Jensen HuangEvery podcast appearance, updated as new ones drop

Jubilee Life Coach: Daily Meditations Season 1, Episode 84 "The Man Who Never Stopped Being Afraid" 성공해도 두렵다 Christian Worldview for Everyday | jubileecoach.com EPISODE DESCRIPTION One of the most successful men in the world wakes up afraid. Every single day. Jensen Huang — the CEO of Nvidia, the company that helped ignite the artificial intelligence revolution — has said that even now, leading a company worth trillions of dollars, he still carries the quiet dread of a man who knows how fragile everything is. "The phrase '30 days from going out of business' — I've used it for 33 years," he has said. "The feeling doesn't change. The sense of vulnerability, the sense of uncertainty — it doesn't leave you." In this episode, your Jubilee Coach reflects on a recent Korean television interview with Jensen Huang — and what his remarkable story quietly reveals about fear, resilience, character, and the limits of human willpower. Because here is the thing: Jensen Huang is not a man consumed by fear. He is a man formed by it. And the gospel has something to say about that. WHAT WE EXPLORE IN THIS EPISODE We follow Jensen Huang's story through four lenses: 1. The Question That Stopped the Room In the Korean TV interview, the host offered Jensen Huang a simple choice: perfect prediction of the future, or unbreakable resilience. Without hesitation, he chose resilience. His reason was quiet and clear — and it opens a window into how character is actually formed. 2. What Brené Brown Would Notice Researcher Brené Brown has spent decades studying vulnerability and courage. In Daring Greatly (2012), she argues that vulnerability is not weakness — it is our greatest measure of courage. Jensen Huang's story is a living illustration of exactly that. But it also reveals something Brown's research alone cannot fully answer. 3. The Kind of Fear There is an old saying among preachers: Fear God and you will not be afraid of anything else. Fear not God and you will be afraid of everything. Psalm 112 puts it beautifully: "Blessed is the man who fears the LORD... He will have no fear of bad news. His heart is steadfast, trusting in the LORD." Jensen Huang manages fear through will and character. That is admirable. But the gospel offers something better — not managing fear, but displacing it with a greater one. 4. What the Reformed Tradition Has Always Known The Scriptures do not promise a life free of adversity. They promise something far more useful. James 1:2–4 reminds us that the testing of faith produces perseverance — hypomoné in Greek — not passive resignation, but active, grounded endurance. David Powlison of CCEF observed that darkness, loss, and disillusionment are among the very means by which God shapes genuine faith. Jensen Huang does not share our faith. But what he has discovered empirically, the Reformed tradition has confessed theologically for centuries: suffering does not derail the story. It is often where the story really begins. KEY QUOTES "Intelligence is easy. Knowledge is easy. But character is hard. Resilience is hard. That can only be galvanized and shaped through life experience — giving yourself the opportunity to fail and come back." — Jensen Huang, Korean TV Interview (2025) "Blessed is the man who fears the LORD... He will have no fear of bad news; his heart is steadfast, trusting in the LORD." — Psalm 112:1, 7 (NIV) "Consider it pure joy, my brothers and sisters, whenever you face trials of many kinds, because you know that the testing of your faith produces perseverance. Let perseverance finish its work so that you may be mature and complete, not lacking anything." — James 1:2–4 (NIV) JUBILEE COACH'S QUESTIONS May I close with a few questions? Not as assignments. Just as gentle invitations. Sit with the one that stirs something in yo

Today, in the first episode of Only in America, Condoleezza Rice speaks with Nvidia founder and CEO Jensen Huang about his remarkable rise to the commanding heights of global technology; Steven Davis argues that restoring open trade and reforming the international trading system are vital to US security and prosperity; and Michael Auslin examines why the Superman franchise isn’t participating in the nation’s 250th anniversary celebrations this year. Hoover Daily Report | June 10, 2026

NVIDIA is one of the most valuable companies in human history. Its chips run the AI systems transforming everything from entertainment to warfare. But for years, almost nobody believed in co-founder Jensen Huang’s vision. Jensen spent nearly a decade pouring billions into a technology called CUDA, long before AI made it profitable. In this deeply personal conversation, Jensen tells Guy why NVIDIA’s very first chip was a catastrophic failure … and how at one point, the company was 30 days away from going out of business. Jensen also explains why he thinks fears about AI are overblown, and why he believes the next generation will have more opportunity — not less — because of AI. What You’ll Learn: Why NVIDIA nearly collapsed before becoming an AI giant How researchers sparked the AI boom using NVIDIA gaming chips How to lead through uncertainty when a huge bet hasn’t yet paid off How Jensen approaches hard decisions like an engineer We’re “doing ourselves a disservice” by being afraid: Jensen on AI and job loss How Jensen defends his demanding management style Why past failures still haunt him Key Moments From the Interview: 00:07:51 — Jensen Huang’s childhood at an unusual Kentucky boarding school 00:14:50 — Why Jensen left a stable career to help start NVIDIA 00:17:14 — NVIDIA’s first failure: the NV1 disaster 00:19:51 — The desperate trip to Japan that gave the company a lifeline 00:23:11 — “The only idea we had” for prototyping: the emulator Hail Mary 00:30:53 — The book that shaped Jensen’s thinking about innovation 00:35:04 — Why NVIDIA kept investing in CUDA while Wall Street lost faith 00:41:38 — The moment AI researchers discovered the power of NVIDIA’s chips 00:53:17 — Jensen on fear of job loss from AI, and why America risks falling behind 01:01:56 — Knowing what he knows now, would he do it again? Yes — and no This episode was researched and produced by Alex Cheng with music by Ramtin Arablouei. It was edited by Neva Grant. Our engineers were Patrick Murray and Robert Rodriguez. Follow How I Built This: Instagram → @howibuiltthis X → @HowIBuiltThis Facebook → How I Built This Follow Guy Raz: Instagram → @guy.raz Youtube →<a href="https://www.youtube.com/channel/UCNSfrxNEmCruNtjIzxCBHjg" rel="noopener noreferrer"

