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 Second 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 1, then the number 4 on your telephone keypad. This call will be recorded. Thank you very much.
Kendarell, Meta Director and Investor Relations, you may begin.
肯德雷尔,元总监和投资者关系的负责人,你可以开始了。
Thank you. Good afternoon and welcome to Meta Platform's Second 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 forward-looking statements. Actual results may differ materially from those contemplated by these forward-looking statements. Factors that could cause these results to differ materially are set forth in today's press release and in our quarterly report on Form 10Q, filed 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 GAP and certain non-GAP financial measures. A reconciliation of GAP to non-GAP 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.
Thanks, Ken. Thanks, everyone, for joining. This was a good quarter for our business. We're seeing strong engagement trends across our apps. There are now more than 3.8 billion people who use at least one of our apps every month. This book now has more than 3 billion monthly active with daily active continuing to grow around the world, including in the US and Canada.
In addition to our core products performing well, I think we have the most exciting roadmap ahead that I've seen in a while. We've got continued progress on threads, reels, llama2, and some groundbreaking AI products in the pipeline as well as the Quest 3 launch coming up this fall. We're heads down executing on all this right now. And it's really good to see the decisions and investments we've made start to play out.
On threads, briefly, I'm quite optimistic about our trajectory here. We saw unprecedented growth out of the gate. And more importantly, we're seeing more people coming back daily than I'd expected. And now we're focused on retention and improving the basics. And then after that, we'll focus on growing the community to the scale that we think is going to be possible. Only after that, are we going to focus on monetization. We've run this playbook many times before with Facebook, Instagram, WhatsApp, stories, reels, and more. And this is as good of a start as we can have hoped for. So I'm really happy with the path that we're on here.
One note I want to mention about the Thread's launch related to our year of efficiency is that the product was built by a relatively small team on a tight timeline. We've already seen a number of examples of how our users or a leaner organization and some of the cultural changes that we've made can build higher quality products faster. And this is probably the biggest example so far.
The year of efficiency was always about two different goals, becoming an even stronger technology company and improving our financial results so we can invest aggressively in our ambitious long-term roadmap. Now that we've gotten through the major layoffs, the rest of 2023 will be about creating stability for employees, removing barriers that slow us down, introducing new AI-powered tools to speed us up, and so on.
Over the next few months, we're going to start planning for 2024. And I'm going to be focused on continuing to run the company as lean as possible for these cultural reasons, even though our financial results have improved. I expect that we're still going to hire in key areas, but newly budgeted headcount growth is going to be relatively low. That said, as part of this year's layoffs, many teams chose to let people go in order to hire different people with different skills that they need, so much of that hiring is going to spill into 2024.
The other major budget point that we're working through is what the right level of AI CapEx is to support our roadmap. Since we don't know how quickly our new AI products will grow, we may not have a clear handle on this until later in the year.
Now moving on to our product roadmap, I've said on a number of these calls that the two technological waves that we're riding are AI in the near term and the metaverse over the longer term.
Investments that we've made over the years in AI, including the billions of dollars we've spent on AI infrastructure, are clearly paying off across our ranking and recommendation systems and improving engagement and monetization.
AI-recommended content from accounts you don't follow is now the fastest growing category of content on Facebook's feed. Since introducing these recommendations, they've driven a 7% increase in overall time spent on the platform. This improves the experience because you can now discover things that you might not have otherwise followed or come across.
Reels is a key part of this discovery engine and Reels plays exceed 200 billion per day across Facebook and Instagram. We're seeing good progress on Reels monetization as well with the annual revenue run rate across our apps now exceeding $10 billion up from $3 billion last fall.
Beyond Reels, AI is driving results across our monetization tools. There are automated ads products, which we call meta advantage. Almost all our advertisers are using at least one of our AI-driven products. We've also deployed MetaLattice, a new model architecture that learns to predict an ad's performance across a variety of data sets and optimization goals. We introduced AI Sandbox, a testing playground for generative AI powered tools like automatic text variation, background generation, and image outcropping.
Business messaging is another key piece of our monetization strategy. We recently announced that the 200 million users of our WhatsApp business app will now be able to create click-to-WhatsApp ads for Facebook and Instagram without needing a Facebook account. This is a pretty big unlock, particularly in countries where WhatsApp is often the first step to bring a business online.
Paid messaging is a bit earlier, but it's also showing good adoption. The number of businesses using our paid messaging products has doubled year over year. While we're on messaging, I'll mention that we started rolling out channels on WhatsApp last month. It's a simple, reliable and private way to receive important updates from people and organizations. I'm quite excited for more people to try it as we bring the product to more countries through the rest of this year.
Beyond the recommendations and ranking systems across our products, we're also building meeting foundation models to support a new generation of AI products. We partnered with Microsoft to open source llama2, the latest version of our large language model and to make it available for both research and commercial use.
We have a long history of open sourcing our infrastructure and AI work from PyTorch, which is the leading machine learning framework to models like segment anything, image bind and Dino to basic infrastructure as part of the open compute project. We found that open sourcing our work allows the industry, including us, to benefit from innovations that come from everywhere. These are often improvements in safety and security since open source software is more scrutinized and more people can find and identify fixes for issues. The improvements also often come in the form of efficiency gains, which should hopefully allow us and others to run these models with less infrastructure investment going forward.
