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spk05: Good afternoon. My name is Dave and I will be your conference operator today. At this time, I would like to welcome everyone to the Meta third quarter earnings conference call. All lines have been placed on mute to prevent any background noise. After the speaker's remarks, there will be a question and answer session. If you would like to ask a question, please press one, then the number four on your telephone keypad. This call will be recorded. Thank you very much. Ken Durrell, Meta's Director of Investor Relations. You may begin.
spk07: Thank you, good afternoon and welcome to meta platforms third quarter 2023 earnings conference call joining me today to discuss our results are mark zuckerberg CEO and Susan Lee CFO. Before we get started, I would like to take this opportunity to remind you that our remarks today will include for looking statements. Actual results may differ materially from those contemplated by these for looking statements. Factors that could cause these results to different materially are set forth in today's press release and in our quarterly report on form 10 Q file with the SEC. Any forward-looking statements that we make on this call are based on assumptions as of today, and we undertake no obligation to update these statements as a result of new information or future events. During this call, we will present both GAAP and certain non-GAAP financial measures. A reconciliation of GAAP to non-GAAP measures is included in today's earnings press release. The press release and an accompanying investor presentation are available on our website at investor.fb.com. And now, I'd like to turn the call over to Mark.
spk04: All right, thanks, Ken. Thanks, everyone, for joining today. This was a good quarter for our community and our business. We estimate that there are now more than 3.9 billion people who use at least one of our apps every month. The big product news this quarter is that we just held our annual Connect conference, and we discussed Quest 3, which is the first mainstream mixed reality device, and the next generation of Ray-Ban Meta smart glasses, which are the first smart glasses with our Meta AI built in. There continues to be a ton of innovation in AI, and we used Connect to describe and start launching a lot of the new consumer AI experiences that we expect to become meaningful parts of all of our apps and our business over the coming years. We started rolling out Meta AI, our new assistant that you can access across all our messaging experiences and smart glasses to answer questions, get access to real-time information, and generate photorealistic images. We started launching our AI studio platform that enables people to create and interact with lots of different AIs for help getting things done and just having fun. We rolled out Emu, our image creation model that produces high quality images and stickers fast. We launched an early alpha of business AIs so that eventually every business can have an AI to interface with customers, to do sales and support. And we let out the plan to launch creator AIs next year, so every creator can have an AI their fans can engage with to help them build out their community. And that's just a snapshot of some of the AI work that we're doing. The experiences that we started rolling out at Connect are going to transform the way that people use all our services, feeds, messaging, hardware, advertising, business messaging, interacting with creators and more. But it's going to take time to tune all these experiences before hundreds of millions or billions of people are going to use them. And I expect that dialing in these products and the vision that we articulated at Connect is going to be our theme for much of the next year. And I think that it's going to be a very exciting 2024. As we are looking ahead and planning for next year, I want to share a few thoughts on what I'm expecting. I've been happy with our results this year so far, and we are planning to continue focusing on operating efficiently going forward, both because it creates a more disciplined and lean culture, and also because it provides stability to see our long-term initiatives through in a very volatile world. Now, in terms of investment priorities, AI will be our biggest investment area in 2024, both in engineering and compute resources. But I want to avoid allocating a lot of new headcount. So we're going to continue deprioritizing a number of non-AI projects across the company to shift people towards working on AI instead. On the recruiting front, one dynamic that I want to flag is that We have a sizable hiring backlog right now since part of our layoffs earlier this year included teams swapping out certain skill sets for being able to hire others. And we're still going to be hiring those roles into 2024. So that means that even though we're planning to grow headcount at a much slower rate going forward, the actual rate next year may temporarily be faster as we work through this hiring backlog. All right, now let's get into our product updates. Let's start with Reels, which continues to do very well. We estimate that with all the ranking and product improvements that we've made, Reels has now driven more than 40% increase in time spent on Instagram since launch. We also reached a monetization milestone earlier than expected, and we estimate that Reels is now net neutral to overall company ad revenue. In many ways, Reels has... and now graduated from being an early initiative to now being a core part of our apps. So going forward, we're going to continue focusing on Reels, but we'll also look at growing it as part of our overall portfolio of video services, which make up more than half of the time that is spent on Facebook and Instagram. And there's a lot more to do across all of these. All right, AI. AI advances are driving a lot of our product and business performance. Generative AI will increasingly be important going forward. I outlined our product roadmap earlier. And on top of that, we're also building foundation models like Llama 2, which we believe is now the leading open source model with more than 30 million Llama downloads last month. Beyond that, there is also a different set of sophisticated recommendation AI systems that powers our feeds, reels, ads, and integrity systems. And this technology has less hype right now than generative AI, but it is also very important and improving very quickly. AI-driven feed recommendations continue to grow their impact on incremental engagement. This year alone, we've seen a 7% increase in time spent on Facebook and a 6% increase on Instagram as a result of recommendation improvements. Our AI tools for advertisers are also driving results with Advantage Plus shopping campaigns reaching a $10 billion run rate and more than half of our advertisers using our Advantage Plus creative tools to optimize images and text in their ads creative. Business