Mark Zuckerberg

“If you're talking about personal super intelligence, then obviously, having a very clear mental model of everything that is going on in the person's life and their goals is going to be a very important aspect of that.”

“But we also expect to grow a large business serving large customers as well.”

“WhatsApp is already the leading surface where people engage with Meta AI.”

“I'm very excited about this, and we're going to have more to share soon.”

“But we think that there is a big opportunity, obviously, to sell compute as well.”

“One interesting thing about having an agent talk to your customers every day is that it learns over time and can bring all of those insights back to you.”

“And if we help build this, then I think that we will continue to build a very strong business as well.”

“WhatsApp just hit an all-time messaging record peaking at 30 million messages sent per second during the World Cup final.”

“We're rolling business agents out on Instagram now too.”

“Instagram reached 2 billion daily actives.”

“That's the way that society has always made progress.”

“I mean, look, the high-level observation is that there's just nowhere near enough compute for all the demand.”

“I believe that building the kind of full-stack model is going to be a lot of the advantage over time in how we build personal super intelligence agents, business agents, all these different use cases for all of the different customers that we want to serve.”

“They're improving the experience for people using our apps, driving better performance for advertisers and helping our teams build new experiences and ship faster.”

“We launched incognito mode this quarter on WhatsApp and the Meta AI app, allowing people to have private conversations with their assistant that even Meta can't see.”

“So I think for Muse Spark 1 and Muse Spark 1.1, I think that they are very impressive models for the scale of the model, the kind of stage of development of the lab, and I feel quite good about them.”

“So these AI investments are paying off.”

“And as we build out a platform for more agents across our messaging apps, we're going to innovate on how to deliver a private and secure AI experience.”

“It's been a little more than a year since we launched Meta Superintelligence Labs and our trajectory is strong.”

“Earlier this year, we shipped Instagram Instants.”

“We just released our own line of Meta Glasses in collaboration with EssilorLuxottica, including a style that we designed with Kylie Jenner.”

“So we care about both of them.”

“So to build great personal agents, this needs to be a great consumer product that just works out of the box and is easy enough for billions of people to adopt and use.”

“Well, I think that some things have already broken through.”

“First, we are now at a point where our investments in AI are accelerating every major part of our core business.”

“In Instagram and Facebook, I'm very optimistic about our work to integrate large language models into our recommendation systems.”

“So that is why we see that like basically, we are getting a large number of offers for the compute that we have, but also we have a lot of internal uses that we think are going to be quite valuable.”

“But like you said, I think that building for consumers is a little bit different than building for developers.”

“Like it literally worked when other social networks did not work fast and efficiently.”

“Like there is a very important place in the world for there to be open source models.”

“I think that those are durable advantages as well as the data flywheels that we're building on them.”

“We're rolling out business agents.”

“And if you're trying to build personal super intelligence for people or you're trying to build a business agent for small businesses, that needs to have potentially some different skills than what the other labs are tuning.”

“And then obviously, on the research side, you want to build good culture.”

“And I'm also excited about how AI is helping our teams speed up product development.”

“And I just wanted to make sure that the MSL team was uninhibited in building out the most intelligent models that we could.”

“So I mean, I'm quite happy with the trajectory that we're on.”

“And I think it really plays to Meta's strengths as a company.”

“And I think it is true that in any kind of product category that you want to go into, there is going to be some kind of flywheel where you learn from the behaviors and how people in that community are using the product.”

“My personal bet is that the people who invest in this are going to be rewarded and feel very good over time.”

“We had a strong quarter for our community and business with 3.6 billion people using at least one of our apps each day.”

“So this is why we're very optimistic.”

“And soon, it will go further, including suggesting ways to grow your business, giving you competitive intelligence and real-time insights into what's working and what's not.”

“We're building coding and developing an internal productivity tools partially because we need to build them ourselves, and we need to make sure that we have tools that are tuned for ourselves.”

“The question in thinking about this is we believe that there will continue to be a significantly higher margin on selling intelligence rather than selling compute directly.”

“And over time, we'd like to build this into a business-in-a-box service that can help you start and run a whole business using Meta's platforms.”

“Second, we are developing new personal agents that will be the foundation for our next wave of products and revenue lines in the months and years ahead.”

“As we get closer to personal superintelligence, we are also going to need hardware that allows you to seamlessly interact with it.”

“It's making our apps more relevant and delivering better results for businesses.”

“We are also seeing a lot of demand for our new AI-powered creative tools.”