So I'm really looking forward to seeing the improvements that the community makes to llama2. We were also building a number of new products ourselves using llama that will work across our services. I'm going to share more details on that later this year, but you can imagine lots of ways that AI can help people connect and express themselves in our apps. Creative tools that make it easier and more fun to share content. Agents that act as assistants, coaches, or that can help you interact with businesses and creators and more. These new products will improve everything that we do across both mobile apps and the metaverse, helping people create worlds and the avatars and objects that inhabit them as well.
Our investments in AI continue. We remain fully committed to the metaverse vision as well. We've been working on both of these two major priorities for many years in parallel now. In many ways, the two areas are overlapping and complementary.
The next big thing on the reality lab side is the launch of our Quest 3 mixed reality headset at Connect. It's our most powerful headset yet with better displays and resolution and next-gen Qualcomm chipset with twice the graphics performance. It will also have the best immersive content library out there and it's 40% thinner than Quest 2. It's mixed reality seamlessly blends your physical world and the virtual one by intelligently understanding the physical space around you. We pioneered mixed reality with our Quest Pro headset and Quest 3 takes that to the next level.
Others in the industry are of course working on bringing mixed reality to the market too but Quest 3 is going to be the first mainstream accessible device that we expect many millions of people will get to experience this technology with.
The metaverse content and software vision continues coming together as well. We recently announced that Roblox is coming to Quest with an open beta on app lab.
For Horizon, the team is focused on retention right now and we're making good progress on that. We made big improvements on avatars as well and that's going to be a bridge between our mobile apps and our VR and mixed reality experiences.
We have a lot more to share on both our metaverse and AI work coming up at our Connect conference which we're going to be hosting in Hacker Square at our headquarters on September 27th. It's going to be a good one so I hope you tune in.
All right to wrap up I just want to say that I'm really proud of our teams for everything that we've accomplished so far this year. It's been a tough year in a lot of ways but it's also been an impactful one. I'm quite optimistic about the road ahead and I'm grateful to all of you for being on this journey with us and now I'm going to head over to Susan.
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. Q2 total revenue was $32 billion up 11% or 12% on a constant currency basis. Q2 total expenses were $22.6 billion up 10% compared to last year.
In terms of the specific line items cost a revenue increased 15% driven primarily by infrastructure related costs. R&D increased 8% driven mainly by headcount related costs from our reality labs and family of app segments as well as restructuring costs. Marketing and sales decreased 12% due mostly to lower marketing spend and payroll related costs and G&A increased 39% due primarily to an increase in legal accruals which was partially offset by lower payroll related costs.
We ended the second quarter with over 71,400 employees down 7% from the first quarter. Our second quarter headcount still included roughly half of the approximately 10,000 employees impacted by the 2023 layoffs. We expect that our third quarter headcount will no longer include the vast majority of impacted employees.
Second quarter operating income was $9.4 billion representing a 29% operating margin. Our tax rate for the quarter was 16%. This is lower than our previous full year outlook as our higher share price provided a higher tax deduction and lower our taxes. Net income was $7.8 billion or $2.98 per share. Capital expenditures including principal payments on finance leases were $6.4 billion driven by investments in data centers, servers and network infrastructure.
Free cash flow was $11 billion significantly benefiting from a deferral of income taxes that we expect will be paid in the fourth quarter. We repurchased $793 million of our class A common stock in the second quarter and ended the quarter with $53.4 billion in cash and marketable securities. Moving now to our segment results.
I'll begin with our family of app segment. Our community across the family of apps continues to grow. We estimate that approximately 3.07 billion people used at least one of our family of apps on a daily basis in June and that approximately 3.88 billion people used at least one on a monthly basis. Facebook continues to grow globally and engagement remains strong.
For the first time we crossed 3 billion monthly active users with Facebook MAU ending at 3.03 billion in June up 3% or 96 million compared to last year. Facebook daily active users were 2.06 billion up 5% or 96 million. DAUs represented approximately 68% of MAUs.
Q2 total family of apps revenue was $31.7 billion up 12% year over year. Q2 family of apps ad revenue was $31.5 billion up 12% or 13% on a constant currency basis. Within ad revenue the online commerce vertical was the largest contributor to year over year growth followed by entertainment and media and CPG.
Online commerce 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 at 16% followed by Europe North America and Asia Pacific at 14% 11% and 10% respectively. Foreign currency was a headwind to advertising revenue growth in all international regions.
In Q2 the total number of ad impressions served across our services increased 34% and the average price per ad decreased 16%. Impression growth was primarily 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 $225 million in Q2, up 3%. As strong business messaging revenue growth from our WhatsApp business platform was partially offset by a decline in other line items. We continue to direct the majority of our investments toward the development and operation of our family of apps. In Q2, family of apps expenses were $18.6 billion, representing approximately 82% of our overall expenses. FOA expenses were up 8% due primarily to legal-related expenses and restructuring charges, partially offset by a decrease in non-headcount related operating expenses, including marketing. Family of apps operating income was $13.1 billion, representing a 41% operating margin.
Within our reality lab segment, Q2 revenue was $276 million, down 39% due to lower Quest 2 sales. Reality Labs expenses were $4 billion, up 23% due to lapping a reduction in reality labs lost reserves in Q2 of last year, as well as growth in employee-related costs. 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 within Facebook and Instagram remains strong. Reels continues to grow and drive incremental engagement. On Facebook feed, in particular, recommended content from accounts you don't follow has increased significantly over the past year while also becoming more incremental to engagement, demonstrating that people are getting added value from discovering content from unconnected accounts. Looking forward, we're optimistic about our ability to increase that value even further by leveraging advanced AI techniques to improve recommendations.
