Hello, thank you for standing by for Baidu's First Quarter 2021 Earnings Conference Call. At this time, all participants are in a listen-only mode. After management's prepared remarks, there will be a question-and-answer session. Today's conference is being recorded. If you have any objections, you may disconnect at this time. I would now like to turn the meeting over to your host for today's conference, Juan Lin, Baidu's Director of Investor Relations. Hello, everyone, and welcome to Baidu's first quarter 2021 earnings conference call. Baidu's earnings release was distributed earlier today, and you can find a copy on our website as well as on newswire services. On the call today, we have Robin Li, our Co-Founder and CEO, Herman Yu, our CFO, and Dou Shen, our EVP in charge of Search and Feed. After our prepared remarks, we will hold a Q&A session. Please note that the discussion today will contain forward-looking statements made under the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. Forward-looking statements are subject to risks and uncertainties that may cause actual results to differ materially from our current expectations. For detailed discussions of these risks and uncertainties, please refer to our latest annual report and other documents filed with the SEC and Hong Kong Exchange. Baidu does not undertake any obligation to update any forward-looking statement except as required under applicable law. Our earnings press release and this call includes discussion of certain unaudited non-GAAP financial measures. Our press release contains a reconciliation of the unaudited non-GAAP measures to the unaudited most directly comparable GAAP measures and is available on our IR website at ir.baidu.com. As a reminder, this conference is being recorded. In addition, a webcast of this conference call will also be available on Baidu's IR website. I will now turn the call over to our CEO, Robin. Hello, everyone. We delivered strong results in the first quarter, with Baidu Core revenue growing 34% year-over-year to RMB 20.5 billion. Our business was strong across the board, particularly in our new AI business, including cloud, smart transportation, and Intelligent Driving. Non-advertising revenues within Baidu Core rose 70% year-over-year to RMB 4.2 billion, accounting for 21% of Baidu Core. China held the two sessions Annual Congressional Gathering in early March, and technology innovation was repeatedly mentioned. It was emphasized that never in the history of China has innovation been more important to the development of China. China's pursuit of innovation through technology to boost long-term growth and productivity will further expand the use of AI. We have witnessed AI platforms or AI-powered infrastructure enabling applications disrupting markets. For example, we entered the smart device market three years ago despite two dominant market leaders with strong manufacturing and distribution capabilities. We leveraged Baidu's leading AI technology, including natural language processing and speech recognition, to make DuerOS smart assistant understand humans better. This, in turn, has resulted in making Xiaodu smart displays number one in shipments globally. We further changed the market dynamics by introducing smart devices over RMB 1,000, compared to the sub-RMB 100 devices that our peers focused on. AI-powered platforms are changing the technology landscape. New vehicles sold are being equipped with sensors and AI capabilities both internally and externally to provide Intelligent Driving and in-vehicle infotainment. Apollo serves as the AI platform that powers the two critical functions of intelligent vehicles. Apollo on-device driving is making new breakthroughs and over 1.5 million vehicles have been sold in China pre-installed with DuerOS for Auto. Installation of DuerOS for Auto saw continued strength in the first quarter, growing over 100% year-over-year. According to IHS, over 50% of the vehicles sold in China this year are expected to be connected, and the percentage is expected to rise. We are excited to be deploying V2X vehicle to road infrastructure across China, which enables connected vehicles to be more intelligent. Just as the continuous upgrade of telecom networks since 2G has enabled mobile phones to become better and smarter, we believe Apollo smart transportation infrastructure can be continuously upgraded to make connected vehicles more convenient, safer, greener and in general, more intelligent over time. As we build Apollo V2X infrastructure in cities across China, we are getting requests to expand our smart transportation offering through greater use of AI into Maps and solutions to digitize public parking and highways. The expansion of Apollo smart transportation beyond V2X into different facets of transportation in metropolitan and highways leading into them will create a powerful network effect when the solutions are integrated and synchronized on a transportation network powered by Baidu Brain. Our divestment of PaaS for different industries and empowering our ad customers with Marketing Cloud are further examples of how AI platforms are changing industry dynamics from digital transformation to mobile internet. On the latter, we have a big opportunity to expand online marketing from selling traffic to empowering merchants with AI-powered Marketing Cloud and improve search to transaction conversion. Our strong internet foundation, coupled with growing user engagement, provide us with another driver for non-advertising growth. Turning to Q1 operational highlights. Our AI Cloud continues to see strong adoption due to our holistic approach, including a large developer community, self-designed chips, best-in-class machine learning services, and large AI patent portfolio. With increasing AI adoption in China, Baidu PaddlePaddle has become a top one deep learning framework globally in terms of pull requests, alongside with PyTorch and TensorFlow, according to GitHub. We have spent years developing AI chips to optimize workload and improve cloud cost structure. With external demand for GPU chips and Baidu Kunlun completed its first round of funding at a post-money valuation of $2 billion in April this year. Baidu EasyDL, a simple-to-use machine learning service for non-developers, was rated number one in terms of usage in China per IDC, topping the list for the second time. Customers are telling us that they are choosing Baidu due to us having the largest AI patent portfolio in China. Baidu's decade-long experience with AI technology and our large