please press 5 on your telephone to raise your hand. If you are accessing from the Tencent Meeting or Google Meeting application, please click the Raise Hand button at the bottom left. And please be advised that today's webinar is being recorded. Before we start the presentation, we would like to remind you that it includes four looking statements, which are underlined by a number of risks and uncertainties. And it may not be realized in the future for various reasons.
Information about general market conditions is coming from a variety of sources outside of Tencent. This presentation also contains some unaudited non-IFRS financial measures that should be considered in addition to but not as a substitute for measures of the group's financial performance repelled in accordance with IFRS. For a detailed discussion of risk factors in the non-IFRS measures, please refer to our disclosure documents on the IR section of our website.
Now let me introduce the management team on the webinar tonight. Our Chairman and CEO Pony Ma will kick off with a short overview. President Martin Lau will provide an update on AI initiatives. Chief Strategy Officer James Mitchell will provide a business review and Chief Financial Officer John Lau will conclude with financial discussion before we open the floor for questions. I will now pass it to Pony. Thank you, Wendy. Good evening.
Thank you everyone for joining us. In 2024, we will reinforce the long-term franchise value of our key services. In vision, we're strengthening our transaction capabilities with the launch of mini-shops and upgrades for vision search. Video accounts user time span grew rapidly on enhanced recommendation algorithms.
Our evergreen game portfolio increased from 12 games in 2023 to 14 in 2024, and we nurtured new games with evergreen potential. Three of Tencent Video's drama series ranked among the industry's top five in 2024, while Tencent Music extended its industry leadership with 121 million subscribers.
Our marketing services revenue growth outperforms the industry as we upgrade our advertising technology platform and increase user traffic. In FinTech, we upgrade our risk control and optimize payment funding cost, strengthening our overall FinTech franchise and profitability.
On AI, we advanced Huanyuan's capabilities, deployed AI for internal AI use cases, and prepared for breakout growth in consumer AI use cases. Financially, our revenue growth rate improved during 2024, hitting double-digit growth in the fourth quarter.
Our growth and operating profits grew faster than our revenues as we shift towards high quality revenue streams. We are focused on delivering shareholders' returns, paying out 32 billion Hong Kong dollars in cash dividends and repurchasing 112 billion Hong Kong dollars worth of our shares during the year.
Today and a good evening. Thank you for standing by. Welcome to Tencent Holdings Limited 2024 Fourth Quarter and Annual Results Announcement Webinar. I'm Wendy Huang from Tencent IR team. At this time, all participants are in a listen-only mode. After the management's presentation, there will be a question and answer session. For participants who dial in by phone, if you wish to ask questions,
Looking at our financial numbers for the fourth quarter, total revenue was 172 billion RMB, up 11% year-on-year. Gross profit was 91 billion RMB, up 17% year-on-year. Non-IFRS operating profit was 59 billion RMB, up 21% year-on-year. And non-IFRS net profit attributable to equity holders.
was 55 billion RMB, up 30% year-on-year. Now I will hand over to Martin. Thank you, Pony, and good evening, good morning to everybody. In my section, I will talk about our initiatives in terms of investing in AI for growth. And I will summarize our AI initiatives
and how we're investing in AI as both a growth multiplier for our existing businesses and as a new growth driver. And these include the progress we've made with our self-developed Kunyuan Foundation model, our multi-model strategy to provide the best AI experience to users, the integration of AI into our enterprise-facing services,
how we're unlocking the growth potential of existing businesses with AI, and finally, our stepped-up investment into AI for the future. Moving on to the first topic, our AI initiatives really trace back to 2016, when we first established our AI lab. Since 2023, early part of that, we have been investing heavily in our proprietary Hun Yuan Foundation model.
which forms an important technology foundation for our consumer and enterprise-facing businesses, and will serve as a growth power supply for us in the long run. Our investments in Hunyuan enable us to develop end-to-end foundation model capabilities in terms of infrastructure, algorithm, training, alignment, and data management, and also to tailor solutions for the different needs of internal and external use cases.
In terms of milestones, we are an early adopter of new techniques in core LLM, including the mixture of expert architecture in March 2024, the heterogeneous MOE-based twin-unit turbo in September 2024, and the hybrid Mamba transformer MOE-based turbo S model in February 2025.
Unlike conventional transformer models that face limitation in context length, our current Turbo S LLM increases the efficiency in handling long sequence through MAM-BAM optimization. We also released our Huanyuan T1 deep thinking model in February 2025, which is among the first long chain of thought models in China, delivering performance comparable to top tier models.
In addition to LLMs, we've released multimodal Huanyuan Foundation models with capabilities that span across image, video, and 3D generation. Huanyuan's image generation models achieved the highest score from FLAG eval in December of last year. In video generation, our model excels in video output quality and ranked first on Hugging Face in December of last year.
And our 3D generation model was the industry's first open-source model supporting text and image to 3D generation. In addition to that, we also contribute to the open-source community actively and have open-sourced a series of advanced models in the Huanyuan family for 3D generation, video generation, large language, and image generation. Several of these models have gained great popularity among developers worldwide.
Now going to our consumer facing AI products, we adopt a multi-model strategy to provide the best AI experience to our users. So we can leverage all available models to serve different user needs. We need this because different AI models are optimized for different capabilities, performance metrics, and use cases. And a combination of various models can handle complex tasks better than a single model.
Our experience in software businesses, such as online games, also demonstrates that there are synergies in being a developer and an operator. By investing in our own foundation models, we're able to fully leverage our proprietary data to tailor solutions to meet customized internal and customer needs, while at the same time making use of external models allowed us to benefit from innovations across the industry.
