Latest Interviews
Showing 1–13 of 13 transcripts.
Clear all filters- Y Combinator1 min
Startup School 2026
Jensen Huang, Sam Altman, Alexandr Wang, Jeff Dean
On July 25th and 26th, 2026, Y Combinator will host a two-day Startup School in San Francisco for hand-selected undergraduate and graduate technical builders. The event features confirmed keynote addresses from industry leaders Jensen Huang, Sam Altman, Alexander Wang, and Jeff Dean alongside exclusive access to YC partners and alumni. Given that over 100 attendees from the previous cohort founded YC-backed companies, this limited-capacity gathering serves as a critical accelerator for the next generation of industry-defining enterprises.
- All-In Podcast1h 27m
Does OpenAI Need a Bailout? Mamdani Wins, Socialism Rising, Filibuster Nuclear Option
Mamdani, Brad Gerstner, Altman, Jensen Huang, chamath, Jason, DavidSacks, friedberg, yung_spielburg, TheZachEffect, sama, JDVance, houmanhemmati
OpenAI announced a revised $20 billion revenue run rate and $1.4 trillion in infrastructure commitments, prompting partner stock declines and clarifications that federal bailouts are not being pursued. While market sentiment remains cautious due to spending uncertainty, panelists predict a shift back to risk-on investment strategies by February alongside a federal regulatory push to preempt state-level restrictions. The discussion further highlighted geopolitical AI competition, a growing youth unemployment debate attributed to structural economic issues rather than AI automation, and the upcoming expansion of Foundry University to new international markets.
- All-In Podcast25 min
Arm CEO Rene Haas on AI: Nvidia Lessons, Intel’s Decline and the US-China Chip War
Rene Haas, Jensen Huang, David, Jason
Following a landmark September IPO that vaulted its valuation to $150 billion, Arm is leveraging its foundational IP to transition from a smartphone architecture provider into a strategic partner for Nvidia and a supplier for the emerging "Physical AI" robotics market. Chief Executive Officer Rene Haas is aggressively reshaping the company's global culture and engineering focus to accelerate speed-to-market, while explicitly navigating complex geopolitical frictions and supply chain constraints to maintain a unified global ecosystem. With its architecture underpinning critical advances in both data center training chips and energy-efficient endpoint inference, Arm is positioning itself to dominate a diverging semiconductor landscape where specialized hardware will define future AI capabilities.
Raising $2 Billion to Become the SpaceX of Quantum | PsiQuantum's Pete Shadbolt
Pete Shadbolt, Jensen Huang, Molly O'Shea
PsyQuantum has secured nearly $2 billion in funding led by BlackRock, Nvidia, and Jensen Huang, distinguishing itself as the world's largest privately funded quantum computing company with plans to deploy a one-million-qubit system. The firm is constructing massive industrial campuses in Chicago and Brisbane to manufacture ultra-pure photonics at GlobalFoundries, aiming to bypass current hardware limitations and capture value in materials science before achieving cryptographic relevance. By targeting a direct path to commercial utility in drug discovery and energy rather than incremental scaling, the company positions its technology as an essential scientific instrument capable of generating significant revenue by 2027.
- a16z28 min
This Week in AI: GPT-5 Ships, 4o Pulled Back, Grok Imagine Goes Social
Olivia, Justine Moore, Jensen Huang, Anish
xAI integrated its Grok Imagine tool directly into the X platform to enable rapid, uncensored image and video creation, while OpenAI deprecated GPT-4o in favor of GPT-5 despite facing user backlash over its sterile tone and subsequent regulatory scrutiny in Illinois. Concurrently, Google introduced Genie 3 for generating interactive 3D worlds and 11 Labs launched a commercially licensed music model to solve copyright barriers, signaling a shift toward deeper native AI integration in social and creative ecosystems. These developments highlight a growing market divergence where rapid "vibe coding" prototypes for consumers struggle with security risks, prompting a strategic split between simplified user tools and complex enterprise environments.
- All-In Podcast1h 5m
Winning the AI Race Part 3: Jensen Huang, Lisa Su, James Litinsky, Chase Lochmiller
Jensen Huang, Lisa Su, James Litinsky, Chase Lochmiller
Major U.S. corporations and government agencies are launching transformative public-private partnerships to secure critical supply chains for rare earth magnets, semiconductors, and AI infrastructure against global competition. These initiatives include a $400 million Department of Defense deal with MP Materials that guarantees price floors, TSMC and AMD achieving domestic silicon yields in Arizona, and massive energy projects by Crusoe and NVIDIA to build gigawatt-scale AI factories. While these ventures address severe domestic workforce shortages and high manufacturing costs, they collectively aim to establish a sovereign industrial ecosystem capable of supporting trillion-dollar markets in physical AI and advanced computing.
- Milken Institute30 min
A Conversation with Nvidia CEO Jensen Huang | Global Conference 2025
NVIDIA CEO Jensen Huang frames AI as a $100 trillion industrial revolution that creates "AI factories" to automate labor and reintegrate millions of workers into the global economy. Operating as an end-to-end infrastructure provider, the company builds massive, gigawatt-scale systems while arguing that unrestricted global chip trade is essential for establishing dominant U.S. standards. Through a culture of perpetual resilience and a focus on "Physical AI," NVIDIA aims to close the technology divide and drive GDP growth across healthcare, manufacturing, and robotics sectors.