patent portfolio give customers the confidence that we can deliver end-to-end cloud solutions with PaaS and SaaS that meet their needs. Last quarter, we illustrated AI solutions that were scalable and replicable across different industries, such as our automated AI call center. We are also seeing customers who implement Baidu AI PaaS return for repeat purchases. For example, we helped a major retail bank in China implement Baidu AI PaaS, which has led to five follow-on purchases, including application to automate customer service and customer loan approval, and the recent purchase of a private cloud service. In the media sector, we partnered with online arm of China's largest TV network, CCTV, to implement Baidu AI PaaS. With capabilities to automate video clip creation and tagging from live broadcasting and use smart assistant to quickly locate desired video content. During the two sessions, we enabled CCTV.com to seamlessly link the interview congressional meeting participants with AI reporters powered by Baidu Brain and timely share these interviews on the internet. Smart transportation is becoming a way to digitize the transportation industry in China to improve traffic condition and road safety and reduce carbon emission. Our V2X vehicle-to-road infrastructure has helped reduce traffic congestion time by 20%-30%. Chongqing, which implemented Apollo V2X last year and opened the door for Apollo into Western China, re-engaged with us this year to make their smart transportation infrastructure 5G enabled, laying the foundation for a future rollout of robotaxi ride-hailing. Chengdu, the capital of Sichuan and a leader in science and technology development, recently partnered with Apollo to implement V2X, too. Turning to Intelligent Driving. Since its founding eight years ago, Apollo has accumulated over 6 million miles of Level 4 autonomous driving testing miles on the road and over 600 million miles of simulated testing. Apollo continues to be the leader in autonomous driving in China with our early investment, open platform strategy, and comprehensive technology infrastructure. With Apollo autonomous driving can operate independently on vehicle sensors, it is uniquely empowered by Baidu's HD Maps, our AI Cloud, and Apollo Smart Transportation. The comprehensive data set and integration with a city's smart transportation network, we believe, will enable Apollo to offer better driving behavior and reduce accident rate. Following the opening up of highway testing for autonomous driving in January, Apollo received the permit to operate at night and under special weather conditions on public roads in Beijing. Apollo also received permits to pilot fully autonomous driving in Beijing, Cangzhou, and Changsha. Apollo Go, China's first fully autonomous ride-hailing service with no one in the driver's seat, is now open to the public at the Shougang Park, the Beijing 2022 Winter Olympic site. Rides are priced at RMB 30 each. In March, Apollo Go began to charge the robotaxi ride-hailing in Hangzhou based on the distance traveled, starting with a minimum fare similar to regular ride-hailing. Jidu Auto, an intelligent EV company established in partnership with Geely, has appointed Xia Yiping as CEO. Yiping previously served as CTO at Mobike, and worked various positions at Fiat Chrysler, and Ford. We welcome Yiping to the Baidu family and look forward to his contribution to innovate the smart EV sector. On Apollo self-driving, GAC Group joins Apollo's network of 10 leading local and multinational automakers to install ASD services in its new vehicles. According to China Insights Consultancy, a market research and consulting firm, the TAM for Apollo Intelligent Driving, which includes robotaxi ride-hailing, EVs, and self-driving services for automakers, will reach $467 billion, almost nine times the size of our advertising TAM of $53 billion in 2025. Apollo platform powers Jidu and other automakers, as well as Apollo Go Robotaxi. It is in a unique position to be well-funded and widely adopted. Such coveted position has earned Baidu the only Chinese company selected for the leader category in autonomous driving by Guidehouse Insights, previously known as Navigant Research, for the second consecutive year. Turning to Mobile Ecosystem. In March, Baidu App MAUs reached 558 million. Creators on Baijiahao more than doubled, and the number of Smart Mini Program grew 74% from a year ago. Our AI building blocks, coupled with our Marketing Cloud, continue to attract more third-party content and service providers onto our platform, which improves user experience. Merchants are adopting our Direct-to-Consumer model to get closer to their customers. Traditional e-commerce tends to accentuate its platform over the strengthening of individual brands and merchants. Baidu, on the other hand, empowers merchants to build their own online presence and grow their brand by leveraging our social and live streaming capabilities, e-commerce features, and AI tools from our Marketing Cloud. Our AI building blocks, coupled with Marketing Cloud, help merchants acquire customers, better understand them, engage with them, and perform lifetime customer management. Such search-to-transaction, closed-loop experience improves user stickiness, resulting in daily logged on users on Baidu App reaching over 75%, that is up 16 points from a year ago. On social and interest-based communities, our search users sometimes have questions on their search results. With professional content providers, like attorneys and designers, opening enterprise accounts on Baijiahao, they are able to respond to search queries and interact directly with users. 