Through our infrastructure as a service eye solutions, enterprise customers can achieve high performance AI training and inference capabilities at scale. And developers can access and deploy mainstream foundation models. For platform as a service paths, our high platform supports model fine tuning and inference demands with flexibility.
will provide powerful solutions supporting enterprise customers in customizing AI assistance using their own proprietary data and developers in generating mini programs and mobile applications through natural language prompts. Our SAS products increasingly benefit from AI-powered tools. Real-time transcription and meeting summarization functions
In Tencent Meeting gained significant popularity, resulting in monthly active users for these AI functions doubling year-on-year to 15 million. Tencent Docs also enhanced the user productivity in content generation and processing. In 2024, our AI cloud revenue approximately doubled year-on-year. Increased allocation of GPUs for internal use cases initially for app tech and foundation model training, and more recently on AI inference for Yuanbao,
And Weixin has limited our provision of GPUs to external clients and thus constrained our cloud services revenue growth. For external workloads, we have prioritized available GPUs to work high value use cases and clients. Since the fourth quarter of 2024, we have stepped up our purchase of GPUs. And as we deploy these GPUs, we expect to accelerate the revenue growth of our overall cloud services.
Now, moving on to our existing businesses, we believe our investment in AI has already been generating positive returns for us. And I will give you three examples on how AI is empowering our existing products and businesses and generating return. For advertising, we enhanced our advertising system with neural network AI capabilities since 2015. We rebuilt ad tech platform using large model capabilities since 2020.
enabling long-sequence user behavior analysis across multiple properties, which resulted in increased user engagement and higher click-through rates. Since 2023, we have been adding large language model capabilities to facilitate more efficient approvals of ad content, to better understand merchandise categories and users' commercial intent,
for more precise ad targeting, and to provide generative AI tools for advertisers to streamline the ad-creative process, leveraging AI-powered ad-targeting capabilities and generative AI ad-creative solutions. Our marketing services business is already a clear beneficiary of AI integration, with revenue growth of 20% in 2024 amid challenging macro environment.
In games, we adopted machine learning technology in our PVP games since 2017. We leveraged AI in games to optimize matching experience, improve game balance, and facilitate AI coaching for new players, empowering our evergreen game strategy. Our games business is now integrating large language model capabilities, enhance 3D content production efficiency, and to empower in-game chatbots. For our video and music services,
On the product front, our AI native application Yuanbao provides access to multiple models, including chain of thought reasoning models, such as Huanyuan T1 and DeepSeek R1, and fast thinking model Huanyuan Turbo S, with the option of integrating web search results. Yuanbao search results can directly access high quality proprietary content from Tencent ecosystem, such as official accounts and media accounts.
By leveraging Huanyuan's multimodal capabilities, Yuanbao can process prompts in images, voice, and documents, in addition to text. Our cloud infrastructure supports stable and uncapped access to leading models. From February to March, Yuanbao's DAU increased 20-fold to become the third highest AI-native mobile application in China by DAU. In addition to that, we have also started
testing AI features in Weixin to enhance user experience, such as for search, language input, and content generation. And we will be adding more AI features in Weixin going forward. Now, moving on to the enterprise-facing side, we have been accelerating AI integration into our cloud business across our infrastructure, platform, and software as a service solutions.
We're leveraging AI to improve productivity in animation, live action video, and music content creation. Our content recommendation algorithms are powered by AI and are proven effective in boosting content discovery. These initiatives enable us to better unlock the potential of our great content platforms.
And finally, as the capabilities and benefits of AI become clearer, we have stepped up our AI investments to meet our internal business needs, train foundation models, and support searching demand for inference we're experiencing from our users. To consolidate our resources around this all-important AI effort, we have reorganized our AI teams to sharpen focus on both fast product innovation and deep model research.
matching our stepped-up execution momentum and decision-making velocity. We increased annual CapEx more than threefold to $10.7 billion in 2024, equivalent to approximately 12% of our revenue, with a notable uplift in fourth quarter of the year as we bought more GPUs for both inference needs as well as for our cloud services. We intend to further increase our
capital expenditures in 2025 and expect our CapEx to account for low team's percentage of our revenue. In terms of R&D, we will continue to invest in our own models and to accelerate the development AI applications of each of our business groups. We're also investing in marketing to build user awareness and promote the adoption of new AI products such as Yuanbao. We believe these investments will generate good economic returns over time
but we also have the capacity to intention to continue returning capital to shareholders. And we intend to buy back at least HK$80 billion worth of our stock in 2025. So with that, I'll pass to James. Thank you, Martin, and hello everyone. In the fourth quarter, our total revenue returned to double-digit growth of 11% year-on-year. BAS represented 46% of our revenue within which the social network subsegment was 17%.
Domestic games 20% and international games 9%. Marketing services with 20% of our revenue and FinTech and business services 33%. Our gross profit grew 17% year on year on increased contributions from high margin revenue streams such as domestic games, video accounts advertising, and WeChat search advertising, alongside cost efficiency from cloud services.
By segment, VAS gross profit increased 19% year-on-year, representing 49% of our total gross profit. Marketing services gross profit increased 19% year-on-year, too, contributing 22%. And FinTech and business services gross profit increased 11%, contributing 29%. For value-added services, segment revenue was 79 billion renminbi, up 14% year-on-year.
Social networks revenue was up 6%, driven by increased revenue from app-based game item sales, music subscriptions, and minigames platform service fees. Music subscription revenue increased 18% year-on-year as subscribers grew to 121 million. Tencent Music deepened cooperation with labels and artists and added super VIP privileges, such as AI-powered audio effect matching and collectible artist cards. Long-form video subscription revenue increased 3% year-on-year
with subscribers growing to 113 million. Our self-commissioned drama series, Love Game in Eastern Fantasy, was the most watched drama series across all online platforms in China in November. Domestic games revenue grew 23% year-on-year against a low base quarter, driven by Evergreen Games, Honor of Kings, Peacekeeper Elite, Valorant, and also contributions from recently released games, DNF Mobile and Delta Force.
