Silicon Valley Girl: AI, Tech and Career Growth - Godmother of AI: The Missing Piece of Intelligence LLMs Can't See | Fei-Fei Li

Episode Date: August 14, 2026

What if the most powerful language models on Earthare missing the one piece that makes intelligence real?Fei-Fei Li is the "Godmother of AI" who built thedataset that made modern artificial intelligencepossible, spent years leading Stanford's AI Lab,and now runs World Labs, a $1 billion startupbuilding the next frontier of AI.Fei-Fei Li reveals the missing piece of intelligencethat language models can't see, the four abilitiesthat make it up, and what her billion-dollar startupis racing to build to solve it.Listen to the full episode here!Spotify:https://open.spotify.com/episode/1FvQHmEJoGUARR2EY6AEWk?si=5Cg_cgN4RaiaC4UkIDaH-AApple: https://podcasts.apple.com/il/podcast/silicon-valley-girl-ai-tech-and-career-growth/id1819090545?i=1000774171967Watch the full episode on YouTube: https://youtu.be/subu-xHrp1w?si=2nyuRfaTPdHTs8s-

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Oh, man. Shop back to school at IKEA. You know what I think will help this conversation? Because when I'm thinking about my kids' education, I want to imagine a workplace where are they going to be. So when I was growing up, the workplace says, big company, you're doing this. And so in order to get there, you need to study this, this and that. Can you paint me a picture of a workplace or a company in 10 years? What does it look like?

What should be people be preparing for? Agency. I think AI will give people more agency. So a lot of the future of work, I think will rely on people who knows, who know how to use this tools in very effective way. So let me give you a concrete example. One of the very coveted jobs in Silicon Valley in the past 20 years is product manager. You know, there's a lot of conversations of the shifting nature of product management jobs. It used to be 10 years ago, fairly standard product manager's job is more the thread between users, markets, and engineers.

They're more like conductors. They don't have to code. They fairly often, they were not software engineers. So if they want a prototype, they go to a designer, they go to a software engineer, they get a prototype, and then they send the prototype to users. and they listen to the users and synthesize the feedback. And that life cycle of product management might take typically months, you know, in a company. Today, if you look at the job of product manager, actually a lot of companies are experimenting with different things. But there are some fundamental changes.

A lot of product managers just now codes themselves. They don't have to wait to prototype from a team of people. They can use AI to design something very simple and vibe code. So that part shortens the lifecycle. Doesn't mean we should get rid of designers or software engineer, but it just saves time. And so that software engineer and designers can do much more sophisticated work. Also, user side, things are shifting. AI can actually simulate user behaviors.

And there are much more efficient ways to reach to the users, to close the loop with users. So I'm looking at these young product managers, and when I look to hire them, I look for those who are riding the wave of changes. I don't look for those product managers who are still talking. about the textbook workflow of even five years ago. So what I think the future of companies, there's a lot to imagine and depending on the company, from healthcare to education to whatever industry. But I think our workforce will be much more empowered

or can be much more empowered by powerful tools like AI. So that personal agency, creativity, and also the boundaries of what a person can do and cannot do is just a lot more blurred and lowered. So to me, that's going to just fundamentally shift the structure of corporate America. And every student today should try to imagine who they want to be in that new structure. It feels like you're describing entrepreneurs within workspace. Or either you're an entrepreneur or you're an entrepreneur with an organization, which means you're handling multiple things and you're responsible for multiple things. I mean, my hypothesis on this, you will get a barbell effect.

And this is what we are seeing at Masterclass, where you have one, one group that are becoming the specialists. And it used to be, like I remember in school, like I was told to pick one area and just go deep in that and that's how I build a long-term career. I think that's eroding, except if you're in the top one, if you're like the actual best. What I mean by this is if I'm a copywriter, if I'm an okay one, anybody that now uses an LLM can do a decent job at that. But if you're the best in the world at it, or if you're in the top 1%, I can't beat you at it. And so we're seeing, A, the rise of people that are a specialist that are very good of their thing. And I think that extends to tons of crafts.

And then the other role we're seeing is this high agency generalist who's able to do lots of different things well and has really good skills on the judgment side, on the agency side. And those people, when you see them interact, is really neat because they then interact with somebody who's in the top 1% at their craft. And they're like, whoa, I couldn't do that. Right. And so my guess is that it's a bifurcation of those specialists and the people that can do lots of things well. This episode is brought to you by Accenture. When your advertising operations fall out of sync, everything else follows. Spotify and Accenture are working together.

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And I agree with you. I think both, whether you're on the specialist side or generalist side, you both have agency. Yes, that's that's died. And you should both be able to use tools in ways that's uniquely creative and deep, right? I'm already seeing this, right? For example, designers, you know, they bring so much human creativity, but I see some of them use all kinds of AI tools. In ways I cannot personally imagine. So I know that's where their craftsmanship comes.

And also the word entrepreneurial, in Silicon Valley, that's almost like I'm going to do a Delaware Incorporated startup. That's the label entrepreneur. And I disagree. I think the word entrepreneur is very much a synonym to agency. You know, it doesn't matter. You can be a doctor, specialty doctor. You can be a K-12 teacher. But agency is the key.

And in the face of a technology that is so cognitively advanced, be brave. Have your human agency and command that technology. Use that technology. Get familiar with that technology. Don't be afraid. Don't shy away from it because that's where the wheels of history is turning towards the future. And I think everybody, it doesn't have to be a Silicon Valley founder. Everybody can be entrepreneurial for their craftsmanship or whatever they want to do. You mentioned so many tools, like use tools, use tools. Can you give me an example of some of the tools that have been transformational to your job? Obviously, all kinds of, from Chad GPT to Gemini to Cloud, I use it in many different ways. They have so many features from helping me to study some deep topics or to have a conversation. Here's a fun example.