8% of our top one search results now enable users to ask questions and interact with the original content provider. Baidu Health has attracted approximately 300,000 doctors and medical experts to provide in-depth, authoritative content and online consultation to consumers. As our users adapt to more services on Baidu, we see a great opportunity to offer non-AI services of our own to meet the needs of our large user base. When you couple this with the robust growth of our AI business, non-advertising revenue could possibly exceed advertising revenue with Baidu Core, within Baidu Core in the next three years. With that, let me turn the call over to Herman to go through our financial highlights. Thank you, Robin. Hello, everyone. Welcome to Baidu's First Quarter 2021 call. All monetary amounts used in my discussion are in RMB unless otherwise stated. In March, we listed on the Hong Kong Stock Exchange under the ticker number 9888, raising $3.1 billion. Two weeks later, we were added to the Hong Kong Tech, the Hang Seng TECH Index, the Composite Index, and the China Enterprises Index. Listing closer to our user base with strong brand and unique profile as a leading AI company with strong internet foundation generates incremental interest for Baidu and increases our stock liquidity. Our retail tranche during the Hong Kong listing was 111 x oversubscribed, and our daily trading liquidity on the two exchanges in aggregate averaged 8.4 million shares last week, ADS adjusted, and approximately $1.6 billion U.S. in amount compared to, say, 2.8 million average daily traded shares last September, or approximately $350 million U.S. in amount. That is an increase of 4.5 x in daily trading amount on Baidu over the past seven months. Sustainability is an important focus for Baidu. We have worked diligently on ESG and were upgraded twice by MSCI last year. Greenpeace, a global environmental organization, published a report on China's cloud and data center companies, ranked Baidu top three in cloud services and number one in the utilization of renewable energy based on their April report entitled Clean Cloud: Tracking Renewable Energy Use in China's Tech Industry. Turning to financial highlights. For the first quarter of 2021, Baidu revenue reached CNY 28.1 billion, or $4.3 billion, up 25% year-over-year, driven by the growth of Baidu Core, whose revenue reached CNY 20.5 billion, or $3.1 billion, up 34% year-over-year. Non-advertising grew 70% year-over-year, accounting for 21% of Baidu Core's revenue. Let me give you more color on each area. Baidu AI Cloud was CNY 2.8 billion, up 55% year-over-year, and we expect our Baidu AI Cloud growth rate to accelerate in the future. Our cloud growth benefited from customers from the internet media, financial services, and other high-tech sectors, as well as from the strong adoption of Apollo smart transportation by cities seeking to modernize, digitalize transportation, and network vehicles. Intelligent Driving and OGI revenue also grew rapidly. Apollo self-driving or ASD, though a small base, grew over five times from last year. ADS revenue is booked upon vehicle shipment, and revenue is recognized ratably over the contract period if the service is provided over the air, in other words, upgraded regularly. Revenue for Xiaodu smart devices and services saw robust double-digit growth in the first quarter. Online marketing revenue was up 27% year-over-year, driven by Baidu App growing over 30% year-over-year. Most of our top ad vehicles performed well. CPM was up double digits. Managed Page reached 35% of Baidu Core online marketing revenue, and 4/5 of our advertisers have adopted Baidu Marketing Cloud, which is a one-stop shop to purchase online marketing, build audience, and leverage Baidu AI to enable user lifetime management. The strong adoption of our Managed Page and Marketing Cloud shows our customers' preference to move from managing their own website to operating their hosted site on Baidu to better leverage Baidu's advanced technology and tools to improve closed-loop transactions. iQIYI revenue reached RMB 8 billion, up 4% year-over-year, and its net losses narrowed to RMB 1.3 billion, down from 2.9 billion last year. iQIYI subscribers reached 105.3 million, serving as a strong foundation to support their over 50 in-house studios and produced entertainment blockbuster originals. Cost of revenues was RMB 15 billion, up 2% year-over-year, primarily due to an increase in tech and cost of goods sold, offset by a decrease in content cost and amortization, impairment of intangible assets. Baidu Core's cost of revenues increased 15% year-over-year as tech revenues increased, while iQIYI's cost of revenues decreased 10% year-over-year. Operating expenses were RMB 10.3 billion, up 25% year-over-year, primarily due to an increase in channel spending and promotional expenses, as well as R&D-related personnel expenses. SG&A for Baidu Core was up 58%, partially reflecting the ramp-up of our sales force, especially to support the pipeline of our new AI business as we look out the next six to 12 months. In addition, we accrue for bad debt allowance on new AI business, which holds accounts receivable, unlike our online marketing, which generates revenue mostly on a prepaid basis. Non-GAAP operating income for Baidu and Baidu Core were RMB 4.4 billion and 5.1 billion, or $773 million, respectively. Non-GAAP operating margin for Baidu Core was 25%. Adjusted EBITDA for Baidu and for Baidu Core were RMB 5.9 billion and 6.5 billion, or $990 million, respectively. Adjusted EBITDA margin for Baidu Core was 32% compared to 30% last year. Cash and short-term investments for Baidu and Baidu Core as of March 31st, 2021 were RMB 172.9 billion and 1 59.6 billion or $24.4 billion respectively. Free cash flow for Baidu and excluding iQIYI were RMB 2.6 billion and 4 billion, or $615 million respectively. Baidu Core had approximately 34,000 full-time employees as of March 31st, 2021, up 18% from last year. Turning to second quarter guidance. For the second quarter of 2021, Baidu expects revenue to be between RMB 29.7 billion or $4.5 billion, and RMB 32.5 billion or $5 billion, representing growth rate between 14% and 25% year-over-year, which assumes that Baidu Core will grow between 20% and 33% year-over-year. This guidance does not give any potential contribution from the acquisition of YY Live. The above forecast reflects our current and preliminary view, which is subject to substantial uncertainty. Before I turn the call back to the Operator, let me summarize our first quarter results. We continue to see strong momentum in our business, powered by our leading AI. Non-advertising revenue grew 70% from last year, accounting for over 1/5 of Baidu Core revenue. China's goal to drive innovation through technology will serve as a tailwind for our new AI business. Embarking on the digitalization of transportation and connected vehicles is like investing in a new telecom network to drive economic growth and productivity, except this time it is on a transportation network and the connected computers are smart vehicles rather than smartphones. Transportation is 16% of China's economy. Thus, AI platforms that power smart transportation, autonomous driving, and in-vehicle infotainment working in tandem can bring incredible operating efficiencies and convenience as well as improve traffic safety, reduce carbon emission for the transportation sector. Apollo autonomous