Harry Stebbings
Showing 136–150 of 653 transcripts.
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.
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.
OpenAI's Multi-Billion Deal with AMD & Polymarket, Vercel and Supabase Raise Mega Rounds
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
OpenAI secured a strategic partnership with AMD to purchase six gigawatts of Instinct chips in exchange for equity warrants, a deal that triggered a 30% surge in AMD's stock price while reinforcing OpenAI's leverage over chip manufacturers. Concurrently, OpenAI Developer Day introduced native app integrations and an "AgentKit" tool to accelerate AI agent development, though critics questioned the immediate utility of these features compared to existing ecosystems. In the broader venture landscape, massive valuations for infrastructure firms like Vercel and Supabase coexist with tightening liquidity for sub-scale assets, as university endowments divest stakes and new SPAC structures aim to curb speculative pricing.
Cerebras CEO, Andrew Feldman on Why Raise $1BN and Delay the IPO & Why NVIDIA’s Worried About Growth
Andrew Feldman, Harry Stebbings
Cerebras Systems secured its largest-ever funding round led by Fidelity to accelerate wafer-scale chip manufacturing and expand US data center capacity ahead of a future IPO. The company leverages its unique hardware to address critical memory bandwidth bottlenecks while navigating an unpredictable global market characterized by exponential demand growth and intense talent competition. Despite significant infrastructure challenges and geopolitical headwinds, the firm reports substantial revenue from the UAE and maintains confidence that its technology will drive future productivity gains by reorganizing economic workflows rather than simply replacing existing tools.
Are Burn Multiples BS in an AI World? & Sam Altman Needs $1TRN of Energy
Sam Altman, Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Venture capital strategy in 2025 has bifurcated into binary funding decisions driven by AI narratives or massive IPO potential, leaving non-AI growth companies struggling to secure capital despite strong fundamentals. As public market multiples face potential reversion, investors are increasingly favoring dominant market leaders while consolidating portfolio companies through M&A to create critical mass for public exits. Consequently, founders must navigate a high-stakes environment where traditional efficiency metrics are scrutinized for data honesty and political neutrality, forcing immediate acceptance of deals over valuation optimization.
Groq Founder, Jonathan Ross: OpenAI & Anthropic Will Build Their Own Chips & Will NVIDIA Hit $10TRN
Jonathan Ross, Harry Stebbings
Jonathan Ross projects that within five years, the AI sector's trajectory will be defined by a critical convergence of energy capacity and compute availability, with NVIDIA potentially reaching a $10 trillion valuation due to a competitive temporal moat. While the market remains concentrated among approximately 36 entities, firms like Grok are leveraging proprietary hardware cycles and massive speed advantages to capture value, contrasting sharply with competitors hindered by supply chain constraints. Ross further argues that this rapid evolution will drive significant deflationary economic shifts and create new labor categories, ultimately positioning energy-sufficient nations with rapid deployment capabilities to dominate the global landscape.
The Impact of H1B Visas on Startups in the US & NVIDIA Invests $100BN Into OpenAI
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
NVIDIA's $100 billion investment in OpenAI has ignited a massive capital feedback loop that concentrates the majority of the AI boom's revenue among six dominant customers, including Microsoft, Google, and Oracle. While venture capital flows remain hyper-concentrated with 75% of 2025 funding directed to just 19 firms, investors are increasingly bypassing traditional due diligence and demanding growth metrics far exceeding historical benchmarks to justify valuations. This aggressive financial engineering is underpinned by robust cash flows that allow major players to sustain solvency, even as market dynamics shift toward testing whether AI scaling laws can endure a three-order-of-magnitude increase in compute without triggering a bubble collapse.
General Catalyst CEO, Hemant Taneja: Lessons Scaling GC to $40BN in AUM
Hemant Taneja, Harry Stebbings
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Opendoor CEO, Kaz Nejatian: OpenAI and Oracle, How Can Either Afford to Do This
Kaz Nejatian, Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Kaz Nejatian transitioned from Shopify to lead Opendoor as CEO, implementing a mission-driven compensation structure and aggressive operational reviews to pivot the real estate tech firm toward long-term value creation. Simultaneously, Oracle secured a $300 billion future revenue commitment from OpenAI, triggering a massive market valuation surge driven by strategic bets on AI infrastructure despite near-term profitability risks. In parallel, the broader technology landscape is shifting as Microsoft reduces its exclusive reliance on OpenAI, while AI-native startups like Gamma and Higgsfield accelerate revenue growth by drastically lowering barriers to content creation for non-technical users.
Mercor CEO & Co-Founder, Brendan Foody: How They Grew from $1M to $500M in 17 Months
Brendan Foody, Harry Stebbings
Led by 22-year-old founder Brandon Foody, Macaw has achieved a $500 million revenue run rate by transitioning from low-cost crowdsourcing to a high-value expert network charging $95 per hour for premium AI training data. Following its acquisition by Scale AI, the company quadrupled revenue while maintaining positive margins, now operating with supply constraints as top-tier labs consolidate their spend to leverage Macaw's proprietary access to elite talent for complex reinforcement learning tasks. Despite a current valuation hovering between $200 and $250 million, the private entity plans to pursue further financing to signal market dominance, aiming for a $10 billion future as it refines the industry's shift toward high-quality human-in-the-loop data curation.