a16z is a venture capital firm that invests in software eating the world. Each week, we share videos on technology trends and advice for building companies. The views expressed here are those of the individual personnel quoted and are not the views of a16z or its affiliates. This content is provided for informational purposes only, and should not be relied upon as legal, business, investment, or tax advice. Furthermore, this content is not directed at nor intended for use by any investors or prospective investors and may not under any circumstances be relied upon when making a decision to invest in any a16z funds. PLEASE SEE MORE HERE: https://a16z.com/disclosures/
Jake Paul and Anti Fund co-founder Geoffrey Woo announce their oversubscribed $100 million growth fund backed by tier-one LPs like Andreessen Horowitz, while explaining how Paul's resilience and analytical operator mindset translate from entertainment to backing frontier tech companies.
The media landscape has shifted from defense-oriented legacy outlets demanding plastic, controversy-free performances to an offense-driven ecosystem where authenticity and founder-led personal brands dominate; success now requires treating public conversations like private ones and building direct channels rather than relying on traditional press.
Benedict Evans compares today's AI landscape to the internet in 1997, arguing that agentic coding has emerged as the first true product-market fit use case while the industry grapples with severe infrastructure scarcity and an uncertain future where foundation models risk becoming commoditized infrastructure rather than value-capturing platforms.
Frontier AI model companies are achieving hyperscaler-scale revenue growth with less than 5% economic diffusion, creating extraordinary value creation potential, yet rapid technological shifts and uncertain market structures make predicting ultimate winners increasingly difficult compared to prior tech cycles.
Marc Rowan, CEO of Apollo Global Management, argues that extreme concentration in public markets has made private markets essential for diversification, detailing how Apollo evolved from a Drexel offshoot into a $1 trillion retirement services giant bridging the gap between infrastructure borrowers and income-seeking retirees.
Former Goldman Sachs Chairman Lloyd Blankfein explains why modern risk management is about contingency planning rather than prediction, warns that AI's untestable leverage poses unprecedented financial dangers, and reflects on how his upbringing in Brooklyn public housing shaped a crisis-tested leadership philosophy.
Marc Andreessen argues that AI is ushering in a golden age of productivity while warning that institutional corruption—exemplified by AI safety advocates inadvertently training models on doomer literature and advocacy groups allegedly funding the hate groups they claim to oppose—reveals how fear and false empathy often manufacture the very crises they purport to solve.
Tony James details his 25-year journey transforming Donaldson, Lufkin & Jenrette from a struggling five-person team into a $29 billion Wall Street powerhouse through merchant banking and high-yield debt, while sharing insights from early investments in Costco and Starbucks and the decision to sell at the 2000 market peak.
Enterprise AI adoption is stalling because big companies face massive integration debt with legacy systems and organizational friction from centralized decision-making, while Silicon Valley engineers operate in a fundamentally different technical environment that masks the real-world complexity of enterprise workflows.
Marc Andreessen argues that the internet has recreated and accelerated CNN's "randemonium" model—where media locks onto the single most compelling "current thing"—creating a global village of 8 billion people who experience reality as a continuous series of 2.5-day viral outrage cycles that make political prediction impossible while potentially reducing physical violence.
Signüll argues that while AI capabilities have advanced dramatically, most users remain stuck on basic tasks, creating a massive accessibility gap. He explores how modern AI development now requires architecting personality and soul rather than just utility, and advises founders to pursue passion-driven problems rather than forcing AI into verticals they don't care about.
Former YC founder Jesse Genet explains how AI agents enable her to homeschool four children under five while simultaneously building technical projects, reversing her resignation to a five-year career pause and demonstrating how voice-first automation creates a new infrastructure for caregiving.