Latest Interviews
Showing 301–315 of 4,768 transcripts.
Clear all filters- RAISE Summit18 min
Cheap Tokens, Expensive Mistakes: The Real Economics of AI at Scale | RAISE Summit 2026
Liran Zvibel, Dylan Patel, Karen Kwok
Major AI operators are pivoting from pure pricing power to structural cost efficiency, leveraging advanced KV cache offloading and optimized storage architectures to slash inference expenses. Recent benchmarks reveal that NAND-based memory solutions and strategic hardware combinations, such as high-capacity AMD GPUs, can outperform standard setups by up to 20 times in multi-turn agentic workflows while delivering 7x higher throughput. This shift allows emerging providers and frontier labs to significantly expand gross margins, with companies like Anthropic and OpenAI now projecting substantial operating profits driven by these infrastructure innovations rather than model weights alone.
- RAISE Summit19 min
The Mindset Shift Needed to Thrive Alongside AI | Marco Argenti, Goldman Sachs | RAISE Summit 2026
Goldman Sachs has achieved a 20% net engineering productivity gain by shifting from spec-driven to prototype-driven development, where business professionals utilize AI tools to build functional models that engineers then scale. This transformation is underpinned by strict governance frameworks that treat AI output as junior input requiring rigorous code review, alongside a leadership culture where executives actively model adoption while retaining final strategic decision-making authority. Consequently, junior staff now focus on client engagement and apprenticeship rather than mechanical analysis, as internal copilots handle the bulk of data processing and initial research tasks.
- RAISE Summit18 min
Keeping AI Honest: The AI Wave Seen From the Inside | Olivier Pomel, Datadog | RAISE Summit 2026
Datadog reported fiscal revenue projections reaching $4.3 billion, driven by a 30% year-over-year growth rate fueled by rising AI adoption across its diverse customer base. CEO Olivier Limousin highlighted the company's strategic pivot from passive observability to active autonomy through the acquisition of Adaptive ML, aiming to build proprietary models that are faster and cheaper than frontier alternatives. While current systems resolve 40% of issues independently, leadership maintains a culture of rigorous caution to ensure near-perfect accuracy before pursuing full self-healing capabilities.
- RAISE Summit18 min
Betting on the AI Application Layer | Grant Lee, Gamma | RAISE Summit 2026
Gamma, an AI-driven visual communication platform with over 100 million users and a $2.1 billion valuation, is expanding its international footprint by establishing a London office to support its 80% non-US user base. Led by Grant Lee, the company is pivoting from simple slide generation to enterprise-grade brand alignment while adopting a lean organizational structure that prioritizes cohesive user experiences over proprietary model ownership. Lee further advocates for a multi-model strategy to navigate regulatory shifts and positions the current market as a transition from bolting AI onto workflows to fundamentally reinventing product architecture.
- RAISE Summit28 min
Fireside Chat with Yann LeCun, Executive Chairman of AMI Labs | RAISE Summit 2026
Yann LeCun, Tom Mackenzie, Chet Haase, Francois Beaufort, Romain Guyett
Yann LeCun founded AMI Labs to develop JEPA-based World Models that overcome the physical reasoning limitations of current Large Language Models by predicting abstract states rather than discrete tokens. This strategic departure from Meta, driven by incompatible visions for Artificial General Intelligence and business focus, positions the Paris-based entity to lead global industrial applications like Level 5 autonomy and domestic robotics. To ensure geopolitical neutrality and preserve data sovereignty, LeCun is also spearheading Project Tapestry, a distributed initiative aggregating parameters from diverse international contributors without requiring raw data sharing.
- RAISE Summit22 min
OpenAI x Cerebras: Sachin Katti & Andrew Feldman in Conversation | RAISE Summit 2026
Sachin Katti, Andrew Feldman, Henri Delahaye
In December 2024, OpenAI and Cerebras finalized a historic $20 billion partnership to deploy GPT-5.6 on Cerebras infrastructure, enabling a record-breaking inference speed of 750 tokens per second while expanding data center capacity across Europe to address sovereign AI demands. This collaboration has accelerated OpenAI's internal operations, establishing Codex as the default interface for all employees and driving a monthly release cadence of frontier models through AI-assisted research workflows. Looking forward, the alliance prioritizes enterprise adoption over token volume, anticipating that the rapid integration of AI agents will fundamentally rewire organizational structures and redefine productivity metrics within the next year.
- Goldman Sachs9 min
David Solomon Joins CNBC to Discuss 2Q Earnings, the Deal-Making Environment, and AI
Goldman Sachs reported a 39% year-over-year revenue increase and 78% earnings growth, attributing this performance to a "technology super cycle" where AI infrastructure demands have created a capital formation environment with supply constrained by high demand. Management characterized the current market as being in the early stages of a long-term trend, citing the $1 trillion in capex from six major firms and robust capital raising activity from entities like Alphabet as evidence of sustainable growth rather than a bubble. Despite acknowledging potential economic dislocations, the firm expects the U.S. economy to navigate speed bumps effectively while leveraging strong client demand to drive selective deal origination and $20 billion in quarterly revenue across capital markets, M&A, and wealth management.