International games revenue increased 15% year-on-year, or 16% in constant currency terms, on robust performances from Brawl Stars and PUBG Mobile, and the early access release of Path of Exile 2. For communications and social networks, MiniShops, our platform for indexed and standardized merchandise, is progressively adding features to stimulate new and repeat transactions.
For example, we introduced a gifting feature, which leverages Weixin's social interactions and people's desire to gift each other fun or trendy items. This gifting feature has the benefit that gift recipients must fill in their delivery addresses, which builds out our delivery location graph, making future shopping transactions more convenient for consumers and future delivery more efficient for merchants. Weixin Search continued to grow queries and revenue at rapid rates. We integrated
Tencent Hunyuan and DeepSeek large-language model capabilities to enhance the relevance and quality of WeChat search results. And Tencent's own model-powered results now cover over 90% of question-based searches. For domestic games, several of our evergreen games benefited in terms of DAU and monetization from IP collaborations and high-profile events during the fourth quarter. Honor of Kings gross receipts grew by a double-digit percentage year-on-year on higher DAU
and popular outfits based on the anime series Detective Conan. Valorant gross receipts more than doubled on tie-ins with the World Championship winning team Edward Gaming and with Riot's animated series Arcane Season 2. Fight of the Golden Spatulas gross receipts grew by a double-digit percentage on Arcane-themed champions. We're thinking to nurture additional evergreen titles. For example, our recently released game Delta Force generated over 1 billion Remnant B gross receipts.
from PC and mobile in China during the fourth quarter. And our pipeline includes highly anticipated games such as The Hidden Ones, Light of Mataram, Goddess of Victory and New Hope, and Valorant Mobile. During the 2025 spring festival period a few weeks ago, our five highest grossing games each increased their DAU versus the 2024 spring festival period, demonstrating the health of the game industry and the vitality of our evergreen titles.
DAU growth flowed from gameplay and social activity initiatives, such as Peacekeeper Elite's Tang Dynasty-themed map in honor of King's social space featuring fireworks and selfie spots. Among our international games, Brawl Stars from Supercell in Finland was the third highest mobile game by DAU industry-wide outside China for 2024. Gross receipts grew several times year on year in the fourth quarter, benefiting from the Angels versus Demons season and redesigned Battle Pass.
Path of Exile 2, from our subsidiary Grinding Gear Games in New Zealand, is a new action RPG for PC and console featuring an in-depth character development system. The game ranked first among premium games by revenue on Steam for six weeks following its early access release in December. Warframe, from our subsidiary Digital Extremes in Canada,
released a major update, Warframe 1999, in the fourth quarter, which boosted DAU and resulted in the game achieving the highest level of fourth quarter gross receipts in its 11-year history. For the full year 2024, Warframe's gross receipts increased over 30% year-on-year, also achieving a life-to-date record level. For marketing services, revenue grew 17%, 35 billion renminbi in the fourth quarter,
benefiting from higher user engagement and the ongoing AI upgrade of our advertising platform. Specifically, we enhanced our AI models to facilitate more holistic understanding of users' interests and of how users are responding to ads, enabling our system to make more relevant ad recommendations. Our marketing services revenue increased across most industries. By inventory, video accounts marketing services revenue grew over 60% year-on-year on higher user engagement
the AI enhancements mentioned earlier, and increased consumer transactions within video accounts resulting in more closed-loop e-commerce advertisements. Mini-programs marketing service revenue increased rapidly year-on-year, and WeChat search revenue more than doubled year-on-year on more commercial queries, as well as AI-optimized ad placements and ad formats, boosting click-through rates. Looking at FinTech and business services,
segment revenue was 56 billion renminbi in the fourth quarter, up 3% year-on-year. FinTech services revenue resumed low single-digit year-on-year growth in the quarter, benefiting from improved commercial payment volumes and increases in wealth management consumer loan services revenues. For commercial payments, revenue improved to largely stable year-on-year and the number of transactions grew faster year-on-year in the fourth quarter versus the third quarter.
Business services revenue grew modestly year-on-year in the fourth quarter, benefiting from higher cloud services revenue and increased technology service fees generated from rising e-commerce transaction volumes. But as Martin mentioned, allocating more GPUs to Tencent's own needs temporarily constrained the growth of cloud services revenue in the quarter. Business services gross margin rose year-on-year due to improved efficiency.
For Wecom, revenue more than doubled year-on-year as enterprises are increasingly willing to pay for advanced communication functionalities. And Tencent meeting through revenue over 40% year-on-year, benefiting from increased enterprise adoption. And with that, I'll pass to John. Thank you, Jane. Hello, everyone. For the fourth quarter of 2024, total revenue was $172.4 billion.
RMB up 11% year-on-year. Gross profit was RMB90.7 billion, up 17% year-on-year. Operating profit was RMB51.5 billion, up 24% year-on-year. Interest income was RMB3.9 billion, broadly stable year-on-year. Finance costs were RMB2.5 billion, down 29% year-on-year due to foreign exchange gains this quarter compared to losses in the same period last year.
Share profit of Associates and JUE was 9.3 billion renminbi, compared to 2.4 billion renminbi in the same quarter last year. On a non-IFRS basis, share profit was 7.7 billion renminbi, up 4.5 billion renminbi in the same quarter last year. Due to associate company specific factors, including business growth, new content releases, and enhanced operating efficiency.
