{"id":225228,"date":"2025-06-06T10:00:00","date_gmt":"2025-06-06T14:00:00","guid":{"rendered":"https:\/\/ibkrcampus.com\/campus\/?p=225228"},"modified":"2025-06-09T03:36:23","modified_gmt":"2025-06-09T07:36:23","slug":"its-time-to-take-chinese-ai-seriously","status":"publish","type":"post","link":"https:\/\/www.interactivebrokers.com\/campus\/traders-insight\/securities\/macro\/its-time-to-take-chinese-ai-seriously\/","title":{"rendered":"It\u2019s Time You Take Chinese AI Seriously."},"content":{"rendered":"\n<h2 class=\"wp-block-heading\" id=\"h-idea\"><strong>Idea<\/strong><\/h2>\n\n\n\n<p>China\u2019s AI strategy isn\u2019t about catching up to the West \u2013 it\u2019s about out-deploying it. While the US chases open-ended research and cloud-based APIs, China\u2019s wiring AI directly into the real economy: across&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/consumer\">consumer<\/a>&nbsp;platforms, supply chains, and public services. That real-world focus is already paying off \u2013 and it could power the country\u2019s next growth wave, long after&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/export\">exports<\/a>&nbsp;and property cool down.<\/p>\n\n\n\n<p>Valuations are cheap. Risks are well known. And if even one macro domino falls the right way \u2013 a policy shift, a demand recovery, a geopolitics thaw \u2013 the upside could be substantial. So I built the China AI Deployment 10 (CHAD-10) investing basket as a targeted way to express that view. These&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/stock\">stocks<\/a>&nbsp;aren\u2019t a moonshot: they\u2019re a leveraged play on one of the most consequential tech shifts in China\u2019s modern economy.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-thesis\"><strong>Thesis<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>China\u2019s AI strategy is all about real-world deployment. While the US builds frontier models and APIs, China is embedding AI into apps, devices, EVs, and services \u2013 fast and at scale.<\/li>\n\n\n\n<li>China\u2019s tech industry has the tools to do it: world-class talent, state funding, and huge investment in local chips and cloud. Strong government-and-company coordination and interlinked sectors like EVs and robotics make deployment seamless.<\/li>\n\n\n\n<li>Chinese firms are vertically and horizontally integrated. Vertically, they control the entire AI stack: infrastructure, models, and applications. And horizontally, they operate across multiple industries: EVs, smartphones, and apps. That allows them embed AI more thoroughly, grow faster, and monetize it all across products.<\/li>\n\n\n\n<li>The CHAD-10 is China\u2019s answer to the Magnificent Seven. It\u2019s a highly investable basket of ten firms powering the country\u2019s AI push.<\/li>\n\n\n\n<li>Risks like chip bans and economic troubles are real \u2013 but they\u2019re largely priced in. With low valuations and investor apathy, this could be a high-upside way to ride China\u2019s structural AI story.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-key-risks\"><strong>Key risks<\/strong><\/h2>\n\n\n\n<ul class=\"wp-block-list\">\n<li>US export bans are limiting China\u2019s access to advanced chips, and the local alternatives aren\u2019t as good.<\/li>\n\n\n\n<li>Future changes in policy could rattle the industry from time to time. China itself has been known to lay down restrictive tech rules.<\/li>\n\n\n\n<li>The economic picture isn\u2019t that great: consumer demand, the property market, and overall growth have been lukewarm, at best.<\/li>\n\n\n\n<li>Strict content controls have limited the global \u201cintelligence\u201d of China\u2019s AI models.<\/li>\n\n\n\n<li>Plus, the money-making picture is less than even: consumer AI has been growing, but enterprise uptake has been patchy, and margins thin.<\/li>\n<\/ul>\n\n\n\n<p><strong><em>China isn\u2019t trying to beat the US at AI. It\u2019s playing a different game altogether \u2013 and moving faster. While America pours billions into bigger models and frontier research, China\u2019s been keeping its eye on a broader prize: deployment.<\/em><\/strong><\/p>\n\n\n\n<p>That difference is fundamental. In the US, a handful of giants like OpenAI, Anthropic, and Google DeepMind are competing to build general intelligence and sell it back to the world via APIs and cloud services. In China, a legion of firms are wiring AI directly into the economy \u2013 powering logistics, public services, retail, and even factories. The goal is less moonshot, more ground cover.<\/p>\n\n\n\n<p>Instead of chasing one model to rule them all, Chinese firms like Alibaba, Tencent, and Baidu are building entire ecosystems \u2013 with control over the data, infrastructure, and distribution. With over a billion users on&nbsp;<strong>super apps<\/strong>&nbsp;like WeChat, Alipay, and Meituan, these firms are creating tight AI loops, with faster iteration, simpler integration, and speedier monetization.<\/p>\n\n\n\n<p>At the same time, China is emerging as an AI&nbsp;<strong>talent<\/strong>&nbsp;hub. Nearly half the world\u2019s AI researchers are Chinese \u2013 backed by university pipelines and state-funded PhD programs. More than half of AI patents are held in China. And while US chip bans still sting, China\u2019s model performance is catching up. Tencent\u2019s latest model just matched Meta\u2019s Llama 3, using just 10% of the compute. And DeepSeek\u2019s new open-source model rivaled OpenAI in math-heavy benchmarks.<\/p>\n\n\n\n<p>This contest isn\u2019t just for the tech giants. Over 400&nbsp;<strong>models<\/strong>&nbsp;have already been built in China, and over 300 of those are already cleared for commercial use. Many of them are open-source, which gives smaller firms and developers a shot at building with real firepower \u2013 and that\u2019s a sharp contrast to the West\u2019s walled-off, API-first systems. As a result, a wave of experimentation has been unleashed, sparking AI adoption across industries, not just within the BAT (Baidu, Alibaba, Tencent) trio.<\/p>\n\n\n\n<p>At the same time, the AI&nbsp;<strong>infrastructure<\/strong>&nbsp;buildout is continuing at pace. Cloud giants are spending about 400 billion Chinese yuan ($60 billion) a year on domestic chips, regional semiconductor hubs, and national compute platforms for smaller players. That&#8217;s much more than their US rivals are plunking down. Even the&nbsp;<strong>power<\/strong>&nbsp;grid in China is getting an AI makeover, with new data center zones popping up in hydro- and solar-rich regions. So while the US battles energy bottlenecks, China\u2019s building capacity to spare.