messaging also continues to grow across our services and I believe will be the next major pillar of our business. There are more than 600 million conversations between people and businesses every day on our platforms. To give you a sense of what this could look like when it's scaled globally, Every week now, more than 60% of people on WhatsApp in India message a business app account. Revenue from click to message ads in India has doubled year over year. Now, I think that this is going to be a really big opportunity for our new business AIs that I talked about earlier that we hope will enable any business to easily set up an AI that people can message to help with commerce and support. Today, most commerce and messaging is in countries where the cost of labor is low enough that it makes sense for businesses to have people corresponding with customers over text. And in those countries like Thailand or Vietnam, there's a huge amount of commerce that happens in this way. But in lots of parts of the world, the cost of labor is too expensive for this to be viable. But with business AIs, we have the opportunity to bring down that cost and expand commerce and messaging into larger economies across the world. So making business AIs work for more businesses is going to be an important focus for us into 2024. I want to give a quick update on threads. We're three months in now, and I'm very happy with the trajectory. There are just under 100 million monthly actives at this point. And we're now getting to the point where we're going to be focusing on growing the community further. From what we can tell, people love it so far. You know, I thought for a long time that there should be a billion-person public conversations app that is a bit more positive. And I think that if we keep at this for a few more years, then I think we have a good chance of achieving our vision there. All right. Now, finally, in addition to AI, our other major long-term focus is the metaverse. And we just launched Quest 3, our most powerful headset yet, at a very competitive price. We packed a lot of improvements in there, including a next-generation chipset with 2x the graphics performance, our best displays yet, and a form factor that's 40% thinner than Quest 2. But the most important breakthrough for Quest 3 is that it's the first mainstream mixed reality device. And that means that when you put on the device, You see your physical room around you, and you can bring digital objects and games into your physical space, whether that's a ping pong table, your workstation, a big screen TV to play Xbox games on, or your friends as holograms. The early reviews have been great, and it's been fun to see how people respond to this. We also launched the next generation of Ray-Ban Meta smart glasses. They're upgraded from the first generation in basically every way. Better camera, clearer audio, they're lighter, they have more styles, and you can now even live stream video from them. But most importantly, these are the first smart glasses shipping with Meta AI built in. So you can ask your glasses questions throughout the day and it'll answer them right in your ear. And in many ways, glasses are the ideal form factor for an AI device because they enable your AI assistant to see what you see and hear what you hear. Again, it's good to see the early reviews are so positive, and I'm looking forward to this space evolving quickly over the coming years. We are also making progress on software for the Metaverse 2. Horizon is now growing faster. There's more new worlds like Super Rumble and Citadel come online. We also started testing Horizon for phones, tablets, and PCs, which is going to be an important part of how we build out the metaverse across devices. And we've had a couple of important milestones with avatars as well, both for our expressive avatars and the latest codec avatars that I showed off recently. Now, as I said at Connect, I think one of the most interesting questions for our industry over the coming decades is going to be how we bring together our physical and digital worlds into a coherent and good experience. I think we're starting to see some of the building blocks come together between mixed reality for bringing digital objects into the physical world, our AI studio work for enabling interactions with all kinds of different AIs, and eventually smart glasses to bring all of this together into a stylish form factor. So I am very excited about the roadmap ahead. All right. That is my update for today. This was a good quarter. I'm pleased with our progress on efficiency this year. We're a leaner organization, shipping faster and advancing the state of the art in all of our long-term initiatives. And while investing heavily for the future, we also just recorded our highest operating margin in two years. So I'm looking forward to carrying this product momentum and operating discipline forward. As always, thank you to everyone on our team and all of you who are on this journey with us. And now here's Susan.
spk02: Thanks, Mark. And good afternoon, everyone. Let's begin with our consolidated results. All comparisons are on a year-over-year basis unless otherwise noted. Q3 total revenue was $34.1 billion, up 23% or 21% on a constant currency basis. Q3 total expenses were $20.4 billion, down 7% compared to last year. In terms of the specific line items, cost of revenue increased 9%, as higher infrastructure-related costs were partially offset by lower content costs. R&D increased 1% as higher headcount-related costs from family of apps and reality labs were partially offset by lower non-headcount-related reality labs operating expenses. Marketing and sales decreased 24% due primarily to lower marketing spend and headcount-related costs. G&A decreased 39% due primarily to lower legal-related expenses. We ended the quarter with over 66,100 employees, down 7% from the second quarter. Our third quarter headcount no longer included the substantial majority of the employees impacted by the previously announced layoffs. Third quarter operating income was $13.7 billion, representing a 40% operating margin. Our tax rate for the quarter was 17%. Net income was $11.6 billion, or $4.39 per share. Capital expenditures, including principal payments on finance leases, were $6.8 billion, driven by investments in servers, data centers, and network infrastructure. Capital expenditures were below the prior year levels, primarily due to lower server and data center construction spend as we prepared to shift to our new data center design, as well as payment timing. Free cash flow was $13.6 billion, benefiting from a deferral of income taxes, which was paid in the fourth quarter. We repurchased $3.7 billion of our Class A common stock in the third quarter and ended the quarter with $61.1 billion in cash and marketable securities and $18.4 billion in debt. Moving now to our segment results. I'll begin with our family of apps