Latest Interviews
Showing 91–105 of 466 interview transcripts.
Clear all filtersa16z'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.
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.
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.
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.
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.
Atlassian CEO, Mike Cannon-Brookes on Why Everything is Overvalued & Are We in an AI Bubble
Mike Cannon-Brookes, Harry Stebbings, Scott Farquhar
Atlassian Co-CEO Mike Cannon-Brookes discusses a strategic bet on multi-model AI adoption and "vibe coding" to empower non-technical employees while expanding the engineering workforce over the next five years. He outlines the longevity of the company's co-CEO dynamic with Scott Farquhar, which relies on a strict 60–80% operational overlap and a unique dispute resolution clause to navigate market volatility and uncertain AI monetization. Cannon-Brookes concludes by framing the organization's future around "creating rather than defending" to combat corporate entropy, urging a shift toward per-value pricing models as the industry faces a Cambrian explosion of new, yet unproven, AI business structures.