<\/p>\n\n\n\n<p>The government\u2019s fingerprints are everywhere \u2013 and that\u2019s the point. In China, AI isn\u2019t just a tech&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/trend\">trend<\/a>&nbsp;\u2013 it\u2019s&nbsp;<strong>state policy<\/strong>. Local governments are deploying models in hospitals, schools, and public services, while the national government is pumping money into state-owned compute infrastructure and planning a venture fund worth an equivalent of $139 billion. With&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/export\">exports<\/a>&nbsp;and the property market no longer driving growth, AI has become the stimulus plan.<\/p>\n\n\n\n<p>The tech\u2019s rollout is already showing up in the numbers. AI is being&nbsp;<strong>embedded<\/strong>&nbsp;into smart driving systems (projected to reach 25% of new cars by the end of the year), ecommerce, supply chains, and even a Chinese government app. Gains in&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/productivity\">productivity<\/a>, retention, and&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/profit\">profit<\/a>&nbsp;margins are already showing up \u2013 with GenAI adoption driving growth of 8% to 25%, depending on the industry. And according to Morgan Stanley, the broader AI opportunity \u2013 all-in with infrastructure and services \u2013 could top&nbsp;<em>$1.4 trillion<\/em>&nbsp;by the end of the decade.<\/p>\n\n\n\n<p>There\u2019s another overriding reason why China might actually be better placed than the US to adopt AI at scale: the&nbsp;<strong>deep interlinks<\/strong>&nbsp;of the country\u2019s industries. Unlike in the West, tech firms in China tend not to focus on one niche \u2013 they operate across a web of connected sectors like EVs, batteries, robotics, smartphones,&nbsp;<em>and<\/em>&nbsp;AI. That creates a compounding loop: progress in one area speeds the others. Take Xiaomi, which parlayed its smartphone supply chain into smart appliances and now EVs. Or BYD, which makes both cars and batteries. That close integration means Chinese firms can move faster, cut costs, and turn AI into real-world products more easily \u2013 with much of the tech built and scaled at home.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img decoding=\"async\" data-src=\"https:\/\/finimize.com\/_next\/image?url=https%3A%2F%2Ffinimize-img.imgix.net%2Fhttps%253A%252F%252Fchivas-assets.s3-eu-west-1.amazonaws.com%252Fstatic%252Fimages%252FEcosystem_vF_drop.original.png%3Fixlib%3Dpython-3.1.2%26s%3D4cd4cd50793397fa69ba7a2f4fc06b34&amp;w=3840&amp;q=75\" alt=\"Chinese companies operate across interlinked industries, stacking advantages upon advantages. Source: Kyle Chan\/High Capacity.\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/figure>\n\n\n\n<p><em>Chinese companies operate across interlinked industries, stacking advantages upon advantages. Source: Kyle Chan\/High Capacity.<\/em><\/p>\n\n\n\n<p><strong>Of course, it\u2019s not all sunshine and rainbows.<\/strong>&nbsp;US&nbsp;<strong>chip&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/export\">export<\/a>&nbsp;bans<\/strong>&nbsp;still restrict China\u2019s access to the most advanced graphics processing units (GPUs), limiting an AI model\u2019s training capability and predictive performance. And, yeah, China\u2019s own chips are making headway, but they\u2019re not quite there yet.<\/p>\n\n\n\n<p>The country\u2019s&nbsp;<strong>content rules<\/strong>&nbsp;require models to align with \u201ccore socialist values\u201d \u2013 which can hamper creative or open-ended tasks like search and ideation. Plus, most Chinese models are trained on&nbsp;<strong>domestic-language data<\/strong>, making them less useful abroad. And even though&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/consumer\">consumer<\/a>&nbsp;platforms are seeing strong AI returns, enterprise&nbsp;<strong>money-making<\/strong>&nbsp;is still case-by-case.<\/p>\n\n\n\n<p><strong>For investors,<\/strong>&nbsp;it\u2019s not about picking a side \u2013 it\u2019s about understanding what each side does best. The US still leads in frontier innovation, but China is showing it can scale and deploy at speed. Both strategies create value, and both carry risks. Holding exposure to the two ecosystems isn\u2019t just diversification \u2013 it\u2019s a smart way to play the full AI stack while hedging against political, technical, or money-making uncertainty. In a game that\u2019s still being shaped by policy and infrastructure, playing both sides can be a strategic edge.<\/p>\n\n\n\n<p><strong><em>Like its US counterpart, China\u2019s AI webbing is constructed of three layers: infrastructure, models and platforms, and applications. And there are big players \u2013 and some promising niche ones \u2013 across each.<\/em><\/strong><\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-layer-1-infrastructure\"><strong>Layer 1: Infrastructure<\/strong><\/h3>\n\n\n\n<p>AI needs a physical backbone \u2013 chips, data centers, and cloud systems \u2013 and in China, that layer is under a ton of pressure. US sanctions have cut off access to Nvidia\u2019s top-tier AI chips, forcing Chinese firms to go local.&nbsp;<strong>Huawei<\/strong>&nbsp;has stepped up with some powerful new systems.&nbsp;<strong>Cambricon<\/strong>&nbsp;and&nbsp;<strong>Hygon<\/strong>&nbsp;have been rolling out replacements for Nvidia\u2019s chips. And other domestic firms have been churning out memory and chipmaking tools. But the gaps are still there \u2013 China lacks the most advanced manufacturing gear, and its own chip software isn\u2019t quite ready for primetime.<\/p>\n\n\n\n<p>That hasn\u2019t stopped the buildout, though.&nbsp;<strong>Alibaba<\/strong>,&nbsp;<strong>Tencent<\/strong>, and others are pouring money into data centers, and operators like Huawei,&nbsp;<strong>GDS<\/strong>, and&nbsp;<strong>VNET<\/strong>&nbsp;are doing much of the heavy lifting. Even&nbsp;<strong>Lenovo<\/strong>&nbsp;\u2013 once just a PC brand \u2013 has become a rising force in enterprise AI hardware and edge computing.<\/p>\n\n\n\n<p>And that\u2019s just the tip of the iceberg \u2013 dozens of smaller, fast-moving startups like&nbsp;<strong>Enflame<\/strong>&nbsp;and&nbsp;<strong>Black Sesame<\/strong>&nbsp;are racing to build next-gen AI chips and infrastructure, with strong government backing and growing market share.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-layer-2-ai-models-and-platforms\"><strong>Layer 2: AI models and platforms<\/strong><\/h3>\n\n\n\n<p>In China\u2019s stack, the platform layer is where the real scale kicks in. Sitting between the chips and the end-user apps, it\u2019s built to achieve three things: training foundation models, hosting them in the cloud, and giving developers the tools to build AI into their own systems.