segment. Our community across the family of apps continues to grow. We estimate that approximately 3.14 billion people used at least one of our family of apps on a daily basis in September. And that approximately 3.96 billion people used at least one on a monthly basis. Facebook continues to grow globally and engagement remains strong. Facebook daily active users were 2.09 billion, up 5% or 101 million compared to last year. DAUs represented approximately 68% of the 3.05 billion monthly active users in September. MAUs grew by 91 million, or 3%, compared to last year. Q3 total family of apps revenue was $33.9 billion, up 24% year over year. Q3 family of apps ad revenue was $33.6 billion, up 24% or 21% on a constant currency basis. Within ad revenue, the online commerce vertical was the largest contributor to year over year growth. followed by CPG and gaming. Online commerce and gaming benefited from strong spend among advertisers in China reaching customers in other markets. On a user geography basis, ad revenue growth was strongest in rest of world and Europe at 36% and 35%, respectively, followed by Asia Pacific at 19% and North America at 17%. Foreign currency was a tailwind to advertising revenue growth in all international regions. In Q3, the total number of ad impressions served across our services increased 31% and the average price per ad decreased 6%. Impression growth was mainly driven by Asia Pacific and rest of world. The year over year decline in pricing was driven by strong impression growth, especially from lower monetizing surfaces and regions. While overall pricing remains under pressure from these factors, we believe our ongoing improvements to ad targeting and measurement are continuing to drive improved results for advertisers. Family of Apps other revenue was $293 million in Q3 at 53%, driven by strong business messaging revenue growth from our WhatsApp business platform. We continue to direct the majority of our investments toward the development and operation of our family of apps in Q3 family of apps expenses were $16.4 billion representing approximately 81% of our overall expenses. FOA expenses were down 9% as growth and infrastructure related costs was more than offset by lower legal related expenses marketing and headcount related costs. Family of Apps operating income was $17.5 billion, representing a 52% operating margin. Within our Reality Labs segment, Q3 revenue was $210 million, down 26%, due primarily to lower Quest 2 sales. Reality Labs expenses were $4 billion, flat year over year, as higher headcount-related expenses were offset by lower non-headcount related operating expenses. Reality Labs operating loss was $3.7 billion. Turning now to the business outlook. There are two primary factors that drive our revenue performance. Our ability to deliver engaging experiences for our community and our effectiveness at monetizing that engagement over time. On the first, Overall engagement on Facebook and Instagram remains strong. Reels and video content more broadly continues to grow and drive incremental engagement. AI recommended content from unconnected accounts and feed continues to become increasingly incremental to engagement, including in the US and Canada. These gains are being driven by improvements to our recommendation systems, and we see additional opportunities to advance our systems even further in the future. as we deploy more advanced models. We're also developing entirely new experiences for our community. Our investments in AI capacity in recent years have enabled us to support leading generative AI research, and we're meaningfully accelerating the pace of bringing that research into our products. We launched our first consumer GenAI experiences last month that are built on top of our foundation models and are excited to learn from how people use these tools to make them increasingly valuable over time. Aside from generative AI, Threads also remains a compelling long-term opportunity, and we're excited to build on the strong product momentum we have going into next year. Turning to the second driver, improving monetization. Here, our focus is on continuing to drive marketing performance for businesses, including through business messaging. There are four areas of this work. Improving Reels monetization, creating engaging on platform ad experiences, making it easier for advertisers to connect their marketing data, and increasingly leveraging AI across our ad systems and products. On Reels, we have continued to improve monetization and are now at a level where Reels is neutral to overall revenue. We've made tremendous progress over the last year, building and scaling Reels as a consumer product, and it has now become part of the core experience on Instagram and Facebook. As such, we don't anticipate quantifying the net revenue contribution from Reels going forward. We will still work to further improve Reels ads performance through ranking improvements and making Reels ads increasingly interactive, while also growing supply to give businesses more opportunities to get in front of people. We anticipate this ongoing work will help Reels be a modest tailwind to revenue in 2024 while we continue to strike the right balance between engagement and revenue growth. But our focus going forward will be on growing revenue and engagement on overall video and more holistically across our product lines within Instagram and Facebook. Next on site experiences we're seeing sustained momentum with click to message ads click to whatsapp ad revenue continues to grow very quickly, in particular, and is already at a multi billion dollar annual run rate. we're progressing on our work to enable further down the funnel conversions and longer term we're excited about the potential of Ai to help businesses message with customers more efficiently at scale. We've recently started testing AI capabilities with a few partners and we'll take our time to get the experience right, but we believe this will be a big unlock for business messaging in the future. We're also excited about the potential for paid messaging, which serves as a nice compliment to click to messaging ads by helping businesses develop ongoing relationships with customers once they're in a messaging thread. Outside of business messaging, we're seeing good early traction with shops ads. And in the third quarter, we announced expanded commerce integrations with third party services to make it easier for businesses to set up a Facebook or Instagram shop and run shops ads. The third piece of our work is making it easier for advertisers to connect their marketing data. We're investing in ways to make it easier for advertisers to adopt our conversions API, understand its impact, and use it across a broader set of objectives. In addition to our existing support for AWS, in September, we announced the support of Google Cloud for the conversions API gateway. We've also introduced enhanced reporting and