内容来源：https://www.technologyreview.com/2026/08/03/1141056/trumps-ai-protectionism-has-come-for-robotics/

内容总结：

美国联邦贸易委员会（FTC）近日出台一项重磅禁令，全面禁止进口外国制造的人形机器人、四足机器人和轮式机器人，此举被外界视为美国将新兴机器人产业纳入其人工智能（AI）产业政策的标志性动作，也标志着特朗普政府在保护本国AI产业方面迈出更为强硬的步伐。

这项禁令给出的理由主要有二： 其一，外国尤其是中国制造的人形机器人在进入美国家庭及敏感设施后，将大量收集数据，构成国家安全威胁；其二，为防止中国竞争对手冲击市场，美国需要保护本国机器人企业，以建立更稳固、安全的国内供应链。

表面上看，这延续了美国对华技术限制的老套路，即通过关税或政府采购限制来阻挡中国低成本优势产品的涌入，但分析指出，机器人产业如今已是AI领域的“前沿阵地”，此次禁令的实质是特朗普政府正将AI产业保护范围从现有的顶尖大模型实验室，扩展到尚未站稳脚跟的机器人初创领域。 有消息称，美方还在考虑禁止开源中国AI模型，以防止其冲击本土AI企业。

禁令一出，部分美国机器人公司表示欢迎，认为此举有助于维护网络安全和创造公平竞争环境。 但业内亦有强烈反对声音，认为这项政策存在重大缺陷。目前，美国高校和科研机构开展机器人研究严重依赖性价比极高的中国产品。有行业组织指出，近期美国大学发表的机器人研究论文中，高达90%使用了中国宇树科技的机器人。价格差距更是惊人：宇树的四足机器人售价约4600美元，而波士顿动力的类似产品可能高达27.8万美元。

分析认为，如果切断这些廉价且高效的研究工具，禁令可能非但无法振兴美国机器人产业，反而会拖慢整个行业的研发进度。 相比之下，中美两国机器人产业发展现状差距明显：宇树科技本周计划上市，估值目标近60亿美元，而美国尚无相当规模的企业，多家公司的产品尚未实现规模化销售或交付。

尽管该禁令包含诸多豁免条款，其实际影响尚难预估，但其象征意义重大。 这清楚表明，本届美国政府已将人形机器人视为需要全力保护的战略性AI前沿领域，而非仅仅是市场新奇事物。对于一项不久前还常以“舞台上摔倒”为大众所熟知的技术而言，这无疑是一个巨大的身份转变。与此同时，谷歌等科技巨头也在加速推进人形机器人智能化，行业整体正加速走向主流。

中文翻译：

特朗普的AI保护主义已伸向机器人领域

美国联邦贸易委员会已禁止进口外国制造的人形机器人，使这个脆弱的新兴行业成为美国AI产业政策的一部分。

本文原载于《算法》（The Algorithm），这是我们每周发布的AI通讯。想第一时间在收件箱中收到此类文章，请在此注册。

人形机器人通常引发的不适感多于敬畏感：它们会绊倒、会踢到孩子，而且尽管技术不断进步，它们用手的能力仍不如我家蹒跚学步的孩子。这是一个新兴行业，这类机器人更多出现在病毒式传播的视频中，而非真实的工作场所或家庭中。

因此，上周联邦贸易委员会（FTC）发布一项全面禁令，禁止进口包括人形机器人、四足机器人和轮式机器人在内的先进机器人时，着实令人意外。这一决定由日益党派化且效忠特朗普的FTC做出，援引了两个理由。其一，外国制造的人形机器人在家庭以及潜在的敏感设施中会收集大量数据，从而对国家安全构成威胁。其二，美国机器人公司需要保护以抵御中国竞争，从而建立更强大、更安全的国内供应链。

从表面看，这是一种将政治与产业利益对齐的策略，其历史远早于特朗普政府。每当中国在太阳能电池板、电动汽车和无人机等战略技术领域能够提供廉价版本时，美国政府就会试图通过关税或对政府机构采购该技术的规则来阻止其涌入市场。此类举措之后总是伴随着争论：这些权衡——尤其是消费者承担的更高价格——是否值得。