In addition to improving the value people get within our family of apps today, we're also investing in entirely new experiences for the future. We're standing up infrastructure to support new AI-powered products across our services, which will give people more tools to express themselves and connect. And we've been pleased with the initial reception of our new standalone app Threads since its launch earlier this month. Our focus now is on further developing this into a product that will be valuable for a large set of people over time.
Moving to the other driver of revenue, improving monetization. Here we're focused on improving monetization efficiency of products that monetize at lower rates today, like Reels and our messaging services, and more broadly driving measurable performance and returns for our advertisers. On Reels, we are making good progress on monetization, with more than three quarters of our advertisers now using Reels ads. We remain focused on further reducing the Reels revenue headwind and narrowing the monetization efficiency gap with our more mature services. However, we continue to expect time on Reels will monetize at a lower rate than stories and feed for the foreseeable future since people scroll more slowly through video content.
Within messaging, billions of people and millions of businesses use our messaging services every day to connect. We see a significant opportunity to build tools and functionality for businesses to help facilitate those interactions and are seeing early but promising progress with WhatsApp's paid messaging solution today.
In terms of our work to drive measurable performance for advertisers, it's concentrated in two primary areas: AI and on-site conversions. We're leveraging AI to move our systems towards using fewer larger models that enable us to leverage learnings across product surfaces and deploy improvements more quickly, broadly, and efficiently. We're also leveraging AI to power advanced ads products like Advantage Plus Shopping, which continues to gain adoption. We're seeing this work translate into results for advertisers as conversion growth remains strong in Q2.
就我们为广告商带来可衡量的业绩方面而言,我们的工作主要集中在两个主要领域:AI和站内转化。我们正在利用AI使我们的系统向更少的更大的模型转变,从而能够在产品表面上利用所学到的知识,并更快、更广泛、更高效地部署改进措施。我们还利用AI支持先进的广告产品,如Advantage Plus Shopping,该产品的采用率持续增长。我们看到这项工作正在为广告商带来成果,转化增长在第二季度仍然强劲。
In terms of driving on-site conversions, we continue to see strong results with click to messaging ads and our well positioned given our suite of messaging applications. Daily click to WhatsApp ads revenue continues to grow very quickly at over 80% year over year. We also recently started testing the ability to buy click to WhatsApp ads directly from the WhatsApp Business app, which now has more than 200 million monthly users. Looking ahead, we're focused on enabling businesses to optimize for conversions further down the funnel in our messaging applications. We're also investing in scaling other on-site objectives like lead generation and shop ads.
Before turning to our revenue outlook, I'd also like to talk about our investment philosophy. We expect to bring the discipline and habits that we built during this year of efficiency with us as we plan for the future. At the same time, we remain focused on investing in the significant opportunities ahead.
Part of supporting these initiatives will come from prioritizing them against other areas of work and shifting resources. However in some cases they will require incremental investment. This is particularly true in the areas we see the most significant opportunity which include AI and the metaverse.
As I mentioned last quarter we also remain focused on modestly evolving our capital structure over time. We were pleased to execute our second bond offering in May and expect a measured pace of future debt raises as we work toward improving our overall cost of capital while maintaining a positive or neutral net cash balance.
In addition we continue to monitor the active regulatory landscape. With respect to EU US data transfers we saw a positive development with the European Commission's adoption of a final adequacy decision which allows us to continue to provide our services in Europe. This is good news though broadly speaking we continue to see increasing legal and regulatory headwinds in the EU and the US that could significantly impact our business and our financial results.
Turning now to the revenue outlook we expect third quarter 2023 total revenue to be in the range of 32 to 34 and a half billion dollars. Our guidance assumes a foreign currency tailwind of approximately 3 percent to year over year total revenue growth in the third 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 88 to 91 billion dollars increased from our prior range of 86 to 90 billion dollars due to legal related expenses recorded in Q2. This outlook includes approximately four billion dollars 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.
我们预计现实实验室的营运亏损在2023年将会同比增加。
While we are not providing a quantitative outlook beyond 2023 at this point we expect a few factors to be drivers of total expense growth in 2024 as we continue to invest in our most compelling opportunities including AI and the metaverse. 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 and payroll expenses as we evolve 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 capital expenditures to be in the range of 27 to 30 billion dollars lowered from our prior estimate of 30 to 33 billion dollars. The reduced forecast is due to both cost savings particularly on non-AI servers as well as shifts in CAPEX into 2024 from delays in projects and equipment deliveries rather than a reduction in overall investment plans.
Looking ahead while we continue to refine our plans as we progress throughout the year we currently expect total capital expenditures to grow in 2024 driven by our investments across both data centers and servers particularly in support of our AI work.
Onto tax. Abs in any changes to US tax law we expect the tax rate for the rest of the year to be similar to Q2 2023.
关于税收方面,在美国税法的任何变动中,我们预计今年剩余时间的税率将与2023年第二季度类似。
In closing Q2 was a good quarter for our business. We're executing well across our core priorities and are continuing to make progress on delivering exciting new experiences for our community.
With that Dave let's open up the call for questions.
随着这个,戴夫,我们现在开始接受问题了。
Certainly and thank you very much. 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 touch tone 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 your line is open.
你第一个问题来自摩根士丹利的Brian Novak,请问你有什么问题吗?
Thanks for taking my questions. Maybe a two-parter for Mark. Mark you spoke in a few times over the last few months on AI agents that are building different types of assistance through llama. I guess the two-par question is can you sort of talk to us a little bit about some of the use cases or consumer appetizer offerings you're most excited about enabling for some of these AI agents.