rolled out conversions API for business messaging, so click-to-message advertisers can now better understand the value of WhatsApp and Messenger and improve their performance. Last, AI. We are leveraging AI across our ad systems and suite of products, which is driving improved performance for advertisers. We're increasingly adopting the use of larger, more advanced ads models and using AI to power ads products that provide increased automation to advertisers. We're seeing strong traction with our Advantage Plus shopping solution, particularly around online commerce and CPG advertisers looking to drive online sales. And we're continuing to invest in several other products within our Meta Advantage Plus suite to help advertisers optimize and automate more of their campaigns. Before turning to our revenue outlook, I'd like to provide color on our hiring plans as we look to 2024. One important point to note is that we are currently operating with a significant underrun against our 2023 budgeted headcount. For much of late 2022 and early 2023, we had instituted a broad-based hiring freeze as we undertook our restructuring efforts. In addition, as part of those restructuring efforts, many teams elected to make deeper headcount reductions in order to hire different skill sets that they need. We have since resumed hiring, but expect that much of our hiring that was originally planned for and budgeted in 2023 will occur in 2024. As part of our 2024 budget, we plan to selectively allocate incremental headcount toward four key company priorities, AI, infrastructure, reality labs, and monetization, as well as toward our regulatory and compliance needs. Of those areas, we expect AI to be the largest area of increased investment, as we further invest in generative AI across our core products, internal tooling, and research efforts. We aim to offset some of this growth by continuing our efficiency focus and reducing planned hiring in other areas across the company in 2024. The net effects of our efforts to close out our 2023 hiring underruns and our efficiency-focused 2024 budgeting process is that we expect to end next year with reported in-seat headcount meaningfully higher than our current headcount, but to grow at a slower rate beyond that. We also expect a step up in infrastructure-related expense growth next year as we recognize higher depreciation and operating costs from running an expanded infrastructure footprint. In addition, we continue to monitor the active regulatory landscape including the increasing legal and regulatory headwinds in the EU and the US that could significantly impact our business and our financial results. Of note, the FTC is seeking to substantially modify our existing consent order and impose additional restrictions on our ability to operate. We are contesting this matter, but if we are unsuccessful, it would have an adverse impact on our business. Turning now to the revenue outlook. We expect fourth quarter 2023 total revenue to be in the range of $36.5 to $40 billion. Our guidance assumes a foreign currency tailwind of approximately 2% to year-over-year total revenue growth in the fourth quarter based on current exchange rates. Turning now to the expense outlook. We anticipate that our full year 2023 total expenses will be in the range of $87 to $89 billion, lowered from our prior range of $88 to $91 billion. This outlook includes approximately $3.5 billion of restructuring costs related to facilities consolidation charges and severance and other personnel costs. We expect Reality Labs operating losses to increase year over year in 2023. We are also sharing a preliminary outlook for 2024 expenses, capex, and our tax rate. We expect full year 2024 total expenses to be in the range of $94 to $99 billion. We continue to expect a few factors to be drivers of total expense growth in 2024. First, we expect higher infrastructure related costs next year. Given our increased capital investments in recent years, We expect depreciation expenses in 2024 to increase by a larger amount than in 2023. We also expect to incur higher operating costs from running a larger infrastructure footprint. Second, we anticipate growth in payroll expenses as we work down our current hiring under run and add incremental talent to support priority areas in 2024. which we expect will continue to shift our workforce composition toward higher cost technical roles. Finally, for Reality Labs, we expect operating losses to increase meaningfully year over year due to our ongoing product development efforts in AR VR and our investments to further scale our ecosystem. Turning now to the CAPEX outlook. We expect 2023 capital expenditures to be in the range of $27 to $29 billion, updated from our prior estimate of $27 to $30 billion. We anticipate our full year 2024 capital expenditures will be in the range of $30 to $35 billion, with growth driven by investments in servers, including both non-AI and AI hardware, and in data centers as we ramp up construction on sites with the new data center architecture we announced late last year. On to tax. Absent any changes to U.S. tax law, we expect our fourth quarter 2023 and full year 2024 tax rates to be similar to the third quarter of 2023. Please note that our outlook for 2024 expenses, capital expenditures, and tax rate are preliminary estimates. In the future, we expect to provide our initial forward year expense, capex, and tax rate outlooks on the fourth quarter call. In closing, this was a good quarter for our business as our efficiency efforts are translating into improved financial results and we're seeing momentum across our company priorities. We are excited to build on this work in 2024 as we invest in areas that have the potential to meaningfully transform how people engage with our services and with each other in the years ahead. With that, Dave, let's open up the call for questions.
spk05: Thank you. We will now open the lines for a question and answer session. To ask a question, press 1 followed by the number 4 on your touchtone phone. please pick up your handset before asking your question to ensure clarity. If you're streaming today's call, please mute your computer speakers. Your first question comes from the line of Brian Novak with Morgan Stanley.
spk08: Great. Thanks for taking my questions. I have two. The first one, Mark, just wanted to ask you about the open source model strategy. You've been a leader in developing a lot of unique open source AI models. You've got some high profile distribution partners now. How do you think about the strategic opportunity for meta from the growing open source model adoption? Then the second one, Susan, just on the operating losses at Reality Labs, I understand there's product development and efforts to scale the ecosystem. Can you help us understand or give us examples of expenditure going on within Reality Labs that could also be ported and used over a family of apps perhaps over time?