In this episode of Memos to the President , NVIDIA CEO Jensen Huang discusses the shift from retrieval-based computing to a generative paradigm driven by human intent. Huang argues that the U.S. must lead the "five-layer cake" of AI to trigger a massive re-industrialization that brings high-skilled manufacturing back to the West. He counters fears of job displacement, explaining that AI automates specific tasks while increasing the demand for the human purpose of innovation. The conversation also explores the rise of "Physical AI," predicting that reasoning-capable robotaxis and humanoid robots will become mainstream within the next three years. Key Discussion Points: The "Five-Layer Cake" of AI: Huang outlines the essential structure of the new AI industry: Energy, Chips, Infrastructure, Models, and Adoption . He emphasizes that the United States must lead in every layer to maintain global economic and technological leadership. Re-industrializing America: A call to action for the U.S. to become a manufacturing nation again. Huang discusses NVIDIA's commitment of half a trillion dollars to bring the supply chain back to the West, creating high-skilled manufacturing jobs through chip plants and AI factories. The Future of Labor: Addressing the fear that AI will destroy jobs, Huang argues that while AI automates tasks (like coding or reading scans), it does not replace the purpose of a job (innovation and problem-solving). He shares how AI is actually increasing the demand for software engineers and radiologists by supercharging their productivity. Physical AI and Robotics: The "next wave" of AI is moving from digital chatbots to the physical world. Huang predicts the rise of thinking robotaxis and humanoid robots within the next few years as breakthroughs in reasoning and mechatronics converge. Global Policy & China: Jensen discusses the strategic necessity of maintaining American technology exports. He argues that conceding a market the size of China may be counterproductive and stresses the importance of keeping the "American tech stack" as the global standard. Open Source & Safety: Why open-source technology is critical for national security. Huang explains how open shell environments and sandboxing can protect data privacy while allowing enterprise and government agencies to adopt AI safely. Check out their conversation on the SCSP YouTube channel ! Memos to the President Podcast is a product of the Special Competitive Studies Project .

哈囉大家好，我是大衛曾！歡迎收聽 AI 新知快報第 32 集 今天的主題：NVIDIA 執行長 Jensen Huang 與 Dwarkesh Patel 的火爆對談——美國該不該限制對中國賣 AI 晶片？ 🔥 Jensen Huang 當面飆出重話：「那種類比根本離譜」「那種失敗者心態毫無道理」「那些極端論點很幼稚」 🧠 Dwarkesh 的「邊際算力論」：多賣一點高階晶片，對手在資安攻防跟軍事 AI 上就可能早你一步 🏗️ Jensen 的「生態位論」：你不賣就退場，開發者黏著、技術標準話語權、規模效益全部流失 ⚖️ 兩種「怎麼贏」的路線互撞：防守控制風險 vs 進攻維持生態領先 深度拆解： 為什麼 Jensen 說「中國最強算力進展用的是華為晶片，不是 NVIDIA」 - 美國在算力上領先約 100 倍，為什麼還要為邊際風險讓出生態位？ - 能不能同時做到設紅線、保市場、動態管制三件事？ --- AI 新知快報｜每天 10 分鐘，跟上 AI 時代 喜歡的話記得訂閱 + 五星好評！ #AI #人工智慧 #JensenHuang #NVIDIA #Dwarkesh #晶片戰爭 #出口管制 #中美科技戰 #AI地緣政治 #算力 內容參考來源： Jensen Huang × Dwarkesh Patel — AI Export Controls and US-China AI Strategy https://www.dwarkesh.com/p/jensen-huang -- Hosting provided by SoundOn

Jensen Huang is the co-founder and CEO of NVIDIA, the world’s most valuable company and the engine powering the AI computing revolution. Thank you for listening ❤ Check out our sponsors: https://lexfridman.com/sponsors/ep494-sc See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc. Transcript: https://lexfridman.com/jensen-huang-transcript CONTACT LEX: Feedback – give feedback to Lex: https://lexfridman.com/survey AMA – submit questions, videos or call-in: https://lexfridman.com/ama Hiring – join our team: https://lexfridman.com/hiring Other – other ways to get in touch: https://lexfridman.com/contact EPISODE LINKS: NVIDIA: https://nvidia.com NVIDIA on X: https://x.com/nvidia NVIDIA AI on X: https://x.com/NVIDIAAI NVIDIA on YouTube: https://youtube.com/@nvidia NVIDIA on Instagram: https://www.instagram.com/nvidia/ NVIDIA on LinkedIn: https://www.linkedin.com/company/nvidia/ NVIDIA on Facebook: https://www.facebook.com/NVIDIA/ NVIDIA on GitHub: https://github.com/NVIDIA Nemotron: https://developer.nvidia.com/nemotron SPONSORS: To support this podcast, check out our sponsors & get discounts: Perplexity: AI-powered answer engine. Go to https://perplexity.ai/ Shopify: Sell stuff online. Go to https://shopify.com/lex LMNT: Zero-sugar electrolyte drink mix. Go to https://drinkLMNT.com/lex Fin: AI agent for customer service. Go to https://fin.ai/lex Quo: Phone system (calls, texts, contacts) for businesses. Go to https://quo.com/lex OUTLINE: (00:00) – Introduction (00:26) – Sponsors, Comments, and Reflections (06:34) – Extreme co-design and rack-scale engineering (09:20) – How Jensen runs NVIDIA (28:41) – AI scaling laws (43:41) – Biggest blockers to AI

