Latest Interviews
Showing 1–6 of 6 transcripts.
Clear all filters- Milken Institute39 min
International Security: Innovation, Investment, and Partnerships | Global Conference 2026
David Trulio, Christopher Coons, Eric Schmidt, Adam Smith, Chris Coons
Panelists including Eric Schmidt, Senator Chris Coons, and Representative Adam Smith argue that the war in Ukraine has exposed the critical need for the U.S. to replace expensive, traditional military assets with autonomous drones and AI-driven systems to secure a cost-effective deterrence against adversaries. To overcome entrenched bureaucratic inertia and fiscal constraints, the group advocates for bipartisan legislation like the SPEED Act, expanded co-production with international allies, and a workforce shift toward technical innovation over four-year degrees. These strategic adjustments aim to leverage the agility of private sector competitors against legacy defense primes while ensuring American technological leadership in an era of algorithmic warfare.
- All-In Podcast29 min
Eric Schmidt on AI, the Battle with China, and the Future of America
Eric Schmidt, Chamath, Jason, Friedberg
Former Google CEO Eric Schmidt outlines a strategic framework where the immediate AI revolution remains underhyped and distinct from the imminent arrival of autonomous agents, while warning that Western nations must counter China's aggressive pivot toward open-weight models and advanced robotics. Schmidt anticipates a future military doctrine defined by millions of AI-driven drones that create high-deterrence stalemates rather than traditional combat, driven by the obsolescence of fixed military infrastructure. Simultaneously, he emphasizes that US geopolitical resilience depends on leveraging domestic capital markets and releasing smaller open-source models to maintain control over handheld device proliferation amidst global demographic declines.
- RAISE Summit27 min
Eric Schmidt & Andrew Feldman: The Race to SuperIntelligence
Cerebras Systems CEO Andrew Gerrandt asserts that the company's Wafer Scale Engine architecture delivers inference performance nearly two orders of magnitude faster than competitors, driving a market shift from training-dominant to inference-heavy workloads. This hardware acceleration, combined with strategic open-source adoption and co-designed software, has compressed industrialization timelines from decades to five years while exposing critical bottlenecks in global energy infrastructure and data sovereignty. As the industry navigates an uncharted S-curve of explosive growth, geopolitical competition and alignment risks now define the trajectory toward autonomous, on-device AI integration.
- RAISE Summit20 min
Eric Schmidt: AI and the Genesis of a New Epoch
Dr. Eric Schmidt characterizes the current technological landscape as a new epoch driven by the imminent arrival of reasoning-based AI, predicting that Artificial General Intelligence and superintelligence will emerge within four to six years. The discussion highlights a geopolitical divergence where the United States pursues capital-intensive closed-source models while China leverages open-weight systems, creating a strategic risk where global usage may outpace Western control. Schmidt concludes that massive infrastructure investment in compute capacity will outlast concerns of a market bubble, as autonomous systems will drive unprecedented growth in mathematics and software development independent of human data constraints.
- Goldman Sachs26 min
Eric Schmidt: The Artificial Intelligence Revolution
Goldman Sachs accelerates its cloud migration to leverage superior cybersecurity and specialized hardware for AI workloads, while the broader industry shifts toward data-driven deep learning that prioritizes scale over algorithmic provability. This transition enables "savant systems" in fields like healthcare and finance to automate trial-and-error processes, supported by a global talent market increasingly dominated by computer science graduates. Although these technologies promise to democratize expert-level capabilities through on-device and cloud computing, their adoption faces monetization hurdles and ongoing geopolitical competition, particularly from China.
- Milken Institute30 min
MIc'd Up | Part 2: Pedro Domingos in Conversation with Eric Schmidt
Led by industry leaders like Bill Gates and Pedro Domingos, the event examines how converging advances in algorithms, data, and computing are shifting machine learning from rule-based programming to generalized intelligence. The presentation details critical hurdles in generalization and the urgent global talent shortage, while outlining transformative economic shifts where traditional hardware models face commoditization and new crowdsourced learning ecosystems emerge. Looking five to ten years ahead, the discussion predicts a workforce evolution where humans act as strategic captains alongside AI systems, enabling universal programming capabilities that could unlock a $5 trillion new world economy.