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Anthropic urges Uncle Sam to kneecap China's AI ambitions before 2028
Claude maker warns authoritarian regimes could set the rules unless Washington tightens chip and model controls AI monger Anthropic wants America and its allies to tighten measures aimed at curbing China's AI progress, warning of the consequences if "authoritarian governments" take the lead rather than Uncle Sam. In a lengthy missive posted on its website, the San Francisco-based org says it expects AI to deliver "transformational economic and societal impacts" in the coming years, and whether the transition goes well depends on where the most capable systems are built first. Since the technology is advancing swiftly, democratic countries have only a limited time in which to act, Anthropic believes. The measures it wants to see are nothing new: enforcing tighter export controls on chips used for AI development, such as Nvidia's GPUs, and cutting off access to American AI models. Recent history suggests these controls "have been incredibly successful," it says. But if Chinese researchers are only several months behind the US in AI capabilities, as many experts estimate, how successful can those efforts have been? AI labs in China have only built models that come close to those in America because of their talent and their knack for exploiting loopholes to get around export controls, Anthropic claims, along with distillation attacks that "illicitly extract the innovations of American companies." Many will suspect this is Anthropic's chief motivation in calling for action against China. Back in February, the Claude model maker accused China-based rivals including DeepSeek of using distillation to train their models by siphoning knowledge from Anthropic's own. As The Register pointed out at the time, accusing China of copying, while using content created by others to train your own models, shows a staggering lack of self-awareness from the AI industry. Anthropic's sermon also shows blinkered thinking. It implies that China can only advance by riding on America's coattails, and is incapable of innovating. This is despite the shockwaves generated by the release of the DeepSeek R1 model early in 2025, believed to be on a par with the best US models. Numerous reports also indicate that Chinese organizations have made huge strides with domestically developed AI silicon, and Beijing even tried to discourage tech companies in the country from buying and using Nvidia chips. Anthropic sets out two scenarios for what the world could look like in 2028, a date when it expects "transformative AI systems" to have emerged. In the first scenario, America has "successfully defended its compute advantage," and "democracies set the rules and norms around AI." The second has China overtaking the US, leading to AI norms and rules being shaped by authoritarian regimes, with the best models enabling "automated repression at scale." Another problem with Anthropic's plan is that many countries, especially in Europe, view both American and Chinese AI supremacy as a threat to democracy. There is a concerted push in Europe for "digital sovereignty" to minimize reliance on US technology, for example. Others warn it could erode democracy in America itself. Anthropic can draw little comfort from the Trump administration, which has a constantly shifting attitude to China. Export controls were said not to be high on the agenda during the President's trip to Beijing this week, and it was reported that the US has now cleared around 10 Chinese firms to buy Nvidia's second-most powerful AI chip, the H200. ®
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Anthropic warns China could overtake the US in global AI race by 2028
Anthropic is releasing a new policy paper warning that China could eventually overtake the United States in the global AI race if Washington fails to strengthen chip restrictions and defend its technological advantage. The paper argues that advanced artificial intelligence will soon become one of the world's most important geopolitical tools, shaping military power, cyber capabilities, economic growth, and global influence. Anthropic said the US currently leads in the technologies needed to build frontier AI systems, but warned that the gap with China may close faster than many policymakers expect.