(0:00) Jensen Huang joins the show! (0:26) Acquiring Groq and the inference explosion (8:53) Decision making at the world's most valuable company (10:47) Physical AI's $50T market, OpenClaw's future, the new operating system for modern AI computing (16:38) AI's PR crisis, refuting doomer narratives, Anthropic's comms mistakes (20:48) Revenue capacity, token allocation for employees, Karpathy's autoresearch, agentic future (30:50) Open source, global diffusion, Iran/Taiwan supply chain impact (39:45) Self-driving platform, facing competition from active customers, responding to growth slowdown predictions (47:32) Datacenters in space, AI healthcare, Robotics (56:10) OpenAI/Anthropic revenue potential, how to build an AI moat (59:04) Advice to young people on excelling in the AI era Follow the besties: https://x.com/chamath https://x.com/Jason https://x.com/DavidSacks https://x.com/friedberg Follow on X: https://x.com/theallinpod Follow on Instagram: https://www.instagram.com/theallinpod Follow on TikTok: https://www.tiktok.com/@theallinpod Follow on LinkedIn: https://www.linkedin.com/company/allinpod Intro Music Credit: https://rb.gy/tppkzl https://x.com/yung_spielburg Intro Video Credit: https://x.com/TheZachEffect

After reporting a strong quarter, Nvidia CEO Jensen Huang speaks to Becky Quick about his company’s future and the future of the AI landscape–including the ongoing standoff between Anthropic and the Pentagon . FDA Commissioner Dr. Marty Makary discusses the agency’s push for reforms and expedited drug approvals, particularly for rare disease therapies . Plus, Beast Games Season 2 finale is out on Amazon Prime, and season three is already in preproduction. Beast Industries CEO Jeff Housenbold discusses his ambitions of building another Disney while producing the most-followed person on the internet, Mr. Beast. Dr. Marty Makary - 17:16 Jeff Housenbold - 33:30 In this episode: Dr. Marty Makary, @DrMakaryFDA Jeff Housenbold, @jtbold Joe Kernen, @JoeSquawk Becky Quick, @BeckyQuick Andrew Ross Sorkin, @andrewrsorkin Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Even if ChatGPT never existed, the tech giant NVIDIA would still be winning. The end of Moore’s Law—says NVIDIA President, Founder, and CEO Jensen Huang—makes the shift to accelerated computing inevitable, regardless of any talk of an AI “bubble.” Sarah Guo and Elad Gil are joined by Jensen Huang for a wide-ranging discussion on the state of artificial intelligence as we begin 2026. Jensen reflects on the biggest surprises of 2025, including the rapid improvements in reasoning, as well as the profitability of inference tokens. He also talks about why AI will increase productivity without necessarily taking away jobs, and how physical AI and robotics can help to solve labor shortages. Finally, Jensen shares his 2026 outlook, including why he’s optimistic about US-China relations, why open source remains essential for keeping the US competitive, and which sectors are due for their “ChatGPT moment.” Sign up for new podcasts every week. Email feedback to show@no-priors.com Follow us on Twitter: @NoPriorsPod | @Saranormous | @EladGil | @nvidia Chapters: 00:00 – Jensen Huang Introduction 00:17 – Biggest AI Surprises of 2025 04:12 – AI and Jobs: New Infrastructure and Demand for Skilled Labor 09:03 – Task vs. Purpose Framework in Labor 12:31 – Solving Labor Shortages with Robotics 15:14 – The Layer Cake of AI Technology 18:39 – The Importance of Open Source 21:52 – The Myth of “God AI” and Monolithic Models 23:54 – Addressing the “Doomer” Narrative and Regulation 29:25 – The Plummeting Cost of Compute and Tokenomics 35:09 – The Return to Research 37:49 – Future of Coding and Software Engineering 43:20 – The Industries Due For Their “ChatGPT” Moments 46:00 – The Evolution of Self-Driving Cars and Robotics 54:06 – Energy Demand and Growth for AI 58:49 – 2026 Outlook: US-China Relations and Geopolitics 1:04:43 – Is There An AI Bubble? 1:16:20 – Conclusion