<\/p>\n\n\n\n<p>What sets Chinese platforms apart is their level of control.&nbsp;<strong>Alibaba<\/strong>,&nbsp;<strong>Tencent<\/strong>, and&nbsp;<strong>Baidu<\/strong>&nbsp;don\u2019t just build models \u2013 they run them on proprietary cloud infrastructure and plug them into massive digital ecosystems. That gives them the trifecta: scale, speed, and data. Unlike US counterparts that mostly make money through APIs, Chinese platforms can immediately deploy models across messaging, payments, commerce, and industrial workflows \u2013 collecting data, tightening feedback loops, and pushing upgrades faster.<\/p>\n\n\n\n<p><strong>Alibaba<\/strong>&nbsp;is doing this through its Qwen models, trained and deployed via Alibaba Cloud. The platform serves internal products like Taobao and Alipay, as well as external developers building retail and enterprise tools. Think of it as AWS hosting and training its own foundation models, then embedding them straight into Amazon and Venmo-style apps \u2013 all tailored for the Chinese market.<\/p>\n\n\n\n<p><strong>Tencent<\/strong>&nbsp;is taking a more&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/consumer\">consumer<\/a>-first route. Its Hunyuan models run on Tencent Cloud and are being woven into WeChat\u2019s massive ecosystem \u2013 everything from ads to content to customer service. While external developers can tap in via APIs, the real magic is in Tencent\u2019s ability to deploy AI instantly across its own apps.<\/p>\n\n\n\n<p><strong>Baidu<\/strong>\u2019s approach, meanwhile, is more industrial. Its Ernie models are embedded in Baidu Cloud and aimed at enterprise and government sectors \u2013 think smart cities, manufacturing, and transportation. Rather than chasing flashy consumer features, Baidu is focused on building adaptable, high-performance tools for complex real-world use cases.<\/p>\n\n\n\n<p>A few niche players are also worth flagging.&nbsp;<strong>iFlytek<\/strong>&nbsp;is doubling down on speech and language models, aimed at education and healthcare. Meanwhile,&nbsp;<strong>DeepSeek<\/strong>&nbsp;is making waves as China\u2019s open-source AI darling \u2013 boasting GPT-4-level reasoning but requiring a fraction of the computing power. It\u2019s early days, but its lightweight, developer-friendly models are already helping democratize China\u2019s AI infrastructure.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"h-layer-3-ai-applications\"><strong>Layer 3: AI applications<\/strong><\/h3>\n\n\n\n<p>Layer 3 is where China\u2019s AI story gets real (and potentially lucrative). It\u2019s where the focus shifts from building the tech to actually using it. That means turning everyday apps into faster, smarter, more automated versions of themselves.<\/p>\n\n\n\n<p><strong>On the consumer side,<\/strong>&nbsp;China\u2019s mobile-first ecosystem has a huge head start. Super apps like WeChat, Taobao, Meituan, and Douyin are already entwined in people\u2019s daily routines, so layering in AI \u2013 for search, recommendations, or customer service \u2013 is seamless.&nbsp;<strong>Tencent<\/strong>\u2019s Yuanbao,&nbsp;<strong>Alibaba<\/strong>\u2019s Taobao AI, and&nbsp;<strong>Meituan<\/strong>\u2019s Long Cat are rolling out AI as core utilities, not just novelties.&nbsp;<strong>ByteDance<\/strong>\u2019s Doubao,&nbsp;<strong>Bilibili\u2019s<\/strong>&nbsp;generative content tools, and&nbsp;<strong>DeepSeek<\/strong>&nbsp;are scaling quickly too. And with agentic AI \u2013 autonomous bots that operate across apps \u2013 already on the horizon, platforms like WeChat could become launchpads for the next big leap. Meanwhile,&nbsp;<strong>Zhihu<\/strong>,&nbsp;<strong>Kuaishou<\/strong>, and other platforms are testing their own AI-powered content tools \u2013 but the big question is whether all this engagement will translate into actual&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/revenue\">revenue<\/a>.<\/p>\n\n\n\n<p><strong>Enterprise AI<\/strong>&nbsp;is heating up, too. Adoption is still early, but it\u2019s moving fast. Companies like&nbsp;<strong>Baidu<\/strong>,&nbsp;<strong>iFlytek<\/strong>,&nbsp;<strong>Beisen<\/strong>,&nbsp;<strong>Kingsoft Office<\/strong>, and&nbsp;<strong>Fourth Paradigm<\/strong>&nbsp;are embedding GenAI into&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/productivity\">productivity<\/a>&nbsp;tools, analytics, and workflow automation. But China\u2019s enterprise buyers are famously frugal and prefer open source, so vendors will need to prove their AI tools save time or cut costs. The winners will be those with proprietary data and deep industry expertise.<\/p>\n\n\n\n<p>Then there\u2019s&nbsp;<strong>industrial AI<\/strong>&nbsp;\u2013 less flashy, but potentially enormous.&nbsp;<strong>Baidu<\/strong>,&nbsp;<strong>Huawei<\/strong>,&nbsp;<strong>Foxconn Industrial<\/strong>, and others working with state-owned firms to build AI systems for factories, logistics, and smart cities. It\u2019s a tricky space \u2013 lots of bespoke deals, slow scaling \u2013 but the productivity payoff could be huge.<\/p>\n\n\n\n<p>Meanwhile,&nbsp;<strong>edge AI<\/strong>&nbsp;is becoming a key feature in devices.&nbsp;<strong>Xiaomi<\/strong>,&nbsp;<strong>Roborock<\/strong>,&nbsp;<strong>DJI<\/strong>, and&nbsp;<strong>Midea<\/strong>&nbsp;are building AI into appliances, and letting them process data locally for faster, smarter responses. It\u2019s opening the door to new use cases in smart homes, energy management, and offline workflows.<\/p>\n\n\n\n<p><strong>Mobility and robotics<\/strong>&nbsp;are moving, too. XPeng and BYD are putting AI into smart cockpits and self-parking systems. And humanoid robotics \u2013 led by UBTech \u2013 are finally crossing over from lab demo to deployment, thanks to local supply chains and policy support. And the impact \u2013 from services to manufacturing \u2013 will be massive.<\/p>\n\n\n\n<p>Finally, AI is starting to reshape&nbsp;<strong>critical sectors like education and healthcare.<\/strong>&nbsp;Firms like&nbsp;<strong>TAL Education<\/strong>&nbsp;and&nbsp;<strong>Alibaba Health<\/strong>&nbsp;are using it for diagnostics, tutoring, and virtual consultations. These aren\u2019t mass-market moves yet \u2013 but they tick some key boxes for policymakers, and the potential disruption is real.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-part-3-let-s-call-it-china-s-chad-10-basket\"><strong>Part 3: Let\u2019s call it China\u2019s \u201cCHAD-10\u201d basket.