driving continues to be the leader in China, with fully autonomous ride hailing open to the public in Beijing. Apollo Go ride hailing is now available to the public in three cities. We are quite encouraged that Apollo Go ride hailing is gradually permitted to charge a fee, for example, in Cangzhou as well as in Beijing. Over 10 domestic and multinational automakers have signed up with Apollo to install ASD in their new vehicles. A recognition by the auto industry that partnering with Apollo is the preferred choice versus committing to heavy investment in autonomous driving for the next decade or maybe two. Apollo's open platform and diversifying monetization to support autonomous driving through ADS, Jidu Auto, and Apollo Go ride hailing, put Apollo in a unique position to be well-funded and widely adopted. IDC ranks Baidu number one in autonomous solution for public cloud. By focusing on AI PaaS, our AI Cloud is differentiated in the market. We are seeing the implementation of our AI PaaS, drawing repeat purchases, and over the long run, we expect our AI Cloud business to have higher margin as we build on our PaaS and SaaS business compared to pure ads players. Advertising revenue growth was solid, up 27% year-over-year. Merchants are adopting our direct-to-customer model to get closer to their customers and Baidu's open platform model to accentuate the merchants by allowing them to build their brands on Baidu, access their own user data, and leverage Baidu's AI-powered cloud services is a huge opportunity for our Mobile Ecosystem. ESG is an area that we focus on. In addition to leading the industry in cloud and data center construction, we hope to contribute to sustainability in a big way as we help cities across China deploy smart transportation to significantly improve the flow of internal combustion engines and promote the crossover to EVs. Baidu is also developing smart EVs, empowering automakers with Intelligent Driving services, and providing robotaxi ride-hailing and robobuses, which are all powered by EVs. Baidu returned $300 million to shareholders under the 2020 share repurchase program this year, bringing the cumulative repurchase from last year to $2.2 billion. We are confident about our future on the strong profitability of our search and feed business and how we are using the AI technology developed from this business to fuel growth in the new AI business, which along with our other non-ad business, has a TAM 10x the size of our online marketing business and 3x the CAGR growth to 2025. Even when you exclude robotaxi ride hailing according to CIC. Operator, with that, let's now open the call to questions. Thank you, ladies and gentlemen. We will now begin the question and answer session. If you wish to ask a question, please press star one on your telephone, and wait for your name to be announced. If you wish to cancel your request, please press the pound or hash key. Participants are requested restrict one question at this time. First question comes from the line of Alicia Yap from Citigroup. Please go ahead. Hi. Thank you. Good evening, management. Robin and Herman, thanks for taking my questions. Congrats on the solid results and guidance. My questions is related to cloud, your AI Cloud business. So, w ondering if management could share some of the operating metrics. For example, the total numbers of the cloud customers and also the industry vertical that you are major in. Also, for example, how much or how big it is coming from the government or the big enterprise versus the smaller SME merchants in terms of using your cloud business. And also, the current loss ratio, that if you can share, and how you envision your cloud business to grow into in the coming quarters and years. Thank you. Cannot hear. Hello? Hi, Alicia. Yeah. Yeah. You guys hear me okay? Yeah. Yeah. The way we look at our cloud business.. The way we look at our cloud business s, 'cause you know, in our AI Cloud, there's several segments to our business. Number one is our familiar, you know, infrastructure cloud, where we have IaaS, where we have PaaS, and where we have SaaS, right? In that segment we have our key accounts, we have our SMEs, which are much smaller cloud providers. So, you know, you have your typical key accounts, when you have SMEs, we have many customers there. In addition, we also have our customers for our smart transportation in that space. So, that would be the key cities, the top-tier cities that we are in China. We don't have this exact number prepared for you today. You can think of our segment, it's mostly smart cities and mostly key accounts in our AI Cloud. You know, our top sectors are things like internet, media, financial services, and transportation. And when you look at how we're growing, I think our last, we said we're growing at 67% year-over-year. This quarter, we're growing a little slower at 55%. Part of the reason is because, if you recall last year, COVID-19 started toward the end of January. We did, we had a pretty good base in Q1 because typically, if you think about it, COVID-19 affected us a lot. When you think about the beginning of the quarter, we had a higher base. The way I would look at it is we think that we can continue to grow the way we did last quarter, you know, higher than what we have, 55% this quarter. We think that, you know, we see it in our pipeline that we should be able to grow at a higher rate. Okay. Thank you, Herman. Thank you for the questions. Next question comes from the line of Piyush Mubayi of Goldman Sachs. Please go ahead. Hi, Robin, Herman. Thank you for taking my questions. When I look at the Core, the Core seems to have bounced back very nicely in both the first quarter as well as based on the guidance you're providing for the second quarter. And the marketing revenue was up 27%, I suspect in the second quarter, based on the high end of the range of 33%, it would be a similar number. Could you just take us through some of the verticals where you're seeing spending come back very nicely, and try, so that we can try and see whether this is sustainable through the rest of the year, with clear emergence of a trend coming back very nicely? That's the first question. If I might slip in a second question, you talked about the TAM for ride hailing. I wonder if you could just take us through what your strategy is and how deep you want to go. Thank you. I'll have Dou Shen to answer your first question, and I'll take on the second one. Okay. For the first one, actually, we see pretty good performance for most [inaudible] of