Welcome to episode 149 of the AI for Career Success podcast from Curt Robbins. This educational content is designed to give working professionals who leverage AI as a tool for efficiency and productivity a competitive edge. In this episode, hosts Daphne and Fred unpack a December 3 interview with NVidia CEO Jensen Huang regarding America's AI competitiveness and how it lags behind China with respect to power and open source development. Huang describes artificial intelligence as a five-layer stack comprising energy, hardware, infrastructure, models, and applications. He emphasizes that energy production and re-industrialization are critical for maintaining American leadership, as the U.S. currently trails China in power capacity and open-source development. Huang argues that AI acts as a national security platform, fueling economic prosperity and scientific breakthroughs across all industries. While acknowledging the formidable competition from Chinese firms like Huawei, he remains confident in the inventive spirit of the American technology sector. He also addresses societal fears by clarifying that AI enhances human jobs rather than replacing them, specifically by automating repetitive tasks. Ultimately, Huang views the current era as a pivotal industrial revolution that will define global progress for the next two decades. _________________________________ "It will not be AI that takes away the job of a technical writer, but rather another technical writer with deep AI skills," said Robbins. I am currently taking on new clients. I enjoy helping companies with their documentation and communications strategy and implementation. Contact me to learn about my reasonable rates and fast turnaround. — Curt _________________________________ >> Watch the original Huang interview: https://tinyurl.com/ye22nb35 >> Read the Robbins article "The Global AI Race: America vs. China": https://tinyurl.com/2uckj7wy >> Read the Robbins article "Understanding AI Hallucinations in Technical Writing": https://tinyurl.com/bdeyd64t >> Read the Robbins article "Yale Study: Impact of AI on the Job Market": https://tinyurl.com/f3cuvvxn >> Read the Robbins article "Why Large Language Models are Changing the World": https://tinyurl.com/bdfv63ca >> Read the Robbins article "Understanding Anthropic: Rising Star in AI": https://tinyurl.com/46btw22z >> Read the Robbins article "Comparing ChatGPT, Gemini, Copilot, & Grok": https://tinyurl.com/3zwttxhk >> Read the Robbins article "AI Job Replacement Fears Are Good. Here's Why.": https://tinyurl.com/p5t27t7d >> Join the LinkedIn group Technical Writing Success: https://tinyurl.com/mr28u7td >> Subscribe to the Technical Writing Success podcast: https://tinyurl.com/uu9hpyzt

Welcome to episode 135 of the AI for Career Success podcast from Curt Robbins. This educational content is designed to give working professionals who leverage AI as a tool for efficiency and productivity a competitive edge. In this episode, hosts Daphne and Fred unpack a December 3 interview of Nvidia CEO Jensen Huang on the Joe Rogan Experience podcast. Learn the most important takeaways from this insightful interview. This 10-minute episode summarizes the 2.5 hour conversation between Rogan and Huang, primarily discussing the rapid advancement and future of Artificial Intelligence (AI). They cover the profound technological race in AI, its potential for job disruption (using the growth in radiologists as a counter-example), and the ongoing societal fear regarding AI consciousness and control. Huang also shares the incredible, high-stakes origin story of Nvidia, detailing the company's early near-failures, the critical role of the first AI model, Alexnet, and his ongoing anxiety about the company's survival despite its massive success. Furthermore, they touch on the importance of energy growth and Moore's Law in enabling the AI industry and the value of international cybersecurity cooperation. _________________________________ "It will not be AI that takes away the job of a technical writer, but rather another technical writer with deep AI skills," said Robbins. I am currently taking on new clients. I enjoy helping companies with their documentation and communications strategy and implementation. Contact me to learn about my reasonable rates and fast turnaround. — Curt _________________________________ >> Watch the original Huang interview from December 3: https://tinyurl.com/tmzmfsxw >> Read the Robbins article "Understanding AI Hallucinations in Technical Writing": https://tinyurl.com/bdeyd64t >> Read the Robbins article "Yale Study: Impact of AI on the Job Market": https://tinyurl.com/f3cuvvxn >> Read the Robbins article "Why Large Language Models are Changing the World": https://tinyurl.com/bdfv63ca >> Read the Robbins article "Understanding Anthropic: Rising Star in AI": https://tinyurl.com/46btw22z >> Read the Robbins article "Comparing ChatGPT, Gemini, Copilot, & Grok": https://tinyurl.com/3zwttxhk >> Read the Robbins article "AI Job Replacement Fears Are Good. Here's Why.": https://tinyurl.com/p5t27t7d >> Join the LinkedIn group Technical Writing Success: https://tinyurl.com/mr28u7td >> Subscribe to the Technical Writing Success podcast: https://tinyurl.com/uu9hpyzt

The conversation between Joe Rogan and Nvidia CEO Jensen Huang provides a comprehensive overview of the current state and future of artificial intelligence (AI) . Huang recounts the improbable origin story of Nvidia, which nearly went bankrupt before its graphics architecture—originally developed for 3D gaming —became the foundation for modern deep learning, leading to a massive increase in computing power that he argues is chiefly channeled toward AI safety and improved functionality. They discuss the societal impacts of this exponential growth, including the debate over AI sentience and its complex effect on the job market, noting that job purpose often shifts rather than disappears entirely. Huang also shares personal leadership insights, revealing that his constant, demanding work ethic is rooted in a fundamental fear of failure rather than sheer ambition for success. Finally, the discussion touches upon politics, with Huang offering surprising praise for former President Donald Trump’s practical pro-growth energy and domestic manufacturing policies, which he credits with creating the necessary conditions for the AI industry to thrive.

The conversation between Joe Rogan and Nvidia CEO Jensen Huang provides a comprehensive overview of the current state and future of artificial intelligence (AI) . Huang recounts the improbable origin story of Nvidia, which nearly went bankrupt before its graphics architecture—originally developed for 3D gaming —became the foundation for modern deep learning, leading to a massive increase in computing power that he argues is chiefly channeled toward AI safety and improved functionality. They discuss the societal impacts of this exponential growth, including the debate over AI sentience and its complex effect on the job market, noting that job purpose often shifts rather than disappears entirely. Huang also shares personal leadership insights, revealing that his constant, demanding work ethic is rooted in a fundamental fear of failure rather than sheer ambition for success. Finally, the discussion touches upon politics, with Huang offering surprising praise for former President Donald Trump’s practical pro-growth energy and domestic manufacturing policies, which he credits with creating the necessary conditions for the AI industry to thrive.