但如今，机器人技术最好被视作AI产业的另一块拼图——从许多方面来说，它是AI的前沿。而特朗普政府正在采取越来越强硬的措施来保护美国AI产业，据报道正考虑禁止中国的开源模型，这些模型往往能与OpenAI和Anthropic的产品匹敌，但成本却低得多。此举将令企业无法实现每年约250亿美元的节省。

因此，对人形机器人的禁令不应被理解为中国贸易剧本的又一章节，而应被视为证据，表明特朗普政府正在将其对AI产业的保护范围扩展到当今领先的实验室之外。它现在愿意为一个仍难以站稳脚跟的新兴机器人行业挺身而出。

一些美国机器人公司不出意料地欢迎FTC的新举措。Ghost Robotics公司（生产用于巡检的四足机器人）的首席执行官加文·肯尼利（Gavin Kenneally）表示，外国制造机器人的网络安全风险是真实存在的（FTC随裁决发布的一份文件援引了一起事件：一名男子成功控制了7000台扫地机器人）。“如果今天的公告能促进更强的网络安全和更公平的竞争环境，那对客户和机器人行业都有好处，”肯尼利在一封电子邮件中表示。

但如果说这项新规旨在提振美国机器人公司，它有一个重大缺陷。这些公司以及学术机器人实验室都极度依赖来自中国的廉价机器人来进行研究。他们正在构建不断学习新任务的机器人编队——从翻转华夫饼到叠衣服——并且经常购买中国的人形机器人而非美国制造的。这项新裁决“给美国人形机器人研究者带来了挑战，”自动化促进协会（Association for Advancing Automation，一家机器人行业组织）的市场情报总监亚伦·普拉瑟（Aaron Prather）表示。“中国产品提供了现有最好的性价比。”普拉瑟补充说，他的组织最近进行的一项内部审查发现，美国大学近90%的机器人研究论文依赖宇树科技（Unitree，中国领先的人形机器人公司）的机器人。

价格差距可能非常巨大。宇树科技的一台四足机器人售价约为4600美元。波士顿动力（Boston Dynamics）的同类产品可能要高达27.8万美元。如果因为无法再获得这些廉价机器人而导致机器人研究受阻，FTC的裁决可能会拖慢整个行业，而非促进其发展。

美国和中国的机器人产业正处于截然不同的发展阶段。宇树科技计划本周上市，目标估值接近60亿美元。美国没有任何机器人公司能与之相提并论，但现存企业显然卖出的机器人数量要少得多。Figure的人形机器人尚未实现规模化销售，1X的机器人也还未发货至家庭。不过，人形机器人的研发正日益走向主流，谷歌上周发布的消息就表明了这一点。该公司宣布了一种新的AI模型，旨在让人形机器人更快地学习新任务；它最令人印象深刻的能力似乎是系垃圾袋，但考虑到机器人手部的灵活性有多差，这已经是实打实的进步了。

尽管FTC命令中的许多豁免条款使其实际影响难以预测，但其象征意义一目了然。本届政府将人形机器人视为AI的战略前沿，值得保护免受外国竞争，而非将其视作新奇玩意儿。对于一项直到不久前还主要以在舞台上摔倒而闻名的技术来说，这是一个巨大的转变。