“But I mean I'm actually quite optimistic that we're going to see meaningful growth in all of these areas.”

“We built our own data centers, our own infrastructure, our own chips, our own low-level software.”

“Muse Image is going to supercharge this.”

“AI is improving our core business.”

“Rather than centralizing superintelligence, we are focused on distributing it widely and giving everyone the ability to direct it towards what matters to them.”

“I mean, right now, the open source models are not as strong as the frontier models.”

“We're happy with the trajectory of the lab.”

“I think that these are the right values for building a positive AI future.”

“Glasses are the ideal form factor since they can be with you throughout the day, and they can assist you without pulling you away from the moment.”

“So this means that we can show more relevant and engaging content that better reflects people's goals and interests.”

“So no is the basic answer.”

“We're great at once we get something working, scaling it to a large number of people, and we're good at building the infrastructure to be able to support these intensive applications.”

“On open source, I think we have always felt like open source was an important part of the ecosystem, and it's good for the world.”

“It's like people have spikes in certain areas and have different personalities and are better and worse at different things.”

“This is going to make our services a lot more useful and engaging for people.”

“Overall, the scale and reach of our community across our apps is pretty remarkable, and it gives us a strong platform for delivering new innovations to billions of people.”

“We've released a few models that I think are quite impressive on our early scaling ladder.”

“One reason that we are so focused on making Muse Spark great at agentic capabilities is that we think that there's a very big opportunity to ship a few types of agents that are aligned with our mission and business.”

“We made Meta business agents available globally this quarter on WhatsApp and Messenger, and there are already more than 1 million businesses using them to talk to their customers or complete sales every week.”

“I feel very good about the business agent work where we kind of already have our base of advertisers and small businesses that we serve and the ability to scale that out and roll it out around those.”

“I think that there's the intelligence aspect of this and then there's the data aspect of it.”

“So when you build the intelligence out, it can apply to a number of different uses.”

“And I think that there's a number of reasons why coding is first, right?”

“We want to contribute to that ecosystem.”

“Facebook has reached more than 2 billion daily actives for a while now.”

“Obviously, that's the vast majority of the business across Facebook and Instagram.”

“And then in the last year, I think the coding agent market has really grown very quickly.”

“And just like the ad system, effectively, we will get paid when we deliver results for those businesses.”

“But if you're serving billions of people, you want the ability to have more advanced models for things that are very hard problems, and you want the ability to serve the vast majority of prompts from simpler and more efficient models.”

“I think that it's extremely unlikely if you look out 5 years from now, for example, that whatever period of time you want that you don't have billions of people with a personal agent that understands your goals and it is just working on your behalf 24/7 to achieve your goals.”

“So do we -- basically, the question is, do we think that because there are some open-weight models that we can just rely on those.”

“9 million small businesses on our platforms are now using at least one of our AI ad creative tools, and we're rolling out new end-to-end creative solutions that help advertisers translate performance data into their creative decisions.”

“LLMs add a first principles understanding of what the content is about and why it is compelling as well as a deeper understanding of what people are interested in and what their goals are when they're using our apps.”

“So that's everything I wanted to cover upfront today.”

“I mean this is just kind of the simple stuff, but it's -- I think that it's -- you just want to make sure that you're building the team in a way where you're managing things well and kind of consistently with low drama compounding over time.”

“So I think this is a field where people understandably are obsessed with intelligence, but the data and the knowledge part of it to serve people well is really important.”

“We've expanded the context that we can take into account around a person's organic and ads activity to determine an ads relevance, driving significant increases in relevance and conversions on both Facebook and Instagram.”

“We plan to do a combination of open and closed models.”

“But that's -- we basically see a very large demand for all of this and want to go maximize the opportunity to build out all of these different businesses.”

“So in kind of the better that you can do there, the more feedback you get and then that inevitably makes the product better.”

“So we're building more agentic capabilities to summarize all these conversations, digest what happened overnight and surface what customers are asking for.”

“And I think one of the interesting things about AI compared to other technologies is that every year or so and the cycle may accelerate, but every year or so, you get new capabilities that create new possible product lines.”

“But then you want to invest in building up the flywheel on them because I think that that's how you build the sustainable advantage over time.”

“But now there's going to be a whole new and nearly infinite universe of personalized content.”

“You obviously are not getting value out of them until they're online.”

“And as I've said, we're in the process of scaling much larger and more advanced models, and we're excited about those, too.”

“In the last month, we shipped Muse Spark 1.1 and Muse Image.”