What NVIDIA is trying to build next… Subscribe for more optimistic science and tech stories from our show Huge If True. You're probably hearing a lot about AI, DeepSeek, NVIDIA and more right now. If you want the big picture (and to start from the beginning), watch this Huge Conversation with NVIDIA CEO Jensen Huang. In the last few years, NVIDIA has skyrocketed to become one of the world's most valuable companies. That's because, beginning in the 90s, they led a fundamental shift in how computers work, now unleashing the current explosion of what’s possible with technology. A huge amount of the most futuristic tech you’re hearing about - in AI, robotics, gaming, self-driving cars, breakthrough medical research - relies on new chips and software designed by him and his company. During the dozens of background interviews I did to prepare for this, what struck me most was how much Jensen Huang has already influenced all our lives over the last 30 years, and how many are saying it’s just the beginning of something even bigger… We all need to know what he’s building and why, and most importantly, what he’s trying to build next, so you can decide for yourself what you think of it. Welcome to the second episode of our new series, Huge Conversations… If you want to know what the most important people building the future are imagining it will look like, Huge Conversations is the show for you. This interview was recorded at CES in Las Vegas on January 7th, 2025. Watch our first episode of Huge Conversations with Mark Zuckerberg here: • The Future Mark Zuckerberg Is Trying To Build Watch our trailer to understand more about the mission of Huge Conversations: • Something Huge Is Coming... Chapters: 0:00 What is Jensen Huang trying to build? 1:40 The goal of this Huge Conversation 3:40 How did we get here? 4:25 What is a GPU? 5:45 Why video games first? 7:59 What is CUDA? 11:04 Why was AlexNet such a big deal? 15:40 Why are we hearing about AI so much now? 19:33 What are NVIDIA’s core beliefs? 21:34 Why does this moment feel so different? 24:08 What’s the future of robots? 30:15 What is Jensen’s 10-year vision? 32:00 What are the biggest concerns? 35:14 What are the biggest limitations? <a href="https://www.youtube.com/watch?v=7ARBJQn6QkM&t=2285

In an extended interview, Nvidia CEO Jensen Huang discusses the AI infrastructure landscape and his company’s investments in AI projects including OpenAI , xAI , and Coreweave. After leading the chipmaker for decades, Huang shares his perspective on the U.S. position in the AI arms race ; China, he says, is not far behind. Plus, Huang weighs in on reports that Oracle is losing money on Nvidia chips , H-1B visas, and President Trump’s tech policies . In Washington, CNBC’s Emily Wilkins reports on the eighth day of the government shutdown. Emily Wilkins - 04:53 Jensen Huang - 17:15 In this episode: Emily Wilkins, @emrwilkins Michael Santoli, @michaelsantoli Becky Quick, @BeckyQuick Katie Kramer, @Kramer_Katie Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.

Jensen Huang is the co-founder and CEO of NVIDIA, the company that created the modern GPU and became the infrastructure backbone of the global AI boom with a multi-trillion-dollar market cap. His episode on Inflection Moments traces how a Taiwanese-born immigrant who once cleaned toilets at a Kentucky boarding school ends up sketching a chip company on a Denny’s napkin, and then spends three decades dragging it through near-bankruptcy, brutal product failures, and finally into the center of the AI economy.Pivotal moments in Jensen's story include how the company nearly collapsed in 1996, just three years after founding Yahoo! when their chip design for Sega's Dreamcast proved incompatible with industry standards. Rather than deliver a failed product, Huang chose radical honesty, admitted the mistake to Sega, and received a $5 million investment that saved the company. He then laid off more than half his staff and pivoted completely, developing the RIVA 128 chip in just nine months while having only enough money left for one month's payroll For founders and investors, Huang's journey demonstrates that intellectual honesty, willingness to make brutal pivots, long-term vision over short-term gains (like his decade-long bet on CUDA that initially lost money but enabled AI dominance), and building for markets that don't yet exist can transform near-bankruptcy into industry leadership.Chapters( 00:00 ) Introduction( 06:33 ) Inflection Point #1: The Oneida Experience( 11:02 ) Inflection Point #2: The $600 Founding of NVIDIA( 16:52 ) Inflection Point #3: The NV1 Disaster( 23:19 ) Inflection Point #4: Walking Away From Billions( 29:13 ) Inflection Point #5: The AI Awakening( 35:42 ) Common Threads( 40:58 ) Closing ThoughtsConnectFollow our channels below if you're interested in insights, ideas, and lessons from the greatest entrepreneurs in history:Newsletter: www.inflectionmoments.comLinkedIn: linkedin.com/in/david-franklin8456/Spotify: https://open.spotify.com/show/0aqoOm5... Apple Podcasts: https://podcasts.apple.com/us/podcast... YouTube: @InflectionMomentsIf you're enjoying the episodes, make sure to like the video and subscribe to the channel so you never miss an episode.