And then the second one just sort of level set on timing a bit. Can you just help us understand some of the larger technological barriers in your mind the teams will need to overcome to really scale these types of agent products across the ecosystems.
Thanks. Sure so I think the main thing that I'll say on this for now is tune in to connect coming up in September. We're going to have a lot more to talk about on the roadmap and products that we're launching. We wanted to get the llama 2 model out now that's going to be that's going to underpin a lot of the new things that we're building. And now we're nailing down a bunch of these additional products and this is going to be stuff that we're working on for years but I think a lot of the journey will kind of start later this year when we start rolling out some of these things.
But overall I think that there are three basic categories of products or technologies that we're planning on building with generative AI. One are around different kinds of agents which I'll talk about in a second. Two are just kind of generative AI powered features. So some of the canonical examples of that are things like in advertising, helping advertisers basically run ads without needing to supply as much creative or if they have an image but it doesn't fit the format be able to fill in the image for them. So I talked about that a little bit upfront in my comments but there's stuff like that across every app. And then the third category of things I'd say are broadly focused on productivity and efficiency internally. You know, so everything from helping engineers write code faster to helping people internally understand the overall knowledge base at the company and things like that. So there's there's a lot to do on each of those zones.
For AI agents specifically I guess what I'd say is one of the things that's different about how we think about this compared to some others in the industry is we don't think that there's going to be one single AI that people interact with. Just because there are all these different entities on a day to day basis that people come across whether they're different creators or different businesses or different apps or things that you use. So I think that there are going to be a handful of things that are just sort of focused on helping people connect around expression and creativity and facilitating connections. I think there are going to be a handful of experiences around helping people connect with the creators who they care about and helping creators foster their communities. And then the one that I think is going to have the fastest direct business loop is going to be around helping people interact with businesses.
And you can imagine a world on this where over time every business has an AI agent that basically people can message and interact with. And it's going to take some time to get there. This is going to be a long road to build that out. But I think that's going to improve a lot of the interactions that people have with businesses as well as if that does work. It should alleviate one of the biggest issues that we're currently having around messaging monetization is that in order for a person to interact with a business it's quite human labor intensive for a person to be on the other side of that interaction. Which is one of the reasons why we've seen this take off in some countries where the cost of labor is relatively low. But you can imagine in a world where every business has an AI agent that we can see the kind of success that we're seeing in Thailand or Vietnam with business messaging could kind of spread everywhere and I think that's quite exciting.
But overall I think we're going to follow a playbook that's similar to what we normally do on products. In terms of how quickly some of these new products scale that's one of the big unknowns for the business. And one of the things that we're debating heavily when thinking through the amount of AI CapEx to bring online because the reality is we just don't know how quickly these will scale and we want to have the capacity in place in case they scale very quickly. But because they're kind of brand new things there aren't that many precedents for things like this it's actually quite hard to forecast. So I don't know if Susan if there's anything on that last point that you want to jump in on. But I think that's probably all I'll say on this for now.
But I'm really excited about this. I think that this is just going to be you know it fits into all the different products that we're building really well. I think that this is going to both complement and touch and transform every single thing that we're doing. And I'm really excited for it. So tune in to connect. Here next question comes from line of Eric Sheridan with Goldman Sachs. Your line is open. Thanks so much for taking the questions. Maybe one for Mark one for Susan.
Mark just following up on Brian's question. I do want to ask just to draw that out a little bit more how you think about the extensions of the developer community sort of growing up around a platform like llama too. And we were intrigued by the Microsoft announcement. You know you traditionally have been more of a consumer facing company with product could provide you an avenue to be more of an enterprise facing company over the long term. And is there a strategy there? Maybe we haven't seen from you in the past. I'd love to flesh that out a little bit.
And Susan just one for you. The VRL losses just continue to build. And I think we continue to struggle a little bit of what the drivers of those losses are. And how should we think about some of the components driving the losses versus elements of earning a return on those losses over the medium to long term as Mark sort of frame the timeframe around metaverse. So any color they are about sort of rate of change or components of the losses in VRL I think would be super helpful. Thanks so much to you both. Yeah sure I'll take a cut at both of those and Susan can jump into the second one if there's any if there's anything that she wants to add there as well.
All right so llama is an open source project which is a little bit different from building out a developer platform although there will be an ecosystem around this. You know what we've seen around open source work that we've done which we've done a lot of in our core infrastructure work you know design of servers and data centers and basic infrastructure as well as an AI. And I point out some of these in my remarks up front like PyTorch and just a bunch of other models that we've released recently.
One of the things that we've seen is that when you release these projects publicly and open source there tend to be a few categories of innovations that the community makes. So on the one hand it's I think it's just good to get the community standardized on the work that we're doing that helps with recruiting because a lot of the best people want to come and work at the place that is building the things that everyone else uses. It makes it that people are used to these tools from wherever else they're working that can come here and build here.
But in terms of improvements that we expect to see from the community there were really a few different types. One is specifically around safety and security. It's a very important issue in AI. In open source software overall we've just seen through the history here that open source software gets scrutinized more and therefore ends up being more secure and safer. And we think that there's a very good chance that's the likely outcome here and whatever improvements that people make to harden it in the community we'll be able to roll that in to our work both for the first party products that we'll launch as well as making it easy to propagate that across the industry and make the AI that everyone uses safer.
I would also hope to see efficiency improvements. I mean even from the initial llama that was just released as a research project some of the improvements were around things like quantization and being able to run the model way more efficiently. Now we're spending so much on AI CapEx that all the help that we can get from the community to make this stuff more efficient to run will be helpful not just for individuals to be able to run powerful models on their laptop or locally or without a huge amount of compute so individuals can afford it but that should hopefully translate over time into just a more efficient infrastructure for us which hopefully could be quite a big savings. So that's more what we're seeing there.
