Rapid Response: Inside Intel’s AI ambitions, w/CEO Pat Gelsinger

14 Dec 2023 · 21 min

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Podcast Summary: Masters of Scale - Episode: Rapid Response: Inside Intel’s AI ambitions, w/CEO Pat Gelsinger

Overview In this episode of Masters of Scale, host Bob Safian interviews Pat Gelsinger, CEO of Intel, to discuss the company's AI ambitions and strategies to regain its competitive edge against rivals like NVIDIA. The conversation covers Intel's new initiatives, Gelsinger's leadership insights, and the broader implications of AI in business and technology.

Key Themes

  1. AI Boom and Intel's Strategy
  2. Current Landscape: The rise of AI in 2023 has placed Intel in a competitive struggle against NVIDIA, which has become a leading player in AI technology.
  3. AI Everywhere Strategy: Intel is announcing the world's first AI PC, aiming to re-establish its dominance in the tech sector. Gelsinger emphasizes that the race for AI is just beginning.
  1. Introduction of the AI PC
  2. Evolution of PCs: Gelsinger compares the AI PC to previous technological milestones like Centrino, highlighting its ability to transform user experiences and workflows.
  3. Future Capabilities: The AI PC will offer advanced features such as conversation summarization, task automation, and improved user interaction through natural language processing.
  1. Concept of Siliconomy
  2. Definition: Gelsinger introduces the term "siliconomy," emphasizing the central role of silicon in the economy and its critical importance for future technological advancements.
  3. Geopolitical Implications: He notes how geopolitical dynamics around technology supply chains will shape global relations in the coming decades.
  1. Intel vs. NVIDIA
  2. Competitive Positioning: Gelsinger acknowledges NVIDIA's success but emphasizes Intel's long-term strategy and commitment to open systems in AI development.
  3. Manufacturing Edge: Unlike NVIDIA, which outsources chip manufacturing, Intel aims to lead in manufacturing at scale, a crucial aspect of its business strategy.

Leadership Insights

  • Lessons from Past Experiences: Gelsinger shared personal insights from his previous exit from Intel, describing it as a transformative period that shaped his leadership approach.
  • Focus on Core Business: He advises other leaders to identify their core operational areas and leverage AI to enhance productivity and efficiency.
  1. Future Business Practices
  2. AI Implementation: Gelsinger emphasizes the need for companies to integrate AI into their operations, stating that firms not adapting will likely fall behind their competitors.
  3. Priorities for Business Leaders: He outlines four critical areas for applying AI: silicon design, systems validation, manufacturing, and software development.

Conclusion Pat Gelsinger's passion for technology and commitment to rebuilding Intel's legacy is evident throughout the conversation. He encourages a proactive approach to embracing AI and emphasizes the importance of adaptability in an ever-evolving technological landscape.

Key Takeaways

  • AI is Transformative: The integration of AI is not an optional enhancement but a necessity for competitiveness.
  • Long-Term Perspective: The race for AI is just beginning, and businesses should prepare for sustained evolution in technology.
  • Personal Growth from Adversity: Challenges and failures often lead to significant personal and professional growth, a theme Gelsinger embodies in his leadership journey.

Final Thoughts Gelsinger's reflections on Intel's path forward and his insights into the broader implications of AI for business are crucial for leaders looking to navigate the complexities of technological advancement in the modern age.

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Transcript

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1:29Your connectivity and communication. Everything's becoming more digital. And everything digital runs on semiconductors. And to me, that's what the siliconomy is about. Fundamentally, everything on the planet needs silicon going forward. Never was there a vote taken in Congress to get rid of the industry. But there were votes taken in China, Taiwan, Korea, Japan. to get this industry. And shifting that unique role that Intel played, that's a really, really big deal.

2:13That's Pat Gelsinger, the CEO of Intel. Intel's just announced a new AI everywhere strategy, including what it calls the world's first AI PC in a bid to reestablish its dominance in the tech industry. I'm Bob Safian, former editor of Fast Company, founder of the Flux Group, and host of Masters of Scale Rapid Response. I wanted to talk with Pat because the rise in AI offers Intel both opportunity and challenge. Competitor NVIDIA has become an AI darling with Intel playing catch-up, yet also having its own advantages. Since returning to Intel as CEO, Pat has channeled the spirit of legendary leader Andy Grove, who navigated the company through multiple transitions.