Income tax expense increased by 22% year-on-year to 11.8 billion RMB, primarily driven by operating profit growth. On non-IFRS basis, diluted EPS was 5.91 RMB, up 33% year-on-year, outpacing non-IFRS net profit growth due to reduced share count from our share buyback. On non-IFRS financial figures,
For quarter four, operating profit was 59.5 billion renminbi, up 21% year-on-year. Net profit attributable to equity holders was 55.3 billion renminbi, up 30% year-on-year. The difference in Y&Y growth rates between operating profit and net profit was primarily due to higher non-IRR share of profit from associates and JV, which went up by 72% to 7.7 billion renminbi this quarter. Moving on to gross margin.
For the fourth quarter, overall gross margin was 53%, up 3 percentage points year-on-year. And by segment value-added services, gross margin was 56%, up 2 percentage points year-on-year, due to a higher mix of high-margin domestic gains revenue, margin improvement in music subscription revenue, and a lower mix of low-margin live streaming revenue.
Marketing services gross margin was 58%, up one percentage point year-on-year due to growth in high margin video accounts and wasting such revenue. FinTech and business services gross margin was 47%, up three percentage points year-on-year due to a higher mix of high margin revenues alongside improved cost efficiency in our crowd services. On fourth quarter operating expenses, selling and marketing expenses were 10.3 billion RMB,
down 6% from a high base in the same quarter last year. Selling and marketing expenses represented 6% of revenues, down from 7% in the same quarter last year. Total G&A expenses were 31.4 billion RMB, up 16% YNY, substantially driven by increased R&D expenses, which grew 21% year-on-year to 19.8 billion RMB.
mainly due to higher staff force and GPU service depreciation related to our AI initiatives. GNA excluding R&D was up 8% YNY to 11.6% RMB. At quarter end, we had approximately 111,000 employees, up 5% year-on-year or 2% quarter-on-quarter. For the fourth quarter, 2024,
Non-Iovirus operating margin was 34% of free percentage points year-on-year, largely in line with gross margin expansion. Next, I'll highlight some key cash flow and balance sheet metrics. For the fourth quarter, operating capex was $34.9 billion RMB, up 421% year-on-year, driven by increased investment in GPUs and servers to ramp up our AI capabilities.
Non-operating capex was 1.7 billion RMB up 103% year-on-year, primarily driven by data center construction in progress. Total capex was 36.6 billion RMB up 386% year-on-year. Free cash flow was 4.5 billion RMB down 87% year-on-year, primarily due to increased capex spending on GPUs, servers, and data centers.
On a queue-on-queue basis, pre-cash flow was down 92% due to timing difference in settlement of certain accrued expenses, higher cutback spending on GPUs and servers, alongside with seasonally lower gains across receipts. Net cash position was 76.8 billion RMB, down 20% queue-on-queue, reflecting cash outflows related to cutbacks and share repurchases. On capital returns,
CAPEX is a more nuanced topic because we did step up CAPEX to a new sort of higher steady state in the fourth quarter of last year. And over time, that incremental CAPEX will flow through into incremental depreciation over the next several years. But it's worth digging into exactly where that CAPEX is going to understand
whether the depreciation becomes a margin pressure or not. So, you know, the most immediate use of the CapEx is GPUs to support our ad tech and, to a lesser extent, our games businesses. And, you know, you can see from our results, you can hear from what Martin talked about, that that CapEx actually generates good margins, high returns. A second use of CapEx is GPUs for large language model training. And there was a period of time last year
when there was a belief that every new generation of large-language model required an order of magnitude more GPUs. That period of time ended with the breakthroughs that DeepSeek demonstrated. And now the industry and we within the industry are getting much higher productivity on a large-language model training from existing GPUs without needing to add additional GPUs at the pace previously expected.
Third, there's CapEx related to our cloud business, which, you know, we buy the GPU servers, we rent them out to customers, we generate a return. It may not be the highest return business in our portfolio, but nonetheless, it's a positive return. It covers the cost of the GPUs and therefore the attendant depreciation. And then finally, you know, where I think there is potentially the short-term pressure is the CapEx for
2C inference. And that is an additional cost pressure, but we believe it's a manageable cost pressure because, you know, that capex is a subset of the total capex. And, you know, we're also optimistic that over time, you know, those, the 2C inference activity that
For the full year of 2024, we repurchased 307 million shares with a total consideration of HK$112 billion, more than doubling both number of shares repurchased and total consideration from last year. Our weighted average number of shares for calculating 2024 diluted EPS decreased by 2% year on year. Subject to shareholders' approval at the upcoming
2025 AGM, we are proposing an annual dividend of 4.5 Hong Kong dollars per share, reflecting a 32% increase from previous year. The dividend will be payable to shareholders on 30th of May, 2025. Thank you. Thank you, John. We shall now open the floor for questions. If you are dialing in by phone, please press five to raise a question, then press six to unmute yourself.
If you are accessing from the Tencent Meeting or Voo meeting application, please click the raise hand button at the bottom. We will take one-man question and up to one follow-up question each time. The first question comes from Kenneth Wong from UBS. Kenneth, your line is open. Hi, good evening management. Congrats for a strong quarter.
And thanks, Mason, for taking my questions. I have two questions. The first one is on the AI CapEx impact on financials. So as we step up the CapEx on AI, our margin will be inevitably dragged by additional depreciation and R&D expenses. So over the past few years, we have seen meaningful increase in margin as we focus on high quality growth. So going forward, how should we balance between growth and profitability improvement?