<\/strong><\/h2>\n\n\n\n<p><strong><em>Now, let\u2019s talk about what\u2019s actually investable in China\u2019s AI boom. Some of the players here are privately held, or trade only on the mainland exchanges, which most foreign investors can\u2019t access. And plenty are still long on hype, but short on&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/profit\">profit<\/a>. So I\u2019ve narrowed the pool to just ten names \u2013 all listed in Hong Kong or accessible as American depositary receipts (ADRs) \u2013 each of which offer clear AI upside, scale, and tradability.<\/em><\/strong><\/p>\n\n\n\n<p>Let\u2019s start \u2013 carefully \u2013 with&nbsp;<strong>infrastructure.<\/strong><\/p>\n\n\n\n<p>AI needs it, but investing in it is no cakewalk. Key players like Huawei and Cambricon are off-limits, and the listed names \u2013 like SMIC or Lenovo \u2013 are either not pure plays or come with weak margins or hot geopolitical risk.<\/p>\n\n\n\n<p>Still, I wanted at least one infrastructure play, and GDS Holdings made the cut.<\/p>\n\n\n\n<p><strong>#1: GDS Holdings (9698.HK)<\/strong>The firm runs the data centers that power AI training and deployment. It\u2019s scaling fast, works with China\u2019s top tech firms, and is Hong Kong-listed. Not exactly Nvidia, I know, but a solid way to get AI infrastructure exposure, nonetheless.<\/p>\n\n\n\n<p><strong>Next, let\u2019s move to where the real value lies: models, platforms, and applications.<\/strong><\/p>\n\n\n\n<p>For the rest of the CHAD-10, I looked for companies doing more than just talking a big AI game. And that meant scanning for these things:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Ecosystem control.<\/strong>&nbsp;I needed firms that sit at the center of a big, sticky ecosystem \u2013 whether it\u2019s&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/consumer\">consumer<\/a>&nbsp;super apps, cloud platforms, EVs, or robotics. They\u2019d need built-in distribution, rich data loops, and a real path to monetizing AI at scale.<\/li>\n\n\n\n<li><strong>AI on the profit and loss.<\/strong>&nbsp;Forget hype: I wanted firms that are already seeing AI gains in&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/productivity\">productivity<\/a>,&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/revenue\">revenue<\/a>, or margins.<\/li>\n\n\n\n<li><strong>Strategic moats.<\/strong>&nbsp;Each company would have to be aligned with China\u2019s tech priorities \u2013 with control over data, compute, or models. That hands them staying power as the ecosystem scales.<\/li>\n<\/ul>\n\n\n\n<p>That lens helped cut through the noise \u2013 ruling out early-stage hopefuls, the hard-to-own, and the all-sizzle-no-steak names.<\/p>\n\n\n\n<p>What I had left was a group of big, liquid companies with serious scale, efficient ecosystems, and clear AI upside. Here are the&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/stock\">stocks<\/a>&nbsp;that stole the nine remaining spots and why\u2026<\/p>\n\n\n\n<p><strong>Platform + Ecosystem Leaders<\/strong><\/p>\n\n\n\n<p><strong>#2: Tencent (0700.HK)<\/strong>Think of Tencent as Meta plus PayPal, built into one super app. The company\u2019s WeChat platform has over a billion users and blends messaging, payments, maps, and loads of mini-apps \u2013 all in one place. That gives it one of the richest data sets in the world. Gaming is still Tencent\u2019s bread-and-butter, but it also whips up revenue from ads, fintech services, and cloud. And these days, it\u2019s layering AI across everything: smart replies in chat, targeted ads, personalized content, and enterprise services via Tencent Cloud. With devoted users, strong money-making streams, and rigid control of key interfaces, it\u2019s a slam dunk for the CHAD-10.<\/p>\n\n\n\n<p><strong>#3: Alibaba (9988.HK \/ BABA.US)<\/strong>If you merged Amazon, AWS, and PayPal all into one empire, you\u2019d get something that looks like Alibaba. The firm\u2019s core ecommerce platforms (Taobao, Tmall) drive massive retail volume, while AliPay and its Ant Group affiliate dominate digital payments. Logistics and cloud (via Cainiao and AliCloud) round out the stack. And now Alibaba is embedding AI across the whole thing, all while selling AI infrastructure via AliCloud. That dual exposure \u2013 serving AI&nbsp;<em>users<\/em>&nbsp;and&nbsp;<em>providers<\/em>&nbsp;\u2013 makes it one of the most leveraged names in China\u2019s AI stack, and a must-have for this basket.<\/p>\n\n\n\n<p><strong>#4: Baidu (9888.HK \/ BIDU.US)<\/strong>Baidu is still best known as China\u2019s Google \u2013 and, yeah, like Google, it\u2019s much more than a search engine. Sure, search and advertising are its core revenue drivers, but Baidu is deeply invested in AI infrastructure, autonomous driving, and smart cloud services. Baidu is also injecting generative AI across its products, like Baidu Search, Baidu Drive, and its smart assistant platform. At the same time, its Apollo autonomous driving unit is among China\u2019s most advanced, already operating robotaxis in multiple cities.<\/p>\n\n\n\n<p><strong>#5: Meituan (3690.HK)<\/strong>If DoorDash, Uber, and Yelp merged, you\u2019d get Meituan. It dominates China\u2019s local services economy \u2013 from food delivery to ride-hailing to hotel bookings. And AI powers the whole operation: dynamic pricing, courier routing, personalized offers, and automation across millions of transactions.<\/p>\n\n\n\n<p><strong>Edge AI + Devices + Mobility<\/strong><\/p>\n\n\n\n<p><strong>#6: Xiaomi (1810.HK)<\/strong>Xiaomi makes smartphones, sure, but it also makes TVs, wearables, robot vacuums \u2013 and now electric vehicles. And it\u2019s embedding AI across all of that \u2013 and pricing it for mass adoption. Its EV sedan is already a hit, and those devices generate rich user data, which feeds the AI \u2013 in turn, fueling demand for more goods and services.<\/p>\n\n\n\n<p><strong>#7: Xpeng (9868.HK \/ XPEV.US)<\/strong>Xpeng is one of the few EV players in the world building its entire autonomous driving system in-house \u2013 from chips to software and user interface. Think Tesla, but more urban-focused and software-heavy. Xpeng is already piloting AI-powered city driving, and its whole roadmap is geared toward smart mobility.<\/p>\n\n\n\n<p><strong>#8: Li Auto (2015.HK \/ LI.US)<\/strong>Li Auto is a rising star in the smart EV space, with its plug-in hybrid EVs and a line of all-electric models in the works. Its AI stack powers driver assistance, voice interaction, and one of the smartest in-cabin experiences on the market. It\u2019s not just peddling cars \u2013 it\u2019s selling a tech-first driving experience. And that\u2019s paying off: with strong&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/sales\">sales<\/a>&nbsp;growth, solid margins, and a differentiated product roadmap, Li Auto is one of the most promising smart mobility plays in China.