Latest Interviews
Showing 136–150 of 2,630 transcripts.
Clear all filters- RAISE Summit32 min
ALL-IN Podcast Live: Mati Staniszewski, Co-Founder & CEO of ElevenLabs | RAISE Summit 2026
Mati Staniszewski, Jason Calacanis
ElevenLabs has scaled to $600 million in annual recurring revenue with 600 employees while maintaining a 100% retention rate for its original research team. The company differentiates itself through an AI-optimized organizational structure, proprietary IP safeguards that have returned over $22 million to creators, and strategic partnerships with figures like Matthew McConaughey. Looking ahead, CEO Mati Golan aims to achieve a voice Turing test by year-end, leveraging assistive technology for medical patients and a model-agnostic platform to remain independent of larger AI developers.
- RAISE Summit24 min
ALL-IN Podcast Live: Pat Gelsinger, Partner at Playground Global | RAISE Summit 2026
Pat Gelsinger, Jason Calacanis
Intel's strategic decline is attributed to a shift from technical to financial leadership that prioritized shareholder returns over R&D, resulting in missed fabrication opportunities and the loss of key markets like Apple and NVIDIA. In response, CEO Pat Gelsinger is driving a foundry pivot and onshoring initiatives under the CHIPS Act to rebuild manufacturing capacity while navigating geopolitical risks centered on Taiwan's vulnerability. Concurrently, the broader semiconductor landscape is expected to mature through a multi-decade AI expansion constrained by energy limits, alongside anticipated quantum computing breakthroughs by 2030 that will redefine computational capabilities.
- RAISE Summit22 min
RAISE Summit Opening: A Fireside with Mark Cuban & Anton Osika, Lovable | RAISE Summit 2026
Lovable enables founders, small businesses, and enterprise teams to generate over one million projects weekly by translating plain English descriptions into fully hosted, secure, and monetizable software solutions. The platform has driven significant cost savings, such as a million dollars annually for the healthcare staffing firm Nursa, while empowering non-technical users to act as "AI co-founders" by automating setup tasks like global payments and data governance. Looking ahead, Lovable aims to evolve from a code generation tool into a strategic business advisor that leverages agentic workflows to optimize customer acquisition and internal operations without requiring traditional engineering resources.
- RAISE Summit41 min
ALL-IN Podcast Live: Mark Cuban | RAISE Summit 2026
Mark Cuban attributes recent NBA parity shifts to new salary cap rules that prevent three-peats while analyzing Jalen Brunson's franchise-driven move to the New York Knicks. He warns of an artificial AI valuation bubble fueled by private capital and warns that without breakthroughs in energy efficiency, massive data center investments risk becoming stranded assets. Concurrently, Cuban argues that AI will augment rather than replace white-collar workers, citing immediate benefits for entrepreneurs in prototyping and potential transformations in precision healthcare through integrated wearable data.
- RAISE Summit22 min
AI Is the New Operating Environment. Data Is the New Control Plane. | RAISE Summit 2026
The speaker identifies that the AI arms race hinges on compressing time across token generation, environment deployment, and data orchestration. By replacing legacy 2D client-server protocols with a Linux kernel-native 3D parallel file system, the technology virtualizes existing storage assets to slash deployment timelines by a factor of 70 and eliminates bottlenecks during GPU training. This architectural shift not only mitigates current SSD shortages through efficient hybrid HDD-NVMe and tape strategies but also directly reduces capital and operational expenditures in high-performance computing environments.
- RAISE Summit21 min
The ROI on Intelligence: Turning AI Investment into Enterprise Transformation | RAISE Summit 2026
Jordan Topoleski, Pallavi Mahajan, Peter Elstrom
Jordan Topolesky of Cursor and representatives from Nokia describe a critical industry shift from tracking AI input costs to optimizing for business outcomes, evidenced by a case where AI spending was cut 26% without reducing production code rates. This transition has driven organizational restructuring, including role compression and smaller, more efficient teams that leverage dynamic model selection to handle complex parallel workflows. Complementing these operational changes, INSEAD's Philippe Agnon highlights that while AI efficiency modestly boosts GDP, its primary economic value lies in expanding execution capacity to foster higher-quality strategic ideation and new product innovation.
- The Economist44 min
The final filmed interview with Sir Alex Younger, the late MI6 chief | The Economist
Sir Alex Younger, Shashank Joshi
Sir Alex Younger argues that the United States has lost the strategic initiative in its conflict with Iran, as Tehran's asymmetric warfare and selective blockade of the Strait of Hormuz have forced the US to absorb unsustainable costs despite an effective air campaign. The interview highlights a fragile Iranian regime dominated by the IRGC, which retains leverage through deep intelligence penetration and nuclear stockpiles while benefiting from the war to suppress internal dissent and prolong its survival. Younger concludes that the conflict's global spillover disadvantages Western allies by diverting resources from the Pacific to the Middle East, exposing critical intelligence politicization risks under the Trump administration, and compelling Europe to develop independent hard power capabilities to counteract great power competition.
- RAISE Summit45 min
Startup Competition Final: RAISE the STAKES | RAISE Summit 2026
Gleb Budman, Cyrille Saint Olive, Luke Pappas, Shahab Shafieehanjani, Cyril, Rodrigo, Kinga Matua, Charles
Raise Summit's Raise the Stakes 2026 competition attracted 750 founders from 79 nations who collectively hold $800 million in valuation, with the event judged by executives from Backblaze, Google for Startups, and NEA. The jury selected CurryGen as the top winner for its proprietary biological data workflows, while Neural Trust and Strawberry Browser secured second and third places respectively for their enterprise security and agentic browser platforms. This cohort of finalists represents a high-growth segment of the AI ecosystem that has already raised $56 million and is poised to address urgent market needs in security, drug discovery, and workflow automation.