spk04: Sure. Okay. I can start with the AI models. You know, we have a pretty long history of open sourcing parts of our infrastructure that are not kind of the direct product code. And a lot of the reason why we do this is because it increases adoption and creates a standard around the industry, which often drives forward innovation faster, so we benefit and our products benefit, as well as there's more scrutiny on kind of security and safety-related things, so we think that there's a benefit there. more companies running models or infrastructure can make it run more efficiently, which helps reduce our costs as well, which is something that we've seen with Open Compute. So I think that there's a good chance that that happens here over time, and obviously our CapEx expenses are a big driver of our costs. So any aid in innovating on efficiency is sort of a big thing there. The other piece is just that over time with our AI efforts, we've tried to distinguish ourselves as being – a place that does work that will be shared with the industry, and that attracts a lot of the best people to come work here. So, you know, a lot of people want to go to the place to work where their work is going to touch most people. One way to do that is by, you know, building products that billions of people use. But, you know, if you're a really, you know, focused engineer or researcher in this area, you also want to build the thing that's going to be the standard for the industry. So I know that's pretty exciting, and it helps us do leading work While at the same time, a lot of the secret sauce that goes into our product is specific product logic on top of the model. And we're also able to further train the models with data that we have internally. So I think it's a good balance of improving the quality of what we do and improving the economics around it and improving recruiting while still enabling us to build a leading product.
spk02: And Brian, I'll go ahead and take your second question, which is on the operating losses at Reality Labs. whether there's any benefit to family of apps from some of that work. So first I should clarify, the majority of our Reality Labs costs are direct costs in headcount, operating expenses, and product cogs for the Reality Labs work. The remainder of the Reality Labs total costs are indirect costs, such as facilities that get allocated based on our estimate of their benefit to Reality Labs. Now, as you alluded to, Reality Labs is working to build the future of online interactions, and we do expect You'll see some interesting ways that translate into work with the family of apps in the near term. For example, with avatars, you've already seen 1 billion avatars created so far. We expect that this will become increasingly important across the family of apps. And we're also starting to see how our hardware can help create unique content for Facebook and Instagram today with our Ray-Ban Meta smart glasses, making it easier to capture and share to family of apps, including live streaming. And we think that will obviously create more engaging content for the content ecosystem. Longer term, obviously, we think there's a lot of value from operating our family of apps experiences on top of a new computing platform that we helped develop. You know, for example, having glasses on that enable you to have our meta AI assistant with you at all times. And as glasses scale, they'll make it increasingly easy to capture compelling content from a first person point of view while you're staying in the moment or the activity that you're doing. And sharing that content should enrich our content ecosystems even further. But again, the operating losses, you know, that are occurring within the Reality Labs segment are really driven by the Reality Labs work directly. And, you know, we think that over the sort of arc of the years ahead, there will be increasing shared benefits to our family of apps experiences.
spk05: Your next question comes from the line of Eric Sheridan with Goldman Sachs. Thanks for taking the questions.
spk00: Maybe on the business, I have two. One, when you see maybe a wider divergence than we thought in terms of some of the regional performance of the advertising businesses, anything to call out region by region in terms of either macroeconomic conditions or levels of product initiatives having been rolled out in different parts of the world that might lead to a wider divergence in operating performance in the ad business across the globe would be number one. And then two, Susan, You introduced this concept a couple of quarters ago about data center architecture, and you said it's now being deployed in the way you're allocating capital into the business. Is there any update on how we should be thinking about that on a multi-year view in terms of achieving additional capital efficiencies and be able to deploy less CapEx but maybe with a higher throughput or output on those dollars spent? Thank you.
spk02: Thanks, Eric. So your first question, I think, was about regional trends or regional themes in our ad revenue, which, as you saw this quarter, accelerated across all regions. To give you a little bit of color, in North America, we saw accelerate by seven points due primarily to strong demand from China advertisers. Note that North America didn't experience the same currency tailwinds that drove acceleration and year-over-year growth for the other regions. In our EU region, we saw that accelerate 21 points. There was a broad-based acceleration in the region, including demand from China advertisers and some benefit from currency tailwinds after facing currency headwinds in Q2. Asia Pacific accelerated nine points. We benefited from stronger demand in Southeast Asian countries and, again, the flip to currency tailwinds versus headwinds in Q2. Rest of world accelerated 20 points. We saw both stronger pricing and the same currency dynamic there. Brazil was a strong contributor to the region's acceleration due in part to increased advertisers demand from China advertisers targeting users in Brazil. Your second question was around the impact of the new data center architecture on our capex investments in the years to come. You know, we are still relatively early on this, we had to pause some of our existing data Center construction work, and you know to switch over to the new. The new data Center architecture that played through in some of our 2023 capex dynamics and going forward, you know, as I think we said when we introduce the concept of this architecture. We expect it to be more cost efficient for us, we expect it will give us greater fungibility in the way that we plan for. CPU and GPU capacity, so we expect that we'll be realizing the cost benefits and efficiencies and the planning flexibility that the architecture gives us in the years to come.
spk05: And your next question comes from the line of Mark Schmulich with Bernstein.
spk06: Yes, hi. Thanks for taking the question. The first is, you know, this month you started to roll out some of those first kind of Gen AI tools for ad creative. You know, we'll have to hear a little bit about kind of how that's going. Are advertisers using this? And really, is it creating better ads on their behalf? And then secondly, as we kind of look ahead here to the fourth quarter, there's certainly been a lot of, you know, unfortunate geopolitical kind of activity around the globe. You know, we'd love to just understand some color around how that affects kind of Meta's ad business. Thank you.
