Latest Interviews
Showing 46–50 of 50 transcripts.
Clear all filtersRippling vs. Deel Lawsuit: WTF Happens Now? The Future of the Late Stage Private Market
Rory O'Driscoll, Jason Lemkin, Harry Stebbings
The Chime S1 filing reveals an expected IPO valuation of $10 billion to $12 billion, a significant drop from its $25 billion private peak driven by regulatory reliance on the Durbin Amendment and potential investor ratchet protections. This event reflects broader venture market shifts where financial services firms prioritize public listings for scalable capital while AI adoption threatens traditional SaaS moats by commoditizing core applications. Concurrently, corporate strategies are pivoting toward aggressive settlements in legal disputes and structural transitions like OpenAI's move to a Public Benefit Corporation to navigate governance and profitability challenges.
OpenAI, SBF & Perplexity: What VCs Know That You Don’t
SBF, Rory O'Driscoll, Jason Lemkin, Harry Stebbings
Venture capital dynamics have shifted toward extreme concentration and speed, with firms like Sequoia and Tiger Global prioritizing massive stakes in high-conviction AI winners such as OpenAI and Scale AI to offset broader portfolio losses. Simultaneously, corporate strategies are evolving from hyperbolic job replacement rhetoric to gradual operational integration, as companies like Microsoft and Klarna balance aggressive automation goals with the reality of retaining human oversight for complex tasks. This environment is characterized by a contraction in early-stage funding that demands hard traction, while retail access expands through new vehicles despite lingering risks regarding valuation bubbles and liquidity constraints.
Benchmark vs a16z: Why Stage Specific Firms Win
Rory O'Driscoll, Jason Lemkin, Harry Stebbings
A recent analysis contrasts the hit-rate precision of focused funds like Benchmark against the aggregate returns of mega-funds, highlighting how the latter's dominance forces mid-tier firms into an "option value" squeeze while distorting Series A and B pricing. Concurrently, the venture landscape is shifting toward high-risk AI-driven "option value" investments as M&A activity accelerates with strategic acquisitions like Windsurf by OpenAI and distressed exits for high-flier startups. Experts warn that while AI will displace up to 50% of knowledge workers within 24 months, the broader economic impact may mirror historical tech revolutions by increasing efficiency without significantly boosting global GDP, compelling firms to adopt AI-first workflows or face obsolescence.
What Does it Take to Be Good at Series A and B Today?
Rory O'Driscoll, Jason Lemkin, Fabrice Grinda, Harry Stebbings
Venture capital markets are currently navigating a dual reality defined by an AI-fueled "gold rush" and a constrained liquidity environment where exit windows remain closed. Investors are diverging between aggressive "megatrend" bets on artificial intelligence and defense technology versus deep-value plays in digitized B2B sectors, while grappling with rapidly evolving risks such as model obsolescence and geopolitical instability. This high-velocity landscape is forcing strategic shifts toward earlier exits, a preference for "deranged" founders capable of exponential scaling, and a structural reevaluation of how private company lifecycles align with technological obsolescence.
a16z's $20BN Fund & Founders Fund's $4.6BN & Why Josh Kushner Has Mastered the Game
Josh Kushner, Rory O'Driscoll, Jason Lemkin, Harry Stebbings
The discussion analyzes a shifting venture capital landscape dominated by high-concentration "Thrive" strategies that prioritize massive late-stage liquidity over diversified early-stage portfolios, while noting that traditional SaaS models are becoming obsolete due to volatile product-market fits and aggressive AI competition. Investors face significant headwinds including a $2 trillion liquidity crunch in mature software, a mismatch between PE acquisition criteria and VC-backed horizontal startups, and ethical erosion driven by normalized secondary cash-outs and accounting manipulation. Despite these structural risks, institutions continue deploying capital into binary AI bets and founder-concentrated funds, even as market valuations reach unsustainable levels that threaten a future correction when private exit mechanisms fail to satisfy limited partners.