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The Critical Warning Hidden in Anthropic's US-China AI Stance
The escalating competition between the United States and China in artificial intelligence (AI) is reshaping global power dynamics, with far-reaching implications for governance and societal norms. In a detailed analysis, Matthew Berman highlights Anthropic's exploration of this rivalry, focusing on two potential futures by 2028: one where the U.S. maintains its leadership, promoting democratic AI norms and another where China takes the lead, embedding authoritarian values into global AI standards. A key factor in this race is the U.S.'s current advantage in semiconductor export controls, which limits China's access to advanced compute resources. However, China's strategic investments in domestic innovation and alternative methods, such as distillation attacks, underscore the complexity of maintaining this edge. Dive into this overview to understand the critical factors shaping the AI race, including the risks posed by authoritarian AI systems and the challenges to U.S. export controls. You'll gain insight into Anthropic's proposed measures for securing democratic leadership, such as enhancing export restrictions and fostering global adoption of ethical AI technologies. The discussion also examines the debate over open source AI and its implications for innovation and security. These elements collectively illuminate the stakes of this competition and the urgent need for strategic action to shape the future of AI governance. Why AI Leadership Matters The race for AI supremacy is not merely about technological innovation; it is fundamentally about shaping the future of global governance and societal norms. If the U.S. retains its leadership, it can guide AI development toward transparency, accountability and ethical use, reinforcing democratic values. This leadership would enable the U.S. to set global standards for AI deployment, making sure that these technologies empower individuals rather than oppress them. Conversely, China's government is heavily investing in AI and semiconductor technologies with the explicit goal of challenging U.S. dominance. The Chinese model prioritizes centralized control, using AI for surveillance, censorship and military applications. The outcome of this rivalry will determine whether AI becomes a tool for individual empowerment or a mechanism for authoritarian control, making the stakes of this competition extraordinarily high. The Risks of Authoritarian AI AI technologies under authoritarian regimes present significant risks to global freedoms and security. In China, AI is already being used for mass surveillance, automated repression and military advancements. These tools allow the government to monitor citizens, suppress dissent and enhance its military capabilities. For example, AI-driven facial recognition systems are deployed to track individuals in real-time, while predictive policing algorithms target potential dissenters before they act. Additionally, AI-driven censorship and hacking illustrate the potential for misuse on a global scale. If China overtakes the U.S. in AI leadership, these practices could become international norms, threatening democratic freedoms worldwide. The global adoption of authoritarian AI standards would erode privacy, restrict free speech and undermine the principles of open governance. Advance your skills in Anthropic by reading more of our detailed content. Key Factors Driving the U.S.-China AI Rivalry Several critical factors are shaping the competition between the U.S. and China in AI development: * Compute Access: Advanced semiconductor chips are essential for training innovative AI models. The U.S. currently holds a strategic advantage through export controls that limit China's access to these chips. * Talent and Innovation: China features a vast pool of AI researchers and excels in algorithmic innovation. Despite restrictions on compute access, Chinese researchers are adept at finding alternative methods to advance AI capabilities. * Distillation Attacks: Chinese labs employ techniques to replicate U.S. AI advancements at lower costs, narrowing the technological gap and challenging U.S. dominance. These factors highlight the complexity of the AI race, where technological innovation, strategic policies and resource allocation intersect to shape the future of global AI leadership. Two Futures for AI Leadership Anthropic outlines two potential scenarios for AI leadership by 2028: * Scenario 1: The U.S. strengthens export controls, disrupts distillation attacks and accelerates AI adoption in democratic nations. This scenario ensures continued U.S. leadership and the promotion of ethical AI norms that prioritize transparency and accountability. * Scenario 2: China exploits weaknesses in export controls, closes the technological gap and establishes global AI norms aligned with authoritarian values. This scenario risks the widespread adoption of AI systems designed for control and repression. These contrasting futures underscore the importance of proactive measures to secure democratic leadership in AI development. Challenges to U.S. Export Controls While U.S. export controls have temporarily slowed China's progress, they face significant long-term challenges. China is actively working to develop its own semiconductor industry, aiming to reduce its reliance on foreign chips. If successful, this could neutralize the effectiveness of U.S. export