The a16z Show

Fei-Fei Li × Justin Johnson × Ben Mildenhall × Martin Casado

World Labs’ Atlas introduces novel-view prediction as a foundation-model primitive, unifying 3D reconstruction and generation through camera-conditioned outputs.Three iPhone shots can replace 100–300 room photos, a claimed 50–100× capture reduction, while Atlas targets robotics’ data bottleneck.The open commercial test is industrial-grade editability and control without degrading quality; dynamics are claimed latent, but this remains a milestone beyond entertainment.

Erik Torenberg × Alex Rampell × Max Levchin

Visa and Mastercard still impose a roughly 2.5-second transaction window, a roughly 60-year-old standard that limits room for antifraud and payment innovation even as agents could reopen the interface.Affirm shows where the economics are strongest: Beautylish installments lifted conversion 30%, merchants fund negative CAC, and products up to 3½ years require machine-learning underwriting, while whether consumers will delegate purchase choices remains unresolved.

Jorge Conde × Stéphane Bancel

Moderna and Merck’s personalized mRNA cancer vaccine met its Phase 3 primary endpoint in melanoma and also hit distant metastasis-free survival at the first interim analysis, with patient availability hoped for in 2027.Phase 2 showed 50% five-year recurrence-free survival versus Keytruda alone and 80% disease-free; inside-cell antigen presentation and a Marlborough facility capable of tens of thousands of doses support scale, while pricing and 20% nonresponse remain watchpoints.

Lisha Li × Daniel Litt

Litt’s favorite autonomous signal is the mid-May solution to the Irish unit-distance problem, whose classical 1960s techniques helped mathematicians find counterexamples elsewhere, including the sum-product conjecture over the real numbers.Models remain weak at theory-building and long-proof verification, while slot-machine papers risk mode collapse, making human-led research diversity and the accumulation of understanding important watchpoints as capabilities advance.

David George × Gavin Baker

AI demand accelerated through July and August, with usage concentrated among possibly sub-10 million heavy users and no leader identifying a worsening quantitative metric.Nebius suggests nine-to-ten-month paybacks on $50B-per-gigawatt builds, supported by 50-60% customer prepayments; undersupply through ’28 could lift token prices, while shifting capacity to training could cut lab revenue from $480B to $120B.

Ben Horowitz × Martin Casado × Raghu Raghuram × Erik Torenberg

a16z’s new AI infrastructure fund captures a founder migration into hardware, with top-founder hardware pitches rising from roughly 3–5% to “north of 20% or 30%.”Hyperscaler capex, booked-out GPUs and resale premiums support opportunities across chips, power and cooling, while grid shortages, regulation and uncontrolled agent spending remain constraints.

Martin Casado × Sarah Wang × Matt Bornstein

Cursor’s interface-over-model thesis challenged Microsoft’s Copilot despite its VS Code, OpenAI weights, 100 million developers, and enterprise distribution.Rejecting a $25–50M ARR self-serve ceiling, it built enterprise sales reaching over 50% of the Fortune 500, where margins matter; its IDE-to-agent-to-model shift still faces model releases such as Opus 4.5 and an unnamed acquirer’s potential compute-distribution-data fit.

Anish Acharya × Jen Kha

Frontier AI is becoming a many-winners market: xAI moved from non-contender to one of three in two weeks while OpenAI, Anthropic and others grow through specialization.Rising B200 per-hour prices indicate constrained supply and essentially infinite demand, but coding agents threaten integration moats; open-weight models may capture bounded-upside workloads as cheaper consumer software awaits an AI-native app store.

Martin Casado × Erik Torenberg × Steven Sinofsky

AI is shifting the industry from engineering-bound to capital-bound, giving small teams and startups such as Cursor, Anthropic and OpenAI new leverage against incumbents.Token and GPU demand turn distribution into a spending decision, but mathematical advances do not establish market value or predictive power.Applications, clinical testing and larger training runs will test whether this is a durable abstraction shift.

Elena Burger × Angela Strange × Gabriel Vasquez

AI is reversing a16z’s international sourcing flow toward Silicon Valley, where borderless founders can compound differentiated talent, government-backed validation, and enterprise access across countries.With 40% of a16z’s investments in international founders, the test is whether diaspora networks and 3–6 months of Bay Area immersion create durable customer and talent advantages.