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US advisory body says China's data dominance gives it AI advantage
Aug 18 (Reuters) - A U.S. congressional advisory body said on Tuesday that China is commercialising and monetising data as a strategic national asset to power its AI and technology goals, which could potentially give it an advantage over the U.S. in the AI race. Beijing is "marshalling data to drive productivity ... (and) improve its intelligence collection and military capabilities," the U.S.-China Economic and Security Review Commission wrote in a report released on Tuesday. China's National Data Administration did not immediately respond to a faxed request for comment outside of working hours. While major U.S. AI companies have largely exhausted the open internet for language model training, China is systematically collecting domestic "enterprise, operational and physical-world data that cannot be scraped" -- crucial for training AI tools designed for business use, autonomous vehicles and humanoid robots, a major â symbol of Beijing's top-down innovation push. The report said for example that China's advanced manufacturing and industrial robotics ecosystems provide a vast pool of high-quality data for use in embodied AI applications -- AI systems that operate in the physical world, such as robots -- giving it a potential advantage over the U.S. in developing robotics software for commercial and military uses. "Over the last half decade, China has been able to consolidate data, find ways to label it and refine it, and hoover up new data and make sure it's quickly made available to entities," said Mike Kuiken, the commission's vice chair, in an interview. "It has the benefit of advancing their innovation ecosystem, and it has the benefit of enhancing the control of the (Chinese Communist) Party." China has tightened â its regulatory oversight of cross-border data transfer in recent years, leading to widespread compliance issues for foreign multinational firms operating in the country. In order to be in compliance with China's cross-border data regulations, the firms had to further localise their China subsidiaries and separate their China customer data from their global operations, although Beijing has since introduced limited exemptions for some firms. U.S. firms operating in China "risk running afoul of China's â strict data and cyber governance regimes," the report said. China has elevated data to a core "factor of production" alongside land, labour, capital and technology, and it established the National Data Administration body in 2023 that oversees nationwide data standardisation and classification and aims to build a unified â national market for data trading. Beijing has also pursued the commercialisation and deployment of data in its digital economy, alongside a broader push to deploy AI across all industries. It aims to standardise data assets across critical industries including manufacturing, transport, finance and healthcare, â while Chinese firms have begun to list their proprietary datasets on regional data exchanges in cities including Shanghai, Shenzhen and Beijing. "We recommend that U.S. Congress think about a national data strategy and how the U.S. government could treat data as an economic asset as our number one recommendation," Kuiken said. Reporting by Laurie Chen; Editing by Hugh Lawson Our Standards: The Thomson Reuters Trust Principles., opens new tab * Suggested Topics: * Artificial Intelligence Laurie Chen Thomson Reuters Laurie Chen is a China Correspondent at Reuters in Beijing, whose coverage focuses on the nexus of frontier technology, strategic emerging industries and geopolitics. She has reported on China for almost a decade, having previously covered China's government, defence, security and foreign policy. She has broken multiple global scoops on U.S.-China relations and the trade war 2.0, elite Chinese politics and diplomacy. She is particularly interested in Chinese frontier AI, tech and industrial policy, semiconductor supply chains, robotics, aerospace and grand strategy.
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US Advisory Body Says China's Data Dominance Gives It AI Advantage
Aug 18 (Reuters) - A U.S. congressional advisory body said on â Tuesday â that China is commercialising and monetising â data as a strategic national asset to power its AI and technology goals, which could potentially give it an advantage over the U.S. in the AI race. Beijing is "marshalling data to drive productivity ... (and) improve its intelligence collection and military capabilities," the U.S.-China Economic and Security Review Commission wrote in a report released on Tuesday. China's National Data Administration did not immediately respond to a faxed request â for comment outside â of working hours. While major U.S. AI companies have largely exhausted the open internet for language model training, China is systematically collecting domestic "enterprise, operational and physical-world data that cannot be scraped" -- crucial for training AI tools designed for business use, autonomous vehicles and humanoid robots, a major symbol of Beijing's top-down innovation push. The report said for example that China's advanced manufacturing and industrial robotics ecosystems provide a vast pool of high-quality data for use in embodied AI applications -- AI systems â that â operate in the physical world, â such as robots -- giving it a potential advantage over the U.S. in developing robotics software for commercial and military uses. "Over the last half decade, China has been able to consolidate â data, find ways to label it and refine it, and hoover up new data and make sure it's quickly made available to entities," said Mike Kuiken, the commission's vice chair, in an interview. "It has the benefit of advancing their innovation ecosystem, and it has the benefit of enhancing the control of the (Chinese Communist) Party." China has tightened its regulatory oversight of cross-border data transfer in â recent years, leading to widespread compliance issues for foreign multinational firms operating in the country. In order â to be in compliance with China's cross-border data regulations, the firms had to further localise their China subsidiaries and separate their China customer data from their global operations, although Beijing has since introduced limited exemptions for some firms. U.S. firms operating in China "risk running afoul of China's strict data and cyber governance regimes," the report said. China has elevated data to a core "factor of production" alongside land, labour, capital and technology, and it established the National Data Administration body in 2023 that oversees nationwide data standardisation and classification and aims to build a unified national market for data trading. Beijing has also pursued the commercialisation and deployment of data in its digital economy, alongside â a broader push to deploy AI across all industries. It aims to standardise data assets across critical industries including manufacturing, transport, finance and healthcare, while Chinese firms have begun to list their proprietary datasets on regional data exchanges in cities including Shanghai, Shenzhen and Beijing. "We recommend that U.S. Congress think about a national data strategy and how the U.S. government could treat data as an economic asset as our number one recommendation," Kuiken said. (Reporting by Laurie Chen; Editing by Hugh Lawson)