“Overall, we expect that a significant portion of our compute is going to go towards training our models, growing our core business and delivering personal agents and new products.”

“And it creates this dynamic where there is a lead time where we're investing in building out these data centers now.”

“We also just launched Meta One, a new subscription offering that provides more tools and AI features across our apps.”

“So that one, I think, should be quite a natural opportunity for us.”

“And we expect that we will get back to releasing some open source models at some point soon.”

“And I expect it to become a lot easier to ship new apps.”

“We're trying to maximize the results for people and build out a robust auction, and that's what we've seen has served the business well over time.”

“And that's the first real agentic market.”

“But at the same time, we also want to have good, more efficient models that will be a lot of what we serve to consumers at scale.”

“We're the only major company building AI with the primary goal of putting superintelligence directly into people's hands.”

“Coding is an inherently digital and closed-loop activity.”

“If you're building for consumers, especially if you're trying to build something that isn't used by millions of people, but is used by billions of people, it needs to just work, right?”

“So in addition to the distribution that we have and the ability to reach all these people and scale products that work, I think this is a lot of the durable advantages that you build something that is kind of specific to that use case and excellent at those use cases.”

“There are already 2 large sets of content to draw from, first, from your friends and the people you follow and second, from creators that you don't follow.”

“They're the first glasses to ship with Muse Spark out of the box so that they can understand what you're seeing and give even more helpful answers.”

“And on a dollar basis, our ads business is reporting faster year-over-year revenue growth than any other company's reported ad business.”

“We are planning to make strong privacy and security a fundamental part of the agents that we're building as well.”

“Soon, we will have agents that can work 24/7 on your behalf to help you achieve your goals and improve your life, your health, your relationships, your finances, whatever you want.”

“I'm also very excited about our progress with business agents.”

“Threads crossed 500 million monthly actives, making it the fastest-growing conversation app ever.”

“But I think that there is just a very large opportunity on this.”

“Some qualitative experiences are just not even possible for others to build because we go all the way down the stack.”

“Yesterday, as part of our Meta Compute effort, we announced a new strategic venture with BlackRock to develop a new 1 gigawatt data center in El Paso, Texas.”

“At Meta, we have always built technology to put power in people's hands, so that they can connect with the people they care about and shape the world in the ways that they want.”

“You have technical customers who are willing to do the work to make it work.”

“I'm excited about the products that are coming, and we believe that this is going to be a big thing.”

“Since we rebuilt Meta AI and integrated Muse Spark, we have seen a 60% increase in the number of people interacting with the assistant each day, and that continues to grow quickly week-over-week.”

“Now we want to have models that are more advanced as well, and that's why we're scaling larger models, and that's why we're building out a bunch of the research infrastructure around that.”

“So I think both are going to be very important.”

“We're getting a lot of offers for compute at a significant premium over what we paid for it.”

“The model can analyze images, improve its own work and produce better ad variations based on advertiser input.”

“We're starting to deliver more novel products, and we'll have a lot more there soon as well.”

“But I think this is a very large opportunity and one that I think is almost inevitable that someone does.”

“The efficiency really matters, but I also think that we want to be able to solve the hardest problems for businesses and customers around the world.”

“It's why we've always focused on making our products affordable and accessible for everyone, and it's a strategy that has served both our community and our business well.”

“So I think on both fronts, we believe we're going to be able to do better work, and we think that there's some risk in that reliance.”

“We think open source is important.”

“As we move towards a future where we're all interacting with multiple agents, I think that WhatsApp and our other messaging surfaces are going to become increasingly important.”

“So in terms of the different opportunities and how we think about the compute, overall, a substantial amount of the compute goes towards training models to be a leading lab.”

“Our new Muse Image and Muse Video models will also dramatically expand the universe of content that people can discover across our platforms.”

“In terms of how we will monetize these, we have a mix of subscriptions, volume-based pricing, and I expect that we're going to continue to evolve more of these products to be like our ad systems where businesses only pay us when we achieve results for them.”

“And it creates its own feedback loops that are positive for us around getting the community invested in our infrastructure stack and our work and contributing improvements.”

“And I think that there's just a very, very large opportunity there.”

“Our glasses remain one of the fastest-growing consumer electronics of all time, and we continue adding to the lineup.”

“Now in terms of running the business, obviously, a common trade-off that we need to make is around how much do you monetize something today versus develop future assets for the future.”

“As demand grows, we're going to offer a variety of different tiers and pricing options there as well.”

