Adoption Gap | The a16z Show
Erik Torenberg, Steven Sinofsky, Martin Casado, Aaron Levie
Industry leaders predict that widespread enterprise AI adoption will lag behind Silicon Valley expectations due to deep domain complexities and a looming financial crisis where CFOs must allocate 14% to 30% of R&D revenue to volatile compute costs. As software architecture shifts toward agent interfaces that prioritize automated task execution over human interaction, a strategic divide is emerging between agile startups and risk-averse incumbents struggling to secure system integrity against autonomous integration. Consequently, the market is transitioning to granular usage-based models while preparing for a paradigm where agents act as primary selectors of software tools, forcing vendors to evolve beyond legacy interfaces to remain relevant.
- a16z1h 6m
Balaji Srinivasan on The Future of AI | The a16z Show
Balaji Srinivasan, Erik Torenberg
The speaker redefines human-AI collaboration by positioning humans as strategic leaders who direct specialized AI "actors," creating a trusted ecosystem where value shifts toward personalized, private instances and verification services. Parallel to this technological evolution, the discussion details a bifurcated future for digital currency in which Bitcoin serves as transparent institutional collateral while Zcash-powered tools like Zedal provide quantum-resistant privacy for individual transactions. Ultimately, the presentation argues that political constraints and resource scarcity will prevent centralized AI dominance, fostering a polytheistic landscape of decentralized models and democratized global entrepreneurship.
- a16z50 min
What Tesla and SpaceX Teach Founders About Building Hardware | a16z
Erin Price-Wright, Chandler Luzsicza, Turner Caldwell
Chandler Lujitsa, former lead propulsion engineer for SpaceX's Starship, and Turner Caldwell, who built a billion-dollar lithium refinery at Tesla, founded Galadai and Mariana Minerals respectively to apply aerospace and automotive efficiency to defense and critical mineral supply chains. Both founders have operationalized flat organizations, aggressive scheduling, and factory-style manufacturing to solve industry-specific bottlenecks, such as underproducing missile systems and lacking software coordination in mining. Their ventures are currently targeting rapid scale-up through vertical integration strategies, autonomous robotics adoption, and aggressive hiring pipelines designed to sustain high-velocity execution in capital-constrained environments.