We partnered with Microsoft specifically because we don't have a public cloud offering so this isn't about us getting into that it's actually the opposite. We wanted to work with them because they have that and others have that and that was the thing that we aren't planning on building out but one of the things that you might have noticed is in addition to making this open through the open source license we did include a term that for the largest companies specifically ones that are going to have public cloud offerings that they don't just get a free license to use this they'll need to come and make a business arrangement with us and our intent there is we want everyone to be using this we want this to be open but if you're someone like Microsoft or Amazon or Google and you're going to basically be reselling these services that's something that we think we should get some portion of the revenue for so those are the deals that we intend to be making and we've started doing that a little bit. I don't think that that's going to be a large amount of revenue in the near term but over the long term hopefully that can be something. Not sure if there's anything else to add on that but Susan you can jump in if you want.
On RL let me just jump over to that for a second. I don't think we're going to break out numbers right now but I'll defer to Susan on that. I mean one big thing for the next year is the launch three right and basically you know this is going to be the biggest headset that we've released since 2020 when we came out with Quest 2 and there are just a lot of expenses related to bring that to market and I think that's at least in the near term going to be one of the major drivers of this. So I think that's probably the main thing that I would point to there.
You know we're continuing to I continue to think you know looking at the VR work that we're doing and the AR work some of the neural interfaces work I think we're leading in these areas. You know it's been good to see what others in the industry have done because to some degree it gives us more confidence that we're on the right track and you know even though you know I know from an investor standpoint most people aren't investing on quite as long of a time horizon as we are here so I kind of get that a lot of investors might want to see us spending less here in the near term. My view is that we're leading in these areas I believe that they're going to be big over time you know where I think we've shown that we can deliver good business results in the near term while investing ambitiously in the long term so I'm planning on continuing to do that and I do continue to believe that over time we will be happy that we did that. So I don't know if Susan if there's anything you want to add there.
Sure let me just add a couple things very quickly on the first question I just want to clarify that we don't expect that llama is going to result in a separate top line enterprise revenue line so just making sure we're totally clear. On the second question about the growth in reality labs operating losses in 2024 you know Mark alluded to the fact that you know this is an ambitious long-term horizon multifaceted roadmap there are lots of components to the reality labs portfolio across VR AR metaverse social platforms neural interfaces and we really have a long-term time horizon for evaluating the return on our investments here. So in the near term we're focused on growing adoption of the existing products and we're constantly learning more about demand and use cases that inform our future plans but a lot of the investment that's driving the growth here is around conducting the fundamental R&D to solve hard technology problems that are going to enable our vision here. A lot of it is around clearing technical hurdles that will make you know make subsequent devices smaller, cost less, way less, etc. So that's really on the reality website you know again as we said we expect operating losses to increase meaningfully year-over-year in 2024. In 2024 specifically I think that will be driven by a combination of both headcount related and operating costs but again our ambitions in reality labs you know haven't changed and it continues to be a significant long-term opportunity for us.
Your next question comes from line of Mark Schmülick with Bernstein. Your line is open. Great thanks for taking the question. Mark things quickly like a month ago we weren't talking about real quarter ago we weren't talking about llama and start of the year we were barely talking about AI. You know if you think back to kind of just how you were prioritizing your time at the start of the year to kind of where you are today and how that's kind of changed well let's just get some color on kind of the changing priorities and you know really where you're spending your time.
And then the second question you know really impressive obviously acceleration and growth and kind of the core ad business. Well let's just get some color you know kind of beyond the vertical contribution. You know what are you seeing in terms of kind of adoption of advantage plus products really driving some of that you know improved growth especially what we've seen relative to the rest of the sector. Thank you.
Yeah I can I can start with the first and then Susan can take the second. And you know I actually think our priorities have been pretty consistent for a few years now. I think the way that people hear them might be different but you know for example last year I think we were getting quite a bit of critique for the volume of AI capex spending that we were doing and now you know obviously people want to understand where that's going and where we think that trajectory is going and want to make it as efficient as possible. But I think at this point it's more well understood that that you know I think that was a good investment and it's driving results in the near term and enabling us to build some of the new experiences that I think we all think are are pretty fundamental.
I don't think Reels is new although maybe you meant threads when you said that. Threads I would say it's not that threads is like it's not a massive project it was you know I've thought for a while that that the opportunity around public conversations and kind of a text-based product was bigger than what you know had been executed yet in the market so we we had a relatively small team work on that and you know this year I think there have been two things that have been that have just vastly exceeded my expectations. One was llama you know the the initial model you know we thought it was interesting but the scale of adoption even just for the research version really spurred us to go do llama too and that was vastly more than we expected and the second is threads has been dramatically more than than we expect in terms of the adoption and the rate of that you know we thought this was going to be kind of a project that we just you know we had a small team working on for a while but it really kind of blew up and created a big opportunity immediately.