Jensen Huang, who founded NVIDIA in the early 1990s and built it into one of the most valuable companies in the world today, has thought a lot about AI's impact on global energy and climate systems. Jensen has much to say about AI's potential benefits for energy innovation, power demand for AI, and a range of related topics, as David Sandalow — the inaugural fellow here at the Center on Global Energy Policy — learned when interviewing him. Today, we're bringing you their conversation in full from the AI Energy and Climate podcast which originally aired in April of this year. Jensen and David explore why AI requires so much energy, but also how the technology can actually reduce energy consumption in applications from weather forecasting to manufacturing. Jensen describes innovations like silicon photonics that could save megawatts of power in data centers, and he shares a few ideas for using AI to improve efficiency in the industrial and power sectors. Moreover, he explains his vision for what he calls "AI factories" — and how they could be powered in ways that can reduce strain on the grid. Jensen Huang is the president of NVIDIA, which he founded in 1993 to advance accelerated computing. In 1999, NVIDIA released the GeForce 256 which it called "the world's first GPU". It became a key enabler of PC gaming and computer graphics, and ignited the era of modern AI.

Jensen Huang on why AI will be indispensable, how he uses AI, synthetic data and AI generated knowledge in 10 years to be 99% on all AIs, and his own American Dream. This Part 3 is the third and last 10-minute segment of a 3-part recording of Jensen Huang’s entire 30-minute talk in Stanford on July 26, 2025. Part 3 Summary: to read Pt. 3 as a 5-min blog To watch Pt. 3 as a 16-minute video Part 3 Summary: Jensen Huang advised young people to learn how to reason and break things down to first principles. To know what the first principles are: “Go to school!” In answering the concerns about human collective intelligence of managing the collective intelligence of AGI, Jensen Huang stated that “... human generated knowledge and human generated data would today be 99%, in about 10 years it will probably be 1%. The vast majority of human knowledge will be generated by AI. It will be AI generated data that the other AIs learn from,...it’s going to be synthetic generated intelligence. …that's just intelligence, it is not a big deal, It's just data…that the amount of AI generated knowledge is to be incredibly high.” (Comments from Joanne Z. Tan:) I respectfully disagree with Jensen Huang regarding synthetic data: I wrote an article (link below) seven months ago, analogizing the danger of synthetic data to Norman Rockwell’s famous painting, “The Gossips”. What may start as a story about a “cat”, may end up being about an “elephant” after being passed through 15 people. It is therefore important to label data either as originating from a source or as synthetic, before being used to train AI and becoming untraceable, to avoid misinformation that can cause catastrophes like a financial market meltdown. Here is my article: https://10plusbrand.com/2025/01/13/synthetic-data-ai-toxic-assets-financial-crises-2008-1987-joanne-z-tan/ This point is echoed by a prominent expert in the AI fintech industry, who was also a chief data officer at both state and federal government levels, in the “Interviews of Notables and Influencers”. The subheadings about synthetic data speak for themselves: https://10plusbrand.com/2025/04/07/ai-future-synthetic-data-ai-mistakes-ai-governance-crypto-regulations-knowledge-economy-tammy-roust-interview-joanne-z-tan/ (At 46

“AI is about solving these cognitive, reasoning, planning, and search problems.” “And it comes down to one thing: Do you have more ideas than you wish you could pursue if you were more productive? Do you have more dreams, and they can come true, if you had more time? And if you have those things, productivity is going to result in your growth. But if you don’t, then productivity is going to result in more idle time.” This Part 2 is the second 10-minute segment of a 3-part recording of Jensen Huang’s entire 30-minute talk in Stanford. Part 2 Summary: Jensen Huang continued a belief system or vision has to come from first principle thinking, first principle computer science or physics or economics. "First principle reasoning, added to it, was inspiration.” He states that principled thinking was really important in arriving at . “Then you gut check that literally every single day,... continuously re-evaluate our strategies and our decisions.” Jensen Huang explained how Moore’s Law is evidenced in computation, AI advancement, and the dramatic cost reduction. Then he observed that Nvidia’s computing platform can enable changes in algorithm, architecture, system, silicon, and fundamental computation - all at the same time. Jensen explained about a prediction he made a decade ago, and it helped Nvidia to reinvent and reframe itself from a chip company to building entire data centers. He predicted that AGI will take less than two years to achieve superhuman levels. Learn why Jensen Huang believes that AI will not take over human intelligence, but help us with tasks and free us to pursue more dreams, hopes, aspirations, and ideas. “I think we will be busier than ever.” (Jensen Huang’s remaining 10-minute talk, with Joanne Z. Tan's summary and comments, continues in Part 3.) Read it as a 5-min blog Watch it as a 16-min video ©Joanne Z. Tan all rights reserved. Please don't forget to like it, comment, or better, SHARE IT WITH OTHERS! - To stay in the loop, subscribe to our Newsletter (About 10 Plus Brand: In addition to the “whole 10 yards” of brand building, digital marketing, and content creation for business and personal brands. To contact us: 1-888-288-4533.) - Visit our Websites: https://10plusbrand.com/ https://10plusprofile.com/ Phone: 888-288-4533 - Find us online by clicking or follow these hashtags: #10PlusBrand #10PlusPodcast #JoanneZTan #10PlusInterviews <a href='