2:59Pat shares why the race for AI's future is still in early days and how Intel is preparing itself for that future. Plus, his advice on what every business should be doing now to strategically focus on AI. Pat also explains how he was, quote, wrecked when he was pushed out of Intel a decade ago, but that what he learned in the process has been essential and how he's applying it today. Let's get to it.

3:39I'm Bob Safian, and I'm here with Intel CEO Pat Gelsinger. Pat, thanks for joining us. My pleasure, Bob. So we're just about a year since the public release of ChatGPT, and yet it's felt like we're in a new era. The attention on generative AI, on open AI, it's been intense. Today, you're hosting an AI Everywhere event, where, among other things, you're announcing the first ever AI personal computer to be on store shelves this holiday season. That's an unusually quick timeframe for the semiconductor and electronics industry to turn that fast. What is an AI PC? I always enjoy the Andy Grove quote, the PC, the ultimate Darwinian machine.

4:28You know, it just keeps evolving. And, you know, it used to be big, beige, and boring. Then it became a laptop and Wi-Fi. You know, it's just been evolving over time. And we think of the AI PC as this next major evolutionary step of the PC. And what does it mean? Well, all of a sudden, you embrace the AI use cases as the core driver. And I've called it a Centrino-like moment, right? And if you remember, before Centrino, we had Wi-Fi hotspots, but nobody used them. And there were two coffee shops in the nation that provided Wi-Fi. And then Centrino all of a sudden made Wi-Fi everywhere. And now, right, you know, there isn't a proper kid or college student.

5:12You know, I mean, Wi-Fi to them is more important than bread and water itself. We think of the AI PC as that same ushering in major new use cases that it'll drive the change in form factors of the PC, new applications. In the future, we'll expect that, hey, you know, my AI PC records the conversation. It summarizes the conversation. It translates the conversation. It gives us new user experiences and how we communicate. It will also do work on our behalf. Give me a draft legal brief on this subject. Give me my AI bot agent for today. When was the last time I talked to Bob? Make me smarter on the things we discussed before and the topics I should raise from the day.

5:58All of those will be done on my behalf. My medical experiences, my financial experiences, all of those will be augmented. intelligence as a result of the AI PC. You know, why have we been bound to the keyboard? In the future, I'll just be able to talk in my natural language more proficiently and effectively to my PC, which will enable new evolutions of the form factor of the PC as well. All of this will be the AI PC generation. And the new AI PC that you're announcing now, so it's both hardware that enables software that can do some of the things that you're describing. We're not all the way there yet.

6:39Yeah, this is the beginning. And we've been working on these technologies for three, four years. So it isn't just today. You know, as I like to say, AI was an overnight 40-year success because the core ideas of AI, and we went through multiple AI winters, you know, they've been bumbling along for decades. And then all of a sudden with, you know, major breakthroughs in vision and large language models and chat GPT, all of a sudden it got good enough. You know, we had enough data, enough compute, the algorithms got mature, and all of a sudden it's doing amazing things. But the next two years, we're going to have the next chat GPT.

7:19And then two years later, the next one, and the next one, and the next one. You know, we see a decade or more of continued evolution. You know, we have the next two, three generations already well underway where we enhance the neural capabilities, the audio-visual capabilities, and bring far more unique capacity for the AI workload that everybody's PC will enable for them. Intel started talking earlier this fall about something you called the siliconomy. There's nothing about being silly. It's about silicon, right? Can you explain what the siliconomy is about for you? Yeah. And, you know, I like to think about it in, you know, three different dimensions, Bob.

8:01One is the core geopolitics of the planet, where oil reserves have defined the geopolitics of the planet for the last five decades, where economies are built, you know, how nation states position each other, where silicon and technology supply chains is more important for the next five decades. So that's one aspect of the sil economy. Second is the pure economics, you know, where today, you know, in the order of 20 % of the entire GDP of the nation, right, and almost 50 % of the growth in the GDP is a direct result of technology, right? So, and everything technology, everything digital runs on silicon.

