Stanford GSB

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Canal • 4 programas

Administración

Administración

Cada dos semanas
Economía y empresa

Economía y empresa

Cada dos semanas
Administración

Administración

12 ago
Emprendimiento

Emprendimiento

Dos veces al mes

12 ago

David Rubenstein on Leading the Parade

David Rubenstein, co-founder and co-chairman of the Carlyle Group, one of the world’s largest private equity firms, was the first person in his family to go to college. Born to blue-collar parents in Baltimore, Maryland, he didn't set out to be an investor. “I was always interested in politics,” Rubenstein tells Sanil Rajput, MBA ’26, in a conversation recorded live at Stanford Graduate School of Business. Though he got his JD from the University of Chicago, “I wasn't really interested in the law, and the law wasn't interested in me,” he says. A roundabout series of events resulted in a job advising Jimmy Carter; that role, in turn — and the abrupt end of it when Carter lost the presidency to Ronald Reagan in 1980 — would eventually lead him to private equity. “I struggled for a while to get a job,” Rubenstein recalls. “Because when you're out of power in Washington, you're a dead man.” After reading that a former Treasury secretary had turned $1 million into $80 million in 18 months on something called a leveraged buyout, Rubenstein co-founded Carlyle in 1987. “‘When you're getting kicked out of town, get out in front and pretend you're leading a parade,’” he says, quoting former Illinois Senator Everett Dirksen. “What does that mean? It means take advantage of the situation you find yourself in. If you're getting kicked out of town, say you're leading a parade. If you're in Washington, D.C., say you understand companies heavily affected by the federal government better than the guys in New York do.” Today, Carlyle manages several hundred billion dollars and has offices in more than 30 countries. Rubenstein has since become a prolific philanthropist, interviewer, and as of 2024, owner of the Baltimore Orioles. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
10 jun

Our AI Future: From Abundance to Apocalypse

Chad Jones, a professor of economics at Stanford Graduate School of Business, recently published a paper, “AI and Our Economic Future.” Using more than 100 years of economic data, he modelled several potential AI-infused economic futures we may experience. These include the good (abundance, we never work again), the not-so-bad (business more or less as usual), and the ugly (a superintelligence that turns on us, among other catastrophic options). Cheery stuff, Jones acknowledges, but essential to face. “I think the ability for an AI to do everything on a computer that the best software engineer can do, that seems like it’s either here now or will be here within five years easily,” Jones says. “Hacking the electric grid, hacking the financial system, these kinds of scenarios are things that we definitely have to worry about. The good news is, I think if we get through that, the ability of AI to transform the economy for good, it is really there and present. And, that would be a very great and bright future.” Related Content: Chad Jones faculty profileWhat’s the Price Tag for Preventing an AI Apocalypse?At What Point Do We Decide AI’s Risks Outweigh Its Promise? Chapters: 00:00:00 Introduction 00:01:32 The difference between now & previous periods of innovation 00:02:29 Two scenarios for AI-driven growth 00:06:18 The case for business-as-usual 00:11:06 Weak links and the limits of automation 00:17:53 What the models are showing about growth 00:19:58 The economics of abundance 00:25:29 The weak-link model’s timing & possible adaptations 00:27:51 Who gains in an AI economy? 00:29:55 Catastrophic risk and the downside of acceleration 00:34:31 The downsides of the weak link model 00:36:38 Meaning, identity, and human value 00:39:55 Leisure in a post-work world 00:41:43 What the next generation may inherit 00:44:07 Conclusion If/Then, from Stanford GSB, features conversations with faculty that explore how their research deepens our understanding of business and leadership. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
1 jul

Daniela Amodei Says Curiosity Is Underrated

Daniela Amodei and her brother Dario lead Anthropic, one of the world’s biggest and most influential AI companies. It wasn’t in her career plan. “I really think of myself as a generalist,” Amodei tells Gintare Zukauskaite, MBA ’26, in a conversation recorded live at Stanford Graduate School of Business earlier this year. “If you were to look through my background, you would be like, ‘What is this lady actually good at? She doesn’t have a law degree. She’s not a computer scientist.’” But, she continues, “The ability to be curious and learn across a lot of disciplines and to have a strong foundation of wanting to have impact, regardless of the area that you’re working on — I think that’s an underrated quality.” Almodei says that Anthropic is founded on "radical" responsibility and transparency. Asked about her decision to leave OpenAI and co-found Anthropic, she says, “We were running towards something versus running away from something. We had this vision in our heads of wanting to create an organization where the values that matter to us around safety and around responsibility were at the forefront of what we were doing.” The best piece of advice she’s ever received came from a friend and mentor she turned to during that turbulent time: “You already know what the right answer is.” See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
18 jun