And my second question is on the mini shops. In Q3, we launched our WeChat mini shops and blue packet gifting function that have been very well received by the user. So can management share with us the strategy and key initiatives this year for e-commerce? Thank you. Hi Kenneth, thank you for your question. So people say the only things that are inevitable in life are death and taxes. And as a company executive, I think it would be remiss if we were to say that
lower margins are inevitable, and we certainly don't believe that's the case. As far as increased research and development spending on AI is concerned, essentially every year of Tencent's history we've been increasing our research and development spending on various different projects. So we don't see R&D spending being a pressure per se on our margins.
we're generating just like previous activity within different Tencent platforms, we'll be monetizing through a combination of advertising revenue and value-added services. So overall, while we understand that you have questions around the step-up in CapEx and how that translates into profitability over time, we're actually quite optimistic that we can continue to grow the business while protecting margins. Thank you.
Yeah, just one sort of point to add to James' very comprehensive answer, which is in the inference for consumer-facing product, there's actually a lot of venues through which we can actually reduce the unit cost by technical means, by software and by better algorithms. So I think that's also sort of a factor to keep in mind.
So with respect to the mini shop, I would say, number one, it's a very long-term initiative for us. So any particular initiatives is just sort of one of many things that we can do to build up this ecosystem over the long run.
And secondly, I would like to remind the audience about the positioning of the mini shop. It's really a unified platform that connects all the components of our Weixin ecosystem. And there is a standard and indexed merchandise information data structure
so that the merchandise information can actually flow freely across the different components of the waste ecosystem. And that's, you know, the purpose is actually for our consumers to be able to find quality products and merchants. And if you look at the different components of the waste ecosystem right now, there is,
social infrastructure, there is content, there is search, there is mini programs, there's transaction platform, and there's also Wecom. So there's a lot of components within the unified WeChat ecosystem that MiniShop really wants you to operate in. And if you look at the gifting, it's really one
feature within the social component of the ecosystem. And so it's just sort of one of the many, many different features that we can add in order to really leverage the full waste ecosystem. And from the initial feedback, as you said, it's actually quite well received. We see a lot of people using this function to give to their friends
during the Chinese New Year period. And this gifting actually also magnified the word-of-mouth effect of quality products, because you will only gift the products that you felt is actually sort of good. And for the people who receive the products, which sort of magnify the initial purchase, they would
enter their address into the delivery address. And that would actually help us to get, build an infrastructure of delivery graph. And that would actually sort of help us to complete transactions in an easier way for a lot of people who have entered their address. And usually it actually would also induce the people who received the gift to sometimes like give that further to their friends.
So overall, I think, you know, the word of mouth effect is very good and the feedback from the merchants have been good, but it's only one component within the overall iteration ecosystem right now. So we felt over time, we continue to build up this ecosystem, this platform, you know, with patients and we treat it as a marathon rather than a sprint. And we felt we can go actually very far and long.
along this path. And if you look at the GMB of MiniShop, it continues to grow at a very fast pace in the fourth quarter of last year. Thank you, Kenneth. Next, we will take the question from Alicia Yap from Citigroup.
Thank you. Good evening, management. Thanks for taking my questions and also congrats on the strong set of results. Two questions. First is for the enterprise-facing service that you mentioned, just wondering if management can illustrate a little bit the demand and adoption rate that you have seen for your ask service over the past two months and how you foresee the demand growth in the coming quarters.
And for the SaaS products, besides Tencent Meetings and Tencent Docs that you mentioned, so can management also share with us some of the software solutions that we plan to roll out that could potentially help cross-sell and up-sell to our cloud customers? And second question is on the consumer-facing applications. So I think in addition to Yuanbao, which obviously has achieved very strong breakout the last couple of months,
There's also this EMA co-pilot, and also the way thing is also with the enhanced search features. So just wondering, how will all these products eventually evolve over time? And will Yuanbao position as the AI gateway that consolidating all the search and discovery entrants that will be complementary to the WeChat super app? Thank you.
Okay. In terms of the iService demand, it's actually very strong, but as I said earlier, and then James also talked about it, we actually supply constraints. Part of the reason why you see such a big step up in terms of the CapEx in the fourth quarter is because we have a bunch of rush orders for GPUs.
for both inference as well as for our cloud service. And we would only be able to capture the large increase in terms of iService demand when we actually install these GPUs into the data center, which would take some time. So I would say, you know, we, you know,
probably have not really captured a lot of that during the first quarter. But over time, it will capture quite a bit of that with the arrival and installation of the GPUs. And in terms of the different software solutions, so you mentioned Tencent Meeting, Tencent Docs, and WECOM is another
a very strong product. As a matter of fact, this is actually our biggest SaaS product in terms of revenue, and it actually has grown a lot, you know, doubled its revenue year on year in the previous quarter. And in addition to that, we also see security pass software and audio video pass software, including
real-time communications, as well as live broadcasting software that we actually should be selling to our cloud customers. And quite a bit of these also can be enabled with AI to provide extra value to our customers. And then on the consumer-facing application, yes, we actually have a whole host of different
consumer-facing applications, and you should expect more to come. I think AI is actually in a very early stage, so it's really hard to talk about what the eventual state would look like. But I would say, one, each product will continue to evolve into very useful and even more powerful products for users. So Yuanbao can be sort of a very strong AI
a native assistant, and the email copilot could be your personal library and also, you know, a collaborative library for team collaborations. And Weixin can have many, many different features to come, right? And in addition to these products, I think, you know, our other products would have AI experiences, including QQ, including
browser and other products. So I think, you know, we would see more and more AI, consumer AI facing products. And at the same time, each one of the products will continue to evolve.
