This week on If/Then 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 Stanford GSB celebrates its first century and looks around the corner to what the next 100 years may hold.

On this episode of GSB at 100, you’ll step inside the classrooms where teaching sparks transformation.

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.

This week on [If/Then or 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 Stanford GSB celebrates its first century and looks around the corner to what the next 100 years may hold.

On this episode of GSB at 100, you’ll hear from the dedicated and accomplished staff members who work behind the scenes to make Stanford GSB a community unlike anywhere else in the world.

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.

This week on If/Then, we’re sharing an episode of What’s Your Problem?, a show from Pushkin Industries where entrepreneurs, engineers, and scientists talk about the future they’re trying to build—and the problems they must solve to get there. Hosted by former Planet Money co-host Jacob Goldstein, each conversation explores the challenges and breakthroughs shaping the next wave of innovation.

In this episode, Goldstein speaks with Fei-Fei Li, Stanford computer scientist, former Chief Scientist of AI and Machine Learning at Google, and one of the most influential figures in the field of computer vision. Li reflects on her pioneering work developing ImageNet, the massive dataset that helped spark the modern AI revolution, and the “north star” questions that have guided her research from neuroscience to machine learning.

Together, they trace how a single insight about how humans see the world led to a paradigm shift in artificial intelligence—and how Li’s vision continues to shape the way we teach machines to see, learn, and collaborate with us.

More Resources:

    •  Fei Fei Li

   •  Stanford Institute for Human-Centered Artificial Intelligence (HAI)

    •  ImageNet

    •  What’s Your Problem?

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society.

Chapters: 

(00:00:00) Introducing “What’s Your Problem?”

Kevin Cool introduces the Pushkin Industries podcast hosted by Jacob Goldstein.

00:00:45 — What Is Computer Vision?

Jacob Goldstein and Fei-Fei Li explain how machines learn to see and interpret images.

00:03:18 — Real-World Uses of AI Vision

Li shares examples from healthcare, robotics, and environmental science.

00:05:06 — Discovering the Science of Seeing

How human vision research inspired Li’s lifelong “north star” in AI.

00:09:56 — Creating ImageNet

Li builds a massive image database that transforms computer vision research.

00:13:29 — Defining 30,000 Visual Concepts

How cognitive science helped shape ImageNet’s massive scale.

00:16:41 — Building the Dataset by Hand

Li's team uses global crowdsourcing to label millions of images.

00:19:38 — The 2012 Breakthrough

Jeff Hinton’s neural network shatters records and sparks the deep learning era.

00:22:19 — Data Meets Hardware

Li reflects on how big data and GPUs converged to power modern AI.

00:24:55 — Lightning Round with Fei-Fei Li

Quick insights on resilience, mentorship, and the future of human-AI collaboration.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on If/Then, 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.

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society. Each episode features an interview with a Stanford GSB faculty member.

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.

This week on If/Then, we’re sharing an episode of View From The Top: The Podcast, an audio series featuring leaders from around the world in conversation with MBA students. Recorded live at the CEMEX Auditorium at Stanford Graduate School of Business, episodes feature insights on effective leadership, the values that guide it, and lessons learned along the way.

Lisa Su, the chair and CEO of Advanced Micro Devices (AMD), leads one of the world’s most influential technology companies, a pioneer in high-performance computing and designer of chips that power everything from cellphones to supercomputers.

Su joins Michael Liu, MBA ’25, to talk about what it takes to stay on the cutting edge of technology, the tremendous potential of artificial intelligence, and why her superpower may be her commitment to learning.

“Careers are very much by chance,” Su says. “The nice thing about my early career is I was lucky enough to have bosses who asked me all the time, ‘What do you want to be when you grow up?’ And I was like, ‘I don't know. Let me think about [it]...what I like to believe is the ability to learn at each step was what really helped me in my career.”

This conversation was recorded on February 24, 2025. 

More Resources:

    •  Lisa Su

    •  GSB Insights 

    •  View From The Top 

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society.

Chapters: 

(00:00:00) Introduction

Kevin Cool introduces a summer spotlight on other podcasts, featuring View from the Top.

(00:00:59) Meet Lisa Su

Michael Liu introduces Lisa Su, AMD CEO, and highlights her career transformation.

(00:04:13) Growing Up & MIT Years

Lisa reflects on her immigrant upbringing and her journey through three degrees at MIT.

(00:05:43) Discovering Semiconductors

A part-time lab job at MIT ignites Lisa’s passion for chip technology.

(00:07:21) From Engineer to Leader

Lisa describes her transition from technical work to managing people and projects.

(00:11:19) Tackling Hard Problems

How curiosity and teamwork help Lisa embrace high-stakes technical challenges.

(00:13:40) Betting on Talent

Lisa recounts moments when she was given a chance—and how she now pays that forward.

(00:17:03) Becoming CEO at AMD

What brought Lisa to AMD and the unexpected call to lead the company.

(00:21:51) Strategy in a Turnaround

How AMD focused on high-performance computing and long-term bets.

(00:25:41) Cultural Shift at AMD

Lisa outlines how AMD’s culture became collaborative, ambitious, and learning-driven.