This episode is part of our “Summer Selects” series—curated archival episodes that shifted our perspective and are worth revisiting. NVIDIA founder and CEO Jensen Huang reveals the leadership philosophies and management practices that have made NVIDIA a powerhouse of AI and accelerated computing. Jensen discusses why first-principles thinking is at the core of his decision-making, how he shapes company strategy through action—not words—and why he believes in empowering teams to pursue “barely possible” challenges. He shares his approach to building an organization that attracts exceptional talent, values deep domain expertise, and maintains a flat hierarchy where information travels quickly and everyone contributes. Jensen also reflects on how leadership means creating an environment for others to thrive, why flat organizations win, and how empowering employees at every level leads to breakthrough innovation. Whether you’re a founder, manager, or aspiring leader, this interview is packed with actionable wisdom and inspiration from one of technology’s most respected CEOs. What's in this episode How Jensen challenged classic management playbooks to create a nimble, empowered organization The value of direct communication, transparency, and learning from everyone in the company Why NVIDIA avoids siloed structures, status reports, and commodity work The “top five things” system for keeping a pulse on the company and aligning action with strategy Why continuous, adaptive planning beats rigid five-year plans in fast-moving industries The importance of humility, adaptability, and changing your mind as a leader Insights on creating a culture where people can do their life’s best work—and walk away from the wrong work — Transcript: https://sanalabs.com/strange-loop/jensen-huang — About Strange Loop Strange Loop is a podcast about how artificial intelligence is reshaping the systems we live and work in. Each episode features deep, unscripted conversations with thinkers and builders reimagining intelligence, leadership, and the architectures of progress. The goal is not just to follow AI’s trajectory, but to question the assumptions guiding it. Subscribe for more conversations at the edge of AI and human knowledge. — Timestamps (00:04) Staying current in tech as a leader (01:14) Building intuition for industry change (03:22) Running a company on first principles (04:25) Attracting, empowering, and organizing top talent (07:31) Leadership style: direct, inclusive, evolving (10:21) "Top Five Things" and transparent communication (13:16) Continuous planning and true empowerment — Where to find Jensen LinkedIn: https://www.linkedin.com/in/jenhsunhuang/ Blog: https://blogs.nvidia.com/blog/author/jen-hsun-huang/ — Where to find Joel LinkedIn: https://www.linkedin.com/in/joel-hellermark/ X: https://x.com/joelhellermark

Join hosts Mike and Mark for a riveting new episode of the Moonshots Podcast, where they delve into the extraordinary leadership journey of Jensen Huang, the visionary co-founder and CEO of NVIDIA. Discover how Huang's innovative thinking and resilience have propelled NVIDIA to the forefront of the technology industry, shaping the future of AI, high-performance computing, and autonomous driving. Read Short Biography: https://www.apolloadvisor.com/nvidia-ceo-jensen-huang-lessons-for-entrepreneurs/ Episode Highlights: INTRO : The episode starts with a segment from 60 Minutes, showcasing the incredible power of NVIDIA and its influence on the future of AI. Clip : The future of AI (2m41) FOUNDING NVIDIA : Travel back to 2009, when Jensen recalls NVIDIA's early days . Learn how the three founding members gave the company its legs and gain valuable insights into securing venture capital funding. Clip : The first six months (2m31) LEADERSHIP INSIGHTS : Jensen Huang shares a profound perspective on the importance of suffering and resilience, hitting us with some hard truths about leadership and perseverance. Clip : Expectations versus resilience (1m40) OUTRO : The episode concludes with Jensen offering his wisdom on our perception of time and how we can always make room for what truly matters. Clip : There’s always time (2m48) About Jensen Huang: Jensen Huang, born on February 17, 1963, in Taiwan, moved to the U.S. at age ten and pursued engineering, earning degrees from Oregon State University and Stanford University. Huang co-founded NVIDIA in 1993, and under his leadership, the first GPU was introduced in 1999, transforming NVIDIA into a leader in AI and high-performance computing. His philanthropic efforts and recognition, including a $50 million donation to Oregon State University and being named to the TIME 100 list, reflect his profound impact on technology and society. About Moonshots Podcast: Moonshots Podcast helps entrepreneurs become the best versions of themselves by overcoming self-doubt and shooting for the moon. We learn out loud, deconstructing the success of the world's greatest thinkers and entrepreneurs to apply their insights to our lives. Thanks to our monthly supporters Mike Edwin Deitch Jamie Dorward Emily Rose Banks Malcolm Magee Natalie Ryan N. Marco-Ken Möller 孤鸿 月影 Fabian Jasper Verkaart Andy Pilara ola Austin Hammatt Zachary Phillips Mike Leigh Cooper Gayla Schiff Laura KE Roar Nikolay Ytre-Eide Stef Roger von Holdt venkata reddy Ingram Casey Ola rahul grover Ravi Govender Craig Lindsay Steve Woollard Deborah Spahr Samoela Jo Hatchard Kalman Cseh Berg De Bleecker Paul Acquaah MrBonjour Konnor Ah kuoi Marjan Modara Dietmar Baur Bob Nolley ★ Support this podcast on Patreon ★

