Latest Interviews
Showing 46–60 of 466 interview transcripts.
Clear all filtersCerebras CEO on the Future of Data Centres, Token Costs & Memory | Should US Companies Sell to China
Andrew Feldman, Harry Stebbings
Cerebrus CEO Andrew Feldman highlights a $25 billion backlog in AI data center construction and persistent High Bandwidth Memory shortages that have driven hardware costs up fivefold. Following Cerebrus's historic $5.5 billion IPO and a $20+ billion partnership with OpenAI, the firm distinguishes itself by bypassing memory constraints through SRAM architecture and securing a six-point-seven times speed advantage over competing GPU clouds. Feldman further argues that geopolitical tensions necessitate stricter U.S. control over semiconductor exports to China while advocating for a twenty-year regulatory exemption to accelerate domestic fab construction and resolve the industry's looming electricity supply limits.
Why Anthropic Are Causing a Comp Crisis & Why You’d Never Hire From Salesforce or ServiceNow
Chad Peets, Chris Degnan, Harry Stebbings
Snowflake's former CRO Chris Dagnon and CEO Chan Peets have formed a strategic partnership to address the critical challenge of building world-class sales teams, leveraging their contrasting "yin and yang" management styles to reshape hiring standards and quota-setting practices. The duo critiques the limitations of hiring from monopoly-driven environments like Salesforce and ServiceNow, advocating instead for candidates with proven grit at Tier 3 brands and warning founders against the inflated ARR signals and unsustainable compensation models currently prevalent in the AI sector. Their collaboration aims to help startups navigate a shifting landscape where traditional SaaS licensing is transitioning to consumption models, while simultaneously demanding rigorous accountability, global expansion, and a culture that prioritizes high-performance retention over socialist compensation structures.
Anthropic Raises $30BN at $900BN Price | SpaceX Files S1: How Does it Trade | Cerebras Smashes Day 1
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Anthropic secured $30 billion at a $900 billion valuation, with founder Dario Amodei prioritizing rapid funding to build independent gigawatt-scale compute infrastructure rather than relying on hyperscalers. This capital injection contrasts with OpenAI's complex contingent structures and precedes a projected November IPO, while Cerebras' successful debut validates strong market demand for AI hardware despite growing public skepticism over layoffs and job displacement. The event highlights a strategic shift where enterprise AI adoption is becoming cost-efficient enough to challenge trillion-dollar revenue projections, forcing traditional SaaS models to compete against autonomous agents and massive infrastructure expansion.
The Five Year Desert to Product Market Fit & a $5.3BN Valuation with Shiv Rao, Founder @ Abridge
Valued at $5.3 billion, Abridged transitioned from a niche consumer app to a dominant vertical AI enterprise by pivoting to an intelligence layer that automates clinical documentation within existing EMR systems. Led by CEO Shiv Rao, the company recently secured a $300M Series A1 round while leveraging a hybrid model of proprietary fine-tuned and frontier models to achieve the ultra-low latency required for real-time healthcare workflows. By capitalizing on "founder-market fit" and overcoming early skepticism, Abridged has established a unique competitive moat against incumbents by transforming note generation into revenue-generating billing, positioning itself to drive a fundamental shift from fee-for-service care to AI-aligned prevention.
Anthropic Buys Compute From Elon & Commits $200BN to Google | Cerebras IPO | Ramp Raises at $40BN
Elon, Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Anthropic enforced a board-approval mandate on all secondary share transfers to secure cap table integrity ahead of an IPO, a move that triggered market volatility and reshaped liquidity expectations for its investors. Concurrently, the company solidified its strategic position through a $200 billion Google partnership and a compute capacity deal with SpaceX, while the broader market witnessed high-profile IPOs like Cerebras' record oversubscription alongside significant SaaS valuation resets driven by divergent growth trajectories. These developments underscore a sector-wide shift toward infrastructure consolidation and rigorous performance metrics, where success now hinges on tangible AI integration and the ability to navigate complex legal and competitive landscapes.
Inside Legora: Jude Law Generated $50M Pipeline | Are They Undervalued at $5.5BN? | Patrick Forquer
Jude Law, Patrick Forquer, Harry Stebbings
Legora has rapidly scaled from a 40-person startup to a $100M+ ARR enterprise leader in the legal tech sector, driven by a high-intensity sales methodology that achieves a 78% pilot-to-close conversion rate and 280% sales attainment. Under CEO Max's visible leadership, the company differentiates itself from competitors like Harvey AI through aggressive executive-to-executive deal negotiation, Forward Deployed Legal Engineers who manage client adoption, and strict pricing integrity that fosters deeper customer commitment. Operating within a category-creation phase of the $100 billion market, Legora navigates complex global data sovereignty requirements while utilizing AI-driven workflows to transition from traditional SaaS interfaces to autonomous agentic systems.
Shopify CEO on How AI is a Scapegoat for Mass Layoffs & Trump Derangement Syndrome in Canada
Shopify founder Tobias Lutger outlines a leadership philosophy centered on long-term vision and "heat source" management, citing his strategic decision to launch the company's 2015 IPO at a premium valuation to align with investors rather than short-term bankers. He details the firm's current pivot toward a 100x productivity increase by deploying the "River" AI system to handle over half of code generation, effectively shifting senior engineers from coding to steering autonomous agents. Lutger further advocates for a deregulated economic model where private sector innovation, rather than government intervention or "climate cult" rhetoric, drives wealth creation and infrastructure development.