- a16z1h 1m
Jensen Huang & Arthur Mensch: Why Every Nation Needs Its Own AI Strategy
AI leaders Jensen Huang and Arthur Chou define sovereign AI as a critical cultural and economic infrastructure requiring nation-states to develop specialized, vertically integrated systems that embed local language, laws, and values. Their strategic framework advocates for a hybrid approach combining open-source horizontal models with sovereign vertical platforms to prevent digital colonialization while building "digital labor" forces that enhance productivity without displacing human workers. By prioritizing developer-first ecosystems and agile alignment over rigid control, this model aims to secure national economic equilibrium and accelerate innovation across sectors like healthcare, manufacturing, and defense.
- Goldman Sachs30 min
Nvidia Founder and CEO Jensen Huang on the AI revolution
NVIDIA founder Jensen Huang details the company's strategic pivot from gaming GPUs to a dominant full-stack accelerated computing platform driven by the "magic kernels" of generative AI. This approach leverages architectural compatibility and the Blackwell architecture to deliver up to 500x speedups, enabling super-clusters that deploy in 19 days while generating a 5:1 cloud rental revenue multiplier. With demand so intense that global capacity is already sold out, the organization relies on a concentrated Asian supply chain and AI-augmented engineering to maintain its competitive moat and scale innovation annually.
- Sequoia Capital49 min
Jim Fan on Nvidia’s Embodied AI Lab and Jensen Huang’s Prediction that All Robots will be Autonomous
Jim Fan, Jensen Huang, Fei-Fei Li, Stephanie Zhan, Sonya Huang
NVIDIA is constructing a unified computing platform centered on the Jensen Thor chip family and Project Groot, aiming to create a "GPT-3 moment" for humanoid robotics by developing foundation models that generalize abstract motor skills across diverse environments. Led by Jim Phan's GEAR team, this strategy leverages a three-bucket data approach combining internet-scale knowledge, accelerated simulation, and real-world robot footage to bridge the sim-to-real gap and replace specialist models with a single generalist agent. The initiative projects that within a decade, these scalable systems will enable affordable, reliable humanoid robots capable of performing daily tasks like elderly care by exploiting the fact that 99% of the built environment is designed for the human form factor.
- Y Combinator38 min
10 People + AI = Billion Dollar Company?
Gary, Jared, Harj, Diana, Jensen Huang, Francesc Campoy Flores, Mark Mandelmann, Michael Witwer, Mark Mandelbach, Mark Mandalmann Bennett, Mark Mandellmann Goldberg, Patrick Hollison, Brian Chesky, Mark Pincus, Rick, Lena Kahn, Harjit
A panel challenged Jensen Huang's prediction that natural language interfaces will render computer science education obsolete, arguing instead that AI currently struggles with the complex, real-world engineering frictions that require human intuition and design. While acknowledging that AI benchmarks like SweeBench demonstrate significant progress in automating routine tasks, the discussion emphasized that programming remains a fundamental cognitive process for discovering ideas and solving ambiguous business problems. Consequently, the panel projects that efficiency gains will trigger the Jevons Paradox, fostering thousands of new billion-dollar ventures rather than consolidating power, provided founders maintain the engineering literacy needed to effectively direct AI tools.
Morgan Housel: Understanding Elon Musk, Jensen Huang and Other Outliers in Tech
Morgan Housel, Elon Musk, Jensen Huang, Molly O'Shea
Financial writer Morgan Housel discusses how 90% of outlier success in fields like venture capital and publishing stems from uncontrollable luck rather than replicable strategies, challenging the validity of morning routines and predictive forecasting. He contrasts this by analyzing the post-2020 capital cycle, noting that the transition from zero interest rates to a 5.5% discount environment has forced a return to valuing current cash flows over speculative stories to flush out unsustainable "tourist investors." Drawing on themes from *The Psychology of Money* and *The Same as Ever*, Housel argues that while specific market conditions and technologies evolve, human behavioral constants regarding greed and fear remain the only reliable guide for navigating financial uncertainty.
- Sequoia Capital39 min
Nvidia ft. Jensen Huang - An overnight success story 30 years in the making
Jensen Huang, Mark Stevens, Andrew Ng, Rolof Bozan, Chris Malachowski, Alfred Lin
Founded in 1993 by Jensen Huang and colleagues as a bet on the zero-value 3D graphics market, Nvidia survived a near-bankruptcy crisis in 1995 by abandoning a lucrative Sega contract to pursue the industry-standard inverse texture mapping architecture. This strategic pivot, combined with a disciplined "first-shot" engineering methodology that delivered the successful RIVA 128 chip, allowed the company to introduce the first programmable GPU and later dominate the emerging artificial intelligence sector through its CUDA software ecosystem. Today, Nvidia's trajectory follows "Huang's Law," leveraging its hardware and software infrastructure to drive a compounding exponential future across AI, digital twins, and scientific simulation.