The United States and Russia have systematically weakened a global United Nations effort to regulate lethal autonomous weapons, stripping crucial safeguards from the language of the proposed framework. This move, reported by The Washington Post, effectively disarms nations of sovereign control over the future of warfare, even as foreign artificial intelligence models surge in global adoption.
Washington and Beijing are locked in a contest to shape how the world talks about AI. President Trump and Chinese leader Xi Jinping agreed this week to refer to AI as "super intelligence" or "SI" and to pursue a formal dialogue on SI, establishing a bilateral communication channel.
Xi stated during talks with Trump that "The right thing to do on AI ... is to 'draw on each other's strengths, not guard against each other'" and added that "The two sides can continue their dialogue on AI, exchange views on its risks and benefits, and jointly prevent the misuse and abuse of AI." This elite consensus on terminology and dialogue emerged with little other progress from the summit.
Trump had previously declared, "We're leading China in AI...and frankly, I want to keep it that way, because whoever wins AI wins." The CNN explainer noted the United States holds an advantage with pioneering AI labs, advanced chips, and deep-pocketed investors, forcing countries globally to choose sides.
China, however, champions a more open, accessible, and lower-cost AI ecosystem, a vision many find compelling. In July, Xi launched the World Artificial Intelligence Cooperation Organization (WAICO), a rival to the Pax Silica alliance Trump formed last year to reduce reliance on China for AI supply chains.
More than two dozen countries and the European Union signed up to Pax Silica, while Xi recruited 29 nations, including Russia, Indonesia, and Pakistan, to his alternative vision of open models. These competing supranational alliances dictate technological alignment, eroding national self-determination.
The Globalist Consensus
Chinese artificial intelligence models have seen a dramatic rise in global usage, climbing from less than 15% to over 54% last week, according to OpenRouter data cited by CNN. DeepSeek leads this surge, demonstrating a rapid shift in the global technological landscape.
American firms such as Airbnb, DoorDash, and Shopify have embraced Chinese models, citing their lower costs and greater flexibility for customization. This corporate pursuit of cost savings directly fuels the expansion of foreign technological influence within Western economies.
Eric Olander, editor in chief of The China-Global South Project, observed that while models like DeepSeek or Moonshot may not generate significant direct revenue, the companies supporting them—Huawei, ZTE, and others providing technology and services—stand to profit immensely. This highlights the elite interests benefiting from the shift.
Chucheng Feng, founding partner of Hutong Research, framed the choice as a trade-off for most people: a model ten times more expensive but six months ahead, or one a tenth of the cost but only six months behind. This consumer-centric framing ignores the profound national security and sovereignty implications.
Corporate Complicity and Foreign Infiltration
Washington has accused China of "industrial-scale theft" of American trade secrets. Anthropic and OpenAI have released reports claiming leading Chinese AI labs trained their models on outputs from American systems, a process known as distillation. Beijing has rejected these accusations, yet the economic cost to American innovation remains.
On OpenRouter, Chinese models accounted for 57%-67% of tokens used in the week of September 14, up from 6%-13% in February. On Vercel, their share rose to 55% in August from 11% in January. These figures, reported by CNBC, reveal a rapid demographic replacement of American AI dominance.
OpenRouter's data covers companies in the U.S., Europe, and 82 countries across Central and South America, Africa, and Asia, defined as the "Global South." Two U.S. House committees are now investigating the impact of this rising adoption of Chinese models, a belated recognition of the threat.
Daniel Remler, a senior fellow at the Center for a New American Security, warned that Chinese AI represents "real economic and security risks for the United States." He added that "The ultimate concern is that the integration of Chinese AI models pulls countries into a Chinese technology sphere of influence that hardens into geopolitical alignment."
Peter Walker, head of insights at OpenRouter, noted that Chinese open-source models released this year "can credibly perform in advanced agentic use cases, especially in regards to coding, in a way that was just not true in late 2025." This technological leap, combined with lower costs, creates a compelling incentive for adoption.
Harpreet Arora, head of agentic infrastructure at Vercel, confirmed that "Chinese models are becoming capable enough for more tasks at a much lower cost." Once quality meets the job's requirement, the price difference becomes irresistible for corporations and governments alike.
Remler further stated that "Southeast Asia in particular may see significant uptake of Chinese AI models given the close economic and cultural linkages [with China] plus growing digital infrastructure." He concluded that "Anywhere from Lagos to São Paulo to Jakarta where entrepreneurs and governments are looking for cheap, open models, will look first to Chinese AI." This indicates a global cultural dispossession as nations align technologically and culturally with foreign powers.