Inside Clay's Sales Playbook | Becca Lindquist
Clay, Becca Lindquist, Harry Stebbings
Clay Head of Sales Becca Lindquist outlines a high-growth strategy that prioritizes hiring adaptable, data-driven "high-slope" candidates while enforcing a strict compensation model targeting a 7.5x quota-to-OTE ratio. Her approach combines a zero-tolerance policy for stagnation and ego with aggressive AI integration to scale SDR productivity and build a collaborative, winning culture. These methods have enabled the company to achieve $100 million in annual recurring revenue by focusing on deep domain expertise, rigorous forecasting, and performance-based incentives over rigid playbooks.
Anthropic Raises $45B but Falls Short on Compute & Thoma Bravo Hand Back Medallia Keys to Creditors
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
The event analyzes a pivotal shift in the AI landscape where market competition is evolving from human-led selection to autonomous AI-agent vendor choices, creating a three-way oligopoly among OpenAI, Anthropic, and Google. Strategic dynamics are further complicated by regulatory friction, such as China blocking Meta's acquisition of Manus, and severe private equity distress driven by the obsolescence of legacy enterprise software. Investors are responding by consolidating venture capital portfolios around massive, infrastructure-focused bets like NVIDIA while liquidating human-centric tools like Figma and Duolingo that face existential risk from agent-driven workflows.
AppLovin CEO: Why Founders Shouldn't Angel Invest & Why the Best Don't Need Mentorship
Adam Foroughi, Harry Stebbings
In 2024, AppLovin CEO Adam Faroge received $83 million in compensation contingent on stock performance while executing a radical strategic pivot that slashed the workforce by 50% and eliminated C-level roles to prioritize AI-driven efficiency. This restructuring transformed the company into a lean operation with a 400-person engineering core generating $10 million in EBITDA per employee, enabling triple-digit revenue growth and an 84% EBITDA margin through aggressive share buybacks and a shift to performance-based advertising. Faroge's approach, which integrates AI into 80–90% of code production and merges product management with engineering, aims to secure a potential $1 trillion valuation driven by Connected TV expansion rather than traditional social networking models.
Replit CEO: Why the SaaS Apocalypse is Justified & Why Coding Models are Plateauing | Amjad Masad
In March 2025, Replit CEO Amjad Massad declared a strategic pivot from traditional coding instruction to agentic creation, leveraging Opus 4.6 to embed autonomy directly into foundation models while maintaining a multi-provider architecture that balances Anthropic's session length with Google Gemini's cost efficiency. The company now targets enterprise operations to displace vertical SaaS through maintainable, self-correcting AI agents, prioritizing market dominance over immediate margin optimization despite significant infrastructure costs. This approach acknowledges the obsolescence of legacy IDEs while navigating regulatory hurdles, such as App Store delays, to capture value in an expanding total addressable market for automated software generation.
Are SaaS Companies Cooked: Which Thrive & Which Die | Aaron Levie
Aaron Levy argues that the current AI shift represents a commercial race requiring fundamental business process redesign rather than simple tool layering, predicting that human capacity will become the primary constraint in regulated sectors like law and healthcare. As enterprise technology spending is projected to rise from 10-12% to 20% of revenue, this transformation will generate 500,000 to 1 million new "Agent Operator" roles while driving a 100x to 1,000x increase in API calls to handle the headless consumption of unstructured data. Ultimately, success will depend on professional services firms managing complex data curation and workflow integration over a 20-year diffusion cycle, as enterprises adopt multi-vendor strategies to avoid lock-in and leverage agentic security for liability management.
Jake Paul: Traditional VC is Toast & Attention is More Valuable than Cash
Jake Paul, Geoffrey Woo, Harry Stebbings
Jake Paul and Jeffrey Wu launched Antifund, a venture capital firm leveraging their massive influencer distribution networks to target late-stage acquisitions and achieve a growth trajectory from $30 million to $20 billion in assets. Their investment thesis prioritizes attention over capital, citing specific successes such as a 300x return on Ramp and a 10x gain on Aerodrome within eighteen months. Beyond finance, Paul integrates his boxing career and political views into a broader strategy where he aims to secure world titles, support Donald Trump, and eventually align himself with the hundred individuals who will fundamentally alter human history.
The Early Days of Anthropic & How 21 of 22 VCs Rejected It | The Four Bottlenecks in AI | Anj Midha
Anj Midha, Anjney Midha, Harry Stebbings
Anj Midha outlines a strategic framework for advancing frontier AI by identifying compute supply, capital availability, and cultural alignment as critical bottlenecks requiring infrastructure standardization akin to the 1885 electricity grid. He proposes a coordinated "Iron Dome" for Western model inference and advocates for a consolidated market of three to four dominant teams to prevent resource fragmentation while fostering sovereign, mission-driven projects like Periodic Labs' physical data loops. This approach necessitates a shift in venture capital toward active operational partnership and the deployment of a 1.3 gigawatt compute grid financed through a hybrid equity-debt structure to sustain long-term innovation.
ElevenLabs: Building an AI Sales Machine & Why We Set a 20x Sales Quota
Eleven Labs' Chief Revenue Officer Carlos Reina describes the company's rapid growth to over $350M ARR as driven by a radical shift toward AI-embedded sales strategies that prioritize distribution over traditional transactional deals. The organization deploys custom AI agents for sales and customer success roles to achieve a 50% productivity boost while compensating these digital workers on par with human employees to maximize revenue generation. This approach, coupled with parallel global market entry and strategic corporate venture capital partnerships, positions the firm to outpace competitors in a foundational model landscape where forecasting relies on high-velocity experimentation rather than historical precision.