spk02: Hi thanks mark I can take both of those so your first question was around. Jenny I tools, especially for advertisers and you'll see that we have been increasingly testing these in our AI sandbox. And then, as they as they become more mature we incorporate them into our ads manager directly we've incorporated them into some of our advantage plus solutions. A few that I would highlight that we're rolling out this quarter are text variations, so generating multiple versions of ad text based on an advertiser's original copy that helps highlight the selling points of their products and services, giving them multiple text options to better reach their audience. Another one is image expansion, which helps adjust creative assets to fit different aspect ratios across multiple services like feed or reels. That allows advertisers to spend less time themselves trying to repurpose their creative assets in these different formats. Another one is background generation creating multiple backgrounds to complement the advertisers product images. Allowing advertisers to tailor their creative assets for different audiences and we're making this available actually through advantage plus catalog ads. And so we really feel like we've introduced quite a lot of new ads, products, and features. You asked about the Gen AI ones specifically, so those are the ones I highlighted. We've actually introduced a number of others that are related to other dimensions of the ad creation experience that we expect will help improve our advertising performance, will help advertisers drive sales, especially over the holidays, and especially in the Advantage Plus shopping suite. So we're very excited about about all of those upcoming launches. And we think that the early advertiser feedback has been very positive. Your second question was on looking ahead in Q4 and the impact of some of the geopolitical activity that we've seen around the world and how that might be affecting our business. So first, I think I should start by saying that, you know, our thoughts are with everyone who has been impacted by the horrific violence in the Middle East. And we know that Our services can be a vital tool for information and connection and expression at a moment like this. And we're continuing to monitor the situation and are doing everything we can to keep people safe and to keep our services secure. Now, in terms of how this translates into impact on the Q4 business, first of all, I should say that coming into Q4, we've been seeing continued strong advertiser demand in key segments, including online commerce and gaming. But having said that, we are also seeing more volatility at the start of the quarter. That's in part why we widened our guidance range to capture that uncertainty. And so, for instance, while we don't have material direct revenue exposure to Israel in the Middle East, we have observed softer ad spend in the beginning of the fourth quarter, correlating with the start of the conflict, which is captured in our Q4 revenue outlook. It's hard for us to attribute demand softness directly to any specific geopolitical event. Historically, we have seen broader demand softness follow other regional conflicts in the past, such as in the Ukraine war. So this is something that we're continuing to monitor. We've reflected the latest trends and advertiser reaction that we've seen into our Q4 outlook, which again, we think reflects the greater uncertainty and volatility in the landscape ahead. I want to add here, too, that we are pleased with the fundamentals of the business and with our execution. We've seen promising engagement trends. We're continuing to drive ad performance improvements. We're executing well on our company priorities. So we'll continue to stay focused in those areas, and we'll also remain disciplined with our investment approach as we navigate a volatile environment.
spk05: Your next question comes from line of Doug Anmuth with JP Morgan.
spk09: Thanks for taking the questions. One for Mark and one for Susan. Mark, I was hoping you could talk more about the Gen AI driven vertical chatbots and Meta AI Assistant rolled out at Connect a few weeks ago. How do you think about the potential for these products to improve both engagement and monetization over time? And then Susan, I know it's early, but I was hoping you could talk a little bit qualitatively about some of the puts and takes to 2024 revenue growth. And then, in particular, whether you'd expect revenue to grow faster than expenses, often normalized, revenue-based, backing out, restructuring. Thanks.
spk04: Sure, I can talk about some of the AI launches first. You know, we launched Meta AI, which is sort of an AI assistant that you can ask different questions and get access to real-time information, as well as generating images. And we also launched... the first version of AI Studio with several initial AI characters that you can interact with. Part of the idea here is that we think that having a basic assistant is really important, but we think that there are going to be lots of different AIs that people interact with. We think ultimately most creators are going to want one to help grow and engage their community. We think most businesses are going to want one to help support their customers and help drive commerce. So we think that there are going to be a lot of different AIs. In terms of engagement, the first order effect is, you know, I think is at scale. You know, I think that this is going to be one of the ways that people use our messaging apps and communicate with, you're going to talk to people and you'll talk to AIs. What the mix of that is, I think will kind of shift over time. And I don't think anyone can really predict that. But But this is a new use case that doesn't take away from people interacting with people. If anything, it should. We're designing these to make it so that they can help facilitate and encourage interactions between people and make things more fun by making it so you can drop in some of these AIs into group chats and things like that just to make the experiences more engaging. So this should be incremental and create additional engagement. The AIs also have profiles in Instagram and Facebook and can produce content and Over time, we're going to be able to interact with each other. And I think that's going to be an interesting dynamic and an interesting, almost a new kind of medium and art form. So I think that that will be an interesting vector for increasing engagement and entertainment as well. So I'm excited about that. Of course, whenever there's more engagement in the apps, that creates the opportunity for more monetization. So there's that on the monetization side. And then the other big opportunity on monetization, which I talked about up front, is just business messaging. You know, one of the big things that I think is a key unlock for making the business messaging, for making that business model work around the globe, is effectively making it so that businesses in countries where there's a higher cost of labor can have an AI that can respond to messages from people, so that way it's not cost prohibitive for them to engage in that type of interaction with customers. So I think that if we can as we are able to roll out the business AI is that that can really unlock and grow the business messaging business in a big way. But, you know, we have a lot of work to do to get there. So that's kind of a basic view on how I think this will affect the engagement in business.