But no I mean I think over time you should expect that we're going to focus on AI and the metaverse. AI includes both all of the ranking and recommendation systems that power the core apps so you know all the content that you're seeing in Facebook and Instagram all the ads content that you're seeing it's also underpins all the safety systems that that we that we build increasingly it's it's all the generative AI stuff so all the agents all the generative features that we're going to be rolling out and a lot of the other work that's going to underlie some of the efficiency stuff they were doing internally and then the metaverse stuff I think we've talked about for a while so I don't think that there's much change there except that you know I'd say the signals that we're getting from the market are you know it's certainly not getting adopted a lot faster than we expected so that's that's sort of the somewhat sobering signal but on the other side I think a lot of companies that otherwise are doing you know we respect and do great work we don't necessarily view is building things that are ahead of where we are which which gives us confidence that and we think that the long-term thesis still will hold there we think that we're going to be the leaders in it and nothing that we're seeing from the market makes us you know rethink that in a fundamental way so I think we're going to we're going to continue focusing on AI in the metaverse is the two big thrusts of what we're doing and all the other things you know or kind of fall out of that.
And Mark I'll take the second question that you asked around the Q2 revenue acceleration so I think there were a couple parts one was around the acceleration in the core ads business the second was on the advantage plus products in terms of the Q2 revenue acceleration I'd highlight there are a few factors driving that the first is frankly we're lapping a weaker demand period including the first full quarter of the war in Ukraine and the suspension of our services in Russia second you know we saw increased supply and improvements to add performance including improved reels monetization as we continue. to work down the reels revenue headwind and third there were lower fx headwinds for us this quarter so those were all three you know things that that helps drive the revenue acceleration in Q2 in terms of the question about advantage plus advantage plus specifically you know advantage plus is one of multiple AI powered ad products that we have right now in the market with advantage plus specifically we're seeing strong adoption in particular success with the e-commerce and retail verticals and then we've seen good traction with other verticals like cpg especially dtc brands and we're continuing to launch features to unlock use cases for advertisers and make it easier for them to adopt advantage plus campaigns and measure their performance gains so we've got a lot in the pipeline there that we're excited about for both the advantage plus shopping campaigns specifically which were our first sort of foray into this this area but then the advantage plus portfolio more broadly that basically enables us to take that same playbook of helping advertisers iterate and test very quickly and imply it to many different steps of the end-to-end ad buying experience so the feedback and results that we've seen from advertisers is good and you know we think it's a really promising area that we're continuing to invest in but it's one of many ways that we're using AI to continue to sort of help make our ads systems and recommendations and ranking engines more performant to deliver better measurement and results advertisers
Your next question comes from a line of Justin Post with Bank of America Merrill Lynch. Justin, your line is open.
您的下一个问题来自银行美银美林的贾斯汀·波斯特(Justin Post)。贾斯汀,你可以发言了。
Great, thank you for taking my question.
太好了,谢谢您回答我的问题。
I guess I want to follow up on Reality Labs, passing $40 billion in losses and increasing annually next year. Just think about maybe help us understand how the ROI on the business, how you're thinking about that investment either on a standalone basis or as a complement to the family of apps.
You know, if you're thinking about it from an investor perspective. Thank you. Well, I think it's both over time. Um, you know, the primary way that I think about this is that, you know, we've been able to show that we can, we've, I think, been quite successful at building, you know, large-scale social experiences. Um, within the constraints of platforms that, you know, often our competitors are defining.
Um, you know, I think we're going to be able to do even better work and there's a lot of things that I would like to see us build that we just can't because we're of the ways that we're constrained by the competitors who who build these platforms and um in over time the main way that i think about this is from a product and mission perspective is you know we're here to build awesome experiences that help people connect i think helping to shape the next platform is going to unlock that and in a profound way for decades to come and you know that's what what i'm here to do and i think what a lot of people are here to do um so so that's kind of the the first principles part of this
from a business perspective i think that there's going to end up being a large business component of this that is reality lab specific um directly you know the products that we're that we're building there and and and having that be a good business um but i also think that a lot of this is going to be that it unlocks a lot of value for the other experiences the current apps that we have what you think of is the family of apps um where we uh you know currently just a lot of the potential value whether it's just engagement that could be created features that we would love to build that we're not allowed to because apple or others just don't allow us to build those things um and and you know i i think that that's really unfortunate for the the industry um you know i think that there's a lot of lost engagement that would have happened um a lot of the monetization and value that gets created i mean just look at what happened with that app tracking transparency the massive value destruction for small businesses um because of the rules that were set by by another platform
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and that's not um you know that's not you know in a future version of the world it's not um that would be recognized not by device sales or some new like the experience that we're building in reality labs you would you would basically see that accrue through um more efficient monetization of the the apps and experiences that were that were we're building other places so um i think it's going to be both but i think this is just a very fundamental thing this is a very long-term bet i i you know at a deep level i understand the discomfort that a lot of investors have with it because it's just outside of the model of um of i think you know even most long-term investors how you would think about this um and and look i mean i can't guarantee you that i'm going to be right about about about this bet um you know i i do think that this is the direction that the world is going in um you know there are you know billion or two billion people have glasses today i think in the future they're all going to be smart glasses and and like and um you know all the the the time that we spend on on tv's and computers i think that's going to get a more more immersive and and look something more like vr in the future um and and i think that you know what we're seeing is richer ways for people to communicate across even the mobile apps that we have going from tech to photos to videos just continual trend towards being more immersive so you know i like all of these trends line up to make me think that this is the right thing um i i think we're going to be happy that we did this um so that that's kind of how i think about it both from kind of a mission and product perspective a business perspective an investment um time frame perspective um but i i also you know understand the uh the the discomfort that that some folks have with with something that i can't put exact numbers on