(00:27:19) AI & Global Tech Politics

The complex intersection of AI innovation and geopolitical regulation.

(00:32:37) Open vs. Closed AI Platforms

AMD’s open-source AI approach with NVIDIA’s more vertical model.

(00:38:54) Future Vision & Final Reflections

Lisa offers advice to MBAs and shares what she wants her legacy at AMD to be.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

 As we celebrate the conclusion of the second season of the If/Then podcast, we present a bonus episode featuring Deborah H. Gruenfeld, the Joseph McDonald Professor and Professor of Organizational Behavior and a Senior Associate Dean for Academic Affairs at Stanford Graduate School of Business. 

Gruenfeld, who appeared on the first season of If/Then in an award-winning episode about hierarchies and the nature of power, returned to the studio to share her thoughts on the value of academic research and its impact on individuals and organizations. 

“The nice thing about research is that it provides tools and methods and an approach to learn about what’s true in the world, taking into account that what we learn from firsthand experience is not reliable,” she says. “Research helps us build a body of knowledge about what's actually true that we can trust.”

This episode was recorded on July 16, 2025.

Related Content:

• Deborah H. Gruenfeld, faculty profile
• Why Research Matters
• Why I Research: Findings Fueled by the Head and the Heart

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society. Each episode features an interview with a Stanford GSB faculty member.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on If/Then, we’re sharing an episode of The Future of Everything, a podcast hosted by Stanford School of Engineering professor and friend of the show Russ Altman.

Everyone has goals — some are monumental, others modest — but every goal matters. Szu-chi Huang, an associate professor of marketing at Stanford Graduate School of Business, is an expert on sustaining enthusiasm for individuals, customers, and employees across global corporations and organizations.

On this episode, Huang shares what it takes to stay motivated over time — not just at the beginning of a goal, when energy runs high, or at the end, when the finish line is in sight, but through the toughest part: the middle. She explains why motivation is a dynamic process that requires different tools at different stages, and offers practical advice drawn from her research on everything from retirement savings and loyalty programs to children’s health and social apps. Along the way, she and Altman explore how purpose, progress, and even a little social pressure can help us keep going — and how AI might someday coach us through.

More Resources:

•  Szu-chi Huang, faculty profile & If/Then episode
•  Russ Altman, faculty profile
•  The Future of Everything

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society.

Chapters:

(00:00:00) Introduction

Russ Altman introduces Szu-Chi Huang, professor of marketing at Stanford GSB.

(00:03:31) Studying Motivation

Szu-chi shares what led her to study motivational science

(00:04:03) Defining Motivation

Motivation as the drive to close the gap between current and ideal self.

(00:04:57) The Science of Motivation

Studying motivation through behavioral and neurological data.

(00:05:48) Why It Matters in Business

How motivation science applies to leaders, teams, and customers.

(00:06:39) Motivation Framework

The strategies needed in order to stay motivated over time.

(00:07:42) The Mindset of Motivation

The different mindsets needed throughout the stages of motivation.

(00:09:21) Motivating Kids to Choose Healthy

A Collaboration with UNICEF to study what motivates children.

(00:10:55) Gamified Coupons in Panama

A study using gamified coupons to influence children's food choices.

(00:14:26) Loyalty Programs as Motivation

How customer reward programs act as structured goal journeys.

(00:16:47) Progress Versus Purpose

The different incentives needed in each stage of loyalty programs.

(00:18:29) Retirement Saving Lessons

How financial institutions apply motivational science to long-term goals.

(00:21:12) Motivation in Social Context

The role of social connections in goal pursuit and sustaining motivation.

(00:26:10) Designing Apps for Motivation

How redesigning user interfaces can help users stay motivated.

(00:27:20) AI as a Motivation Coach

Using AI to personalize feedback across all stages of goal pursuit.

(00:30:09) Starting and Sustaining a Goal

Practical strategies for launching and sustaining a goal.

(00:31:57) Conclusion

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

This week on If/Then, we’re sharing an episode of Think Fast, Talk Smart, a podcast hosted by Stanford Graduate School of Business lecturer and friend of the show, Matt Abrahams.

How do you communicate with others when you’re confused yourself? For fellow GSB lecturer Rob Siegel, leadership isn’t about avoiding uncertainty: it’s about embracing the clarity that ambiguity can bring.

In his latest book, “The Systems Leader: Mastering the Cross Pressures That Make or Break Today's Companies,” Siegel explores how leaders today are “living in dualities,” caught between managing existing processes and adapting to emerging disruptions. “The sooner we get comfortable with [change] in the sense of ‘I don't have to like it, but I can deal with it,’ then [we can] lead our teams and give them the calm to know they can get through this.”

On this episode of Think Fast, Talk Smart, Siegel and Abrahams explore how to communicate effectively amid constant change. From preparation strategies for spontaneous speaking to building trust through candid conversations, you'll hear practical tips for communicating with clarity when nothing is certain but change.

More Resources:

• Rob Siegel, faculty profile
• Matt Abrahams, faculty profile
• Think Fast Talk Smart 

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society. For a full transcript of this episode, visit our podcast’s website.