spk02: I'm happy to take the second question. Thanks, Doug. We obviously have not shared a 2024 revenue outlook yet. You asked about what are some of the significant puts and takes, and I'd Maybe point back to what I said earlier about the Q4 outlook, just to highlight what a volatile macro environment we believe we're in. I think that will obviously have a big impact on the advertising market next year. And it's something we'll be keeping a very close eye on. But ultimately, you know, we're very subject to volatility in the macro landscape. Certainly, you know, our own ads performance is an area where we have invested a lot and we've seen a lot of increased value that we've been driving for marketers. You know, we've been increasing the conversions we deliver, higher and offering higher return on their ad spend. So, you know, we think that'll be an important factor. We're continuing to unroll a lot of new features, both Gen AI and not in our ads tool, and we're continuing to improve. the ranking and delivery models that underlie our ads infrastructure. We'll also be obviously lapping stronger periods, especially in, as you saw with this quarter's results. So all of those factors I think will play into the 2024 revenue outlook. You also asked about the kind of the expense philosophy next year, whether expense growth will be tied to revenue growth. You know, obviously the revenue outlook is uncertain. We talked a little bit about what's going into the preliminary expense guide for 2024. The big components there are around infrastructure expenses. You know, we do expect, given the increased capital investments that we have made in recent years, that depreciation expenses in 2024 will increase by a larger amount than in 2023. And we expect to incur higher operating costs from running a larger infrastructure footprint. The second big driver is on payroll. We anticipate payroll growth driven by the spillover of hiring that we had intended for 2023 into 2024. And we do expect that family of apps will be a larger source of payroll expense growth than Reality Labs in 2024. Additionally, hiring will generally be concentrated in technical roles, which will continue to shift our workforce composition towards a higher cost basis. And, of course, the final piece being Reality Labs operating losses, which we expect to increase in 2024 across both the expense growth from higher payroll costs as well as higher non-headcount costs to support the development of our next-gen VR and AR products. How the expense and revenue outlook come together, obviously, as we get more information on the revenue outlook for next year, you know, that will influence that. Ultimately, we have talked about the framework that we, you know, introduced in the past, we recognize that we have very ambitious, we have very ambitious investments on the horizon, including over a long time horizon with our reality labs work, and newer, equally ambitious investments we've added in the Gen AI roadmap more recently. And we recognize that we have to earn the ability to invest in all of those things by delivering consolidated operating income growth over time. So that's something we're very much focused on.
spk05: Your next question comes from line of Justin Post with Bank of America Merrill Lynch.
spk10: Great, thank you. I guess I'll ask about the DSA and DMA and also press reports that there could be a subscription offering in Europe. Maybe, Mark, how do you think about subscription usage for Facebook? Maybe an update on how MetaVerified is going and how you're thinking about the evolution of the model in Europe. Maybe we'll start with that. And then for Susan, I know you've talked a lot about Chinese advertisers. How do you think that could affect the growth as you comp that next year? Thanks a lot.
spk02: Hi Justin, thank you for the question, I think there are multiple parts there, and I will do my best to address all of them, but, of course, let me know if I miss anything so. The first question was sort of around operating in Europe, in particular the the legal basis for ads so as we announced in August, we. intend to evolve our legal basis for processing personal data for ads to a consent model in the EU, the EEA, and Switzerland, given the recent regulatory developments in those regions. We don't have any further details to share on the exact implementation at this time. We're continuing to engage with the DPC and other regulatory authorities on our proposed consent model, but we're committed to making this move as soon as possible, and we will provide an update when we have it. The second question you asked was about meta verified so you know we're still I think quite early here, but we've rolled out meta verified for creators to most markets globally. We continue to hear positive feedback from creators as we've helped them more easily establish their presence on Facebook and instagram we also have recently begun testing. Meta verified for businesses on Facebook and Instagram and select countries. And we have plans to expand that to businesses on WhatsApp in the future. And this will allow businesses to more easily stand out on our apps and build confidence with their customers and let their customers know that they're chatting with the right business. So we're encouraged by the early signs that we're seeing there. But again, very early and not a lot more to share right now. The third part of your question was around Chinese advertisers. Spend from Chinese advertisers further accelerated for us in Q3. We have benefited from strong investments from a few of our larger clients. We've also seen generally broader base strength from other China advertisers, and we believe factors such as lower shipping costs and easing regulations on the gaming industry have served as tailwinds here. But, you know, I think there has been a broader story of improved growth across all advertiser regions in Q3, and even excluding China advertisers, revenue growth has accelerated nicely. You know, and you kind of alluded to whether, you know, there's the sustainability of the China advertising revenue growth. And even though we've seen particularly strong growth this year, you know, I would say that there has been a longer term trend of overall growth with this segment dating back to, you know, past years and also periods of volatility in the past. Like in the last two years, we've seen periods with higher shipping costs, with lockdowns, with regulation weighing on demand. So we recognize there's the potential for volatility in the future as well. And especially given that there are so many macro factors at play that are quite hard to predict.
spk05: Your next question comes from a line of Yusuf Squally with Truist.
spk01: Thank you very much. Two quick questions for me first. Can you share any early lead into demand for the Quest 3? It's been out for 10 days, but I think it's been taking orders for at least the last three weeks. And is it price to be at least gross profit breakeven or not necessarily? And then second, Susan, for 2024, as we think about growth, can you speak maybe about political spend contribution that you've had back in 2020 and how that may inform how we should think about its contribution for 2024? Thank you.
