{"id":395304,"date":"2026-01-28T16:49:07","date_gmt":"2026-01-28T16:49:07","guid":{"rendered":"https:\/\/www.newsbeep.com\/uk\/395304\/"},"modified":"2026-01-28T16:49:07","modified_gmt":"2026-01-28T16:49:07","slug":"china-lags-behind-us-at-ai-frontier-but-could-quickly-catch-up-say-experts-china","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/uk\/395304\/","title":{"rendered":"China lags behind US at AI frontier but could quickly catch up, say experts | China"},"content":{"rendered":"<p class=\"dcr-130mj7b\">Standing on stage in the eastern China tech hub of Hangzhou, Alibaba\u2019s normally media-shy CEO made an attention-grabbing announcement. \u201cThe world today is witnessing the dawn of an AI-driven intelligent revolution,\u201d Eddie Wu told a developer conference in September. \u201c<a href=\"https:\/\/www.theguardian.com\/technology\/2025\/aug\/09\/its-missing-something-agi-superintelligence-and-a-race-for-the-future\" data-link-name=\"in body link\" rel=\"nofollow noopener\" target=\"_blank\">Artificial general intelligence<\/a> (AGI) will not only amplify human intelligence but also unlock human potential, paving the way for the arrival of artificial superintelligence (ASI).\u201d<\/p>\n<p class=\"dcr-130mj7b\">ASI, Wu said, \u201ccould produce a generation of \u2018super scientists\u2019 and \u2018full-stack super engineers\u2019\u201d, who would \u201ctackle unsolved scientific and engineering problems at unimaginable speeds\u201d.<\/p>\n<p class=\"dcr-130mj7b\">Wu also announced plans to invest 380bn yuan (\u00a340bn) in AI infrastructure over the next three years, news that sent <a href=\"https:\/\/www.theguardian.com\/business\/alibaba\" data-link-name=\"in body link\" data-component=\"auto-linked-tag\" rel=\"nofollow noopener\" target=\"_blank\">Alibaba<\/a> stocks soaring to their highest in nearly four years.<\/p>\n<p class=\"dcr-130mj7b\">Wu\u2019s foray into the existential, techno-frontier rhetoric normally deployed by western tech CEOs such as OpenAI\u2019s Sam Altman and DeepMind\u2019s Demis Hassabis caught the attention of observers. \u201cWu\u2019s ASI speech represents a breakthrough,\u201d the tech writer Afra Wang wrote in her China AI newsletter, <a href=\"https:\/\/afraw.substack.com\/\" data-link-name=\"in body link\" rel=\"nofollow noopener\" target=\"_blank\">Concurrent<\/a>. \u201cMajor Chinese companies are beginning to articulate their own grand visions that carry the flavour of future prophecy.\u201d<\/p>\n<p class=\"dcr-130mj7b\">AGI, a theoretical state of AI where a highly autonomous system is able to do a human\u2019s job, has become the preoccupation of American tech companies such as OpenAI and DeepMind. Many see it as the next frontier of civilisation, and are in competition with each other, and <a href=\"https:\/\/www.theguardian.com\/world\/china\" data-link-name=\"in body link\" data-component=\"auto-linked-tag\" rel=\"nofollow noopener\" target=\"_blank\">China<\/a>, to get there. In May, the president of Microsoft, Brad Smith, told a US Senate committee on AI that the \u201crace between the United States and China for international influence likely will be won by the fastest first mover\u201d.<\/p>\n<p class=\"dcr-130mj7b\">Many in Washington have internalised these fears. The US-China economic and scurity review commission has <a href=\"https:\/\/www.uscc.gov\/sites\/default\/files\/2024-11\/2024_Annual_Report_to_Congress.pdf\" data-link-name=\"in body link\" rel=\"nofollow noopener\" target=\"_blank\">recommended<\/a> that Congress \u201cestablish and fund a Manhattan Project-like program dedicated to racing to and acquiring an artificial general intelligence (AGI) capability\u201d. The Manhattan Project was a second world war-era research operation to produce nuclear weapons.<\/p>\n<p class=\"dcr-130mj7b\">In China, many saw Wu\u2019s speech as articulating the vision of a bold, singular tech company, but not one that represented China\u2019s overall AI industry.<\/p>\n<p class=\"dcr-130mj7b\">\u201cChina certainly has research groups working towards AGI. But most AI companies are working towards better applications,\u201d said Ya-Qin Zhang, the dean of Tsinghua University\u2019s Institute for AI Industry Research and former president of the tech company Baidu.<\/p>\n<p class=\"dcr-130mj7b\">A combination of limited computing power, a pragmatic approach to technology and a keen awareness of the present day potential of AI has steered China\u2019s national AI policy towards real-life applications rather than frontier research.<\/p>\n<p class=\"dcr-130mj7b\">In August, the Chinese government published its highly anticipated \u201cAI+ strategy\u201d. The policy document outlined how AI could turbocharge China\u2019s development goals, such as by using AI to improve medical diagnoses and make supply chains more efficient. But it made no mention of AGI.<\/p>\n<p>Alibaba\u2019s Zhejiang cloud computing datacentre in Hangzhou, China. Photograph: NurPhoto\/Getty Images<\/p>\n<p class=\"dcr-130mj7b\">\u201cThe Chinese government is intently focused on reaping the benefits of AI in the here and now and in the near future through diffusion and application of AI across the economy, society, defence, and other areas,\u201d said Julian Gewirtz, a former senior director for China and Taiwan at the White House national security council. \u201cDespite its goal to \u2018catch up and surpass\u2019 the United States, we shouldn\u2019t assume that the Chinese Communist party has bought into the idea that AGI is imminent.