20VC with Harry Stebbings
Showing 91–105 of 691 transcripts.
- 1h 3m
OpenAI's Codex Lead: Why Coding as We Know It is Over
Alexander Embiricos, Harry Stebbings
Alexander Mberikos outlines a strategy where AI adoption accelerates by prioritizing user fluency through internal coding tools and open standards before deploying autonomous agents to non-technical users. He argues that while LLMs will compress specialized roles into full-stack builders and render traditional product management optional for small teams, sustainable enterprise value depends on securing deep customer relationships in regulated industries rather than acting as disposable integration layers. The ultimate vision involves a market consolidation around "super-agent" providers that enable effortless, context-aware intelligence, shifting the primary engineering metric from revenue to task completion within a conversational interface framework.
- 1h 37m
Thrive Raises New $10B Fund | OpenAI Buys OpenClaw | Stripe at $140B: Is Adyen Wildly Undervalued?
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Anthropic secured a $30 billion round at a $380 billion valuation while Thrive Capital closed a $10 billion fund, driving a market shift where venture capital prioritizes massive, concentrated stakes in AI infrastructure over traditional early-stage diversification. This momentum has inverted sentiment toward mature SaaS, causing public software stocks to trade at depressed multiples despite strong fundamentals as enterprises aggressively adopt AI agents that risk rendering legacy user interfaces obsolete. Meanwhile, the competitive landscape is evolving with OpenAI's acquisition of OpenClaw and Workday's leadership return, signaling that autonomous agents are reshaping security paradigms and forcing incumbent founders to confront the rapid disruption of established workflow tools.
- 1h 30m
Klarna CEO: SaaS is Dead: Why Systems of Record Will Die in an Agentic World
Sebastian Siemiatkowski, Harry Stebbings
Klarna has executed a radical workforce reduction from 7,000 to under 3,000 employees by leveraging AI to accelerate product delivery and eliminate the need for new capital or recruitment, while simultaneously doubling compensation per remaining staff. The company is pivoting from a Buy Now, Pay Later provider to a full-stack digital financial assistant and banking platform, aiming to convert its existing user base into active banking customers while internalizing its tech stack as an AI-native operating system. This transformation anticipates a further headcount drop to fewer than 2,000 by 2030 through natural attrition, challenging traditional financial incumbents by reducing switching costs and shifting value from software generation to data integrity.
- 16 min
The Ruthless Sales Culture Behind ElevenLabs Growth | Carles Reina
11 Labs enforces an aggressive sales culture by setting quotas at 20 times base salary, a structure that has driven an 80% success rate over two and a half years while distinguishing itself through a dual-compensation model that aligns Account Executives and Customer Success Managers on retention. Leadership maintains this high-performance environment through mandatory remote pipeline reviews, ruthless public accountability for missed targets, and a strategic pivot from inbound reliance to a 40% outbound sales mix. The organization manages turnover by terminating underperformers with severance while retaining long-cycle sellers, ultimately fostering a remote-first team that prioritizes autonomous, road-warrior execution.
- 1h 25m
Anthropic's Super Bowl Ad: Who Won & Lost? | Sierra Hits $150M ARR: Is Customer Support Too Crowded?
Mike Cannon-Brookes, Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Projections suggest Anthropic and OpenAI could command nearly half the global software market by 2029, forcing a strategic shift toward Total Addressable Market expansion rather than zero-sum displacement of incumbents like Microsoft. While foundation models face valuation constraints in input-constrained sectors, service-oriented industries may experience a Jevons Paradox where AI efficiency drives increased demand for support and strategic implementation consulting. Concurrently, Atlassian reported 23% revenue growth and 44% increase in future obligations as AI-assisted coding accelerates engineering output and creates an island of stability for product development teams.
- 1h 20m
a16z, Anish Acharya: Is SaaS Dead? Do Margins Still Matter? Why We Are Not in an AI Bubble?
Anish Acharya, Harry Stebbings
Andreessen Horowitz outlines a rigorous investment strategy that prioritizes Series A capitalization in companies demonstrating verified product-market fit while rejecting the notion that AI will immediately displace core enterprise software systems. The firm argues that while traditional SaaS incumbents retain strong pricing power, sustainable competitive advantages now rely on live data network effects and "native categories" that leverage human emotion rather than commoditized foundation models. By shifting focus toward verticalized applications and consumption-based unit economics, a16z anticipates that the next decade of value creation will emerge from specialized AI tools augmenting human workflows rather than fully autonomous agents or blanket software replacement.
- 1h 37m
The SaaS Massacre: Public Market Collapse |Microsoft Lost $360B & NVIDIA’s $100B Dispute with OpenAI
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
SpaceX has completed its acquisition of X.AI to create a $1.25 trillion entity capable of unlimited capital deployment for AI infrastructure, signaling a strategic pivot toward public markets to fund massive compute needs. Concurrently, the autonomous vehicle sector faces valuation pressures with Waymo securing a $110 billion round and Tesla carrying a significant "Elon Premium" dependent on Full Self-Driving execution. These massive capital realignments are forcing a broader SaaS and venture capital recalibration where growth deceleration, agent-to-agent security risks, and a shift to free cash flow multiples are reshaping market narratives.