An AI@GSB Special: Demis Hassabis Thinks We’re in the ‘Foothills of the Singularity’

When Demis Hassabis pitched DeepMind to a few venture capitalists back in 2010, the business plan was almost comically audacious. “Step one: Solve intelligence. Step two: Use it to solve everything else,” he recalls in a conversation at Stanford Graduate School of Business with Stanford University President Jonathan Levin. “And people were quite confused. But we really meant it.” Sixteen years later, the “broad arcs” of that plan have gone “unbelievably well,” says Hassabis, a chess prodigy turned video game developer turned neuroscientist turned Nobel Prize-winning AI pioneer. Today he’s on a mission to create “the ultimate tool for science,” building on his decision to give away AlphaFold, the groundbreaking AI system that predicts the structures of proteins. The future, Hassabis says, is just around the corner: “Ten years from now, I think we’ll realize that we were standing in the foothills of the singularity now.” AI@GSB, the Dean's Applied AI initiative at the Stanford Graduate School of Business (GSB), and Stanford Medical School hosted a conversation with Demis Hassabis, Co-founder and CEO of Google DeepMind, on the frontier of artificial intelligence and what it means for how we live, work, and flourish. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
25 jun

What AI Can’t Do — And Why

“Humans manage to do so much with surprisingly little,” says Douglas Guilbeault, an assistant professor of organizational behavior at Stanford Graduate School of Business. “Whereas AI, by comparison, is doing relatively little, but with so much power, so much compute, so many resources, and by comparison, relatively fewer constraints.” On a bonus episode of the If/Then podcast, Guilbeault describes the implications of his recent work. Although he readily acknowledges that AI is “increasingly able to do quite a lot,” Guilbeault and his colleagues believe they have identified a key principle that distinguishes human intelligence from machine intelligence — and one which illuminates the limitations of machine thinking. Although some researchers and AI boosters believe both humans and AI learn via optimization, Guilbeault and his colleagues have shown that another process more accurately captures how people distill the seemingly infinite complexity of the world and act based on limited information. “You encounter a lot of noise, a lot of chaos, a lot of randomness,” Guilbeault says. “We somehow figure out how to make meaning and establish strong understandings from within that.” What limitations have you encountered in your work with AI? Share your story with us at ifthenpod@stanford.edu. Related Content: Douglas Guilbeault faculty profileRead "A Simple Threshold Captures the Social Learning of Conventions" here Chapters: 00:00:00 Introduction 00:01:40 Why human learning matters for AI 00:05:03 Satisficing and the limits of optimization 00:06:41 Why LLMs learn differently from humans 00:09:58 The stakes of AI hype 00:13:11 “Humanity has had a good run” 00:15:19 Intuition, insight, & conceptual leaps 00:17:38 Beyond statistics: metaphor, vibes, & reasoning 00:19:39 A simple rule for social learning 00:21:18 Is there a ceiling for AI? 00:23:00 Randomness, disorder, & the path to insight 00:25:00 What an optimization mindset leaves out 00:27:54 Conclusion If/Then, from Stanford GSB, features conversations with faculty that explore how their research deepens our understanding of business and leadership. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
25 mar

What We Actually Learn From Experience

Steven Callander has spent years building a mathematical framework to answer the question of how people learn from experience. “Here in Silicon Valley, the expression that you learn from failure is very widespread and very intuitive. But the question is… what do you learn? How do you optimally learn from that experience?” In this episode, Callander, the Herbert Hoover Professor of Public and Private Management and Professor of Political Economy at Stanford Graduate School of Business, explains the hidden, deceptively simple logic of correlated learning — and it may change how you think about finding the right job, the right market, or the right strategy. “It fascinates me and I can't stop thinking about it,” he says. Has theory made an impact on your life? Tell us more at ifthenpod@stanford.edu. Related Content: Steven Callander faculty profileHow to Turn Old Ideas Into Creative Solutions to Modern ProblemsWhat We’re Still Learning from Silicon Valley’s Bank Collapse Chapters: 00:00 Ann Miura-Ko on learning and the search for patterns in Venture capital 02:51 Introduction 05:23 What is correlated learning? 06:40 Where does this research apply in the real world? 09:28 Brownian Motion 12:45 Steven Callander’s Framework 15:25 Examples of correlated learning when seeking expert advice 20:53 Applying correlated learning 23:57 Why correlated learning research? 24:51 Conclusion If/Then, from Stanford GSB, features conversations with faculty that explore how their research deepens our understanding of business and leadership. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
11 mar

