CEOInterviews.AI
Start App
Try: AI strategy tariffs earnings guidance layoffs interest rates growth

Alexandr Wang

Chief AI Officer; formerly Co-founder & CEO, Scale AI, Meta Platforms

Search every verified Alexandr Wang interview, podcast appearance, and on-the-record quote — each transcript cross-checked by AI and human review to confirm speaker identity. Alexandr Wang, Chief AI Officer at Meta, has been promoting the company's personal AI agent "Muse" in recent public appearances, including its launch in Japan following its initial rollout in the U.S. and Canada. In interviews, he described the early reception as exceeding expectations, noting widespread adoption and citing user cases such as trip planning and tea sourcing. He discussed the development of the underlying models, Muse Spark and Muse Wonder, emphasizing investments in pre-training, reinforcement learning, and multimodal capabilities tailored for personal assistant tasks like memory and focus. Wang also outlined potential business models for Muse, including subscriptions, additional token purchases, and enterprise applications. Wang has spoken about the creation of Meta Superintelligence Labs (MSL) and its strategy, which he said involved a complete talent reboot and a focus on small, highly capable teams with minimal bureaucracy. He described the decision-making process behind committing over $100 billion in capital expenditures before model performance was confirmed, attributing the project's direction to collaboration with Mark Zuckerberg and Nat Friedman. He compared the technical focus of models like Muse Wonder to competitors such as Fable and Astra, stating that Meta's models are intentionally developed in different directions. He also addressed trust and safety concerns related to consumer AI agents, distinguishing between levels of user privacy and security, and highlighted the launch of features like a Mac app, computer use capabilities, and the Muse Charm device announced at Meta Connect 2026.

Recent appearances

  • [Meta's "Number 2" on Muse landing in Japan] The odds for "personal superintelligence" against GPT and Claude / In tandem with Zuckerberg / "29-year-old" Chief AI Officer Alexandr Wang [1on1 Tech]

    [Notice] Japanese dubbing is now available. We have added AI-generated Japanese dubbed audio to this video. You can switch to the Japanese audio as follows. Please give it a try. How to switch audio: 1. "Settings (gear icon)" at the bottom right of the screen 2. "Audio track" 3. "Japanese" Please also tell us in the comments whether you would like AI dubbing to continue. Thank you very much. [Episode overview] "1on1 Tech" is a program that delivers cutting-edge tech stories in an easy-to-understand way. This episode's theme: [AI agent "Muse" arrives in Japan: we put questions directly to Me…

    Read the verified transcript → Watch on YouTube ↗

  • Muse Wonder: Zuckerberg and Wang's $100B AI

    As Meta scales its AI infrastructure past five gigawatts, Mark Zuckerberg (founder and CEO, Meta) and Alexandr Wang (Chief AI Officer, Meta Superintelligence Labs) join John for a pint to discuss the launch of Muse Wonder and the future of personal AI agents. In this episode, Mark and Alex open up about the creation of Meta Superintelligence Labs (MSL), the decision to execute a complete talent reboot, and what it really feels like to make a $100B+ CapEx commitment before knowing if the model will work. They dive deep into the architecture of Muse Wonder—including active memory, multimodal pe…

    Read the verified transcript → Watch on YouTube ↗

  • Muse Wonder: Zuckerberg and Wang's $100B AI

    As Meta scales its AI infrastructure past five gigawatts, Mark Zuckerberg (founder and CEO, Meta) and Alexandr Wang (Chief AI Officer, Meta Superintelligence Labs) join John for a pint to discuss the launch of Muse Wonder and the future of personal AI agents. In this episode, Mark and Alex open up about the creation of Meta Superintelligence Labs (MSL), the decision to execute a complete talent reboot, and what it really feels like to make a $100B+ CapEx commitment before knowing if the model will work. They dive deep into the architecture of Muse Wonder—including active memory, multimodal pe…

    Read the verified transcript → Watch on YouTube ↗

  • Creating Muse, Building Meta’s AI Lab & How to Win the AI Race | Alexandr Wang, Meta

    Alexandr Wang is the chief AI officer of Meta and co-founder of Scale AI. We talk about the seven-month effort to build Muse, why Meta focused on personal AI agents instead of coding, and how Mark Zuckerberg and Nat Friedman helped shape the product. Alexandr shares how Zuckerberg recruited him after Meta's Llama 4 setback, why he left Scale after nine years, and how he's rebuilding Meta's AI lab around small teams, exceptional talent, and minimal bureaucracy. We also discuss using memes to make a product go viral, the importance of having a single point of view, and why Alexandr believes AI c…

    Read the verified transcript → Watch on YouTube ↗

  • The Biggest Launch Since ChatGPT (Muse)

    What’s happening right now is a big deal. For more HUGE* Conversations with the most important leaders in science and tech, subscribe! The biggest AI launch since ChatGPT just happened... and Alexandr Wang and his team at Meta built it. Most people are using AI to answer questions, glorified Google Search. This is something totally different. It’s an "agent." It can make phonecalls, do tasks, for you. But for it to work, you have to trust it. First with your personal information. Then that it’s going to do what you actually want. And then that it’s not gonna, well, get out of control. All…

    Read the verified transcript → Watch on YouTube ↗

  • Meta Connect Keynote 2026

    We believe the future is for everyone, so we're putting superintelligence in everyone's hands. Check out our latest breakthrough technologies in AI, AI glasses, and VR in this year’s Meta Connect keynote. Subtitles generated by AI

    Read the verified transcript → Watch on YouTube ↗

  • Meta's Agent Swarm Beat 100 Engineers — It's Just Markdown Files & Cron Jobs (Alexandr Wang at YC)