\u201d<\/p>\n<p class=\"dcr-130mj7b\">\u201cIf you\u2019re just looking at what has been officially published \u2026 there is no clear acknowledgment of AGI at all,\u201d said Selina Xu, a China tech analyst. Xu noted that Xi Jinping, China\u2019s leader, had a history of preferring the physical economy to more intangible forces.<\/p>\n<p class=\"dcr-130mj7b\">\u201cIt\u2019s a very different narrative from the AGI race as a lot of people in DC see it,\u201d Xu said.<\/p>\n<p class=\"dcr-130mj7b\">One of the biggest factors guiding this strategy is the fact that US sanctions have prevented Chinese companies from acquiring the world\u2019s most sophisticated semiconductors, which are needed for advanced AI research.<\/p>\n<p class=\"dcr-130mj7b\">Washington has banned the sale of hi-tech microchips to China in an effort to rein in the country\u2019s AI development. <a href=\"https:\/\/www.theguardian.com\/technology\/nvidia\" data-link-name=\"in body link\" data-component=\"auto-linked-tag\" rel=\"nofollow noopener\" target=\"_blank\">Nvidia<\/a>, the world\u2019s leading chipmaker, then developed more basic semiconductors specifically for the Chinese market. In December, Washington approved the Nvidia\u2019s second-most advanced chips, the H200s, for sale in China. But Beijing has reportedly told custom agents that the chips cannot be imported into China, as the government seeks to break the country\u2019s reliance on overseas technology.<\/p>\n<p class=\"dcr-130mj7b\">China insists that \u201cnecessity is the mother of invention\u201d and points to the success of companies such as DeepSeek as proof that the US restrictions will merely spur innovation. DeepSeek\u2019s founder, Liang Wenfeng, is one of the few Chinese tech leaders who, like Alibaba\u2019s Wu, has openly expressed an interest in AGI.<\/p>\n<p class=\"dcr-130mj7b\">But until China is able to produce its own advanced semiconductors at scale, most tech companies feel it is more profitable to use the hardware they already have to focus on AI applications rather than AGI.<\/p>\n<p class=\"dcr-130mj7b\">Another factor guiding the US-China tech competition is the availability of datacentres and the energy to power them. In November, Jensen Huang, the CEO of Nvidia, said China would \u201cwin the AI race\u201d in part because of its energy subsidies for datacentres.<\/p>\n<p class=\"dcr-130mj7b\">The subsidies were reportedly introduced after Chinese tech companies complained of higher electricity bills caused by the domestic semiconductors they are obliged to use, which are less efficient than Nvidia\u2019s. In a sign of how determined China is to break its reliance on imported technology, Reuters reported that any datacentres in receipt of state funds could only use domestic chips.<\/p>\n<p class=\"dcr-130mj7b\">Such measures would reduce Nvidia\u2019s competitive advantage in China and boost domestic chip producers, such as Huawei.<\/p>\n<p class=\"dcr-130mj7b\">Since 2021, China has reportedly poured $100bn into support for AI datacentres.<\/p>\n<p class=\"dcr-130mj7b\">But there are signs that the boom may have been overzealous. A recent report from the China Academy of Information and Communications Technology said that nationwide, the utilisation rate for AI datacentres was 32%.<\/p>\n<p class=\"dcr-130mj7b\">In a recent op-ed in China Economic Weekly, Rao Shaoyang, the director at the China Telecom Research Institute, wrote that in some regions of China, the computing power industry was operating in a similar fashion to China\u2019s beleaguered property sector: build first, find buyers later. He cautioned against \u201cblindly building intelligent computing centres\u201d and said local computing power demand should be considered before building new datacentres.<\/p>\n<p class=\"dcr-130mj7b\">Despite the surplus in more general computing power, many experts believe China still does not have chips that are sophisticated enough to explore frontier research in AGI. But analysts note that the mood could change quickly.<\/p>\n<p class=\"dcr-130mj7b\">\u201cThe current status quo is highly fluid, and Xi Jinping has explicitly declared an ambition to lead the world in AI,\u201d said Gewirtz. \u201cSo the fact that China construes that goal one way at this snapshot moment in time does not give me any comfort that in a year they\u2019re going to construe it the same way.\u201d<\/p>\n<p class=\"dcr-130mj7b\">Additional research by Lillian Yang<\/p>\n","protected":false},"excerpt":{"rendered":"Standing on stage in the eastern China tech hub of Hangzhou, Alibaba\u2019s normally media-shy CEO made an attention-grabbing&hellip;\n","protected":false},"author":2,"featured_media":395305,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[554,733,4308,86,56,54,55],"class_list":{"0":"post-395304","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-artificial-intelligence","8":"tag-ai","9":"tag-artificial-intelligence","10":"tag-artificialintelligence","11":"tag-technology","12":"tag-uk","13":"tag-united-kingdom","14":"tag-unitedkingdom"},"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/395304","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/comments?post=395304"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/posts\/395304\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media\/395305"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/media?parent=395304"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/categories?post=395304"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/uk\/wp-json\/wp\/v2\/tags?post=395304"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}