I think if you look at Yuanbao, it is indeed consolidating a lot of different functionalities, but it will not be the only gateway. Each one of our products would actually try to look for unique use cases in which they can leverage AI to provide a great user experience.
to their users, but at the same time, our different products can also work together in order to provide the right pathway for our AI products to grow their own user base. So I think that will be continuing to evolve, and that would be helpful for us as we build a whole host of AI
solutions and applications of consumers. Thank you, Martin. Thank you. We will take the next question from Xu Jialong from Nomura. Thanks, Wendy. Thanks, management. Good evening. Congratulations again on a very solid quarter. My question is actually a follow-up on the last question.
So we saw Tencent Yuanbao shows very strong growth momentum since this year. So can management elaborate the strategies to further grow the user base in this very competitive market? Yuanbao is a hybrid of AI chatbot and AI search provider. So just wonder which part of the two is Tencent most excited about? And also relating to that, how big a market share
will AI search eventually represent in the entire search market in the future in terms of search queries? And how do you guys plan to monetize AI search in the future? Thank you. Well, in terms of Ganbao, well, right now it is a chatbot and search. But over time, I think it would actually proliferate into
all capable AI assistants with many different functionalities serving different types of people. So, it would range from students who want to learn and it would include all kinds of different people who actually knowledge workers who want to
you know, complete their work, and you would sort of cover deep research, which allows people to do very deep research into different topics. And so I think, you know, it's going to be, you know, having many, many different applications. And I think the unique advantage of Yuanbao, obviously, it's about
It's about sort of continuously adding features and functionalities to fulfill the user needs. But I think, you know, Yuanbao has got the unique advantage of having access to the content ecosystem of Tencent, you know, especially around official accounts and video accounts. These are sort of, you know, very high-quality information sources.
And at the same time, we felt our multi-model strategy actually sort of helps the users to get access to the best model and also have the advantage of using a combination of models to fulfill their complex needs. And in the future, as I actually alluded to, many of our different
large BAU products would actually start to add different AI features and functionalities. And some of them would have pathway and access to Yanbao. And our array of products would actually sort of help each other out. So I think those are the things that we can do continuously, which sort of would be competitive. But at the same time, there are some unique advantages that we have too.
And on your more general question about AI prompts vis-a-vis traditional search, I think different people will have different opinions, and it will take time to play out. But at a high level, if we look at the history of web search subsuming web directory, if we look at our own behavior with AI prompts vis-a-vis traditional search,
I think it's possible that AI search will subsume traditional search because ultimately web directory, traditional search, AI prompt all represent mechanisms for accessing the Internet's knowledge graph. But within them, AI prompts brings new technology, new efficiency, also new transactional capabilities through agentic AI that were not possible in traditional search.
And so in terms of, you know, how the AI prompt will be monetized, you know, time will tell. But I think that we can already see in the Western world the first monetization is through subscription models. And then over time, you know, performance advertising will follow. I think in China, it will start with performance advertising and then value-added services will follow. Thank you.
Thank you. We will take the next question from Rona Kwon from Goldman Sachs. Thank you, Pooni, Martin, James, John, and Wendy. Two questions. First one,
advertising with the healthy 17% growth that we saw. Should we view this fourth quarter exit rate as a proxy, let's say, to 2025 this year? And given the talk about the AI powered enhancements, and we've seen from meta that machine learning and advantage plus shopping, all of these AI could drive growth acceleration for some of the global peers. So is there a possibility for even acceleration of this marketing services growth line?
as we head into this year with more AI applications of that. Zach, separately on games, how should we view the growth outlook this year for domestic and international, especially the higher base effect for domestic by the second half of this year? And with AI, what are the implications to this business? You talked about longevity, but also competition and cost structures in this games industry. Thank you.
So why don't I lead off with advertising and game trends briefly, and then I'm not sure if Martin would address game AI, but we'll determine that in due course. You know, I think on the advertising, you know, we're very pleased with the growth rate in the fourth quarter, which clearly outpaced the industry. You know, there were no particular, you know, special tailwinds to call out. It was fairly, you know, organic growth, and it was very broad-based against
pretty much every industry that we monitor. And we think that's because across pretty much every industry we monitor the AI enhancements where we're deploying and delivering superior return on investment for advertisers versus what they previously enjoyed and versus what's available elsewhere. You compared us with some of our global peers, which I think is the right thing to do with the caveat that some of our global peers tend to move to
sort of fully loaded ad load much earlier in the evolution of their products. For example, short video versus we tend to gradually incrementally increase the ad load for our newer products like short video and that remains the case. And so I think there is a difference in how quickly we choose to sort of race down the runway versus some of our global peers. But overall, as long as the macro environment doesn't change,
dramatically, then I think we feel quite comfortable with our advertising business. As far as the game business is concerned, you're asking about a higher base effect in the second half of the year. I mean, I guess it's the curse of this kind of industry that, you know, if you do well, then people worry about the base effect a year later. But, you know, I think that, Peter, there are some observable facts about our game business today. You know, one is that
We ended last year with our deferred revenue, much of which comes from the game business, you know, up high team's percentage year on year. And so that deferred revenue will floater into reported revenue, you know, through the first half, but also through the second half of 2025 and some in 2026. And then a second observable fact that we called out in the prepared remarks is that, you know,
user behavior on our games during Chinese New Year is quite a nice sort of insight into whether our games are generally increasing or not increasing popularity. And so for all five of our highest-grossing games to see the daily active users up year on year in the Chinese New Year this year versus the Chinese New Year period last year is a positive leading indicator. So those are both sort of observable facts. There's also subjective opinions.