    A swarm of AI agents beat a team of 100 engineers inside Meta — and the man who runs Meta Superintelligence Labs says the setup is just skills, markdown files, and cron jobs. Alexandr Wang — the founder Mark Zuckerberg paid $14.3 BILLION to bring in — sat down with Garry Tan at Y Combinator Startup School 2026. Everyone will clip the "once-in-a-civilization" quote. We pulled the 7 moments that actually change how you build, and fact-checked the wildest claims (his "8x cheaper than Opus" is really 4x on input, 5.9x on output — we show the math). FREE PDF — THE MECHA-GOLIATH BRIEF: every quote…

    Read the verified transcript → Watch on YouTube ↗

  • Alexandr Wang: “This is a Once-in-a-Civilization Opportunity”

    Alexandr Wang's advice to his 18-year-old self: develop your own internal compass for how the future will unfold, and hold conviction in it against the noise. At Startup School 2026, the Scale AI (YC S16) founder — now leading Meta's Superintelligence Labs — talks with Garry Tan about rebuilding a frontier lab from scratch, why talent density compounds, and how to spot the exponential worth betting your twenties on. Transcript: https://www.ycrootaccess.com/p/alexan... Apply to Y Combinator: https://www.ycombinator.com/apply Work at a startup: https://www.ycombinator.com/jobs Chapters: 00:…

    Read the verified transcript → Watch on YouTube ↗

  • Meta AI Chief Wang on Winning the Race in AI

    Alexandr Wang, Chief AI Officer at Meta discusses model development, infrastructure investment and AI competition with Bloomberg’s Kurt Wagner at Bloomberg Tech 2026 in San Francisco. -------- Subscribe to Bloomberg Live on YouTube:    / @bloomberg_live  

    Watch on YouTube ↗

  • The Most Expensive Hire In AI History Finally Talks

    Alex Wang has barely said a word in public since Mark Zuckerberg paid a fortune to bring him in and put him in charge of Meta's artificial intelligence push. 10 months later, the co-founder of Scale AI sits down with Ashlee Vance and Kylie Robison for his first long interview to explain what he has actually been doing inside Meta Superintelligence Labs, why Llama 4 was off course, and how his team rebuilt Meta's entire frontier model stack from scratch in nine months. The conversation cuts through a lot of the noise from last summer's recruiting frenzy. Wang lays out the structure of MSL and…

    Read the verified transcript → Watch on YouTube ↗

  • Zuckerberg's Secret Plan To WIN The AI Race | Meta AI Chief Reveals Future

    In this episode, we sit down with Alex Wang, former founder of Scale AI and now Chief AI Officer at Meta, to understand what Meta Superintelligence Labs is actually building. We talk about how Meta is designing its AI organisation from scratch, focusing on research depth, talent density, and long-term scientific foundations instead of short-term wins. We then understand how Meta balances frontier research with real-world products, and how models, infrastructure, and consumer applications all work together. They focus then shifts to AI agents, including wearables like the Ray-Ban Meta glasses.…

    Read the verified transcript → Watch on YouTube ↗

  • “Anything is Possible...” Youngest AI Billionaire Wang Reveals How AI Will Amplify Humans | VERTEX

    Meta’s Chief AI Officer Alexander Wang laid out an ambitious vision for artificial intelligence at the India AI Summit, arguing that AI should amplify human capability rather than replace it. Often described as the world’s youngest AI billionaire, Wang spoke about “personal superintelligence” and making advanced AI tools accessible to creators, educators and healthcare systems worldwide. He emphasised that AI can unlock productivity, accelerate innovation and democratise opportunity if developed responsibly. Wang framed AI not as a threat, but as a multiplier of human potential, capable of tra…

    Read the verified transcript → Watch on YouTube ↗

Verified interview transcripts

Notable quotes

“We see really exciting business opportunities and business model with Muse. One is obviously subscription plans that we've released. We've seen many of our users subscribe to a monthly subscription plan or buy additional tokens as they've needed to. Second, we actually think Muse is a very exciting B2B product. We've seen a lot of exciting adoption and outreach from small businesses and a lot of excited enterprises w”

“I think that there are going to be a lot of ways to create value from this. So what we're trying to do with Muse specifically is make it so that it can be widely used, because I think that there are going to be some kind of valuable network effects at scale as people start being able to interact with each other's, and that's going to be great. So I think there are all these reasons why you want it to get to large sca”

“I think that there are going to be a lot of ways to create value from this. So what we're trying to do with Muse specifically is make it so that it can be widely used, because I think that there are going to be some kind of valuable network effects at scale as people start being able to interact with each other's, and that's going to be great. So I think there are all these reasons why you want it to get to large sca”

“I think one of the first things I told Mark even before the whole scale and meta deal happened and everything, one of the first things I told him was I think Meta is actually a really special company if we have AGI or ASI or whatever you want to call it. Because part of the promise of AI is that for all of us, we have a mix of things that we want to do and things that we have to do. And the promise of AGI is that we'”

“I think there are basically three levels here. Level one is privacy. So you say, 'I download Muse.' And then I get to the point where it asks to be connected to my Gmail, and I say, 'Whoa, whoa, whoa, I'm not sure that I wanna do that. Like nope, nope, I'm out.' That, at the lowest level, is a concern about the relationship between the user and Muse itself, and therefore Meta. So what is Meta going to do with my info”

“I just think we're so early. Um like I think that um you know I think it's funny cuz I've reflected on this like if you were sitting here um you know a year ago if we were to have this conversation you we would always just say like oh well you know OpenAI and CHBT have you know they've won on consumer already. They have the they have they have the biggest business you know they're just going to run away with the whol”

Other executives at Meta Platforms

The summary and quote tags on this profile are produced with AI assistance from verified, first-person interview transcripts, then checked by our team to confirm the speaker's identity and the accuracy of every quote. See how we verify →