the one. Actually, I'm talking about the performance of the ad revenue, I think it's not only because of the low base of last year, you know, last year's first quarter. I want to actually give the credit to the three building blocks we have been working on in the past few years. As Robin mentioned in the prepared remarks, Baijiahao, and its Smart Mini Program, and also the Managed Page, they all grow quickly. These building blocks actually did provide a high-quality content and also the services to the users, so that the users, they can not only get the information as before, but they can also get the service in the closed-loop experience. With that, the user, they can complete their tasks, you know, like book a flight or buy a book of, you know, in one-stop [inaudible], instead of jumping away. So, all these building blocks, actually, they contribute to the monetization capability that we have built, especially for Baidu App. We can see it actually grows even faster than the average 27%. It's more than 30%. With that, actually, we are seeing pretty good performance for all the verticals we've done the build. Yeah. For the TAM of Apollo, it's huge. It's very large, and right now it's growing very fast. If you recall, we started to invest in autonomous driving roughly eight years ago. Over the years, Apollo has morphed into a very comprehensive platform that supports all kinds of business models and directions. That includes robotaxi, ride-hailing, that includes software service provider for the OEMs, and also that includes building our own smart EV. I think all of this effort will feed back data and other kind of market signals to the Apollo platform, making Apollo a stronger and better platform for both autonomous driving and smart transportation. We're very excited that each of these directions, including the smart transportation project we're building for many cities, because it all can be integrated together and provide a much more efficient transportation system for the cities, for the society, and provide a better experience for the drivers and the consumers. It all come together, and we are very happy we invested early, and we start to reap the benefit of all of these directions. Thank you for the question. Next question comes from Alex Yao of JP Morgan. Please go ahead. Hi, good evening, management. Thank you for taking my question. I have a couple of follow-up questions on the cloud. Robin, you mentioned the deployment of a V2X infrastructure will play, will generate a network effect to your broader Apollo strategy. Can you elaborate that network effect a little bit more? Also, what strategic benefits will the broader Apollo ecosystem benefit from the buildup of your V2X infrastructure in China? The near-term financial question is, Herman, I think you mentioned in addition to the strong gross momentum in first quarter, you expect the cloud revenue to further accelerate into the coming quarters. Can you talk about the fundamental driver to the strong revenue growth momentum, particularly in the smart city market? What is your competitive edge? Who do you see as the biggest competitor? What are the unique value proposition you bring to this market segment? Thank you. Yeah, for the V2X projects, it is quite clear that the sensors built on the roads can communicate with the vehicles. Therefore, vehicles, be it with autonomous driving capabilities or not, they are connected, so they can get signals from the infrastructure and therefore become more informed when deciding on the driving behavior. If there is a driver on the car, we can alert on any risk that is not directly visible by a human eye because there are sensors surrounding the environment that can alert the drivers, and also better tracking driver behavior in some cases. For example, in the city of Guangzhou, some commercial trucks, their license plates could be covered by mud, so the drivers were not afraid of violating the traffic laws. Now with the V2X infrastructure and on-vehicle device system sometimes installed on those trucks, the city regulators can much better track those violations, therefore making the road safer and more efficient. Of course, with vehicles with autonomous driving capabilities, they can be assured that the infrastructure can send signals to those kind of vehicles and help the vehicles to better assess the environment, therefore improve the accuracy of the planning and the controlling process for autonomous driving. The more V2X projects we deploy, the more cars can benefit from this kind of infrastructure. Therefore, the autonomous driving capabilities can improve faster, and also become safer for the passengers on the car, you know. Also it can reduce the cost of a single car because sometimes you don't have to rely on very expensive on-board devices such as high-end lidars in order to really drive fully autonomous. Herman? To add to what Robin just said, I think a couple things. You asked us for smart transportation, what are the growth drivers? One thing is recognize how AI works, right? That the more data you have synchronized, it becomes more powerful. What V2X does, for example, in Cangzhou, is 102 intersections where we are offering an AI solution that allows the traffic lights to be synchronized throughout that whole part of the city. Okay, so when you think about that and the chance of getting that phase II, so that the first phase of the project is synchronized with the second phase, that would give you that kind of network effect. That's why, for example, when you see in the city of Baoding, when we first had our first phase, we were called back for a second phase because you want that second set of lights to synchronize. And then we even see, for example, now a third part of the phase as we continue to expand the traffic lights. That's one way to expand our business, is to continue to take in more area of the city and to be able to synchronize all of the traffic lights, synchronize the traffic flow. Okay. And last, it's our competitor, we see competitors in the area, but we don't see them focusing on a whole part of the city. They're more looking at one light at a time, but we're using Baidu Brain to power the whole thing. Our opportunity is, in addition, as Robin mentioned, in the prepared remarks, once you go in there with V2X, you have the opportunity to go in there with Maps, right? Maps is our open platform in which it controls robotaxis and robobuses. Like in Cangzhou, not only does it power the robotaxis that Apollo has, you also have robobuses in there. You