spk02: Sure. So the first part of your question was early sort of signals with Quest 3. We are not sharing any explicit expectations for Quest 3, either Q4, Reality Labs, revenue, unit sales, et cetera. But we are very excited to have Quest 3 in market, in particular during the holiday shopping period. We think early reviews have been great, and we're very excited to have a product out there that are going to introduce a lot of people to mixed reality experiences for the first time. So it's very early. I think we don't have very many more specifics, but again, we're quite excited to have it in the market and to have it in particular during the holiday marketing season. Your second question was about political spend. And so this is a place where, you know, I would say we saw acceleration and positive year-over-year growth in all verticals this quarter, really, except politics, which is lapping the lead-up to the 2022 U.S. midterms last year. So I will say, though, that this is also just a very small vertical for us, so there's not too much more to add there.
spk07: Dave, we have time for one last question.
spk05: Certainly. Thank you. That will come from the line of Ross Sandler with Barclays.
spk03: Great. Hey, Mark, just going back to the AI agent theme, I know it's early, but how would you rank the overall strategy here around these AI agents and AI studio compared to other big initiatives that Meta has made in FOA over the years? Is this bigger than or as big as the stories transition or the reels transition? And any thoughts just kind of high level on that? And then the cost of serving up responses, especially stickers and images, is a little bit more expensive than your core business of, you know, aggregating the newsfeed. So, you know, how much more expensive, I guess, is the question. And are there things you can do to bring that cost down? Thanks a lot.
spk04: Yeah, sure. In terms of how big this is going to be, It's hard to predict, you know, because I don't think that anyone has built what we're building here. You know, I mean, there are some analogies like, you know, what OpenAI is doing with ChatGPT, but that's pretty different from what we're trying to do. You know, maybe the meta-AI part of what we're doing overlaps with the type of work that they're doing, but the AI... Characters piece and there's a consumer part of that. There's a business part. There's a creators part I'm just not sure that anyone else is doing this and you know when we were working on things like stories and reels There were some market precedents before that here. There's technology which is extremely exciting But I think part of what you know leading in an area and developing a new thing means is that you don't quite know how big it's going to be but you know what I'd predict is that I do think that the fundamental technology around generative AI is going to transform meaningfully how people use each of the different apps that we build. I think, you know, for the feed apps, I think that over time more of the content that people consume is going to be either generated or edited by AI. Some of it will be creators will now have all these tools to make content more easily and more fun. And I think over time, maybe we'll even get to the point where we can just generate content directly for people based on what they might be interested in. I think that that could be really compelling. On the messaging side, I think that the way that we're looking at these AIs kind of ties into that directly, where you'll be able to message with Meta AI or any of these different AIs, whether it's for fun, you have a question about something, you want help doing something, you want to play a game, or you want to message with a business for commerce, or you want to engage with your favorite creator, and they wouldn't normally otherwise have time to message you back, but now they have an AI representing them that can, and that that will accrue to messaging behavior. It's going to change advertising in a big way. It's going to make it so much easier to run ads, You know, businesses that basically before would have had to create their own creative or images now won't have to do that. They'll be able to test more versions of creative, whether it's images or eventually video or text. That's really exciting, especially when paired with the recommendation AI. On the hardware side, I mean, obviously the smart glasses that we just rolled out, we sort of thought were a precursor to eventually getting to displays and holograms for augmented reality, and I think we will eventually get there still. It's not that far off, but I think that now the ability to deliver AI through smart glasses may end up being a killer use case for that even before you get to the kind of augmented reality type of use cases. So I think you're basically seeing that there are going to be – this is a very broad and exciting technology. And frankly, I think that this is partially why working in the technology industry is so awesome, right, is that every once in a while something – comes along like this, that like changes everything and just makes everything a lot better. And in your ability to just be creative and kind of rethink the things that you're doing to be better for all the people you serve. I mean, I just think that's a lot of what is energizing and fun around building companies like this. But yeah, it's hard sitting here now to be able to predict what the metrics are going to be around, like what the balance of messaging between AIs and people or what the balance in feeds between AI content and people content or anything like that. But I mean, I'm highly confident that this is going to be a thing, and I think it's worth investing in. To the question about efficiency and costs, I think initially, it's most important to focus on getting to product market fit. And we obviously care a lot about efficiency, right? I mean, the CapEx costs for our company are very significant, and it's one of the main things that weighs on the economic model of the company. So on the one hand, as we can improve the efficiency, we're able to do things like train bigger models and serve more people, which currently right now we're going to be bottlenecked on based on the amount of infrastructure that we have as this gets to the scales that we aspire to get to. Um, so in the near term, you know, the efficiency wins will primarily just be to deliver better products to more people, but over time, um, we're going to continue working on that. And I think we've been able to do pretty good work on, on efficiency, on our, our hardware and compute. And, you know, over the longterm, once we kind of have more of an understanding about what these products want to be, um, then we'll be able to drive the economic model based on that. But, um, we'll work on that all throughout, but I think we're still in the pretty early part of that curve.
spk07: Great. Thank you for joining us today. We appreciate your time and we look forward to speaking with you again soon.
spk05: This concludes today's conference call. Thank you for joining us. You may now disconnect your lines.
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