Chapters: 

(00:00:00) Introduction

Kevin Cool previews season three and introduces a featured episode from Think Fast Talk Smart.

(00:00:40) Introduction to Rob Siegel

Matt Abrahams welcomes Rob Siegel and introduces his new book The Systems Leader.

(00:01:34) Teaching in a Time of Chaos

Rob explains how his course on systems leadership evolved amid global uncertainty and AI disruption.

(00:02:39) Frameworks for Modern Leadership

Rob outlines key leadership frameworks, including five cross pressures from his book.

(00:04:01) Communication’s Role in Leadership

They discuss how facts, context, and communication help leaders navigate uncertainty.

(00:06:18) Balancing Innovation and Execution

The conversation turns to managing the tension between creative innovation and operational goals.

(00:08:00) Leading Through Ambiguity

They explore how leaders can embrace ambiguity as a normal, strategic part of leadership.

(00:09:41) Navigating Short- vs Long-Term Thinking

Rob breaks down how leaders balance quarterly goals with long-term planning and vision.

(00:12:32) Strength and Empathy in Leadership

Matt and Rob examine how leaders can balance warmth and strength in team relationships.

(00:16:03) How to Keep Students Engaged

Rob shares his best practices for engaging students through preparation, spontaneity, and challenge.

(00:18:55) Building Trust Through Genuine Care

They reflect on the role of genuine interest in others as a foundation for trust and communication.

(00:21:35) Communication Role Models and Recipes

Rob names Irv Beck as a communicator he admires and shares his top three ingredients for great communication.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

Do you stick to the rules or do you roll through stop signs? Whether you’re “tight” or “loose” — how closely you adhere to social norms — has major implications for your life at home and at work. 

“To be effective, we want to be ambidextrous,” says Michele Gelfand, the John H. Scully Professor in Cross-Cultural Management and Professor of Organizational Behavior at Stanford Graduate School of Business. “Even if we might lean tight or loose, we want to be able to create a context where we can have both tight and loose elements.”

Sophisticated strategies will fail if they don’t account for deeply embedded norms, and Gelfand breaks down why the adage that “culture eats strategy for breakfast” is more than just a management cliché. 

“From the moment we wake up to the moment we go to sleep, [culture is] affecting everything from our politics to our parenting,” Gelfand says. “But we take it for granted — we don’t even think about it. So it’s kind of invisible. And that’s a pretty profound puzzle.”   

What’s the biggest cultural adjustment you’ve made? Share your story at [email protected].

This episode was recorded on January 28, 2025.

Related Content:

• Faculty profile
• Psst — Wanna Know Why Gossip Has Evolved in Every Human Society?
• Class Takeaways — The Art of Negotiation
• Why the Pandemic Slammed “Loose” Countries Like the U.S.

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society. Each episode features an interview with a Stanford GSB faculty member.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

AI has the potential to reshape medicine. But translating its promise into solutions for providers and patients is a high-stakes challenge.

“There’s a lot more problems than solutions available,” says Mohsen Bayati, the Carl and Marilynn Thoma Professor of Operations, Information & Technology at Stanford Graduate School of Business. “So it’s ripe for innovation.”

From trust and privacy to hallucination and data quality, the complications are significant. Bayati says that safely and effectively integrating AI into an enormous industry that treats people in their most vulnerable moments requires safety guardrails, human oversight, and maybe even a leap of faith. 

“[We] need to have patience with the benefits of these systems,” he says.

Are you ready to interact with artificial intelligence at the doctor’s office? Sound off at [email protected].

This episode was recorded on March 4, 2025.

Related Content:

• Mohsen Bayati faculty profile
• A Peek Inside Doctors’ Notes Reveals Symptoms of Burnout
• Many Health Care Workers Are Emotionally Exhausted, and Technology May Be to Blame
• Why Hospitals Underreport the Number of Patients They Infect

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society. Each episode features an interview with a Stanford GSB faculty member.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.

“The way I think about trying to anticipate and shape the AI future requires us to take a step back and ask ourselves first, ‘What does this technology do? What does it enable?’” reflects Amir Goldberg, a professor of organizational behavior at Stanford Graduate School of Business. “That’s very different from asking ourselves, ‘How is the technology implemented?’” 

From locating the origins of innovation to identifying hidden barriers blocking new ideas, Goldberg presents a framework for harnessing novel technological capabilities like AI — capabilities that are essential for staying ahead of the competition.  

“The data/AI train is leaving the station,” he says. “The problem is, there are many trains — and some are going off a cliff.”   

Is your organization exploring how to transform its experience into data? Tell us your story at [email protected].

This episode was recorded on February 5, 2025.

Related Content:

• Amir Goldberg faculty profile
• To Discover Breakthrough Ideas, Look to the Outsiders
• Is Your Business Ready to Jump Into A.I.? Read This First.
• Why Investors Throw Money at Eccentric CEO

If/Then is a podcast from Stanford Graduate School of Business that examines research findings that can help us navigate the complex issues we face in business, leadership, and society. Each episode features an interview with a Stanford GSB faculty member.

See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.