also have another brand of robotaxi that our Maps is powering. So you can think of it as the operating system for that part of the city. And whenever there are other robotaxi transportation and so forth, the government uses our Maps to kind of power those robotaxi, robobuses so that you could prioritize the rides and so forth. Then there's other product expansions like, for example, going to highway, going to parking and so forth. The more of these projects are synchronized, obviously through AI and so forth, you're going to make the traffic moves smoother. You're seeing two trends. One is, as we're going into cities, we're getting multiple phases. We're expanding the products. You're also seeing us entering more and more city, because a lot of cities in China now, they're leveraging on technology to improve their infrastructure rather than closing down roads and taking more land in order to widen the roads to basically reach the same goal. Thank you for the question. Next question comes from the line of Jerry Liu of UBS. Please go ahead. Hey, thank you. Thank you, management. Robin, if I may go back to your earlier statement about how non-ad revenues could surpass ad revenues in the Baidu Core in three years. So, so, i mean, that makes me feel that you guys have a bit more visibility and confidence of this mix shift. I just want to ask, what are some of the drivers you're seeing here? Now, obviously, Cloud Apollo, maybe YY Live, all can contribute to that. I'm just wondering what are maybe the bigger drivers in this mix shift? Thank you. Hi, Jerry, this is Robin. I don't know if you noticed that the kind of company Baidu is. We see that we are a leading AI company with a strong internet foundation. We can not only benefit from the investments we did over the past 10 years to get into more new businesses like Intelligent Driving, smart cloud. We also can leverage our AI capability to better monetize our strong user base we accumulated over the past 20 years. If you compare the Baidu Mobile Ecosystem with other leading Mobile Ecosystems in China, you notice that we are probably one of the very few that has online marketing revenue as the majority of total revenue. This is not a very reasonable situation. Our hundreds of millions of users can enjoy other kind of services, Baidu, not just clicking on Maps. They can pay for premium content. They can do e-commerce transactions. They can play games. They can watch live streaming and tip their influencers. There are lots of things we can do, and as we deploy more closed-loop user experience within the Baidu App, and as we leverage our AI algorithms to better recommend services and better understand users' needs, we can monetize the strong user base through multiple ways. That's how we look at this. Perfect. Just let me add to that, to Robin. You asked us what are the key drivers. I think Robin was very clear. When you look at a Mobile Ecosystem, our non-advertising like here, because we can leverage our huge user base, right? We're reaching over 1 billion mobile devices per month. Right? In addition to that, we talk about our cloud. You look at a cloud, it's pretty significant in size right now, and it's still growing very robust. I think, as we mentioned before, there's two main areas that's driving the growth. One is our infrastructure cloud. You have us differentiating with AI solutions, like on the prepared remarks, whenever we go into big customers with AI PaaS, we're seeing them having cross-selling and having upselling. Not only does it sell more PaaS and applications, you're also seeing them, for example, crossing into IaaS. Like the example we gave, one bank started buying private cloud as a result of building that relationship with us. We're going to see that digitalization of enterprises drive our sales, I think particularly in AI PaaS, particularly in application, and it's also going to allow us to go into the IaaS of that business. Smart transportation we talked about, we think that that's a huge opportunity. When you look at, for example, just last year and the number of projects that China has with transportation and so forth, there's probably over 300 cities. I think there's 302 cities accorded by the government that have transportation projects. There's huge opportunity for us in that area. When you're looking at OGI, we look at a few areas. You look at, for example, our DuerOS with smart display, smart devices, and so forth. You're looking at, for example, Apollo self-driving. We're signing up a lot of OEMs as they're starting to ship their cars in the next few years. You're going to see more and more, come on. For example, in this year, just for example, ASD, we're seeing in the pipeline. By the end of the year, we should have maybe four automakers in our ASD. Right? On top of that, we're already testing robotaxi ride-hailing. It went live in Beijing. And so, we should see that, pretty exciting in the next couple of years. So, here are just some of the areas that we think that there's potential for growth. Because the TAM is 10x and the TAM is 3x of our advertising, and you look at the pace that we have gone through, right? If you recall, just two quarters back, our non-advertising was growing 14%. Last quarter, you know, we said it was a little bit higher at 52%, and this quarter we're saying 70%. You're seeing us really starting with our buying power for our non-advertising as the AI businesses that we have incubated over the last decade start to mature and start to monetize. Thank you. Next question comes from the line of Miranda Zhuang from Bank of America. Please go ahead. Thank you, and good evening, management. Thank you for taking my question. Congratulations on the very strong results and outlook. My question is about your EV business. Can management provide any color on the scale of the financial investments that we're planning for the EV business this year, and also, as well as if there is any update to the product timeline? I would remember that in last earnings call, management mentioned about planning to launch the EV car in three years' time. I would like to check if there is any update to this plan, given that the EV market has recently becoming more and more crowded with more newcomers and more capital inflow. And so, just want to check our timeline and also want to get a sense of what will our EV business roadmap look like, and what kind of key business milestones can we expect this year and next year. Thank you. Yeah. As you know, that the EV business is a relatively independently operated