<\/p>\n\n\n\n<p><strong>#9: UBTech (9880.HK)<\/strong>UBTech builds humanoid robots for education, security, and customer service \u2013 think Boston Dynamics meets Alexa\u2026 on wheels. With advances in generative AI, these robots are becoming more interactive and more commercially viable. It\u2019s a pure play on embodied AI, and now that it\u2019s listed in Hong Kong, this company is finally investable. Small-cap and early, but with high potential \u2013 this is one of the few ways that you can buy into the robotics layer directly.<\/p>\n\n\n\n<p><strong>#10: Horizon Robotics (9660.HK)<\/strong>Horizon designs AI chips for edge computing \u2013 things like autonomous vehicles and smart devices. So it\u2019s essentially Nvidia for China\u2019s edge stack (okay, a bit of an overstatement, but you get the idea). Its chips process data on-device, not in the cloud \u2013 which means faster response, lower cost, and more privacy. With major auto partnerships and a recent IPO, it\u2019s been helping to push China\u2019s AI ambitions beyond data centers.<\/p>\n\n\n\n<p>So, that\u2019s the lineup. The CHAD-10 basket focuses on the most accessible, AI-leveraged names in China \u2013 from dominant ecosystem platforms (Tencent, Alibaba, Meituan, Baidu) to applied AI in consumer devices and mobility (Xiaomi, Xpeng, Li Auto). It even includes two smaller, earlier-stage bets (UBTech and Horizon Robotics). And sure, firms at that stage can be riskier, but these two offer a rare pure-play exposure to robotics and edge AI.<\/p>\n\n\n\n<p>Zoom out and you\u2019ll probably notice the basket leans heavily on consumer retail, robotics and EVs. And it\u2019s not a fluke: that\u2019s where China\u2019s AI story is already hitting the real economy. It\u2019s also where local players have a real advantage, with control over supply chains, vertical integration, and government backing. And frankly, it\u2019s where monetization looks most promising right now. No surprise that many of China\u2019s biggest tech firms are doubling down on those three product lines.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"h-part-4-naturally-there-are-risks-as-well-as-opportunities\"><strong>Part 4: Naturally, there are risks as well as opportunities.<\/strong><\/h2>\n\n\n\n<p><strong><em>You rarely find opportunities without risks. So here is a look at the risks involved, as well as the potential opportunities.<\/em><\/strong><\/p>\n\n\n\n<p><strong>Okay, so there are risks\u2026<\/strong><\/p>\n\n\n\n<p>Let\u2019s be clear: there\u2019s still a bit of a gamble here.&nbsp;<strong>China\u2019s economy<\/strong>&nbsp;is still fragile. Growth is sluggish, youth unemployment is high, and the property market\u2019s still a drag. Policymakers have been slow to roll out meaningful stimulus, and if that doesn\u2019t change, the recovery could struggle even more. And that\u2019d pose a challenge for&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/consumer\">consumer<\/a>-facing companies.<\/p>\n\n\n\n<p>The global picture may not be much rosier: if the&nbsp;<strong>US economy<\/strong>&nbsp;slows or&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/interest\">interest<\/a>&nbsp;rates stay too high for too long, emerging market risk \u2013 particularly Chinese tech \u2013 might not hold much appeal. In fact, any risk-averse turn of events could push investors away.<\/p>\n\n\n\n<p>And the current&nbsp;<strong>geopolitical backdrop<\/strong>&nbsp;isn\u2019t doing China\u2019s AI scene any favors. US chip restrictions continue to throw up roadblocks, limiting access to top-tier hardware just as model training ramps up. New sanctions or tighter controls are a constant threat. Plus, Chinese ADRs still face delisting pressure in the US. And back home, the government hasn\u2019t exactly gone soft: regulators are keeping close tabs on data use, platform dominance, and algorithms. And those&nbsp;<strong>policy risks<\/strong>&nbsp;could constrain how aggressively firms can turn AI into&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/profit\">profit<\/a>.<\/p>\n\n\n\n<p><strong>Execution<\/strong>&nbsp;is another wild card. Some of the basket\u2019s names (like UBTech, Horizon Robotics, or Xpeng) are early-stage or still burning cash. Most face stiff competition. Their stories rely on scaling quickly and turning hype into hard numbers. And that path isn\u2019t likely to be smooth \u2013 or short.<\/p>\n\n\n\n<p>And of course, there\u2019s the big, overriding risk: that the AI boom itself is&nbsp;<strong>overhyped<\/strong>&nbsp;\u2013 at least right now. Some investors are already questioning whether Chinese firms have simply done a better job selling their story than building the tech. In fact, most of the bounce back since last September has come from multiples expansion \u2013 not earnings. For the rally to stick, companies now need to prove they can grow into those valuations.<\/p>\n\n\n\n<p><strong>And, yep, those risks help create the opportunity.<\/strong><\/p>\n\n\n\n<p>Most of the risks \u2013 weak demand, policy crackdowns, chip curbs, and geopolitical storms \u2013 are well-known. And that\u2019s why Chinese tech&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/stock\">stocks<\/a>&nbsp;are still down two-thirds from their 2021 highs and remain largely shunned by global investors.<\/p>\n\n\n\n<p>And sure, valuations have bounced since September, and tech has outperformed. Still, most of the CHAD-10 names are still trading at steep discounts to their US peers and global ones alike.<\/p>\n\n\n\n<p>Here\u2019s the rundown: Chinese tech\u2019s median&nbsp;<strong>price-to-earnings (P\/E) ratio<\/strong>&nbsp;sits at just 17.5x versus 32x for those US rivals, price-to-<a href=\"https:\/\/finimize.com\/glossary\/sales\">sales<\/a>&nbsp;sits at 3x versus 10x, and price-to-book at 4x versus 11x. And yet,&nbsp;<strong>expected&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/revenue\">revenue<\/a>&nbsp;growth is actually slightly higher<\/strong>&nbsp;\u2013 16% versus 12% next year, and 19% versus 14% the one after. And sure,&nbsp;<strong>gross margins tend to be lower<\/strong>&nbsp;(33% versus 50%), but that alone doesn\u2019t explain the valuation gap.<\/p>\n\n\n\n<p>Tap&nbsp;<a href=\"https:\/\/docs.google.com\/spreadsheets\/d\/1P2Rv2buxrEz6biKOVB-hgCovHQ99Il1sKmZLjXhIvl8\/edit?gid=0#gid=0\" target=\"_blank\" rel=\"noreferrer noopener\">here<\/a>&nbsp;(or the image below) to open the spreadsheet.