[3]
US advisory body says China's data dominance gives it AI advantage
Aug 18 (Reuters) - A U.S. congressional ?advisory body said on Tuesday that China is commercialising and monetising data as a strategic national asset to power its AI and technology goals, which could potentially give it an advantage over the U.S. in the AI race. Beijing is "marshalling data to drive productivity ... (and) improve its intelligence collection and military capabilities," the U.S.-China Economic and Security Review Commission wrote in a report released on Tuesday. China's National Data Administration did not immediately respond to a faxed request for comment outside of working hours. While major U.S. AI companies have largely exhausted the open internet for language model training, China is systematically collecting domestic "enterprise, operational and physical-world data that cannot be scraped" -- crucial for training AI tools designed for business use, autonomous vehicles and humanoid robots, a major symbol of Beijing's top-down innovation push. The report said for example that China's advanced manufacturing and industrial robotics ecosystems provide a vast pool of high-quality data for use in embodied AI applications -- AI systems that operate in the physical world, such as robots -- giving it a potential advantage over the U.S. in developing robotics software for commercial and military uses. "Over the last half decade, China has been able to consolidate data, find ways to label it and refine it, and hoover up new data and make sure it's quickly made available to entities," said Mike Kuiken, the commission's vice chair, in an interview. "It has the benefit of advancing their innovation ecosystem, and it has the benefit of enhancing the control of the (Chinese Communist) Party." China has tightened its regulatory oversight of cross-border data transfer in recent years, leading to widespread compliance issues for foreign multinational firms operating in the country. In order to be in compliance with China's cross-border data regulations, the firms had to further localise their China subsidiaries and separate their China customer data from their global operations, although Beijing has since introduced limited exemptions for some firms. U.S. firms operating in China "risk running afoul of China's strict data and cyber governance regimes," the report said. China has elevated data to a core "factor of production" alongside land, labour, capital and technology, and it established the National Data Administration body in 2023 that oversees nationwide data standardisation and classification and aims to build a unified national market for data trading. Beijing has also pursued the commercialisation and deployment of data in its digital economy, alongside a broader push to deploy AI across all industries. It aims to standardise data assets across critical industries including manufacturing, transport, finance and healthcare, while Chinese firms have begun to list their proprietary datasets on regional data exchanges in cities including Shanghai, Shenzhen and Beijing. "We recommend that U.S. Congress think about a national data strategy and how the U.S. government could treat data as an economic asset as our number one recommendation," Kuiken said. (Reporting by Laurie Chen; Editing by Hugh Lawson)
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A U.S. congressional advisory body warns that China is treating data as a strategic national asset to power its AI and technology goals, potentially giving it an edge in the AI race. The U.S.-China Economic and Security Review Commission highlights China's systematic collection of enterprise, operational and physical-world data that U.S. firms cannot access, particularly for training AI tools in robotics and autonomous vehicles.
The U.S.-China Economic and Security Review Commission released a report warning that China data dominance could provide a significant AI advantage over the United States
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. Beijing is commercializing and monetizing data as a strategic national asset to power its AI and technology goals, systematically marshalling this resource to drive productivity and improve intelligence collection and military capabilities2
. While major U.S. AI companies have largely exhausted the open internet for language model training AI tools, China is collecting domestic enterprise data, operational data, and physical-world data that cannot be scraped from public sources3
. This gives China access to crucial information for training AI tools designed for business use, autonomous vehicles, and humanoid robots.China's advanced manufacturing ecosystems and industrial robotics infrastructure provide a vast pool of high-quality data for embodied AI applicationsâAI systems that operate in the physical world, such as robots
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. This positions China with a potential edge over the U.S. in developing robotics software for both commercial and military uses. Mike Kuiken, the commission's vice chair, explained that over the last half decade, China has consolidated data, developed methods to label and refine it, and ensured new data is quickly made available to entities2
. This approach benefits China's innovation ecosystem while enhancing control by the Chinese Communist Party.China has elevated data to a core factor of production alongside land, labor, capital, and technology. In 2023, Beijing established the National Data Administration to oversee nationwide data standardization and classification, aiming to build a unified national market for data trading
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. The government is standardizing data assets across critical industries including manufacturing, transport, finance, and healthcare. Chinese firms have begun listing proprietary datasets on regional data exchanges in cities including Shanghai, Shenzhen, and Beijing, demonstrating AI commercialization at scale1
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China has tightened regulatory oversight of cross-border data transfers in recent years, creating widespread compliance issues for foreign multinational firms operating in the country
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. To comply with China's data governance regulations, U.S. firms had to further localize their China subsidiaries and separate Chinese customer data from global operations, though Beijing has introduced limited exemptions for some companies. The report warns that U.S. firms operating in China risk running afoul of strict data and cyber governance regimes3
.The commission recommends that U.S. Congress develop a national data strategy and consider how the U.S. government could treat data as an economic asset
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. This represents the report's top recommendation as policymakers grapple with geopolitical implications of China's systematic approach to data collection and deployment. The gap between China's coordinated national strategy and America's fragmented approach could determine which nation leads in developing next-generation AI applications across industries. Watch for potential U.S. legislative action on data policy in coming months as Washington responds to this competitive pressure.Summarized by
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