restrictions, shifting the balance of power in AI development. Moreover, China's focus on innovation and resource allocation enables it to find alternative pathways to advance its AI capabilities. This includes using domestic talent, investing in research and development and forming strategic partnerships with other nations. The U.S. must address these challenges to maintain its competitive edge in the AI race. The Debate Over Open source AI Anthropic takes a firm stance against open source AI, arguing that it increases the risk of misuse and compromises safety. Open source models could enable authoritarian regimes or malicious actors to deploy AI for harmful purposes, such as surveillance, cyberattacks, or disinformation campaigns. However, critics of this position argue that open source AI fosters innovation and ensures global accessibility. By providing widespread access to AI development, open source models could accelerate progress and empower smaller nations or organizations to contribute to the field. This debate highlights the tension between innovation and security, as stakeholders weigh the benefits of openness against the risks of misuse. Anthropic's Proposed Solutions To secure U.S. leadership in AI, Anthropic recommends several strategic measures: * Enhancing export controls: Closing loopholes and preventing chip smuggling to limit China's access to critical technologies. * Protecting U.S. AI innovations: Restricting access to advanced models and deterring distillation attacks to maintain a technological edge. * Promoting global adoption: Encouraging the use of U.S.-developed AI technologies to establish democratic norms and standards worldwide. These measures aim to strengthen the U.S.'s position in the AI race while making sure that AI development aligns with ethical and democratic principles. Self-Improving AI: A Critical Milestone Anthropic identifies self-improving AI as a pivotal milestone in the AI race. By 2028, self-improving systems could significantly enhance the capabilities of the nations that develop them, potentially solidifying their leadership in AI. This technology, which allows AI systems to autonomously improve their own performance, could dramatically accelerate innovation and widen the gap between leading and lagging nations. However, the development of self-improving AI also raises concerns about safety and control. Without proper oversight, these systems could behave unpredictably or be exploited for malicious purposes. Making sure that self-improving AI aligns with democratic values will be critical to its safe and ethical deployment. Global Implications of the AI Race The political systems leading AI development will shape the global norms for its deployment. Democracies must act decisively to maintain their advantage in AI leadership and prevent authoritarian regimes from setting the agenda. The stakes are immense, as the decisions made today will determine whether AI becomes a tool for empowerment or control. The future of global governance, societal freedoms and technological innovation hinges on the outcome of this geopolitical competition. Media Credit: Matthew Berman Disclosure: Some of our articles include affiliate links. If you buy something through one of these links, Geeky Gadgets may earn an affiliate commission. Learn about our Disclosure Policy.
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US vs China: Anthropic warns how America wins or loses AI race
Chip smuggling and distillation attacks keep China close to frontier Right in the middle of Trump's official trip to China, Anthropic decided to publish a policy paper that goes beyond just throwing caution to the wind. It tries to gauge US-China AI competition and how it will unravel by 2028, ultimately arguing for stronger American control over cutting-edge tech exports to China. Why is Anthropic arguing for the US to limit the export of cutting-edge AI hardware to China? "Democracies, not authoritarian regimes, must lead in AI development and deployment," according to Anthropic. They are of the opinion that only democratic countries "can shape the rules and norms that govern these systems." The key thing Anthropic believes is worth fighting for is AI ethics and governance. Through the policy document, Anthropic's fear and warning to the world is that whichever political system gets to transformative AI first will be in a unique position to shape the rules and norms that govern AI for the whole world. Anthropic's beef in the policy paper isn't with China as a nation state as much as it's directed towards the Chinese Communist Party, where it claims how the CCP uses AI for large-scale censorship and surveillance in places like Xinjiang, and in adversarial cyber operations. Not the right role model for the world for deciding AI governance rules, believes Anthropic. That Anthropic dropped their two cents on this race between US and China when Trump and Xi Jinping were meeting in China is no coincidence. In the grand race underway between the US and China for AI supremacy, advanced semiconductors play a crucial role. Cutting edge semiconductor chips are the most important ingredient, argues Anthropic in their policy paper. And currently democracies, especially the US, dominate in producing the latest and greatest AI chips. China is still second best. Anthropic analysed NVIDIA and Huawei's roadmaps for manufacturing silicon, and concluded that Huawei will only be able to produce roughly 4% of NVIDIA's total AI compute capability