8:46So, you see it as truly the underlayment of economic growth, right, for the nation, and that became acutely visible through COVID when all of a sudden the supply chains got disrupted, right? And a$30 ,000 car manufacturing plant couldn't proceed because you didn't have a$1 semiconductor. But the third aspect is the future of society itself, right? And as we think about the role of AI, we think about the role of social networks and online experiences, I often ask audiences, what portion of your life is not becoming more digital, right? There's your healthcare, there's your finances, or your social networks, your autonomous vehicles, right?

9:29Your connectivity and communication, everything's becoming more digital and everything digital runs on semiconductors. And to me, that's what the Siliconomy is about. You know, it's maybe an interesting word play, but fundamentally everything on the planet needs Silicon going forward. And that is the essence of what the Siliconomy is describing. One of your colleagues said to me, it's been a crazy time for Intel, describing 2023 and all the buzz in the industry anchored around NVIDIA, which is kind of a difficult tide to turn or to put yourself into. What's the difference between Intel and NVIDIA?

10:11Yeah. And, you know, we think about, you know, this role of AI. Hey, obviously, NVIDIA has uniquely positioned itself to be a beneficiary in that. And they've worked hard in this area. But we think of the AI domain as, you know, this is a long game. And we're, you know, in the first or second inning, if we can use a baseball analogy. So we have a long way to go. And we've defined our strategy in AI as AI everywhere. We are the volume PC player. We are the one who's been defining the category. You know, we put AI at the edge, every device, every store, every manufacturing supply chain. That's what we do.

10:50And we're going to be competing for those highest end inference and training systems as well. We're very respectful of what NVIDIA has done. But we also say, you know, the world needs open systems around AI. And that's what we do as a company. The second aspect of our strategy here is very much to be a manufacturer at scale. NVIDIA relies on other people to manufacture their chips. We manufacture chips, right? There's only two companies in the world, we believe, that can be that leading-edge technology manufacturer at scale. And, you know, one of those is in Asia. One of them is an American company who's done our R &D here in the U.S.

11:30We've been super involved in things like Chips Act. And frankly, I want to manufacture for NVIDIA, for AMD, for Google, for Amazon. We want to be that supply chain provider because the world needs a Western supply chain at scale. And we see the AI surge as driving tremendous interest in Intel as a manufacturer, as a foundry for those opportunities as well. Tell me, what do people misunderstand about the CHIPS Act or not appreciate about it? most critical piece of industrial policy legislation in U.S. and in Europe to rebuild the industry. You know, this most critical, everything going digital industry.

12:14And hey, never was there a vote taken in Congress to get rid of the industry, but there were votes taken in China, Taiwan, Korea, Japan to get this industry. And shifting that in two continents and the unique role that Intel played as part of accomplishing that, that's a really, really big deal and important trajectory that we've reset. I believe that the industry, as a result, will look back on what we do in the last year and say, that was the turning point for the entirety of the semiconductor industry. And we will be living on that for the next five decades. Listening to Pat, you get a sense for how deeply central technology is to our world and how early we are in AI development.

13:02So how should business leaders be acting and planning to stay up with the AI curve? We'll hear Pat's strategies and advice after a quick break. Real leaders don't back down when the stakes are high. They innovate, they push forward, and then they take the stage at the Masters of Scale Summit. Join us in San Francisco, October 7th to 9th, to hear from the CEO of the New York Times, scientists using cutting-edge technology to find cures, the leader of crypto powerhouse Coinbase, a retired four-star general, and many, many more. Apply now at mastersofscale.com slash apply25. That's mastersofscale.com slash apply25.

13:48If you're ready to take your startup from idea to impact, then AWS is your launchpad. From data storage to machine learning to secure app hosting, AWS gives you the tech trusted by the world's fastest scaling startups. And here's the best part. Join AWS Activate today and you could score up to$100 ,000 in AWS credits tailored to your stage and network. Go to aws.amazon.com slash activate and start building. Expanding your business in the U.S. can feel like a maze. Every state has its own payroll, benefits, and compliance rules, which can pull your focus away from growth. That's why founders use Deal.

14:30Deal is the professional employer organization, or PEO, that gives you a dedicated HR expert plus Fortune 500 level benefits for your team. The National Association of PEOs says businesses can grow twice as fast if they use one. So if you're scaling, make it simple with Deal. Go to deel.com slash MOS and get up to three months free. Before the break, we hear to Intel CEO Pat Gelsinger explain how early we still are in AI development. Now he shares how he's adjusting practices inside Intel as a result of AI and his four priorities advice for other business leaders to keep themselves on course. Plus, lessons he learned after being pushed out of Intel earlier in his career and how he's applying them now.