Subjectively, we believe we have a couple of games that are well on their way to graduating to evergreen status as well. And we mentioned one of them, Delta Force, and so that's a really important opportunity tailwind. Secondly, as we talked about in the prepared remarks, we have a number of new games in the pipeline that we're excited about. And then thirdly, we do believe that games benefit in a
direct and potentially a less direct way from AI technology enhancements. The direct way is the game developers using AI to assist them in creating more content more quickly and serving more users more effectively. And then the indirect way, which may be more of a multi-decade rather than a second half of this year story, is that as
if humanity uses AI more broadly, then we think there'll be more time and also more desire for high agency activities among people who are now empowered by AI. And so one of the best ways for them to express themselves in a high agency way rather than a passive way is through interactive entertainment, which is games. And I think just one more point to add, which is
Can you talk us through the rationale behind this capex to revenue ratio? Is it because you foresee a slowdown in demand growth for Gen-AI, or is it because the big step up in 2024 will be sufficient to address the Gen-AI demand in 2025? Thank you. Well, in terms of commercial payments, what our observation is that the volume
of transactions actually increased further, but then the pricing pressure on the ASP actually continued. So, net-net, it's still, from a value perspective, it's still kind of flattish. So, the way we interpreted
is that I think, you know, consumers' propensity to spend is actually coming back. But then on the supply side, there's still a lot of pricing pressure. So, you know, hopefully this is sort of, you know, a good sign that we're toward a tail end of, you know, a tough market, right? You know, and then when consumers' demand continue to improve, then over time,
you know, the suppliers will be less cutthroat and over time, you know, that would translate into value growth. But, you know, I think that's something that we'll have to see going forward. And on your question about CapEx for revenue, then, yes, it is because the step up in late 2024 should be sufficient to address Gen AI and other needs in 2025 at this
sort of new normal run rate. You know, we incur a time lag between ordering the GPU servers and fully deploying them in data centers. And so, you know, during the fourth quarter, during part of the first quarter, we were in that situation. But as Martin spoke to exiting the first quarter, we're deploying the GPUs and we get the benefit of them both for our internal inference needs for Yuanbao,
when we think about the competitive dynamics, we actually felt AI would allow evergreen games to be more evergreen. And we are already seeing how AI can help us to execute and magnify our evergreen strategy. And part of it is within production, you can actually produce
great content now within a shorter period of time so that you can keep updating the games with a higher frequency of high-quality content.
And with the PvE experience, when you have smarter bots, you actually make the game more exciting and more like PvP. And within PvP, a lot of the matching and balancing and coaching of new users can actually be done in a much better way when you apply AI. So all these would actually help
already popular and large-scale games to be even more popular and more attractive for the users. Got it. Thank you. We will take the next question from Alex L from JPMorgan. Thank you, Benjamin, for taking my question and congrats on the strong quarter. My first question is regarding the commercial payments.
It's encouraging to see that your commercial payment revenue has turned from negative growth in Q3 to young year flat in Q4. Can you share with us your observation of how the commercial payment activity trends so far in first quarter of 2025? And then my second question is a follow-up to the AI and the TEDx.
You guided a CAPAC to revenue ratio of low teens for 2025, which is a similar ratio as for 24. So, basically, this guidance implies a significant slowdown of CAPAC's growth.
as well as our external Tencent Cloud needs for renting out to our clients and generating direct revenue. And I think that if you step back and look at the bigger picture, then there was a period last year when people asked us if our CapEx was big enough relative to our China peers, relative to our global peers. And now
Out of the listed companies, I think we had the largest capex of any China tech company in the fourth quarter. So we're at the forefront among our China peers. In general, the China tech companies are spending less on capex percentage of revenue than some of their Western peers. But we believe for some time that's because the Chinese companies are generally prioritizing efficiency
and efficient utilization of the GPU servers. And that doesn't necessarily impair the ultimate effectiveness of the technology that's being developed. And I think DeepSeek's success really sort of symbolized and solidified, demonstrated that reality. Thank you. But the only point I want to add is, this is a very dynamic situation, right? So what we are giving is actually
sort of our expectation, but frankly, the expectation can change. If suddenly there's a surge of demand, then we can definitely sort of increase our order for GPUs. So I think we'll be sort of very flexible and dynamic in responding to the market dynamics. Thank you. We will take the next question from Joan Choi from Daiwa.
Thank you for taking my question. My first question is a follow-up on advertising. So can management share some more color? I think on the prepared remarks, you guys mentioned that we've seen an increase for most industry, like which verticals have benefited most. And also in terms of the advertisers, we noticed that video accounts, mini programs, relation search all went up quite a bit. So in terms of the advertisers' behavior, how has this changed and how has this benefited our advertising revenue growth?
My second question is on capital allocation. I think management shared that the share buyback in this year will be less than last year, but on the other hand, dividends will increase. So, what is our priority when it comes to capital allocation? And meanwhile, how should we think about investments in M&A as we are seeing a very strong demand in the AI industry at the current stage? Thank you.
Sure. So on your advertising question, some of the categories where we saw year-on-year growth included e-commerce, financial, fast-moving consumer goods, games, local service, education, healthcare. So a long list of categories across the board. And as we deploy these AI enhancements, generally we do so first in video accounts, and then it's sort of
percolates across other WeChat properties, across other Tencent properties and across our ad network. And so that the benefits become increasingly broadly felt over time. So that's on the advertising question. In terms of capital allocation, I think the key thing, overriding principle is actually we want to invest in order to
generate return for the company and for the shareholders. And it means different areas and different times. There were times in which we invest a lot in the ecosystem and our ecosystem partners and build a very large investment portfolio.
