Harry Stebbings
Showing 106–120 of 632 transcripts.
Eventbrite Sold for $500M, Databricks $5B Raise at $134B Valuation & Why SaaS is Like Japan
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
OpenAI executed a strategic pivot to prioritize core product stability through an internal "code red" while deepening its financial alliance with Thrive Holdings to concentrate capital on proven winners. Concurrently, the market is witnessing a fierce competitive trajectory between Databricks and Snowflake, with Databricks rumored to command a $134 billion valuation at 55% year-over-year growth by leveraging its five-year technological lead in AI-centric data manipulation. These corporate maneuvers reflect a broader industry shift where incumbents are consolidating market share via security mandates and efficiency drives, forcing startups to either solve harder infrastructure problems or face rapid obsolescence in a capital-intensive environment.
Turing CEO Jonathan Siddharth: Who Wins in Data Labelling & Why 99% of Knowledge Work Will Disappear
Jonathan Siddharth, Harry Stebbings
Turing has repositioned itself as a research accelerator for the seven frontier AI labs currently training superintelligence, shifting its core focus from traditional data labeling to generating complex, multi-step real-world data for autonomous agents. Led by Jonathan Siddharth, the firm builds massive Reinforcement Learning environments to teach AI models to perform economically valuable tasks, serving clients like Disney, Pepsi, and BlackRock while offering fine-tuned deployments for on-premise enterprise security. This strategy addresses a projected $30 trillion automation market by replacing generic chatbots with specialized vertical data solutions, ultimately aiming to transform entrepreneurship and drive breakthroughs in fields such as medical research.
Anthropic Raises $30B from Microsoft & NVIDIA & NVIDIA’s Core Business Faces TPU Threat
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Anthropic's $350 billion valuation and $15 billion investment deal with Microsoft and NVIDIA signal a strategic shift toward multi-vendor partnerships and infrastructure verticalization, while NVIDIA maintains its market dominance despite substitution risks from hyperscalers developing custom chips. Corporate cultures are evolving toward "hyper-aggressive" execution to drive velocity, creating a stark valuation divide where AI-native startups like Sierra and Lovable command massive premiums compared to legacy software firms struggling to demonstrate accelerated growth. Looking ahead, the market anticipates a constrained IPO environment where success hinges on proving tangible AI-driven revenue, with potential consolidation only possible for entities that can successfully navigate antitrust hurdles or capture significant margin through in-house compute capabilities.
Base44’s Founder, Maor Shlomo on How Vibe Coding Will Kill SaaS
Base44 founder Mayol sold his solo-founder bootstrap business to Wix for $80 million, a deal structured to maintain a lean product team while leveraging Wix's infrastructure, ultimately driving the acquired company to over $100 million in annual revenue. Mayol leveraged this exit to pivot his strategic focus toward the emerging "vibe coding" category, predicting that AI-generated, vertically integrated software will eclipse traditional SaaS models by prioritizing user-owned applications and eliminating feature bloat. Drawing on his experience scaling Base44 through a prompt-only workflow, Mayol now advises investors to prioritize startups with deep infrastructure moats over commoditized prompting layers, citing the shift toward non-consolidated market dynamics and the imminent zero-cost model pricing.
Peter Thiel and Softbank Sell NVIDIA - Why? & Why VC Will Hit $1TRN and The Opening of Retail
Peter Thiel, Tomasz Tunguz, Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Cursor secured a $2.3 billion investment at a $30 billion valuation by promising 30–70% productivity gains for a developer market valued in the trillions, while relying on its lean 30-person structure to maintain high margins. The discussion contextualizes this deal within a volatile financial environment marked by AI supply constraints, macroeconomic stress signals, and a venture capital shift toward late-stage liquidity over traditional IPOs. Analysts project a future where three to four years of rapid disruption will consolidate the market, with Cursor competing against hyperscalers for dominance through deep workflow integration and proprietary model efficiency.
AI Fund’s GP, Andrew Ng: LLMs as the Next Geopolitical Weapon & Do Margins Still Matter in AI?
Andrew Ng identifies electricity and semiconductor supply as the primary bottlenecks constraining AI development, contrasting Western permitting delays with China's aggressive infrastructure expansion and its strategic use of open-weight models to drive geopolitical influence. He argues that US export controls have inadvertently accelerated China's domestic chip capabilities while predicting that a workforce dominated by AI-proficient veterans will replace traditional coders, fundamentally reshaping hiring practices and accelerating GDP growth through workflow re-engineering. Looking forward, Ng forecasts a decade of sustained technical evolution and medical breakthroughs, urging regulators to prioritize investment and talent attraction over restrictive policies to ensure the technology realizes its full economic potential.
Michael Burry Shorts NVIDIA and Palantir & Has Defensibility Died in a World of AI?
Michael Burry, Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Jason Fried and Harry Stebbings discuss the venture ecosystem's pivot from horizontal AI tools to autonomous agents, noting that early-stage defensibility is eroding while revenue accelerates for companies attaching to compute infrastructure or replacing human labor. The hosts analyze a leadership shakeup at Sequoia Capital and highlight specific market winners like Datadog and Gamma that achieved success through vertical specialization and capital efficiency. Ultimately, the conversation identifies a binary fundraising environment where founders must secure top-tier backing or demonstrate immediate AI-native growth to survive, signaling a transformative era in software development since the 1990s.