15:22I've spoken to a bunch of CEOs over the past year about AI and their enthusiasm is often matched by uncertainty about how and what changes to make now. You have customers across all kinds of industries. What kind of conversations are you having with other leaders and how do you help them think about what this transition to AI means? It really is understanding their business practices and where they can maximally apply AI to their business. And for instance, one of the initiatives that I have underway is how do I use AI inside of Intel? We probably have 120, 130 AI projects inside of Intel, a big company going on.

16:10But I've said, hey, these are my four things that I do more of than anything else. And I want to know how we're driving AI into those four things. And my four things are how we use it in silicon design, how we use it in systems and silicon validation, how I use it in manufacturing, automation, telemetry, maintenance aspects, and how I use it for software development. Those are my four. And I am personally reviewing those four on a regular basis. But I ask every business leader, what are your four? Where are the things that you do the most of that are most important to your competitiveness? And how are you putting AI to work in those areas?

16:56Because these are dramatic changes. When people can say, hey, my leading software developers are 10 times more productive when they're using co-pilot-like techniques. Okay, you better be figuring out how to do that if you're a software developer. One of the top tier consultant groups, you know, are 4x more productive if they're using AI techniques? Well, you better be figuring out how to use AI techniques in your consulting practice. And as we're launching the AI PC, one of the demonstrations that I'll be giving as part of it is, okay, this is how we're now putting a core ultra to work in our manufacturing line, right?

17:32I need the highest-end manufacturing PCs that are AI-capable for my manufacturing to be AI-enabled. Often when there are new areas, people want to kind of put that off at the side because they're worried about disrupting their current practices. If I'm hearing you, you're saying like, you need this. This is such an accelerant and a competitive advantage that if you don't have it in your core areas, you're going to have limitations. Yeah. And the numbers that people are demonstrating in terms of business practice transformation, automation efficiency, like Boston Consulting Group, one of our partners that we've worked with, they were demonstrating 10x productivity improvements on the part of their consultants being able to develop proposals for their clients.

18:2210x. You're not talking about little gains, huge gains. And if you're not doing that, well, trust me, one of your competitors is or a startup that wants to replace you will be. So you better be looking at it in the context of your core business practices and then saying, okay, how do we make this happen? You worked at Intel earlier in your career. You left for a while, and then you came back as CEO. How was Intel different when you returned than when you left? And were there things that you picked up and learned along at your other posts that you're most trying to apply now? When I left Intel, I was pushed out of the company.

19:05It wrecked me. I wanted to be the CEO. It was just one of those gut punch kind of periods. But when you go through that kind of experience, you also grow and learn. Right. And most of your growth and learning happens in your disappointment, in your pain, in your failures. So it began a period of great personal growth for me, personal maturity, leadership maturity, but also new skill development as well. Learning new cultures of companies. I am the first CEO of Intel that was a CEO before becoming the CEO of Intel. right? I brought a whole set of things, how to work with board of directors, how to speak to analysts, how to set vision.

19:51And, you know, I brought a software culture and a systems culture to my leadership capacity. And I came back to Intel that was, you know, mismanaged for over a decade. You know, I wanted to combine those new learnings with many of the things that Intel was traditionally great about. And I often talk about, we're going to get back to the Grovian culture, Right. And, you know, half the company knows exactly what I'm talking about when, you know, we say Andy Grove, you know, and his, you know, manic, you know, paranoid, survived, data driven, engineering centric culture. Half of the company has no idea what I'm talking about.

20:27You know, we are the company that puts Silicon into Silicon Valley. We are the stewards of Moore's law. We're not going to let Moore's law die until the periodic table is exhausted. And we have a lot of elements yet to go. You know, this deep passion that we truly are the shapers of chemistry and molecules that truly will change the lives of every human, every person on the planet in fundamental life-improving ways. That's the company that we're rebuilding. And it plays the seminal role in the nation in manufacturing and in the economic and security requirements of the nation for the future. And because of that, you know, there's just this resurgence of enthusiasm around the company.