- 1h 15m
Oren Zeev: 50% of Funds Will Go Out of Business & Why GPs Shouldn't Tell LPs Their Strategy
Oren Ziv, a solo general partner managing over $1 billion with a 100% fee reinvestment policy, predicts a market bifurcation where only massive platforms or agile boutiques will survive as the majority of current venture funds stall. He advises founders to treat high pre-money valuations with caution while implementing a strict investment filter that prioritizes companies poised as AI beneficiaries over those facing disruption risks. Ziv's approach emphasizes radical GP-LP alignment and character-based selection, arguing that the fundamental math of venture compounding remains unchanged despite the AI revolution and upcoming liquidity events from major IPOs in 2026 and 2027.
- 1h 18m
Anthropic Inference Costs Skyrocket |TikTok Deal Closes |The IPO Market:Wealthfront & EquipmentShare
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Capital One's $5.15 billion acquisition of Brex integrates the fintech with Discover's payment network to capture interchange fees, setting a market benchmark of 7x revenue that pressures private competitors like Ramp to reconsider their valuations. Concurrently, a unique TikTok divestiture structure allowed US investors to acquire an 80% stake for roughly 1x revenue while Chinese entities retain the algorithm, a deal skipped by major venture firms despite its low entry price. In the AI sector, Anthropic's shifting cost dynamics and Open Evidence's massive raise highlight a transition where inference expenses now dominate margins, forcing legacy SaaS firms to either secure premium pricing for agent-based value or face obsolescence.
- 1h 7m
Legora CEO, Max Junestrand: $7M ARR in a Day | Harvey vs Legora: Is a Legal AI Winner Takes All?
Max Junestrand, Harry Stebbings
In December 2025, legal AI company Legora achieved record-breaking growth by adding $7 million in ARR in 24 hours, a gain surpassing its 2023 and 2024 totals while expanding its workforce from 30 to 300 employees. Founder Max Dunstrand positions the firm as a centralized operating system for legal work, recently securing top UK deployment figures over competitor Harvey and shifting its U.S. revenue strategy to capitalize on a market the leadership views as winner-takes-all. Looking forward, the company predicts significant industry consolidation and a reduction in junior lawyer reliance over the next two years, driven by its consumption-based pricing model and intensive forward-deployed engineering approach.
- 1h 23m
Elon Musk vs Sam Altman | The Implosion of Thinking Machines | Can VC Survive Public Pricing?
Elon Musk, Sam Altman, Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Current public market valuations are aggressively re-rating high-growth companies while exposing the structural vulnerability of the venture capital model if it fails to convert revenue multiples into cash flow quickly. This financial pressure is intensifying a fierce talent war for technical visionaries at firms like Thinking Machines, even as the Sam Altman and Elon Musk litigation forces OpenAI to fully clarify its for-profit status. Simultaneously, the industry is pivoting toward monetization strategies that include AI-integrated advertising and massive late-stage capital allocation by mega-funds to secure dominance in the emerging agent era.
- 1h 13m
Harvey CEO Winston Weinberg: How to Make Mega Deals | Lessons from Rabois, Halligan & Grady
Winston Weinberg, Harry Stebbings
Harvey's leadership outlines a strategic pivot to transform their legal AI platform from productivity software into critical industry infrastructure, projecting $500 million in Annual Recurring Revenue within a three-to-five-year window driven by enterprise AI capabilities. This growth trajectory aims to justify an $8 billion valuation by prioritizing deep integration across 17+ disparate systems and shifting hiring focus toward senior infrastructure engineers rather than front-end developers. The company mitigates existential risks from major model providers by maintaining a model-agnostic routing strategy while emphasizing long-term investor relationships over short-term valuation spikes to ensure sustainable scaling.
- 1h 31m
Anthropic’s $10B Raise | a16z’s $15B Fund: Is the Middle Dead in VC? | How OpenAI Could Go to Zero?
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Anthropic secured a $10 billion investment at a $350 billion valuation to dominate enterprise and coding markets, while OpenAI faces existential pressure from Gemini and potential macro disruptions that threaten its capital-raising ability. Simultaneously, Andreessen Horowitz leveraged a $15 billion fund to enforce a winner-take-all strategy, forcing mid-sized firms to specialize or exit as the industry shifts toward concentrated late-stage dominance with correlated valuation risks. These market dynamics coincide with fears that proposed California wealth taxes will trigger a founder exodus, while AI-driven revenue-per-employee efficiencies threaten to displace high-quality jobs and exacerbate economic inequality.
- 1h 15m
Alex Rampell: The Best Founders Materialise Capital, Customers & Labour | The Future of Venture
Andreessen Horowitz is deploying $15 billion across its portfolio, prioritizing growth-stage investments in greenfield markets and high-agency founders while rejecting mid-size generalist structures. The firm's strategy targets companies that replace human labor, leverage non-replicable data moats, or become essential systems of record to navigate a compressed disruption cycle. By favoring high ownership in risky ventures over consensus deals with low stakes, a16z aims to build enduring value in an AI-driven era where rapid product evolution threatens legacy software.
- 15 min
The Brutal Truth About Hiring, Firing, and Building World-Class Sales Orgs | Chad Peets
A speaker outlines a rigorous sales hiring philosophy that prioritizes candidates with extreme resilience and a specific "startup survival" background over those with privileged histories or solely large-enterprise experience. The strategy emphasizes validating deep pipeline generation skills, rejecting generic quota metrics in favor of granular deal details, and aggressively managing performance through a modeled 25% annual attrition rate to ensure only top talent remains. This approach demands that leaders hire for the company's current stage rather than future growth, firing underperformers within weeks to maintain a culture of high accountability and prevent A-players from leaving.