“So basically, the way that you want to do this is you build up from training smaller models to building larger models.”

“And the way that I think about this is there's obviously been a bunch of news about the compute side, but I think that the enterprise opportunity is kind of the sum of all of these different things.”

“We build consumer products that reach billions of people.”

“And I think we just have the ability to build things that can be more personalized, more optimized, more efficient.”

“So I think open source is going to be important, but I think for us, also building the models is going to be a critical part of it.”

“This is like a very, very deep set of use cases.”

“But like we've always said, we're not dogmatic about this.”

“The first is personal agents.”

“And third, we see a large enterprise opportunity to sell to businesses, including APIs, business agents, potentially selling compute directly and other services that we're building for large customers.”

“It's available through our new public API, and we are ramping up distribution through partner channels and more coding agents over the coming weeks.”

“That's going to be somewhat of a new muscle that we build as a company, but I think it's a very important one that we build so that way we can make sure that we can maximize the opportunity ahead of us.”

“And we're focused on delivering it in a way where we're not trying to kind of maximize the sale in the near term.”

“For ads, we are using LLMs to improve how our systems predict and rank the ads that we show.”

“And I want to spend some time today laying out exactly how our investments are delivering results today and the opportunities that we see over time.”

“And I think that it's always a portfolio, right?”

“As we enter this next chapter, that same philosophy is guiding how we approach developing AI.”

“And I mean, look, I get that this is a big investment, and it's a big bet.”

“We are really a full-stack technology company.”

“But I think that we've definitely shown at Meta that when we have a product and a format that works, we -- I would go as far as to say that I think we're probably the best company in the world at scaling those experiences to billions of people.”

“We see the technology working.”

“Whereas if you release it as open and it's going to be used for a lot of things, you want to make it more well-rounded.”

“It kind of seems magical, but then maybe it breaks down over time.”

“But we've always basically said that we were going to do a mix of open and closed.”

“As AI usage in our products and businesses continues to ramp, we continue to invest aggressively in infrastructure to meet the demand.”

“The first domain that agents have really taken off in is coding, but engineers are more technical and willing to spend time making those agents work.”

“So we view this as an extension of the sales and the partnerships that we have with many millions of advertisers and hundreds of millions of small businesses that use our platforms.”

“But our bet is that -- or one of the bets here that we're making is that we think that consumer personal agents is going to end up being an extremely important and massive market.”

“So you're getting to a point where today, the models are still able to learn from people -- and then I think at some point, the models will have to improve themselves.”

“I actually think that our approach of trying to empower individuals and building consumer things is just in the details extremely different from what others are doing.”

“We are building a personal agent focused on helping people achieve the diverse goals in their lives.”

“I'm trying to kind of paint a picture of the very high-level direction that we're going in, but I think that the picture is going to come into focus a lot more over the subsequent quarters.”

“Beyond glasses, I am excited for more of our Metaverse efforts to be powered by the AI models we're training as well.”

“So even though I think some of these ideas, they seem like they should be so obvious.”

“And I think that these are just both loops that we'll iterate on.”

“I mean I think that the agents work, there's going to be short-term versions of it, but then I think that there's going to be massive upside for delivering more intelligence and more capabilities in the models.”

“These are all elements of the personal super intelligence vision.”

“Our goal is not just to deliver Meta AI as an assistant, but to deliver agents that can understand your goals and then work day and night to help you achieve them.”

“Right now, our apps primarily help people accomplish 3 important goals: connecting with people, learning about the world and entertainment.”

“It's like the most exciting time in the industry.”

“It powers Meta AI, which I think is now a world-class assistant.”

“And shopping might be one kind of specific example that I think is going to have interest in commercial implications.”

“We're hearing very positive feedback on it so far.”

“Like our vision for the future is one where society makes progress by individuals pursuing their own aspirations.”

“Over the past 10 months, we have built the strongest research team in the industry and established the scientific and technical foundations to scale very advanced models.”

“And Threads continues on its trajectory to be the leading app in its category.”

“So I think we're going to see a lot of innovation.”

“I think that this is like -- this is stuff that I think literally every person in the world is going to want some version of it.”

“Coding is one ingredient for the model self improving.”

“We are seeing more and more examples where one or two people are building something in a week that would have previously taken dozens of people months.”

“I think like a lot of this, and when you're thinking about kind of the investment in Meta over time, I think you should think about it as coming down to these set of values around what do we want AI to do in society.”

“These new AI models will let us understand this in more detail.”

