Fortune: AI Competition Shifts from Sino-U.S. Rivalry to Open-Source vs. Closed-Source Debate

ChainCatcher reports that Fortune magazine recently published a commentary stating that as China’s open-source AI models rapidly rise, the global AI competitive landscape is shifting, with the true contest now moving from U.S.-China rivalry to the clash between open-source and closed-source models. Citing data from the independent evaluation platform Artificial Analysis, the article notes that DeepSeek V4 Flash’s intelligence index is only 1 point lower than GPT-5.6 Luna, and even after OpenAI reduced prices by 80%, the former still offers a 60% lower cost per task. The author argues that while U.S. export controls aim to restrict China’s AI development, they have inadvertently spurred Chinese companies to innovate at the architectural level, compelling them to adopt open-source, low-cost approaches. Chinese models attract global developers to improve them by releasing open weights, while shifting inference costs to overseas cloud providers, enabling a cost-effective global deployment. Regarding the notion that open-source models cannot be profitable, the article likens their business model to open-source software: users pay for hosted services, and most enterprises prefer not to self-host. The article also notes that several U.S. tech figures, including former White House AI official David Sacks, have recently begun supporting open-source initiatives, and NVIDIA CEO Jensen Huang has called on the industry to embrace open-source. The author urges cooperation between the U.S. and China in AI safety, proposing that open-source AI be treated as a “global public good” rather than descending into a trillion-dollar zero-sum competition.