I'm in charge of laundry in my household. So every weekend, I have to do loads and loads of laundry. And it used to be my audiobook time, but sometimes I get bored just listening to audiobook. And just about a few months ago, I realized I could have a conversation of a deep topic with AI as I was just folding laundry. And that has been so much fun. Somehow it's even more motivating for me to go fold laundry because I can have me time with AI to learn anything I want. And of course, software engineering has been completely transformed. And also, you know, on the art and design side, I mean, World Labs, we are creating models to help our creators and to imagine 3D worlds and all that.

So we also see change in the creative world. Once again, that's also a very contentious area because some companies have positioned AI's creative tools as if it's a replacement. And I just deeply, deeply protest that positioning. I think that human creativity, even just on the visual side, human creativity is so vast, but even just on the visual design side, is profoundly intertwined. with our emotional intelligence, with the story we bring, with the values we bring, each creators bring. I just think AI is such a powerful tool to help them. Enhance us. Yeah.

They're, you know, express their creativity instead of to replace it. Totally. Do you feel AI can never be very smart until it figures out spatial intelligence? Yeah. So this is our work I'm doing now. world labs. So what is spatial intelligence? Spatial intelligence is a term that encompasses multiple abilities today that humans display in an environment like this one, 3D environment. If we look at movement, we call it 4D environment. We can understand what's going on. I see people, I see equipment. I see this beautiful home. This is the understanding part of spatial intelligence. We can reason if I want to go and, you know, go grab a bottle of water in the fridge,

I have to reason about the space, reason about I can go up the staircase, I can recognize the fridge, I reason about my movement, so that's reasoning. That's another part of spatial intelligence. A third part of spatial intelligence is generation, is that in my mind's eye, even though I'm not seeing your living, room. But I actually have a view of what that living room looks like. If I'm a more, better artist, I can actually generate a lot of visual 2D or 3D or 4D visual artifacts and pieces. So humans can generate a lot of space. And the fourth, last but not the least, that a part of spatial intelligence is interactivity,

is how I focus on interacting with the space, right? Like how, again, laundry folding, that's my favorite weekend activity these days. That's deeply spatial. How you fold each piece of garment and now you hand them in the closet and all that is highly interactive. So spatial intelligence is these four things, understanding, reasoning, generation, and interaction. And we are working on that.

We have made tremendous progress. I'm saying collective we. You know, today you use, say, nanobanana or if you use GPT image, that tool can actually help you to generate a lot of 2D imagery. It can actually explain to you what unknown flower is in your garden. That understanding is quite advanced. It can help you to reason. Now we can actually draw figures in AI tools.

The generation part, right now the more mature products on the 2D side, what World Labs is doing is on the 3D side. 3D is so fundamental for robotic interaction for truly controllable creativity, such as design, architecture, game development, VFX. So that's the piece we are working on. Is it separate from LLMs? Like, I mean, do LLMs have their limit and then world models step in? Yes and no.

I think they're complementary. You can think about humans. right, just as you were saying, to put a basketball in the hoop. First of all, that's such a fast action that people don't, like, sit there and think and talk in their head. But I do think that is a, even that act itself is a highly complex, intelligent moment where language reasoning come in because you probably, as an athlete, you are, you are clearly aware of this scoring this or missing this,

what it means to the game or to the moment. And some of that is probably going on in the language way. But seeing the court, seeing the other players, and aiming the ball, that is deeply spatial. And then orienting your body, like knowing how to make that move is deeply, physical. So many things we do in life is actually a mixture of language, linguistic, intelligence, spatial intelligence, and physical intelligence. So to me, they're very

complementary. They work together. I do deeply believe spatial is a huge piece of it. Evolution took 500 million plus years to get spatial intelligence to maturity. It took much shorter time for language intelligence. So it's a very profound, ancient, fundamental, intelligent capability of animals and humans. And how far are we from understanding the fullness of it, like 100% of? Wow. As a scientist, I never know what's 100% because science itself is pushing the boundaries of unknown. If the goal post is human intelligence, the challenges, we don't even know how far human intelligence is, right? We never know the boundary of human intelligence. But if you think the daily capability of humans, the average capabilities.

Laundry folding. Right. The cooking omelet, the laundry folding, the playing basketball, how far are we? We're not there yet. But is it going to take 100 years? I don't think so. My goal is we can get there in my lifetime. And I think a lot of people are working on that.

So that put a kind of abound, right? I don't think it will take 100 years. It might not even take 50 years, but it's not going to take one year either. Well, what is your estimate? When does Dr. Fayfayley retire from laundry folding on Sundays? How many years? Yesterday. Like I said, I don't know.

London Foley itself is also involves physical embodiment. So that also involves sensor technology and hardware technology. So that goes a little bit more complex. But again, I'm hoping it's our lifetime. Yeah, me too. As a mom, I'm hoping. I mean, I know this is a term that you avoid for a host of factors. But my hypothesis would be you can't get anywhere close to what AGI, which I know is the word that you avoid for host reasons, is you can't even get close to it until we do the spatial intelligence.

Because that's about that's to read people. That's to interact in the world. Yeah. You know, look, I'm not going to find the popularity of this word. It's just as a scholar, we always, the field in the, in the. The academic world is called artificial intelligence. It's not scientifically, rigorously clear what the G means here. But whatever, that's just a word.

It's just a nickname, I guess. Yeah, I agree with you, David. I think AI or intelligence is complex. I don't think the picture of AI will be complete without spatial intelligence. If you want to stay ahead in the AI era, follow Silicon Valley Girl podcast on your favorite platform. New episode every week on AI careers and how to not get left behind.