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a in your turn time horizon around your next question comes from line of Doug Anmias with JP Morgan your line is open thanks for taking questions um one for mark one for Susan um mark you touched on it a bit but can you just talk a little bit more about what you've learned from threads early on not just for that product specifically but also as you look to leverage the family of apps platform to launch additional products over time and then Susan you lowered the capex outlook this year by three billion dollars you just provide more color on the delays and projects and equipment in 23 and is there any way to frame how meaningful the capex increase could be in 24 thank you
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yeah on threads um it's maybe too early to to do this kind of analysis i mean um you know on the one hand you know we've tried a bunch of standalone experiences over time and in general we haven't had a lot of success with building kind of standalone apps um you know the biggest exception to that of course is messenger but that started off as functionality inside facebook and was spun out um so you know pardon me wonders if this is just a kind of classic you know venture capital portfolio question where you try a bunch of things and a bunch of them don't work and um and then you know every once in a while one hits and is a much bigger success um it could be that um or it could just be that this is such an idiosyncratic case because of all the factors that are happening around twitter um or um x i guess it's called now um so it's it's hard it's hard to say i mean but i think when when something works or doesn't you can often you know point to the reason why it did or didn't and there i think is a an interesting intellectual question of whether you could have known that uh priori that that was actually going to be the case um but so i'm not sure but but also rather than than trying to kind of analyze that i'd say we have a lot of work to do to really make threads reach its full potential um that's not a a foregone conclusion yet even though i think we're we're off to you know a great start and i'm optimistic that over time this could be a you know fifth you know great great app and the family of apps but um um but we have a lot of we have a lot of basic work to do you know and we have a basic playbook here which is you know build an experience it's got to be something that people like um so it has to have product market fit once you get that um it's not always for tentative so a lot of people might might um you know like an experience but you need to kind of tune it so that way the numbers works that people who use it are are continuing we feel like we're we're getting to a good place on that with threads there's still a lot of basic functionality to build once we feel like we're we're in a very good place on that then i i'm highly confident that we're going to be able to pour um you know enough gasoline on this to help it grow once we get to the point where um where we feel good that that everyone who's using it is going to continue using it at a at a high rate um and then you know a few years once we get to the point where it's at hundreds of millions of people if assuming we can get there then we'll worry about monetization but i mean that's basically the playbook that that i'm that we're focused on and you know so rather than thinking about right now like what does this mean for other things like it that we can build that say we're really just focused on taking this opportunity which is um an awesome one that we didn't expect to this this scale um and making sure we make the most of this and and execute it but i i do think it has been sort of this weird anomalous thing in the tech industry that um there hasn't been an app for public discussions like this that has reached a billion people when i look at you know all the different social experiences it just seems like there should be one like this um i think there are a lot of reasons that you can point to why why that might have not been the case historically but um i it's awesome that we get a chance to to work on this and i'm really optimistic about where we are but it's going to be a long road ahead
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and Doug on your second question about our 2023 cat pecs forecast and the impact on 24 so i'll start with 2023 the reduced forecast that we gave for 23 i mentioned on the call is driven both by some cost savings uh particularly on non-a.i. servers where we're you know we previously had some under underutilized capacity and we've been identifying ways to be more efficient in the way that we allocate that capacity towards all of our various needs um as well as shifts in cat pecs uh into 2024 that's coming from delays and data center projects and server deliveries and that'll just push that associated cat pecs which we were planning for in 23 into 24 we're still working on our 24 cat pecs plans we haven't yet finalized that and we'll be working on that through the course of this year but i mentioned that we expect that cat pecs in 24 will be higher than in 23 we expect both data centers spend to grow in 24 as we ramp up construction on sites with the new data center architecture that we announced late last year and then we certainly also expect to invest more in servers in 2024 for both AI workloads to support all of the AI work that we've talked about across the core AI ranking recommendation work along with the next gen AI efforts um and then of course also our non-a.i workloads as we refresh some of our servers and add capacity just to support continued growth across the site.
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Your next question comes from line of use of squally with truest your line is open. Great thank you very much for taking questions one for mark and one for Susan may be mark you touched on this a little earlier but there's this open floor this is close to what's the debate going on with mera as one of the companies on one side of it with mama and llama two um how do you see this market evolving over time do you see one approach as being potentially superior to the other and their form would be likely to garner greater adoption or is this really a win-win situation just considering how early we are in this process and how large the potential time is