How Dating and Sports Explain the Job Market

Seemingly unrelated activities — like taking a soccer penalty kick or crafting an online dating profile — involve an embedded economics. “Understanding and applying economic logic can be valuable in pretty much any job or any other endeavor in your life,” says Paul Oyer, a professor of economics at Stanford Graduate School of Business. On this episode, Oyer digs into the shared economic logic of online dating and the labor market, explains why pro athletes and sports fans think like economists, and explores how AI has reduced the beneficial friction that was once a part of job searches. Got a question about the economics of dating, sports, or the job market? Ask us at ifthenpod@stanford.edu. Related Content: Paul Oyer faculty profileUtility Player: Paul Oyer Explains How Economics Can Make Sports More Fun Chapters: 00:00 Strategic decision-making in air traffic control 03:06 Introduction 03:27 Why sports are a useful lens for understanding economics 09:53 Why economics matters far beyond money 10:54 Economics & online 14:36 Applications of game theory 16:54 How AI is reshaping hiring and the labor market 22:25 The labor market challenge economists still have not solved 24:18 Conclusion If/Then, from Stanford GSB, features conversations with faculty that explore how their research deepens our understanding of business and leadership. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
16/07/2025

Ken Griffin Still Checks His P&L

Ken Griffin heads the most profitable hedge fund in history. But Citadel’s founder and CEO is focused on the future — not the scoreboard. “I like to think I haven’t accomplished yet what I will be remembered for,” Griffin tells Michael Liu, MBA ’25. “That this is not a view from the top, but a journey to a destination yet to be determined.” From entrepreneurship — “If you want to be an entrepreneur, you have to first learn how to sell” — to the importance of lifelong learning — “If you’re going to go to work at a firm and you’re the smartest person in the room, you have so screwed up your Stanford MBA” — Griffin reflects on what he’s learned since the early days of Citadel and why he's still laser-focused on learning today. “I think legendary investors really know when they have an advantage — and they press it. They’re confident in their conviction, and when they're wrong, they move on.” This conversation was recorded on April 25, 2025. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
8 abr

The Paradox of Masculinity

“Masculinity is my new frontier,” says Ashley Martin, an associate professor of organizational behavior at Stanford Graduate School of Business. Martin, whose work examines why gender plays such a central role in how we perceive and make sense of others, has been looking at how traits associated with masculinity are simultaneously organizationally rewarded even as they’re personally harmful to men. “We spend a lot of time talking about gender inequality through the lens of women’s disadvantage,” she says. “I think that many of the problems that we’re seeing today… are actually bound up in masculinity.” What impact do you think masculinity and femininity have on our work and our world? Tell us more at ifthenpod@stanford.edu. Related Content: Ashley Martin faculty profile Is that Self-Driving Car a Boy or a Girl? Why Taking Gender Out of the Equation Is So Difficult Chapters: 00:00 How movies shape our ideas about masculinity 04:02 Introduction 05:15 How Ashley Martin got into studying gender 05:58 When gender is removed from hiring 07:10 The “pet rock” study 10:35 The universal use of gender 13:02 Gendering objects 15:12 How masculinity affects men 18:13 The current implications of Martin’s research 20:41 What healthier models of masculinity might look like 23:47 Ashley’s next frontier: masculinity, material culture, and social problems 25:07 Conclusion If/Then, from Stanford GSB, features conversations with faculty that explore how their research deepens our understanding of business and leadership. See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
24/09/2025

GSB at 100: “The Magic”

This week on View From the Top we’re sharing an episode of GSB at 100, a limited audio series created especially for Stanford Graduate School of Business’s Centennial. GSB at 100 presents a scrapbook of memories, ideas, and breakthroughs, as the GSB celebrates its first century and looks around the corner to what the next hundred years may hold. The first episode of the series begins where the GSB begins: in 1925, Herbert Hoover, a Stanford alum and future U.S. president, had an idea. “A graduate School of Business Administration is urgently needed upon the Pacific Coast,” he wrote. One hundred years later, what has Stanford Graduate School of Business accomplished, and what might its future hold? Listen in as professors reflect on founding principles, frontier technologies, and the magic that makes the GSB the place it is — and shapes what it aspires to be. Learn more about the Stanford GSB Centennial See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

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Stanford GSB

Top programas

David Rubenstein on Leading the Parade

Our AI Future: From Abundance to Apocalypse

Daniela Amodei Says Curiosity Is Underrated

An AI@GSB Special: Demis Hassabis Thinks We’re in the ‘Foothills of the Singularity’

What AI Can’t Do — And Why

What We Actually Learn From Experience

How Dating and Sports Explain the Job Market

Ken Griffin Still Checks His P&L

The Paradox of Masculinity

GSB at 100: “The Magic”

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