in 2026 - and just 2% in 2027. That means China, on its own, can't bridge the AI compute gap with the likes of NVIDIA. And if chips export restrictions are tightened, like they were a few years ago by the Biden administration, the US will have roughly 11 times more AI compute than China. China's trying to close the gap on US AI supremacy by two key workarounds, according to Anthropic. Export controlled or banned NVIDIA silicon is either smuggled inside the country or accessed via offshore datacentres. On the software front, Anthropic warns, China carries out distillation attacks on top US frontier models to stay competitive. In fact, according to one China-based cybersecurity analyst, the preview of Claude Mythos sent some serious shockwaves. The China-based analyst called Mythos like facing "a fully automatic Gatling gun" while China is "still sharpening swords." Anthropic is taking that comment as a sign that US-based, democratic AI development is ahead of China at this point in time. But how long will this lead last? The US is staying ahead in the AI race versus China for now, but to continue that advantage for a couple of more years at least, America needs to act fast, as per Anthropic. The US continues to tighten AI chips export controls, while also cracking down on smuggled and offshore compute hubs. Distillation attacks on frontier AI models based in the US need to be disrupted as well. This will allow US-based AI models to stay 12-24 months ahead of whatever China develops, in terms of intelligence and compute capabilities, thereby making American AI as the global choice. It will allow democracies to set AI norms, according to Anthropic. Also read: Claude Mythos found decade old Firefox bugs that years of fuzzing missed Failure to act will prevent this possibility, of course, allowing China to export its AI infrastructure and models to the world, especially the Global South. Huawei and Alibaba will grow and take a greater chunk of the global AI market share, if this comes to pass. It's important to remember that this, of course, is just Anthropic's view on the race for AI supremacy between the US and China. There are many experts who argue against export control, suggesting DeepSeek as evidence that it actually helps China innovate around the hurdles faster. Jeffrey Ding, a prominent US-based expert on China's AI capabilities, points out how AI supremacy among nations shouldn't just be based on innovation but also on diffusion of technology to people at scale. Either way, let's see how Anthropic's predictions for 2028 come to fruit.
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Anthropic warns AGI could arrive by 2028, says US must stay ahead of China in AI race
Anthropic called for tighter chip export controls and restrictions on overseas compute access to preserve the US advantage in AI development. Anthropic has published a new research and policy paper warning that artificial general intelligence (AGI) can come to reality by 2028 and urging the United States to maintain its technological lead over China in advanced AI development. Taking to paper titled 2028: Two Scenarios for Global AI Leadership, Anthropic argues that AI systems are advancing rapidly and may soon handle complex scientific, engineering, cybersecurity and research tasks at levels comparable to human experts. The company described the future as having a country of geniuses in data centers, where AI models can accelerate scientific discovery, software development and even AI research itself. The company states that the nation leading advanced AI will also get major economic, political and military influence globally. The company specifically warned that authoritarian governments could potentially use powerful AI systems for mass surveillance, cyber operations and social control. Also read: Did OpenAI share your ChatGPT chats with Google and Meta? New lawsuit raises concerns According to the report, the United States currently has an advantage in AI due to its dominance in high-end chips and the computing infrastructure required for training frontier AI models. However, Anthropic stated that if loopholes in semiconductor exports, overseas compute access, and AI model access are not addressed, this lead may narrow. The company also claimed that Chinese AI firms have remained competitive by leveraging overseas compute infrastructure and what it described as distillation attacks, in which advanced AI model outputs are allegedly used to recreate similar capabilities at a lower cost. Anthropic has mentioned two potential outcomes for 2028. In the first scenario, the United States and its allies tighten export controls, preventing chip smuggling and accelerating domestic AI adoption. According to the company, this could allow democratic nations to maintain an AI capability advantage of 12 to 24 months over Chinese rivals. In the second scenario, lax enforcement and continued access to overseas infrastructure allow China to stay close to the AI frontier. Anthropic warned that this would allow China to aggressively shape the global AI ecosystem.
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AI developer Anthropic issued a stark warning that the US must tighten chip export controls and model access restrictions before 2028 to maintain its lead in the US-China AI race. The company paints two scenarios: one where democracies set AI norms, another where authoritarian regimes shape global AI governance through surveillance and censorship technologies.
