A high-stakes legal clash between leading American artificial intelligence firm Anthropic and the U.S. federal government has pulled back the curtain on the hegemonic logic that shapes Washington’s approach to AI development and global governance, according to international policy experts. The confrontation began earlier this month when the Biden administration labeled Anthropic a “national security supply chain risk” after the company refused to grant U.S. government agencies unfettered, unrestricted access to its proprietary large language models—access Anthropic argued could enable dangerous misuse of the technology in autonomous weapons systems and mass surveillance programs.
Last Thursday, federal Judge Rita Lin of the U.S. District Court for the Northern District of California issued a preliminary injunction temporarily blocking the administration’s actions, pausing both the supply chain risk designation and a White House order forcing all federal agencies to discontinue use of Anthropic’s AI tools. The ruling delays enforcement of the government’s ban for seven days to give the Biden administration time to file an appeal, while the court weighs the full merits of Anthropic’s lawsuit against the federal government. In her decision, Lin explicitly ruled that punishing Anthropic for drawing public attention to the government’s contracting demands amounted to unlawful retaliation against the company’s First Amendment rights. Anthropic welcomed the court’s ruling, saying in a statement that it was grateful for the court’s swift action and confident it would ultimately prevail on the full legal claims brought against the government.
The AI safety-focused firm’s co-founder and CEO Dario Amodei has long warned of the risks of concentrating advanced AI power in the hands of a small, unaccountable group of decision-makers, noting in a January blog post that he sees major danger in allowing a small cohort of actors to gain control over an autonomous army of drone systems.
Chinese policy experts who study global technology governance say the dispute lays bare a troubling expansion of U.S. national security framing that weaponizes economic and technological competition to advance geopolitical goals. He Yun, a researcher at Tsinghua University’s Belt and Road Institute and associate professor of public administration at Hunan University, argues that the U.S. government’s use of the “supply chain risk” label to pressure a private company over its ethical stances reflects a deliberate trend of expanding and instrumentalizing the concept of national security. In recent years, Washington has fully integrated economic competition and technological dominance into its national security strategy, meaning any corporate action that deviates from its military or geopolitical priorities can be instantly reclassified as a threat, He explained. “When the so-called principle of American freedom clashes with Washington’s geopolitical hegemonic objectives, it is readily sacrificed in favor of the latter,” she added.
Lang Ping, head of security studies at the Chinese Academy of Social Sciences’ Institute of World Economics and Politics, notes that the conflict underscores the U.S. government’s increasingly assertive unilateral posture in the global AI space. As a leading global AI power, the U.S. frames competition in this sector as a winner-takes-all economic and geopolitical race, Lang explained. “The US has persistently pursued a monopoly position in the global AI sector, rallying allies to develop a coordinated technological ecosystem while promoting the export of full-stack systems, with the aim of shaping a market structure centered on its own leadership,” she said.
In contrast to the U.S.’s unilateral, monopoly-seeking approach, experts highlight the inclusive governance framework China has put forward for the global AI sector. As the world’s second-largest economy and a major leader in AI innovation, China has actively worked to shape multilateral cooperative AI governance, launching the Global Initiative on AI Governance and the Global Action Plan on AI Governance to offer an inclusive alternative that centers shared benefits rather than great power competition.
China adheres to a people-centered approach and the core principle of “AI for good”, seeking to balance technological innovation, regulatory oversight and power distribution to deliver stable, inclusive AI development that benefits the entire global community. All nations, regardless of size or economic power, hold an equal right to develop and access AI technology, He Yun emphasized. China advocates building an inclusive, equitable global AI governance system under the framework of the United Nations, with a specific focus on expanding representation and capacity-building for developing nations to close the global digital divide.
By comparison, U.S. AI policy is marked by a heavy shift toward securitization and bloc-based exclusionary strategies, He noted. This reliance on unilateral action and geopolitical division risks fragmenting global AI supply chains and splitting global innovation ecosystems, exacerbating global technological inequality and raising the risk of great power confrontation over the future of AI development.