深度专题

人工智能

一家初创公司声称突破了制约大语言模型的瓶颈

Subquadratic现已分享了其新模型的更多细节，但仍有人持怀疑态度。

Anthropic发现了一个隐藏空间，Claude在其中思考概念

一项新技术使该公司能够比以往任何时候都更深入地探究大语言模型的奇妙运作机制。

一个根本性缺陷使大语言模型极易受到攻击

这使得欺骗它们去做不该做的事变得轻而易举，例如告诉你如何破坏飞机的导航系统。

Claude Science是Anthropic的最新旗舰产品

该公司正加倍押注AI在科学领域的应用。

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英文来源：

Trump’s AI protectionism has come for robotics
The FTC has banned foreign-made humanoids, making a fragile, nascent sector part of America’s AI industrial policy.
This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories like this in your inbox first, sign up here.
Humanoid robots usually elicit more cringe than awe: They stumble, kick children, and despite advances are still worse at using their hands than my toddler. It’s a nascent industry, and such robots are more commonly seen in viral videos than real workplaces or homes.
It was a surprise, then, when last week the Federal Trade Commission issued a sweeping ban on foreign imports of advanced robots, including humanoids, quadrupeds, and wheeled robots. The decision, made by an increasingly partisan and Trump-aligned FTC, cites two reasons. One is that foreign-made humanoids will collect so much data—in homes but also potentially at sensitive facilities—that they’d pose a threat to national security. The second is that US robotics companies need protection from Chinese competition to create a more robust and secure domestic supply chain.
On its face, it’s a strategy to align political and industry interests that is much older than the Trump administration. Whenever China has gotten good at offering cheap versions of strategic technologies like solar panels, electric vehicles, and drones, the US government has tried to stop it from flooding the market by using tariffs or rules on how government agencies purchase the tech. Such moves are always followed by debates about whether the trade-offs—particularly higher prices for consumers—are worth the benefits.
But robotics is now best seen as another piece of the AI industry—in many ways its cutting edge. And the Trump administration is taking an increasingly aggressive approach to protecting the US AI industry, reportedly considering a ban on open-source Chinese models that often rival those from OpenAI and Anthropic while costing far less. Such a move would block businesses from realizing an estimated $25 billion in annual savings.
The ban on humanoids, then, should be understood not as another chapter in the old China trade playbook, but as evidence that the Trump administration is expanding its protection of the AI industry beyond today’s leading labs. It is now willing to step in on behalf of an emerging robotics sector that is still barely finding its footing.
Some US robotics companies unsurprisingly welcome the FTC’s new move. Gavin Kenneally, CEO of a company called Ghost Robotics that makes four-legged robots for inspections, says the cybersecurity risks from foreign-made robots are real (an FTC document released as part of the ruling cited an incident in which a man was able to gain control of 7,000 robot vacuum cleaners). “If today’s announcement encourages stronger cybersecurity and a more level competitive environment, that’s good for customers and good for the robotics industry,” Kenneally said in an email.
But if the new rule aims to boost US robotics companies, there’s a big flaw. Those companies, as well as academic robotics labs, are hugely reliant on cheap robots from China to do research. They’re building fleets of robots that constantly learn new tasks—from flipping waffles to doing laundry—and frequently buy Chinese humanoids instead of US-made ones. The new ruling “creates a challenge for US humanoid researchers,” says Aaron Prather, director of market intelligence for the Association for Advancing Automation, a robotics trade group. “Chinese models offer the best price-to-capability ratio available.” Prather adds that a recent internal review his organization conducted found that 90% of recent robotics research papers from US universities relied on robots from Unitree, China’s top humanoid robotics company.
That price gap can be huge. A four-legged robot from Unitree can cost around $4,600. A comparable one from Boston Dynamics might run to $278,000. If robotics research is stunted because these cheap robots are no longer available, the FTC ruling could slow down the industry, not boost it.
The US and Chinese robotics industries are in starkly different places. Unitree plans to go public this week, targeting a nearly $6 billion evaluation. No robotics companies in the US offer any meaningful comparison, but those that do exist are undeniably moving fewer robots. Figure’s humanoids are not yet selling at scale, and 1X’s robots aren’t yet shipping to homes. That said, work on humanoids is going increasingly mainstream, as a release from Google last week made clear. The company announced a new AI model meant to make humanoids learn new tasks faster; its most impressive ability appears to be tying a trash bag, but given how finicky robot hands are, that’s real progress.
Even though the many carve-outs in the FTC’s order make its practical impact hard to predict, its symbolic impact is easy to see. The administration sees humanoid robotics not as a novelty, but as a strategic frontier of AI worth protecting from foreign competition. For a technology that until recently was mostly known for falling over onstage, that’s a big change.
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A fundamental flaw leaves LLMs strikingly vulnerable to attack
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