Anthropic has released a comprehensive policy paper warning that the United States has a narrow window until 2028 to secure its position in the global AI competition against China
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. The San Francisco-based AI developer argues that advanced AI development will deliver transformational economic and societal impacts in the coming years, and the outcome depends critically on where the most capable systems are built first1
. The company's timing is notable, as the policy paper emerged during President Trump's official trip to China, deliberately inserting itself into ongoing discussions about technological sovereignty4
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Source: Digit
The Claude maker outlines two starkly different scenarios for what the world could look like in 2028, when it expects transformative AI systems to have emerged
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. In the first scenario, America has successfully defended its compute advantage, allowing democracies to set the rules and norms around AI development1
. This would enable the US to guide AI toward transparency, accountability and ethical use, reinforcing democratic values3
. The second scenario presents a darker picture: China overtakes the US, leading to AI norms and rules shaped by authoritarian regimes, with the best models enabling automated repression at scale1
. Anthropic warns that Artificial General Intelligence (AGI) could arrive by 2028, describing a future with a country of geniuses in data centers where AI models can accelerate scientific discovery and even AI research itself5
.Despite existing chip export controls, Chinese AI labs have built models that come close to those developed in America, according to the policy paper
1
. Anthropic attributes this to China's talent pool and their ability to exploit loopholes in export restrictions, along with distillation attacks that illicitly extract innovations from American companies1
. The company claims that export-controlled Nvidia silicon is either smuggled into the country or accessed via offshore datacenters, while Chinese firms employ distillation attacks on top US frontier models to stay competitive4
. According to one China-based cybersecurity analyst, the preview of Claude Mythos sent serious shockwaves, with the analyst describing it as facing a fully automatic Gatling gun while China is still sharpening swords4
.Anthropic analyzed Nvidia and Huawei's roadmaps for manufacturing silicon and concluded that Huawei will only be able to produce roughly 4% of Nvidia's total AI compute capability in 2026 and just 2% in 2027
4
. This means China cannot bridge the AI compute gap with Nvidia on its own, and if chip export controls are tightened, the US will have roughly 11 times more AI compute than China4
. The paper argues that advanced semiconductor chips are the most important ingredient in frontier AI development, and currently democracies, especially the US, dominate in producing the latest AI chips4
. The company called for tighter chip export controls and restrictions on overseas compute access to preserve the US advantage5
.
Source: Interesting Engineering
The policy paper emphasizes that advanced artificial intelligence will soon become one of the world's most important geopolitical tools, shaping military power, cyber capabilities, economic growth and global influence
2
. In China, AI is already being used for mass surveillance, automated repression and military advancements, with AI-driven facial recognition systems deployed to track individuals in real-time and predictive policing algorithms targeting potential dissenters3
. The company specifically warned that authoritarian governments could potentially use powerful AI systems for mass surveillance, cyber operations and social control5
. If China overtakes the US in AI leadership, these practices could become international norms, threatening democratic freedoms worldwide3
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The policy paper has drawn criticism for showing blinkered thinking by implying that China can only advance by riding on America's coattails and is incapable of innovating, despite the shockwaves generated by the release of the DeepSeek R1 model early in 2025, believed to be on par with the best US models
1
. Many experts argue against export control, suggesting DeepSeek as evidence that it actually helps China innovate around the hurdles faster4
. Jeffrey Ding, a prominent US-based expert on China's AI capabilities, points out how AI dominance among nations shouldn't just be based on innovation but also on diffusion of technology to people at scale4
. Another problem with the plan is that many countries, especially in Europe, view both American and Chinese AI supremacy as a threat to democracy, with a concerted push for digital sovereignty to minimize reliance on US technology1
.Anthropic can draw little comfort from the Trump administration, which has a constantly shifting attitude toward the US-China AI competition
1
. Export controls were reportedly not high on the agenda during the President's trip to Beijing, and it was reported that the US has now cleared around 10 Chinese firms to buy Nvidia's second-most powerful AI chip, the H2001
. To maintain technological dominance, Anthropic argues the US must tighten export controls, disrupt distillation attacks and accelerate AI adoption in democratic nations, which could allow a 12 to 24-month advantage over Chinese rivals3
5
. Failure to act will allow China to export its AI infrastructure and models to the world, especially the Global South, with Huawei and Alibaba growing to take a greater chunk of the global AI market share4
.
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