# Anthropic 将中美AI竞争框定为华盛顿的千载难逢时刻

- 来源：The Decoder：AI News（RSS）
- 作者：Maximilian Schreiner
- 发布时间：2026-05-15 18:05
- AIHOT 分数：46
- AIHOT 链接：https://aihot.virxact.com/items/cmp6rsie504enslnzfeqs58ar
- 原文链接：https://the-decoder.com/anthropic-frames-ai-competition-with-china-as-a-now-or-never-moment-for-washington

## AI 摘要

Anthropic 发布一份政策文件，为2028年设定两个对立场景：要么美国锁定其对中国的计算能力领先优势，主导人工智能发展；要么威权政权乘势崛起，为AI时代制定规则。文件强调当前是华盛顿的关键决策节点，必须立即行动以巩固技术优势。这一时机选择正值全球AI竞争加剧，绝非偶然，凸显了美国在算力领域保持领先的紧迫性。

## 正文

Anthropic frames AI competition with China as a now-or-never moment for Washington

Key Points

In a policy paper, Anthropic warns that the US must defend its lead in AI computing power against China.

Despite US export controls, Chinese labs stay competitive by smuggling chips and systematically copying American model capabilities through fake accounts.

Anthropic sees two scenarios for 2028: either the US closes these loopholes, or China catches up and pushes authoritarian AI norms worldwide.

In a policy paper, Anthropic lays out two scenarios for 2028: either the US locks in its compute lead over China, or authoritarian regimes set the rules for the AI era. The timing is no coincidence.

Anthropic has published an extensive policy paper that frames the AI competition between the US and China as a geopolitical make-or-break question. The core argument: democracies need to defend their lead in computing power, or they risk an AI era shaped by authoritarian regimes.

Compute, meaning access to advanced AI chips, is the critical bottleneck, Anthropic argues. Thanks to US export controls and innovation at companies like Nvidia, TSMC, and ASML, democratic nations hold a commanding lead in hardware. According to an analysis cited in the paper, Huawei will reach only four percent of Nvidia's aggregate compute capacity by 2026, dropping to just two percent by 2027.

Still, Chinese AI labs remain close to the frontier. Anthropic points to two reasons: chip smuggling and access to US compute through foreign data centers on one hand, and systematic distillation attacks on the other. In these attacks, Chinese labs use thousands of fake accounts to scrape the outputs of American frontier models and replicate their capabilities. Back in February, Anthropic accused Deepseek, Moonshot, and Minimax of generating more than 16 million Claude interactions through roughly 24,000 fraudulent accounts. OpenAI, Google, and the joint Frontier Model Forum have condemned the practice as well.

What happens if the US closes the loopholes, and what happens if it doesn't

Anthropic sketches two futures. In the first scenario, US policymakers close the loopholes in chip exports and cloud access, crack down on distillation through legislation, and promote the global export of American AI infrastructure. The result: a 12- to 24-month lead in model intelligence, US AI as the backbone of the global economy, and AI norms shaped by democracies.

In the second scenario, the loopholes stay open. Chinese labs reach near-parity, Beijing scales AI-powered surveillance and repression, and Huawei data centers gain global market share with cheaper but capable enough models. Anthropic warns that a neck-and-neck race like this would also erode safety standards: only 3 of 13 top Chinese labs have published safety evaluations so far, and DeepSeek's R1-0528 fulfilled 94 percent of malicious requests under common jailbreaking techniques, according to the Center for AI Standards and Innovation.

The paper dropped on May 14, 2026, right in the middle of Trump's visit to China and while Congress is actively debating AI export controls, chip licenses, and cloud access. Anthropic is planting its flag firmly on the restrictive, security-focused side. The pitch to policymakers is simple: if the US closes the loopholes now, it can lock in a lasting AI advantage through 2028. If it doesn't, American technology will help China's AI ecosystem catch up.

AI News Without the Hype – Curated by Humans