Harry Stebbings
Showing 121–135 of 653 transcripts.
Matt Fitzpatrick: Who Wins the Data Labelling Race & Why Al Needs Forward-Deployed Engineers
Matt Fitzpatrick, Harry Stebbings
Matt's leadership at Invisible outlines a strategic pivot toward a forward-deployed engineering model that delivers custom AI workflows while charging only upon successful user acceptance testing. This approach directly addresses the industry's 95% failure rate in Gen-AI deployments by replacing brittle internal builds with human-in-the-loop verification and dynamic expert sourcing. Supported by a $130 million capital raise and a global co-located workforce, the company prioritizes long-term iteration and task-specific trust over immediate profitability to capture ROI in healthcare, education, and physical service sectors.
Predictions for 2026: Top Buy & Biggest Short | Why Salesforce Could Win & NVIDIA’s Challenges
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
The 2026 IPO cycle is projected to backload major public debuts for companies like SpaceX, Canva, Databricks, and Anthropic, while OpenAI delays its listing until 2027 amid high burn rates and trillion-dollar valuation challenges. Key industry figures including Dario Amodei and Gwyn Shotwell were honored for their leadership, while venture capital winners such as Index Ventures and Hummingbird Capital demonstrated exceptional returns through strategic exits. Despite predictions of robust growth for AI-centric stocks like Salesforce and Notion, the market faces significant political and societal risks as potential AI-driven unemployment could trigger a severe backlash against the technology sector.
Will Cursor Kill Figma? Lightspeed Raises $9B & OpenAI’s $1B from Disney & #1 App in App Store
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Lightspeed Ventures' $9 billion raise and the broader "super cycle" of private capital are intensifying competition for late-stage growth assets, fueled by delayed IPOs and massive valuations for firms like SpaceX and OpenAI. While enterprise AI spending surges toward software development and agentic workflows, public market volatility is exposing risks in capital-intensive infrastructure players and forcing incumbents to pivot or face valuation compression. Ultimately, the landscape is shifting from pure growth bets to a focus on sustainable cash flow, with investors favoring pure-play profitability and strategic "option value" over traditional financial metrics.
a16z's David George on the Most Controversial Bet at a16z & Do Margins and Revenue Matter in AI?
Andreessen Horowitz highlights its historic $1 billion fund, featuring 7x returns from Databricks and 5x from Coinbase, to demonstrate that large capital pools can still generate exceptional early-stage returns. The firm argues that the private market's tenfold expansion over the last decade signals a structural shift toward higher corporate longevity and better capital efficiency compared to deteriorating public market metrics. In the AI sector, a16z prioritizes founders with deep domain expertise and aggressive execution, betting that productivity gains and task-based pricing models will drive a decade-long transition of spend from human labor to technology.
SpaceX Valued at $800BN & Harvey Raises $160M at an $8BN Price & Netflix Acquires Warner Brothers
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
The episode analyzes a projected $800 billion secondary valuation for SpaceX and a potential $82.7 billion Netflix acquisition of Warner Bros. Discovery, contrasting private market "bumper year" expectations for 2026 with public market realities and regulatory hurdles. Discussion extends to AI sector dynamics, featuring Tiger Global's disciplined strategy shift, Naveen Tewari's $500 million Harvey AI raise, and OpenAI's portfolio consolidation amid concerns over model commoditization. Finally, the hosts examine Airwallex's geopolitical data risks, board governance tensions regarding fiduciary duties, and the emerging ethical challenges posed by anonymous prediction market speculation on confidential corporate data.
Kalshi CEO Tarek Mansour on Raising $1BN, CNN and CNBC Deals & the Polymarket Feud
Tarek Mansour, Harry Stebbings, Alfred Lin
Kalshi, founded by Dave Tarek, has secured a $1 billion valuation at $11 billion following three years of regulatory litigation that resulted in a federal victory for the 2024 election markets. The company now directs this capital toward scaling its global brand, securing exclusive media partnerships with CNN and CNBC, and competing against rivals like Polymarket while maintaining profitability with over 100 employees. Tarek emphasizes that this regulated approach distinguishes the platform from offshore exchanges and positions prediction markets as a sustainable vehicle for democratizing financial access through cultural and political events.
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.