“And I think getting to like that quality bar is something that I care about more than hitting a specific week for launching or something like that.”

“And building on our release of Oakley last year, we have some exciting new partnerships and styles that I think are going to have the potential to reach even more people coming later this year.”

“But overall, I think the future is about building many more higher-quality things than we've ever built before.”

“We're building the next evolution of our company around these people.”

“I think that is a very significant validation of the effort that the team is working well together, that the infrastructure is working, that that the effort is on track.”

“We're also building a business agent focused on helping entrepreneurs and businesses across the world, use our tools and others to grow their efforts, reach new customers and serve existing customers better.”

“But I actually think people conflate coding with self-improvement more than they should.”

“Now that we have a strong model, we can develop more novel products as well.”

“We had a strong quarter for our community, our business and our progress towards AI.”

“And then we think that these are going to be some of the most important products that get built over the next decade.”

“And if what you want it to do is empower individuals and build a world where the AI is in service to individuals goals, then that is what we are going to build, and I think it's going to be incredibly valuable.”

“WhatsApp continues to see strong momentum, too, including in the U.S.”

“And this is kind of how we've done everything over the last 20 years of running the company, and that is basically the plan.”

“They want to create websites.”

“We released Ray-Ban Meta optics this quarter designed for all day wear rather than primarily as sunglasses.”

“Spark is just one step on that scaling ladder, and we are already training even more advanced models.”

“Then we have our product team, and that team is now really unlocked to be able to build things on top of our models because we now have a very strong model.”

“Daily and monthly actives on Instagram and Facebook continue to grow with video driving all-time high engagement across both apps.”

“These agents will work together to form an ecosystem.”

“I'm also really excited to see the glasses evolve from being able to answer questions to being able to be a personal agent that's with you all day long, helping you remember things and achieve your goals.”

“And I think that part of the lane and what is interesting and differentiated about what we're doing is that that's just so different from how I hear everyone else talking about the work that we're doing.”

“And whether you use our personal or business agents to achieve your goals, I believe that the future will see a massive increase in entrepreneurship from people creating new things that they've always wanted to exist, but previously didn't have the tools to bring into the world.”

“This continues to be one of the fastest-growing categories of consumer electronics ever.”

“All of our glasses are designed to easily update to use our newest AI models and features.”

“These are all things that good agents are going to be able to help people do, which I think is partially why this is so exciting.”

“Since I first wrote about our vision for personal Super Intelligence last year, we've been focused on delivering personal and business agents to billions of people around the world.”

“One of the primary goals of our Meta compute initiative is to lead the industry in efficiency of building compute, and we expect that will be a strategic advantage over time.”

“And we'll also be able to create personalized content specifically for people to help you achieve your goals as well.”

“The formula for our company has always been build experiences that can get to billions of people and focus on monetizing them once you get to scale.”

“So I think of the agents as the product vehicle for delivering that capability to people.”

“That's why we believe that we need to be a company that builds frontier models in addition to building the agents.”

“We remain the biggest investors in the VR space across the industry, but we are focused on making our VR business sustainable as we invest more in other areas like AI and glasses.”

“But we've always wanted our apps to understand more of people's goals so we can help improve their lives in all the ways that they want.”

“And now we're unlocked to be able to go build things and get them to scale on top of our own models.”

“This was the first release from Meta Super Intelligence Labs, and it shows that our work is on track to build a leading lab.”

“So look, on the OpenClaude and other agents, I think that they give you a very exciting glimpse of what types of things should be possible.”

“So I think that that's the road map of what we need to do.”

“We are living through a historic technological transformation.”

“Talking about building physical goods at scale, our AI glasses continue to perform well with the number of people using them, daily tripling year-over-year.”

“And those are the kinds of products that we're going to build, and I believe that they're going to be some of the most important and valuable products of all time.”

“But I think we have a sense of the shape of where these things need to be.”

“On that note, we are increasing our infrastructure CapEx forecast for this year.”

“But otherwise, trends across our apps are strong.”

“So I think you will see that over some period of time.”

“More than 3.5 billion people use at least one of our apps every day.”

“So I think that this is like it's a very exciting area.”

“Our biggest milestone so far this year has been the release of our Muse family of models and our first model MuSpark along with a significantly upgraded new version of Meta AI.”

“But I think what you all should be waiting to see is like whether we can build the version that really like just works and how effective we are at converting people who are using our products into being hundreds of millions and then billions of people using this stuff.”

“And I want to make sure that Meta is the best place in the world for these types of people to come and make an impact.”