and then soon your guidance for two three um implies at the midpoint about a 20% growth which is a pretty steep acceleration from q two at 11 or 12 percent could you maybe just help us understand the drivers of that acceleration and as we look into q4 the comps remain pretty easy is that sustainable and 2drn thank you yeah i can speak briefly to the to the first one i do think that there will continue to be both open and closed ai models um i think there were a bunch of reasons for this um um there are obviously a lot of companies that their business model is to build a model and then sell access to it so for them making it open would undermine their business model that is not our business model we want to have the like we view the model that we're building as sort of the foundation for building product so if by sharing it we can improve the quality of the model and improve the quality of the team that we have uh that that is working on that that's a win for for our business um of basically building building better products um so i i think that you'll you'll see both of those models there are also some important safety questions that i think we'll need to continue thinking about over time um you know there are there are a number of people who are out there saying um that you know once the ai models get past a certain level of capability it can become dangerous for them to become just in the hands of everyone openly um i think it you know what i think is pretty clear is that we're not at that point today
I think that there's consensus uh generally among you know people are working on this in the industry and policy folks that were not at that point today and it's it's not exactly clear at what point you be you you reach that so i think you know there are people who are who are kind of making that argument in good faith that who are actually concerned about the safety risks i think that there are probably some um you know businesses that are out there making that argument because they want it to be more closed because that's their business so i think we need to be wary of that um but i i think for for both of those reasons the business reasons and the safety reasons i think there will be continued to be a mix of um of open and closed models and it's not just going to be that like one thing um is is whatever one uses i think different businesses will use different things for different reasons um and you know by by open sourcing llama now we're we're not you know on the second question around safety we're you know we we intentionally did not go out there and say we're going to open source every single thing in the future because you know we do want to have the space to be able to look at that how the safety landscape evolves and you know if we we think that you know we do cross some some kind of critical threshold in the future um it may not be the right thing to open source it in the future but for our business model at least um you know since we're not selling access to this stuff it's a lot easier for us to to share this with the community because it just makes our products better and and other people's nuts that that i think is a really healthy dynamic for the industry um and thanks you saph for your second question which i'll take you asked about our q3 revenue outlook and maybe also what that implies uh looking forward into q4 so on the further acceleration you know that we've um that we've guided to in q3 first of all i you know just uh point out that q3 22 revenue declined four and a half percent year over year so we're really lapping a much weaker demand period a year ago you know and we've certainly seen demand this year stabilized and so it's really a much easier compare we also are expecting that currency is going to flip to a three-point tailwind from a one-point headwind uh last quarter and finally you know as i've mentioned um earlier on this call we've been investing for a long time and i think executing really well uh across our core monetization work and continuing to grow engagement um and i think we're going to benefit from all of the investments that we've made in those historical and key priorities for us in terms of what this means for q4 we're not sharing a q4 revenue outlook yet there are obviously some tailwinds to your your growth in q4 again the same point about a weaker compare applies and at current rates fx would be a larger tailwind in q4 than we're expecting it to be in q3 um but we've had sizable fluctuations in advertiser demand over the last year you know it's been a pretty volatile period so while we're seeing strong advertiser demand now and that's certainly informing our outlook you know it's harder to predict as we look further forward and there are a wide range of possible outcomes in q4.
Dave, we have time for one last question. Thank you, Ken. That will come from the line of Brad Erickson with RBC Capital Markets. Your line is open. Yeah, thanks. Just had a follow-up, I guess, on the capx, just in that planning process you keep alluding to for the 24 capx outlook. I think you know, a lot of your commentary here implies that new products that sound like are going to be really central to instructing that number. Just curious how dependent it also is based on just views of revenue growth in '24 and the relationship there. Thanks. Yeah, um, thank you Brad. I can go ahead and take that one. So, you know, our growth in AI investments is really the thing that is driving the growth in our 2024 capx outlook. And I think there are a couple components to that. You know, there is both the core AI work, you know, which powers our ranking and recommendation systems, which underpins both a lot of our content ranking and engagement growth, as well as the monetization work. And that's an area, you know, where we're able to measure the ROI of our investments there, and we feel good about the ROI of those investments, and we want to continue investing appropriately to drive revenue growth, at the same time being mindful of our desire to over the long term, you know, decrease capital intensity. There's also another component, which is the next generation AI efforts that we've talked about around advanced research and gen AI. And that's a place where we're already standing up training clusters and inference capacity, but we don't know exactly what we'll need in 2024 since we don't have any at scale deployments yet of consumer or business facing features, and the scale of the adoption of those products is ultimately going to inform how much capacity we need. We think these are both going to be compelling investment opportunities, and some of the AI capacity is fungible. So, if we don't end up needing some of the capacity for our gen AI work, we'll be able to allocate it to our core AI work supporting ads and engagement. But we're really still working on our 24 plans. You know, we will have clearer and more quantitative outlook as those plans shape up, but we are mindful of our intention to reduce the capital intensity of these investments over time. Great, thank you for joining us today. We appreciate your time, and we look forward to speaking against him. And this concludes today's conference call. Thank you for joining us. You may now disconnect your lines.
戴夫,我们还有时间讨论最后一个问题。谢谢你,肯。现在我们问一下Brad Erickson在RBC Capital Markets的问题。请发言。是的,谢谢。我有一个跟进问题,关于24年资本支出的规划过程。我认为你在这里的讲话意味着新产品对于这个数字的构成非常关键。我想知道它与24年收入增长的观点和关系的依存程度。谢谢。是的,谢谢你,Brad。我可以回答这个问题。我们在人工智能投资方面的增长确实是驱动我们2024年资本支出展望的主要因素。我认为其中有几个组成部分。首先是核心的人工智能工作,它支持我们的排名和推荐系统,为我们的内容排名和用户增长提供基础,也为我们的变现工作提供支持。这是一个领域,我们能够衡量投资回报率,并且我们对我们的投资回报率感到满意。我们希望继续适当地投资以推动收入增长,同时也要意识到我们长期来说希望降低资本密集度。另外还有一个组成部分,就是我们谈论过的下一代人工智能项目,如高级研究和基因人工智能。我们已经开始建立培训集群和推理能力,但由于我们尚未在消费者或商业面向特性上进行大规模部署,我们还无法确定2024年需要多少容量。这些产品的采用规模最终会决定我们需要多少容量。我们认为这两个领域都将是具有吸引力的投资机会,并且一些人工智能能力是可以相互转换的。因此,如果我们最终不需要一部分用于基因人工智能项目的容量,我们可以将其重新分配给支持广告和用户参与度的核心人工智能项目。但目前我们仍在制定2024年的计划。随着计划的进展,我们将会有更清晰和更具量化的展望,但我们也意识到长期来说我们希望降低这些投资的资本密集度。非常感谢你们今天的参与。我们感谢你的时间,期待以后的交流。本次电话会议到此结束。谢谢你们的参与。请挂断电话。