company controlled by us. The goal is to make our latest and greatest technology available on the market as soon as possible. We mentioned we intend to launch that within three years, of course, the team is trying very hard to make it available earlier, as soon as possible. Our thesis remains unchanged, because Apollo is a very comprehensive platform for all kinds of autonomous technologies, and we've been investing in this for many, many years. We see a lot of opportunities to offer a unique user experience and technology through a seamless integration of software and hardware, as well as fully take advantage of infrastructure that's available to the consumers. Herman, do you have any financial color to add on that? I think, you know, the CEO just signed on. I think, you know, we're still working through our business plans. But, you know, it's.. To look at that whole EV market, there's quite a few analysts that have given projection on the size and so forth. I think where we are is, we are lucky in the sense that the hardest part, if you think about it on EVs and so forth, is the autonomous driving, that ability, being able to build Intelligent Driving and also being able to power infotainment within the car so that you're having more intelligence both within the car as a person drives and also outside of the car. I think that would give us that ability to actually be able to design a car and to have those kind of technologies and products ready. We don't have any particular numbers to give out now, but you do have projections on where the EV volume's going to be in three years. You do have other automakers that have shown in the last few years. We're going to be looking at that kind of model, and we're going to be looking at the market that fits us, our profile, as Robin mentioned, and so that, you know, in this model. Maybe another way to look at this, if you look at where a lot of the EV cars are going, a lot of them are going direct to customers, right? If you look at the model with intelligent, just like our speakers and so forth, in the past, the speakers, people sell hardware, right? When you think about EVs nowadays, you look at, for example, some of the cars, when they sell the cars, they're also trying to swap batteries so that they can get users to actually have more frequent contact so that they can also make more money after the post-sales of hardware so they could sell more services. Right? When you think about our business, number one, we're already selling a lot of services like Intelligent Driving. We're already getting a lot of our infotainment installed in OEMs and so forth. This whole business model of having more contact with the users, with the consumers to build a brand and also be able to drive more services after the initial sale of hardware is something that we're very familiar with. So, I think we'll be more prepared as we go into that model of EV and adapting to the direct to customers rather than the traditional way of just trying to make the dollars by selling just hardware. Thank you. Next question comes from Gary Yu of Morgan Stanley. Please go ahead. Hi. Thank you, Robin, Herman, and Juan. I have one follow-up question regarding your three-year kind of revenue mix outlook. Given to date, the biggest part of your non-marketing revenue is coming from AI Cloud. How should we look at contribution from various businesses in three years' time when non-marketing surpasses your marketing revenue? Should we still expect Baidu AI Cloud to be dominant driver of that, or we expect some of these autonomous driving revenue and also Apollo Go revenue will start to become more material? The related question to that is, how should we look at margin given the revenue mix shift? How should we look at the Mobile Ecosystem margin trend going forward, and by what time should we expect the non-marketing business to become profitable? Thank you. Yeah. On the revenue mix, if you look at our AI Cloud, we've been disclosing the revenue number and growth rate for a number of quarters, and you can probably do a projection based on the past performance. And, there are many other ways that we can monetize our strong user base and AI technology, through either Intelligent Driving or other things mentioned by myself and Herman. I think that when that all adds up, it should represent more than half of our total revenue. The foundation is the same. We've been accumulating the user base for the past 20 years, and we've been investing in AI technology for more than 10 years, and they all come together and opens up a lot of new opportunities for us to grow our revenue. I'll let Herman talk about the margin question. Yeah, yeah. So, you know, on the margins, let me answer several ways. I think, number one, obviously, Mobile Ecosystem search and feed, that is, you know, a mature business growing not as fast. When you have a business that we are in where our search is the largest in China, where we have tremendous amount of traffic, obviously, you're going to have very good margins. At the same time, with our Mobile Ecosystem, we were able to afford a lot of investments in these AIs, and we're leveraging these AIs into new businesses. It helps us allocate some of that cost structure into other businesses. As we're wrapping up two type of businesses, one is 2B business, right? When you think about AI Cloud going into enterprises, and we're also, you know, wrapping up our 2G business, going into cities, working with municipalities and so forth, right? So, you're going to see us, you know, getting impacted by the margins several ways. Number one is, you're going to have a cost of sales, right? Whether we're selling more AI solution projects you have cost of sales. Whether we're selling more projects with smart transportation, whether we're selling more displays, you're going to have cost of sales. Furthermore, when you're seeing a strong, steep ramp-up of our AI Cloud business, smart transportation and so forth, we have to hire ahead of the curve. We have to be looking at for the next six-12 months where our sales are going to be and hire those salespeople in early, so that we can train them for two quarters or so forth, and then they can start going out there, get orders. So, I think for the margins, as you're seeing, for example, you're seeing us give very robust Q2 revenue guidance. Then you should assume number one is a lot of that growth is coming from new AI business. You're going to see a gross margin, you know, compared to last year. You're going to see a gross margin this year