- All-In Podcast50 min
Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe Coding
Pat Gelsinger, Jason, Anton Osika
Intel CEO Pat Gelsinger diagnosed the company's strategic decline as a fifteen-year period of non-technical leadership that diverted $100 billion to shareholders rather than manufacturing infrastructure, allowing competitors like NVIDIA and TSMC to seize market dominance. He further warned of acute geopolitical risks to the semiconductor supply chain in Taiwan while projecting that AI growth will be constrained by energy capacity rather than a speculative bubble. Concurrently, Lovable founder Anton Osicka outlined a business model achieving $600 million in revenue by leveraging AI to enable non-technical users to build production-ready software, fundamentally reducing development costs and accelerating enterprise tool creation.
- RAISE Summit19 min
Winning Travel's AI Race | Ariel Cohen, Navan and Molly O'Shea, Sourcery | RAISE Summit 2026
Navan leverages its "Navan Cognition" orchestration platform to deploy hybrid human-AI workflows that handled 60% of complex travel issues with human-comparable satisfaction while driving 50% year-over-year Gross Booking Value growth. This strategy enabled the company to achieve profitability and positive cash flow by combining AI efficiency with a "supervisory model" where human agents oversee automated agents for high-stakes executive travel. Ariel Cohen positions Navan to capture market share from legacy competitors by replacing the traditional SaaS model with performance-based revenue and a blended business-leisure booking experience.
Senra Systems' $65M Series B: Fixing Aerospace & Defense's Biggest Bottleneck
Jordan Black, Ken Venner, Molly O'Shea
Senra Systems successfully closed a $65 million Series B round led by Lower Carbon and Interlagos, bringing its total capital to $100 million while integrating SpaceX veteran Ken Venner into its executive leadership. The company addresses the critical bottleneck in wire harness assembly by deploying a proprietary Manufacturing Operating System and accelerated training program to transform fragmented, manual processes into scalable software-driven production for defense and commercial clients. With an 80,000-square-foot facility already producing 4,000 units weekly and a strategy to replicate this model globally, Senra aims to automate complex manufacturing workflows to support the surging demand in electrification, aerospace, and satellite sectors.
- Goldman Sachs18 min
How Falling Launch Costs and AI Are Driving the Space Economy
Michael Tarulli, Erik Sparks, Alison Nathan
Driven by a 95% cost reduction through rocket reusability, the global space economy has shifted from government dominance to an 80% commercial model currently valued at $625 billion. Key technological transitions to Low Earth Orbit constellations and AI integration are fueling growth toward a projected trillion-dollar market by 2040, though investors still prioritize order backlogs over profitability amidst high launch failure risks. While geopolitical tensions and collision cascade threats challenge sustainability, the sector is rapidly evolving toward autonomous manufacturing, commercial stations, and eventual off-world resource extraction as a universal utility by 2050.
- 80,000 Hours1h 34m
Can $500 Billion Win the AI Race? | Anton Leicht
The discussion outlines a strategic framework for middle powers to secure AI access by building data centers in exchange for market parity with private US labs, a move critical to avoiding a future where non-compliant nations face societal risks without technological benefits. This approach is presented as more viable than the $500 billion sovereign coalition alternative, which faces insurmountable barriers regarding chip access and political coordination among allied nations like the EU and Japan. Policymakers are urged to act swiftly to finalize these compute-for-access deals before the costs of sovereignty escalate and the window for coordinated Western governance closes.
- Bank of America24 min
From sports to pop culture: Prediction markets $1 trillion bet
By early July 2026, prediction market volume surged to $13 billion weekly as incumbents like DraftKings and FanDuel launched vertical exchanges while Kalshi captured 4 million new users during the FIFA World Cup. The sector now approaches parity with traditional U.S. sports betting handle, driven by institutional adoption of earnings hedges, retail crypto trading, and a strategic expansion into non-traditional demographics through pop culture markets. Despite these gains, the industry faces significant regulatory uncertainty with active lawsuits in multiple states and a anticipated U.S. Supreme Court ruling on sports event contracts expected by 2027.
- Bank of America30 min
Positive structural case for EM won’t collapse under a few Fed hikes
David Hauner, David Beker, TJ Thornton
BFA Global Research maintains a structurally bullish stance on emerging markets despite tactical caution driven by anticipated Federal Reserve rate hikes and geopolitical tensions in Iran. The firm forecasts that while US economic exceptionalism and strong dollar dynamics pose near-term risks, a strategic buying opportunity is expected in 2027 as global inflation declines and the dollar weakens. Specific market analyses highlight significant volatility in Brazil ahead of its October election and an asymmetric investment thesis for China, where undervalued currencies and strong exports contrast with weak domestic demand.
- Sequoia Capital49 min
Anthropic's Katelyn Lesse & Angela Jiang: Building an Ecosystem, not a Walled Garden
Katelyn Lesse, Angela Jiang, Sonya Huang, Lauren Reeder, Caitlin
Anthropic is pivoting its platform strategy from a knowledge-centric foundation to an execution and coordination layer, aiming to democratize custom software development through a unified architecture for both internal and external users. This roadmap introduces specialized primitives for "token-heavy" verticals like coding and finance while enabling flexible model routing and ecosystem interoperability through standards like the Model Context Protocol. By prioritizing cost optimization and advanced workflow orchestration, the company seeks to make the last mile of AI-driven development economically viable for builders ranging from individual developers to large enterprises.