Hyperscalers Are Out of Capacity? | MongoDB CEO
Driven by hyperscaler capacity shortages and stringent data sovereignty requirements, major enterprises are migrating workloads back on-premises while adopting heterogeneous AI architectures to manage complex agentic environments. CEO CJ Desai leads MongoDB's strategic response by prioritizing real-time, operational database solutions for AI-native startups and Fortune 500 clients, shifting from traditional model selection to a focus on deterministic outcomes and autonomous administration. This approach positions the company to capitalize on the "AI super cycle" by ensuring the high-quality data layer required to transition experimental prototypes into scalable, production-grade applications in sectors like banking and aviation.
- RAISE Summit37 min
Powering AI Infrastructure: Solving the 21st Century Manhattan Project | RAISE Summit 2026
Shaun O'Meara, Alex Saroyan, Vik Malyala, Ben Richardson, June Paik, Jeremie Eliahou Ontiveros, Jeremy, Sean Amara, Jun
By 2027, major AI infrastructure players like Anthropic and CoreWeave aim to scale capacity to tens of gigawatts while overcoming significant hurdles in power delivery, regulatory fragmentation, and supply chain delays. Industry leaders such as Ben Richardson and Sean Amara advocate for standardized, modular architectures and digital twin simulations to mitigate execution risks and reduce the total cost of ownership for inference-heavy workloads. This strategic shift prioritizes operational reliability and full-stack interoperability to support the transition from centralized training clusters to distributed enterprise inference environments.
- RAISE Summit20 min
AI Compute: Rebuilt for the Agentic Era | Mark Papermaster, AMD | RAISE Summit 2026
Mark Papermaster, Karim Jalbout
Driven by a surge in AI adoption that propelled its market capitalization from $200 billion to nearly $1 trillion, AMD is targeting server CPU market leadership through a holistic system design philosophy that includes the upcoming 72-node "Helios" rack and two-nanometer "Venice" processors. The company has transitioned from component manufacturing to integrated rack-level solutions by acquiring ZT Systems and deploying open-standard AI stacks across major European supercomputers to address data sovereignty and energy efficiency demands. Underpinning this growth is a scrappy corporate culture focused on customer collaboration, which has enabled a strategic shift toward agentic AI workflows and expanded training for its 33,000-person workforce to align with enterprise needs.
- RAISE Summit25 min
AI, Security & Economic Power: A New Playbook for Democracies | Sebastian Kurz | RAISE Summit 2026
Sebastian Kurz, Jacob Helberg, Sebastian Matthes
At the second Pax Silicon Summit in Washington, European nations acceded to the Paxilica initiative while leaders like Jacob and Sebastian debated the viability of sovereign AI against a backdrop of historic U.S. economic growth driven by an AI boom. The discussion highlighted a strategic divergence where the U.S. promotes an ecosystem-based approach to sovereignty and deregulation, contrasting with European concerns over the Digital Markets Act and the high costs of total vertical integration. Ultimately, experts emphasized that while foundational model dominance remains difficult for Europe, securing critical infrastructure and shifting toward competitiveness are essential to prevent total reliance on superpowers or losing the financial capacity for social welfare.
- RAISE Summit20 min
Fireside Chat with Ekin Dogus Cubuk, Co-CEO of Periodic Labs | RAISE Summit 2026
Founded by former Google Brain and DeepMind researchers, a new company is deploying a hybrid infrastructure of large language models, reinforcement learning, and high-throughput robotics to overcome data limitations in physical science. The Bay Area laboratory automates semiconductor and materials research by executing thousands of daily experiments to create a recursive improvement cycle for chip manufacturing and solid-state chemistry. With an immediate goal of reaching 1,000 experimental trials per day, the venture aims to generate rapid process engineering breakthroughs for the industry while evolving toward profitable intellectual property generation.
- RAISE Summit21 min
The Uncomfortable Math of Frontier AI in Production | Kavitha Mariappan | RAISE Summit 2026
At RAISE, approximately 110 exhibitors, including 18% startups and 30% scale-ups, convened to address the shift from perimeter-based security to resilience against autonomous AI agents that now possess economic agency and emergent capabilities. Recent threat intelligence reveals that 53% of recent attacks are AI-related, with adversaries exploiting embedding space geometry and open-source models to bypass traditional deterministic defenses while 88% of enterprises lack the ability to roll back unauthorized agent actions. Experts recommend a strategic pivot toward assuming breach status by inventorying non-human identities, rotating machine tokens, and prioritizing recovery protocols over prevention to counter the asymmetric advantages held by autonomous threats.
- RAISE Summit21 min
From AI Adoption to AI ROI | Glean & Altimeter Capital | RAISE Summit 2026
Arvind Jain, Apoorv Agrawal, Vikas Khannabiswamy, Shyam Gollakota, Vikram Bajaj
Glean, co-founded by former Google and Rubrik executive Arvind Krishnan, differentiates itself in the enterprise AI market by building a proprietary context graph and retrieval layer rather than developing foundation models. The company is strategically pivoting from personal productivity tools to measurable departmental use cases like customer service and legal review to demonstrate clear return on investment amid rising infrastructure costs. By maintaining neutrality across major model providers and utilizing limited forward-deployed engineering, Glean aims to solve the critical gap between raw AI capabilities and secure, accurate enterprise implementation.