Jensen Huang, co-founder and CEO of NVIDIA, believes leadership is about more than making decisions—it’s about empowering others to reason through ambiguity and drive transformative change. In this bonus episode of If/Then , Huang sits down with Stanford GSB student Shantam Jain, MBA ’24, on Stanford GSB’s View From The Top podcast, to discuss his journey from an ambitious engineer to the leader of one of the most innovative companies in the world. Huang reflects on the lessons learned during pivotal moments in NVIDIA’s history, from betting on 3D graphics before the market existed to embracing the potential of AI and accelerated computing. “You can’t create change by doing what everyone else is doing,” Huang explains. “You have to go back to first principles and ask: how would you build this today?” Despite navigating industry disruptions and financial crises, Huang remains focused on the future. He shares how NVIDIA has consistently stayed ahead by building technology that not only solves today’s problems but anticipates the needs of tomorrow. As this episode reveals, it’s not just about technological breakthroughs—it’s about cultivating a culture of resilience and purpose to redefine the future. For a full transcript of this episode, visit our podcast’s website . More Resources: View From The Top: The Podcast | Stanford GSB Jensen Huang on How to Use First-Principles Thinking to Drive Decisions | Stanford GSB Chapters: (00:00:00) Introduction Kevin Cool introduces a bonus episode from the View From The Top podcast featuring CEO and founder of NVIDIA, Jensen Huang. (00:01:39) Early Career and Founding NVIDIA Huang reflects on his journey from LSI Logic to co-founding NVIDIA. (00:04:56) Securing Early Investments Convincing Silicon Valley investors to back NVIDIA in a non-existent market. (00:08:31) Pivoting in the Face of Failure The critical decisions and resets that saved NVIDIA during challenges. (00:16:24) Call That Changed Everything The pivotal phone call that led to a shift in NVIDIA's innovation focus. (00:19:21) Finding Conviction The balance of core beliefs and early indicators of future success. (00:26:45) Weathering Market Downturns Staying focused on unchanging principles to weather external challenges. (00:31:36) Creating a Flat Organization Empowering employees by sharing context and reasoning transparently. (00:38:13) The Future of Generative AI Generative AI’s potential to redefine computing and communication (00:45:38) Building Organizations for Tomorrow Designing adaptable, future-focused organizations from first principles. (00:48:22) Challenges and Opportunities Ahead Challenges NVIDIA faces, and the innovations Huang is most excited about. (00:51:33) Pace and Regulation of AI Development The need for regulatory measures alongside rapid techn

Join hosts Mike and Mark for a riveting new episode of the Moonshots Podcast, where they delve into the extraordinary leadership journey of Jensen Huang, the visionary co-founder and CEO of NVIDIA. Discover how Huang's innovative thinking and resilience have propelled NVIDIA to the forefront of the technology industry, shaping the future of AI, high-performance computing, and autonomous driving. Read Short Biography: https://www.apolloadvisor.com/nvidia-ceo-jensen-huang-lessons-for-entrepreneurs/ Episode Highlights: INTRO : The episode starts with a segment from 60 Minutes, showcasing the incredible power of NVIDIA and its influence on the future of AI. Clip : The future of AI (2m41) FOUNDING NVIDIA : Travel back to 2009, when Jensen recalls NVIDIA's early days . Learn how the three founding members gave the company its legs and gain valuable insights into securing venture capital funding. Clip : The first six months (2m31) LEADERSHIP INSIGHTS : Jensen Huang shares a profound perspective on the importance of suffering and resilience, hitting us with some hard truths about leadership and perseverance. Clip : Expectations versus resilience (1m40) OUTRO : The episode concludes with Jensen offering his wisdom on our perception of time and how we can always make room for what truly matters. Clip : There’s always time (2m48) About Jensen Huang: Jensen Huang, born on February 17, 1963, in Taiwan, moved to the U.S. at age ten and pursued engineering, earning degrees from Oregon State University and Stanford University. Huang co-founded NVIDIA in 1993, and under his leadership, the first GPU was introduced in 1999, transforming NVIDIA into a leader in AI and high-performance computing. His philanthropic efforts and recognition, including a $50 million donation to Oregon State University and being named to the TIME 100 list, reflect his profound impact on technology and society. About Moonshots Podcast: Moonshots Podcast helps entrepreneurs become the best versions of themselves by overcoming self-doubt and shooting for the moon. We learn out loud, deconstructing the success of the world's greatest thinkers and entrepreneurs to apply their insights to our lives. Thanks to our monthly supporters Mike Edwin Deitch Jamie Dorward Emily Rose Banks Malcolm Magee Natalie Ryan N. Marco-Ken Möller 孤鸿 月影 Fabian Jasper Verkaart Andy Pilara ola Austin Hammatt Zachary Phillips Mike Leigh Cooper Gayla Schiff Laura KE Roar Nikolay Ytre-Eide Stef Roger von Holdt venkata reddy Ingram Casey Ola rahul grover Ravi Govender Craig Lindsay Steve Woollard Deborah Spahr Samoela Jo Hatchard Kalman Cseh Berg De Bleecker Paul Acquaah MrBonjour Konnor Ah kuoi Marjan Modara Dietmar Baur Bob Nolley ★ Support this podcast on Patreon ★

"You can learn how something can be done and then go back to first principles and ask yourself, 'Given the conditions today, given my motivation, given the instruments, the tools, given how things have changed, how would I redo this? How would I reinvent this whole thing?" Jensen Huang, founder and CEO of NVIDIA, started his career washing dishes at Denny's. He then worked his way to busboy and, eventually, founded what is one of today's most valuable companies on Wall Street. In this interview at Stanford GSB's View From The Top event, founder and CEO Jensen Huang, MS '92, shares the stage with Shantam Jain, MBA '24, to detail his experience founding NVIDIA, funding it, and, finally his views on AI. Stanford GSB’s View From The Top is the dean’s premier speaker series. It launched in 1978 and is supported in part by the F. Kirk Brennan Speaker Series Fund. During student-led interviews and before a live audience, leaders from around the world share insights on effective leadership, their personal core values, and lessons learned throughout their career. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info .