Benchmark's GP, Everett Randle on Why Mega Funds Will Not Produce Good Returns
Everett Randle, Ev Randle, Harry Stebbings
Benchmark partner Everett Randall introduces a new framework for evaluating AI companies that prioritizes absolute gross profit and capital velocity over legacy SaaS metrics, while acknowledging the structural limitations of mega-funds in achieving high net multiples. He contrasts this with Benchmark's craft strategy, which focuses on deep founder partnerships and smaller, high-conviction deals to secure superior returns, explicitly rejecting the industry's shift toward massive capital deployment rates. Drawing on his experiences at Founders Fund and recent market corrections, Randall advocates for evolving investment criteria that recognize AI's potential to expand total economic value despite the inevitability of sector-wide consolidation.
Is a $4.5BN Exit Enough in VC? & Harvey Raises $150M & Why Google is a Buy and Amazon is a Sell
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
This episode dissects the shifting venture capital landscape through the lens of Nirvana's IPO, highlighting how aggressive founder fundraising has compressed VC ownership stakes to single digits and challenged the viability of traditional exit multiples. Experts further analyze the divergent fundamentals of the AI sector, contrasting the high-valuation risks facing giants like OpenAI with the operational realities of mature SaaS companies adapting to the "agentic software" revolution. The discussion concludes by questioning the fiduciary responsibility of board members in trillion-dollar capital expenditure scenarios and identifying the critical need for startups to demonstrate genuine labor replacement rather than mere assistance to avoid market obsolescence.
Cohere's Chief AI Officer, Joelle Pineau: Why Scaling Laws Will Continue & Future of Synthetic Data
Joelle Pineau, Harry Stebbings
A leading AI expert outlines a trajectory where robust scaling laws and algorithmic innovations converge to deliver near-term enterprise productivity gains, while identifying the inefficiency of reinforcement learning for general AGI and the risks of model collapse from synthetic data. The speaker emphasizes that successful adoption requires on-premise deployments to navigate legacy system friction and security vulnerabilities, predicting a market shift toward efficient inference costs and a global ecosystem of sovereign models rather than US-China dominance. Furthermore, the discussion advocates for pragmatic governance over fear-based existential risk narratives, calling for balanced AI teams that prioritize data curation and open innovation to support future interfaces and scientific discovery.
OpenAI Restructuring: Who Wins and Who Loses & Mercor Raises $350M at a $10BN Valuation
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
OpenAI has finalized a legal restructuring with Microsoft and state attorneys general to establish a Public Benefit Corporation topped by a $135 billion charitable foundation, unlocking the path for a potential $2 trillion IPO while granting Microsoft a 27% stake despite CEO Sam Altman retaining zero equity. Concurrently, Andreessen Horowitz deployed a $10 billion "Red Army" fund strategy to dominate the venture landscape through massive check sizes and operational media dominance, forcing late-stage investors to pivot from high-multiple speculation to rigorous selection as market valuations for companies like Merkur and Ramp compress toward public stock growth rates. This shifting landscape redefines venture returns, where mega-funds utilize optioning strategies to secure follow-on rights and founders face a stark choice between early M&A exits or the operational risks of navigating a future public market under intensified antitrust scrutiny.
Sequoia Partner, David Cahn on Who Wins in AI, Defence & The New $0–$100M Playbook
This analysis identifies a current AI sector bubble where systemic fragility is rising as compute overproduction shifts risk from hyperscalers to smaller infrastructure providers. While major tech leaders face intense scrutiny regarding monetization and capital constraints, the investment thesis is pivoting toward physical infrastructure bottlenecks and the anticipated consolidation of a defense sector comparable to the post-Transformer era. Ultimately, despite short-term market volatility and extended AGI timelines, the framework suggests focusing on vertically integrated companies with proven product-market fit rather than relying on venture capital to create success in a landscape dominated by power and steel shortages.
Why VC Today is Worse than 2021
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Hosted by Harry Stebbings, the discussion features Benchmark General Partner Everett Randall, Jason Calacanis, and Rory Fenton debating the tension between immediate tech liquidity and long-term venture carries alongside the rising capital intensity of AI infrastructure. The panel analyzes critical market shifts, including Revolut's $3B funding at a $75B valuation and OpenAI's strategic pivot to offload data center risks onto Oracle, while warning against the dangers of conflating temporary enterprise adoption spikes with permanent structural growth. Furthermore, the conversation explores the evolving venture landscape where extreme capital requirements and "vibe coding" disrupt traditional due diligence, forcing a consolidation of funds toward dominant winners like OpenAI and Deel while questioning the viability of mid-tier vertical tools.
Deel CEO, Alex Bouaziz on Raising $300M+ at a $17BN Valuation
Deel has secured over $300 million in a primary equity round co-led by Rebit Capital, Andreessen Horowitz, and Quatu, achieving a post-money valuation exceeding $17 billion while reporting its first $100 million revenue month. The financing follows the company's three-year streak of profitability and provides capital to execute a strategy of 5–10 new acquisitions and aggressive global expansion despite ongoing litigation with Rippling. Founder Sebastian Siemiatkowski targets a $100 billion valuation by 2030, leveraging internal AI infrastructure and a brand marketing shift to serve 100 million workers globally.
Thinking Machines Co-Founder Joins Meta for $3.5BN, Industry Venture's $665M Acquisition
Roger Ehrenberg, Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Goldman Sachs acquired Industry Ventures for up to $965 million to expand its private markets platform, while a panel analyzed how Andrew Tullock's $3.5 billion exit to Meta illustrates a shift toward transactional human capital deals over traditional founder loyalty. Investors are simultaneously navigating high-stakes AI leverage strategies, such as SoftBank's $5 billion margin loan for OpenAI, and debating whether capital-intensive prediction markets like Polymarket represent genuine innovation or regulatory arbitrage. Strategic discourse further emphasized the tension between portfolio concentration and diversification, noting that extended exit timelines in the current VC environment necessitate long-term stewardship and flexible follow-on funding structures.