<\/p>\n\n\n\n<p><a href=\"https:\/\/docs.google.com\/spreadsheets\/d\/1P2Rv2buxrEz6biKOVB-hgCovHQ99Il1sKmZLjXhIvl8\/edit?gid=0#gid=0\" target=\"_blank\" rel=\"noreferrer noopener\"><\/a><\/p>\n\n\n\n<figure class=\"wp-block-image\"><a class=\"sc-f616428d-0 cVWKx\" href=\"https:\/\/docs.google.com\/spreadsheets\/d\/1P2Rv2buxrEz6biKOVB-hgCovHQ99Il1sKmZLjXhIvl8\/edit?gid=0#gid=0\" target=\"_blank\" rel=\"noreferrer noopener\"><img decoding=\"async\" data-src=\"https:\/\/finimize.com\/_next\/image?url=https%3A%2F%2Ffinimize-img.imgix.net%2Fhttps%253A%252F%252Fchivas-assets.s3-eu-west-1.amazonaws.com%252Fstatic%252Fimages%252FTable_vF_drop.original.png%3Fixlib%3Dpython-3.1.2%26s%3Dbebec2074f0d8f743a7aaca716f5ffb5&amp;w=3840&amp;q=75\" alt=\"Despite attractive fundamentals and predictions, Chinese stocks trade at a big discount to their US peers \u2013 and are way below their previous highs. Sources: Finimize, Koyfin.\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\" \/><\/a><\/figure>\n\n\n\n<p><em>Despite attractive fundamentals and predictions, Chinese stocks trade at a big discount to their US peers \u2013 and are way below their previous highs. Sources: Finimize, Koyfin.<\/em><\/p>\n\n\n\n<p>In fact, that discount looks less like a bright and shining signal, and more like dull muscle memory. America\u2019s tech names have crushed it over the past five years, so it makes sense that investors might assume that they\u2019ll keep winning. Meanwhile, China\u2019s top AI&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/stock\">stocks<\/a>&nbsp;are still down 67% from their highs \u2013 dragged by policy risks, chip bans, and geopolitical heat.<\/p>\n\n\n\n<p>That doesn\u2019t guarantee a turnaround, but it does set up a powerful asymmetry: if the macro picture improves even a little \u2013 with stronger&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/consumer\">consumer<\/a>&nbsp;demand, new government support, or easing US tensions \u2013 these stocks could improve in a hurry.<\/p>\n\n\n\n<p>And with a median&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/beta\">beta<\/a>&nbsp;of just 0.5, Chinese AI stocks don\u2019t move in lockstep with US ones. That makes them a low-correlation play in the crowded global AI trade.<\/p>\n\n\n\n<p>More importantly, this remains a long-term structural opportunity. China\u2019s leaning hard into AI, and these firms are at the heart of that push. And while sentiment isn\u2019t in panic mode, it\u2019s still cautious: economic data is weak, tariff noise is clanging, and investors have put some money on the sidelines. That creates an interesting setup \u2013 a long-term growth story trading at a discount, with big fear offering a potential entry point.<\/p>\n\n\n\n<p>To be clear, this isn\u2019t about calling the bottom. It\u2019s about gaining exposure to a long-haul&nbsp;<a href=\"https:\/\/finimize.com\/glossary\/trend\">trend<\/a>&nbsp;while prices are still attractive, leaning in with the help of dollar-cost averaging. If things worsen in the short term, great: you\u2019ll take advantage when the prices dip. If they don\u2019t, that\u2019s fine too: you\u2019re already in for the gains.<\/p>\n\n\n\n<p>&#8212;<\/p>\n\n\n\n<p>Originally Posted on June 4, 2025 &#8211; <a href=\"https:\/\/finimize.com\/content\/its-time-to-take-chinese-ai-seriously\" target=\"_blank\" rel=\"noreferrer noopener\">It\u2019s Time You Take Chinese AI Seriously.<\/a><\/p>\n\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>China\u2019s AI strategy isn\u2019t about catching up to the West \u2013 it\u2019s about out-deploying it. <\/p>\n","protected":false},"author":1536,"featured_media":225256,"comment_status":"open","ping_status":"closed","sticky":true,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":"","jetpack_post_was_ever_published":false},"categories":[4,18,6,8,9,26,3],"tags":[15020,19631,19628,19630,19629],"contributors-categories":[13597],"class_list":{"0":"post-225228","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-asia","8":"category-macro","9":"category-north-america","10":"category-region","11":"category-securities","12":"category-text-articles","13":"category-traders-insight","14":"tag-ai-research","15":"tag-china-tech","16":"tag-chinese-ai","17":"tag-fengshenbang","18":"tag-xuanyuan-2-0","19":"contributors-categories-finimize"},"pp_statuses_selecting_workflow":false,"pp_workflow_action":"current","pp_status_selection":"publish","acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v27.8) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>It\u2019s Time You Take Chinese AI Seriously.<\/title>\n<meta name=\"description\" content=\"China\u2019s AI strategy isn\u2019t about catching up to the West \u2013 it\u2019s about out-deploying it.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.interactivebrokers.com\/campus\/wp-json\/wp\/v2\/posts\/225228\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"It\u2019s Time You Take Chinese AI Seriously. | IBKR Campus US\" \/>\n<meta property=\"og:description\" content=\"China\u2019s AI strategy isn\u2019t about catching up to the West \u2013 it\u2019s about out-deploying it.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.interactivebrokers.com\/campus\/traders-insight\/securities\/macro\/its-time-to-take-chinese-ai-seriously\/\" \/>\n<meta property=\"og:site_name\" content=\"IBKR Campus US\" \/>\n<meta property=\"article:published_time\" content=\"2025-06-06T14:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-06-09T07:36:23+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2025\/06\/chinese-ai-featured-img.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"1000\" \/>\n\t<meta property=\"og:image:height\" content=\"563\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"St\u00e9phane Renevier\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"St\u00e9phane Renevier\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"20 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\n\t    \"@context\": \"https:\\\/\\\/schema.org\",\n\t    \"@graph\": [\n\t        {\n\t            \"@type\": \"NewsArticle\",\n\t            \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/traders-insight\\\/securities\\\/macro\\\/its-time-to-take-chinese-ai-seriously\\\/#article\",\n\t            \"isPartOf\": {\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/traders-insight\\\/securities\\\/macro\\\/its-time-to-take-chinese-ai-seriously\\\/\"\n\t            },\n\t            \"author\": {\n\t                \"name\": \"St\u00e9phane Renevier\",\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#\\\/schema\\\/person\\\/7a6dddadf0891a8caf870d0b3eb8c0ff\"\n\t            },\n\t            \"headline\": \"It\u2019s Time You Take Chinese AI Seriously.