And then we started returning cash to our shareholders through dividends and share buyback. And now there's AI and we felt there's a lot of potential in AI to generate return for the future. So I think we basically now want to create an investment strategy that
We invest in our future, but at the same time, we also provide current period returns with dividend and buybacks. So I think that's the overriding principle. And if you look at our ability to do that, I would say we have a very strong financial capability to do that because we have very strong cashflow on an operating basis. We also have a very large
and valuable investment portfolio. And a big part of it is actually very liquid. So, you know, we have enough financial resources to invest in the future, both in AI, as well as if needed, right, you know, invest in some investment activities. You know, our investment portfolio is essentially self-funded and at the same time provide current period
return to shareholders. So as we look for this year, we have already announced that we're going to pay cash dividend of HK$41 billion, and we would slightly reduce our share buyback. From last year, we said we're going to buy back HK$100 billion, and this year we said we're going to
by about $80 billion, right? So basically, you can call it a $20 billion flexibility offer for us to sort of sit through the year and see whether we need to invest further in AI.
But if you look across the two years, last year we said the dividend was $32 billion and share buyback was $100 billion. That's $132 billion target return. And this year our target return is 80 plus 41, 121. But if you add the overspending of our share we purchased last year of 15, then this year's
number is actually sort of similar to last year's target. So I think, you know, we are trying to provide a very good balance between current period investment return as well as future investment, but we have a very strong set of financial resources to do that. Thank you. We will take the next question from Robin Zhu from Bernstein.
Robin, you need to unmute yourself. Maybe we take the next question from Thomas Chong from Jefferies. Hi, good evening. Thanks management for taking my question and congratulations on a very strong set of results. My question is going back to the previous question.
on spending and also on higher margin business and monetization. So given the fact that we have been pursuing high quality growth strategy for the past couple of years, and we are also looking into margin expansion story with operating profit growth to be faster than revenue growth.
But we also point out that as time goes on, the delta between the two will level down. So I think of putting, connecting all the dots together and putting all the puzzles, how should we think about the margin expansion story in 2025 and the next few years? Thank you. Why don't I take a stab at that? So at some level, the reason
or a key reason why we have enjoyed operating margin leverage in the past two years in particular is because we've enjoyed gross margin leverage. And the reason why we've enjoyed gross profit leverage to revenue is because while our base business has a blended gross margin of around 50%, there's a number of new revenue streams that contribute the majority of our revenue growth, which are coming in at gross margins of 70%, 80%.
And the way we look at it is there will be a multitude of AI agents. But I think for us, we would be able to build standalone AI agents by leveraging models that are of great quality, and at the same time, by leveraging the fact that we have a lot of consumers on our different software platforms, like our browser, like Yuanbao over time.
But at the same time, even within Weixin and within QQ, we can have AI agents, and the AI agents can actually leverage the ecosystem within the apps and provide really great service to our users by completing complex tasks. If you look at Weixin, for example,
Weixin has got a lot of users, a very long user time per day, as well as high frequency of users opening up the app. That's one advantage. The second advantage is that if you look at the activities within Weixin, it's actually very, very diversified, right? You know, it's not just sort of entertainment. It's not just transactions. It's actually sort of, you know, social communication and
And so as, you know, that mixed shift has been underway, that has, you know, been pulling up gross margin and resulting in gross profit growing faster than revenue. Now, of course, you know, there is over time a base effect or, you know, more accurately a sort of asymptotic effect. You know, if the blended gross margin gets closer to the incremental gross margin, then inevitably the rate of improvement in the blended gross margin
you know, decelerates. So I think that's, you know, true over, you know, over the longer term. But, you know, that said, when we look at our, you know, high-quality revenue streams, you know, such as the video accounts ads, such as the search ads, such as some of the value-added financial services, such as the e-commerce transaction fees, such as, you know, our own games, then, you know, generally those, you know, continue to grow faster than
our overall revenue and continue to enjoy, contribute substantially higher margins than our blended margin. And so we believe that we will continue to enjoy that gross profit leverage and therefore operating profit leverage vis-a-vis revenue on a sort of progressive asymptotic basis.
Of course, AI investment would actually sort of go against that. So you just have to sort of balance the two. Yeah. I think, you know, just to make the full picture clear. Thank you. In the interest of time, we will take the last question from Liao Yuan from CPEC Securities. Thanks, Winnie. Thanks for taking my questions. Congrats for the strong quarter. My question is regarding the AI and AI aging.
We have seen many companies release their own large-sum models and AI agents. I just want to know how our management view the key competitive factors in the future of large-sum model and what our competitive advantages are. Thank you.
I didn't catch the last part of it. What's the... Yeah, what is the competitive advantage? Because we see a lot of AI agents in the market. So how should we increase the user engagement in the future by adding more features and functions? I think there are many types of AI agents.
The AI agent is essentially a model leveraging the model capability and then sort of having connections to different software tools in order for a complex task to be completed. It's a pretty general concept and you can have AI agents on a standalone basis. You can have AI agents living in different apps
content, and a lot of people conduct their work within Weixin, a lot of people conduct their learning within Weixin, and there are a lot of transactions that go through Weixin. And there's a multitude of mini programs, which actually allow all sorts of different activities to be carried out, right? So you look at the mini
program ecosystem, you know, we can easily build an agent based on the model that actually can connect to a lot of the different mini programs and activities and complex tasks completely completed for our users. So, I think, you know, those are all very distinctive advantages that we have. Now, of course, these are
experiences that we want to build very carefully. We want to build very patiently so that it would deliver the right experience to the users with a lot of attention to their data security, to their sense of comfort and security. So these are the kind of things that we need to pay attention to when we build these products. But over time, I think those are great opportunities for us. Thank you, Martin. We are now ending the webinar.
Thank you all for joining our webinar today. If you wish to check out our press release and other financial information, please visit the IR section of our company website at www.Tencent.com. The replay of this webinar will also soon be available. Thank you and see you next quarter.