21:15And once again, we're launching today the AI PC category because we did it once with the Centrino category. We did it once before that with a PC and we're going to do it again. That's the company that we are rebuilding and restoring. And the world needs us. The world wants us and we will deliver. It does sound like it's been an intense transition for you all the way through. and in some ways a good thing that it happened, even though it didn't feel that way at the time. Yeah, and hey, out of the greatest challenges and failures, that's when some of the greatest growth and opportunities emerge, right?

21:53The company is clearly humbler now and more customer-centric and the industry recognizes the unique capacity that we bring, but we also have to then go earn. As I like to say, we earned the industry's distrust. Now I have to rebuild and earn their trust into the future. And we're well on that journey to become the manufacturing technology, the standard bearer once again. And I think today's announcement is just a great milestone in accomplishing exactly that. Well, Pat, this has been great. Thanks so much for doing it. I really appreciate it. Very good. Listening to Pat, I'm struck by not just his enthusiasm about Intel and technology, but his enthusiasm about the idea of change.

22:40There's so much uncertainty about the direction of our world right now with debates about AI just one case in point. But on matters big and small, we can take more control and guide ourselves toward the future we want if we approach even the tough moments with passion and positivity. I'm Bob Safian. Thanks for listening. Meet Nicole Nicholas, Capital One Business customer and co-owner of Ansett Uncles, a plant-based restaurant and community space in Brooklyn, New York, that got its start from a need for unity. The inspiration, it was born from the desire to create a space that felt like home, where we can connect community culture, good food, and come together with family and friends.

23:22That's how we birthed aunts and uncles. Nicole and her husband, Mike, were fulfilling their dream of bringing people together out of their home kitchen. But they soon learned that the demand for community was greater than they knew. It became overwhelming and we were like, we need home, but not in our actual home. We realized that there was also a need in our community for something bigger in our neighborhood. So we had to find a place. Moving from a home operation into a storefront was a huge next step, but Nicole and Mike were able to take it on with the help of Capital One Business. It's not for the weak.

23:55As a small business, finding resources is super important because that's the way you'll be able to manage and scale. We would have never done that without having Capital One to be able to help us along the way. The cashback rewards are very helpful. You know, it just gave us that runway to be able to breathe a little bit. Then you get to focus on the cooking of the food and making the experience great. To learn more, go to CapitalOne.com slash business cards. Your company's data is everywhere, in systems, in silos, and across teams. But if your AI can't reach it, then that data isn't working for you.

24:31Every business has unique data. What really makes a difference is how you use it. IBM helps your AI access your data wherever it lives to change how you do business. Let's create smarter business. IBM. Masters of Scale Rapid Response is a Wait What original. I'm Bob Safian, your host and Masters of Scale's editor at large. Our executive producer is Chris McLeod. Our producers are Chris Gauthier, Adam Skuse, Alex Morris, Tucker Ligurski, and Masha Makotonina. Our music director is Ryan Holiday. Original music and sound design by Eduardo Rivera, Ryan Holiday, Hayes Holiday, and Nate Kinsella. Audio editing by Keith J.

25:18Nelson, Stephen Davies, Stephen Wells, Andrew Nault, Liam Jenkins, and Timothy Lou Lee. Mixing and mastering by Aaron Bastinelli and Brian Pugh. Our CEO and chairman of the board is Jeff Berman. Wait, what was co-founded by June Cohen and Darren Triff? Special thanks to Jodine D 'Orsay, Alfonso Bravo, Tim Cronin, Erica Flynn, Sarah Tartar, Katie Blasing, Marielle Carriker, Chinemio Zucuena, Colin Howarth, Brandon Klein, Sammy Aputa, Kelsey Saison, Louisa Velez, Nikki Williams, and Justin Winslow. Visit mastersofscale.com to find the transcript for this episode and to subscribe to our email newsletter.

From the publisher

The AI boom in 2023 left Intel chasing rival Nvidia, whose chips — and shares — have been in high demand. Like other laggards amid this year’s AI mania, Intel is now fighting back, announcing the first-ever AI PC. Intel’s CEO Pat Gelsinger sits down with Rapid Response host Bob Safian to discuss how the company is working to re-establish itself — and sharing lessons for leaders everywhere about the long-term trajectory of the AI wave and how to practically position yourself to ride it. Plus, Pat shares leadership insights from his unceremonious exit from Intel a decade ago, and how he’s applying those learnings now in his second tour of duty.

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