\",\n\t            \"datePublished\": \"2025-06-06T14:00:00+00:00\",\n\t            \"dateModified\": \"2025-06-09T07:36:23+00:00\",\n\t            \"mainEntityOfPage\": {\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/traders-insight\\\/securities\\\/macro\\\/its-time-to-take-chinese-ai-seriously\\\/\"\n\t            },\n\t            \"wordCount\": 4544,\n\t            \"commentCount\": 0,\n\t            \"publisher\": {\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#organization\"\n\t            },\n\t            \"image\": {\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/traders-insight\\\/securities\\\/macro\\\/its-time-to-take-chinese-ai-seriously\\\/#primaryimage\"\n\t            },\n\t            \"thumbnailUrl\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2025\\\/06\\\/chinese-ai-featured-img.jpg\",\n\t            \"keywords\": [\n\t                \"AI Research\",\n\t                \"China tech\",\n\t                \"Chinese AI\",\n\t                \"Fengshenbang\",\n\t                \"XuanYuan 2.0\"\n\t            ],\n\t            \"articleSection\": [\n\t                \"Asia Pacific\",\n\t                \"Macro\",\n\t                \"North America\",\n\t                \"Region\",\n\t                \"Securities\",\n\t                \"Text Articles\",\n\t                \"Traders' Insight\"\n\t            ],\n\t            \"inLanguage\": \"en-US\",\n\t            \"potentialAction\": [\n\t                {\n\t                    \"@type\": \"CommentAction\",\n\t                    \"name\": \"Comment\",\n\t                    \"target\": [\n\t                        \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/traders-insight\\\/securities\\\/macro\\\/its-time-to-take-chinese-ai-seriously\\\/#respond\"\n\t                    ]\n\t                }\n\t            ]\n\t        },\n\t        {\n\t            \"@type\": \"WebPage\",\n\t            \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/traders-insight\\\/securities\\\/macro\\\/its-time-to-take-chinese-ai-seriously\\\/\",\n\t            \"url\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/traders-insight\\\/securities\\\/macro\\\/its-time-to-take-chinese-ai-seriously\\\/\",\n\t            \"name\": \"It\u2019s Time You Take Chinese AI Seriously. | IBKR Campus US\",\n\t            \"isPartOf\": {\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#website\"\n\t            },\n\t            \"primaryImageOfPage\": {\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/traders-insight\\\/securities\\\/macro\\\/its-time-to-take-chinese-ai-seriously\\\/#primaryimage\"\n\t            },\n\t            \"image\": {\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/traders-insight\\\/securities\\\/macro\\\/its-time-to-take-chinese-ai-seriously\\\/#primaryimage\"\n\t            },\n\t            \"thumbnailUrl\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2025\\\/06\\\/chinese-ai-featured-img.jpg\",\n\t            \"datePublished\": \"2025-06-06T14:00:00+00:00\",\n\t            \"dateModified\": \"2025-06-09T07:36:23+00:00\",\n\t            \"description\": \"China\u2019s AI strategy isn\u2019t about catching up to the West \u2013 it\u2019s about out-deploying it.\",\n\t            \"inLanguage\": \"en-US\",\n\t            \"potentialAction\": [\n\t                {\n\t                    \"@type\": \"ReadAction\",\n\t                    \"target\": [\n\t                        \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/traders-insight\\\/securities\\\/macro\\\/its-time-to-take-chinese-ai-seriously\\\/\"\n\t                    ]\n\t                }\n\t            ]\n\t        },\n\t        {\n\t            \"@type\": \"ImageObject\",\n\t            \"inLanguage\": \"en-US\",\n\t            \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/traders-insight\\\/securities\\\/macro\\\/its-time-to-take-chinese-ai-seriously\\\/#primaryimage\",\n\t            \"url\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2025\\\/06\\\/chinese-ai-featured-img.jpg\",\n\t            \"contentUrl\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2025\\\/06\\\/chinese-ai-featured-img.jpg\",\n\t            \"width\": 1000,\n\t            \"height\": 563\n\t        },\n\t        {\n\t            \"@type\": \"WebSite\",\n\t            \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#website\",\n\t            \"url\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/\",\n\t            \"name\": \"IBKR Campus US\",\n\t            \"description\": \"Financial Education from Interactive Brokers\",\n\t            \"publisher\": {\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#organization\"\n\t            },\n\t            \"potentialAction\": [\n\t                {\n\t                    \"@type\": \"SearchAction\",\n\t                    \"target\": {\n\t                        \"@type\": \"EntryPoint\",\n\t                        \"urlTemplate\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/?s={search_term_string}\"\n\t                    },\n\t                    \"query-input\": {\n\t                        \"@type\": \"PropertyValueSpecification\",\n\t                        \"valueRequired\": true,\n\t                        \"valueName\": \"search_term_string\"\n\t                    }\n\t                }\n\t            ],\n\t            \"inLanguage\": \"en-US\"\n\t        },\n\t        {\n\t            \"@type\": \"Organization\",\n\t            \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#organization\",\n\t            \"name\": \"Interactive Brokers\",\n\t            \"alternateName\": \"IBKR\",\n\t            \"url\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/\",\n\t            \"logo\": {\n\t                \"@type\": \"ImageObject\",\n\t                \"inLanguage\": \"en-US\",\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#\\\/schema\\\/logo\\\/image\\\/\",\n\t                \"url\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2024\\\/05\\\/ibkr-campus-logo.jpg\",\n\t                \"contentUrl\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/wp-content\\\/uploads\\\/sites\\\/2\\\/2024\\\/05\\\/ibkr-campus-logo.jpg\",\n\t                \"width\": 669,\n\t                \"height\": 669,\n\t                \"caption\": \"Interactive Brokers\"\n\t            },\n\t            \"image\": {\n\t                \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#\\\/schema\\\/logo\\\/image\\\/\"\n\t            },\n\t            \"publishingPrinciples\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/about-ibkr-campus\\\/\",\n\t            \"ethicsPolicy\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/cyber-security-notice\\\/\"\n\t        },\n\t        {\n\t            \"@type\": \"Person\",\n\t            \"@id\": \"https:\\\/\\\/ibkrcampus.com\\\/campus\\\/#\\\/schema\\\/person\\\/7a6dddadf0891a8caf870d0b3eb8c0ff\",\n\t            \"name\": \"St\u00e9phane Renevier\",\n\t            \"url\": \"https:\\\/\\\/www.interactivebrokers.com\\\/campus\\\/author\\\/stephane2renevier\\\/\"\n\t        }\n\t    ]\n\t}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"It\u2019s Time You Take Chinese AI Seriously.","description":"China\u2019s AI strategy isn\u2019t about catching up to the West \u2013 it\u2019s about out-deploying it.