more incrementally from AI business. So, you got to consider that. And secondly, you got to consider the fact that we're going to increase our sales and marketing to support the current growth and also the next few quarters. You should expect, for example, us to accrue for bad debt because these new business 2B and 2G, they all have AR allowances unlike our, you know, advertising. These are the things you should consider. So, let me just summarize. I think when you're looking at non-advertising, that the opportunity is in your typical cloud business. It's in smart transportation. Within OGI, the key drivers are going to be related to Intelligent Driving such as our ASD. And we think that our EV and our robotaxi, and then lastly, our smart devices. Here are the few areas. In terms of margins, cost of sales, you can see example, you're already seeing that, for example, in Q1. And then, we have to prepare for sales and marketing and also G&A. Okay? Thank you for the questions. Next question comes from James Lee of Mizuho. Please go ahead. Great. Thanks for taking my questions too here. First on the cloud business, clearly you guys are having a lot of success in AI point solution through customized projects. Maybe can you talk about how you plan to make the business more scalable? How close are you in building a standardized solution so you can expand across various industries using third-party developers and system integrators? Also, do you have the backlog numbers so we can get a better understanding of the underlying trends? And second is for second quarter, Herman, can you talk about maybe your expectation on expense growth and to the extent we can break out between core advertising and new investments? Thanks. First of all, I think a lot of the projects we are taking on for AI Cloud is very scalable. The solution can really be standardized on a vertical industry basis. We've been talking about smart transportation. A smart transportation project in one city can be easily copied to another city. Although it is loss-making right now, the gross margin is very good at this time already. Going forward, as we do more and more of this kind of projects, I think margin will improve. The investment in R&D will gradually pay off. I mean, the solutions are pretty standard from city to city. More broadly, I think other industries, be it in the financial industry or in the energy industry we've been building a standardized layer namely on the PaaS, Platform as a Service layer. We have a lot of AI capabilities, speech recognition capability, text-to-speech capability, OCR capability, natural language processing capability. There are lots of things that can be standardized, and we do work with system integrators to deliver turnkey solutions to many of our customers, and we will continue to do so. Going forward, I think the standard part of our AI cloud solution will become a bigger and bigger part of the total cloud revenue. Thank you. Next question comes from the line of Han Joon Kim of Macquarie. Please go ahead. Great. Thank you, management. As we looked at some of the cloud revenues for your perhaps larger peers in the market, we've noticed a few of their key accounts depart recently, partially sometimes for extenuating circumstances, but others maybe just those customers want to build out their own services and so forth. As we think about our own stickiness of our own cloud revenues and perhaps dependencies on key accounts, can you give us any kind of indication of how we think about the stickiness of that and, just in general, some observations you might have had about the market situation? Thank you. Yeah. I think at an early stage we may be, you know, v ery sensitive to one or two key customers. As the base becomes larger and larger, any single key account customer will contribute a lower and lower percentage of our total revenue. I think this is different from those standard app solutions provided to those internet and media customers like some of our peers do. We've been more focused on vertical industries. We've been providing more AI-empowered cloud solutions. I think that's a more defendable approach and a direction that's not so sensitive to any one or a few large customers. Thank you. Next question comes from Tian Hou of TH Capital. Yeah. Thank you, management, for taking my question, and congratulations on a good quarter. I have a quick question. In the EV car area, there are lots of new players in the market? Let's say Huawei right now, it's like, you know, announced that they have the EV cars. I think maybe it is better for the audience and for the street to understand, what's the advantage of Baidu's EV cars compared with other guys? That's a simple question. Thank you. Yeah, Tian. I mentioned that we've been investing in this for many years, since 2013, we've accumulated the best-in-class autonomous driving capability. Over the years, Apollo also morphed into a more comprehensive platform that offers all kinds of capabilities, be it a V2X capability, or infotainment for individual vehicles. I think, at this time, nobody on this planet has a more comprehensive solution than we do for smart EV. That's why we are very confident when we launch our own car, we can provide the best user experience and best price to performance ratio for our consumers. Our technology is just more advanced and mature than any other people in this industry. On a broader note, I think Baidu has been investing very aggressively in AI. If you think about autonomous driving, it almost uses all kinds of AI technologies. We've been investing in this for more than 10 years, we spent roughly RMB 20 billion in R&D last year. We will continue to aggressively invest in R&D over the next 10, maybe 20 years. We'll make sure that our technology, our AI technology and our autonomous driving technology will continue to lead in this market. It's very hard for anyone who comes on the street new and makes this kind of claim, and it's very hard to imagine a EV maker with a smaller market share, let's say if they are number four or number five i n terms of market share, they can afford this kind of continued intensive investment in R&D. I think it's widely known that autonomous driving will not become mature for the next 10 or even 20 years. This kind of sustained intensive investment in R&D is necessary to keep the lead in terms of technology. Thank you, management. With that, ladies and gentlemen, that does conclude the conference for today. Thank you for your participation. You may now disconnect your lines.