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.interactivebrokers.com\/campus\/wp-json\/wp\/v2\/posts\/225228\/","og_locale":"en_US","og_type":"article","og_title":"It\u2019s Time You Take Chinese AI Seriously. | IBKR Campus US","og_description":"China\u2019s AI strategy isn\u2019t about catching up to the West \u2013 it\u2019s about out-deploying it.","og_url":"https:\/\/www.interactivebrokers.com\/campus\/traders-insight\/securities\/macro\/its-time-to-take-chinese-ai-seriously\/","og_site_name":"IBKR Campus US","article_published_time":"2025-06-06T14:00:00+00:00","article_modified_time":"2025-06-09T07:36:23+00:00","og_image":[{"width":1000,"height":563,"url":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2025\/06\/chinese-ai-featured-img.jpg","type":"image\/jpeg"}],"author":"St\u00e9phane Renevier","twitter_card":"summary_large_image","twitter_misc":{"Written by":"St\u00e9phane Renevier","Est. reading time":"20 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"NewsArticle","@id":"https:\/\/ibkrcampus.com\/campus\/traders-insight\/securities\/macro\/its-time-to-take-chinese-ai-seriously\/#article","isPartOf":{"@id":"https:\/\/ibkrcampus.com\/campus\/traders-insight\/securities\/macro\/its-time-to-take-chinese-ai-seriously\/"},"author":{"name":"St\u00e9phane Renevier","@id":"https:\/\/ibkrcampus.com\/campus\/#\/schema\/person\/7a6dddadf0891a8caf870d0b3eb8c0ff"},"headline":"It\u2019s Time You Take Chinese AI Seriously.","datePublished":"2025-06-06T14:00:00+00:00","dateModified":"2025-06-09T07:36:23+00:00","mainEntityOfPage":{"@id":"https:\/\/ibkrcampus.com\/campus\/traders-insight\/securities\/macro\/its-time-to-take-chinese-ai-seriously\/"},"wordCount":4544,"commentCount":0,"publisher":{"@id":"https:\/\/ibkrcampus.com\/campus\/#organization"},"image":{"@id":"https:\/\/ibkrcampus.com\/campus\/traders-insight\/securities\/macro\/its-time-to-take-chinese-ai-seriously\/#primaryimage"},"thumbnailUrl":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2025\/06\/chinese-ai-featured-img.jpg","keywords":["AI Research","China tech","Chinese AI","Fengshenbang","XuanYuan 2.0"],"articleSection":["Asia Pacific","Macro","North America","Region","Securities","Text Articles","Traders' Insight"],"inLanguage":"en-US","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/ibkrcampus.com\/campus\/traders-insight\/securities\/macro\/its-time-to-take-chinese-ai-seriously\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/ibkrcampus.com\/campus\/traders-insight\/securities\/macro\/its-time-to-take-chinese-ai-seriously\/","url":"https:\/\/ibkrcampus.com\/campus\/traders-insight\/securities\/macro\/its-time-to-take-chinese-ai-seriously\/","name":"It\u2019s Time You Take Chinese AI Seriously. | IBKR Campus US","isPartOf":{"@id":"https:\/\/ibkrcampus.com\/campus\/#website"},"primaryImageOfPage":{"@id":"https:\/\/ibkrcampus.com\/campus\/traders-insight\/securities\/macro\/its-time-to-take-chinese-ai-seriously\/#primaryimage"},"image":{"@id":"https:\/\/ibkrcampus.com\/campus\/traders-insight\/securities\/macro\/its-time-to-take-chinese-ai-seriously\/#primaryimage"},"thumbnailUrl":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2025\/06\/chinese-ai-featured-img.jpg","datePublished":"2025-06-06T14:00:00+00:00","dateModified":"2025-06-09T07:36:23+00:00","description":"China\u2019s AI strategy isn\u2019t about catching up to the West \u2013 it\u2019s about out-deploying it.","inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/ibkrcampus.com\/campus\/traders-insight\/securities\/macro\/its-time-to-take-chinese-ai-seriously\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/ibkrcampus.com\/campus\/traders-insight\/securities\/macro\/its-time-to-take-chinese-ai-seriously\/#primaryimage","url":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2025\/06\/chinese-ai-featured-img.jpg","contentUrl":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2025\/06\/chinese-ai-featured-img.jpg","width":1000,"height":563},{"@type":"WebSite","@id":"https:\/\/ibkrcampus.com\/campus\/#website","url":"https:\/\/ibkrcampus.com\/campus\/","name":"IBKR Campus US","description":"Financial Education from Interactive Brokers","publisher":{"@id":"https:\/\/ibkrcampus.com\/campus\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/ibkrcampus.com\/campus\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/ibkrcampus.com\/campus\/#organization","name":"Interactive Brokers","alternateName":"IBKR","url":"https:\/\/ibkrcampus.com\/campus\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/ibkrcampus.com\/campus\/#\/schema\/logo\/image\/","url":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2024\/05\/ibkr-campus-logo.jpg","contentUrl":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2024\/05\/ibkr-campus-logo.jpg","width":669,"height":669,"caption":"Interactive Brokers"},"image":{"@id":"https:\/\/ibkrcampus.com\/campus\/#\/schema\/logo\/image\/"},"publishingPrinciples":"https:\/\/www.interactivebrokers.com\/campus\/about-ibkr-campus\/","ethicsPolicy":"https:\/\/www.interactivebrokers.com\/campus\/cyber-security-notice\/"},{"@type":"Person","@id":"https:\/\/ibkrcampus.com\/campus\/#\/schema\/person\/7a6dddadf0891a8caf870d0b3eb8c0ff","name":"St\u00e9phane Renevier","url":"https:\/\/www.interactivebrokers.com\/campus\/author\/stephane2renevier\/"}]}},"jetpack_featured_media_url":"https:\/\/www.interactivebrokers.com\/campus\/wp-content\/uploads\/sites\/2\/2025\/06\/chinese-ai-featured-img.jpg","_links":{"self":[{"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/posts\/225228","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/users\/1536"}],"replies":[{"embeddable":true,"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/comments?post=225228"}],"version-history":[{"count":0,"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/posts\/225228\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/media\/225256"}],"wp:attachment":[{"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/media?parent=225228"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/categories?post=225228"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/tags?post=225228"},{"taxonomy":"contributors-categories","embeddable":true,"href":"https:\/\/ibkrcampus.com\/campus\/wp-json\/wp\/v2\/contributors-categories?post=225228"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}