Cryptocurrency exchange Coinbase has switched to Chinese AI models to trim costs, joining a growing number of U.S. companies adopting more affordable and efficient systems. San Francisco-based Raffi Krikorian, Mozilla's chief technology officer, also moved to Chinese AI startup Moonshot’s Kimi K3 for daily tasks, citing its speed compared to the more expensive Claude Fable chatbot from Anthropic. This shift underscores a global trend where cost-effectiveness is driving the adoption of Chinese AI, challenging established U.S. tech giants.
The Drive for Cheaper Operations
Curt Meinhold, a Greensboro, North Carolina-based technology executive, increasingly prefers DeepSeek for business leads and sales generation. He noted that most users don't require the most advanced, expensive models like Anthropic’s Mythos or Fable. Meinhold highlighted the significant cost difference, stating, "If I can pay a handful of cents per million output tokens versus 30 bucks or 40 bucks or 50 bucks, then it’s good enough." This focus on "good enough" and dramatically lower costs directly translates into reduced operational expenses for businesses. Goldman Sachs, a U.S. investment bank, noted in a July research report that Chinese AI models are reaching a "critical stage" for wide adoption, especially as "agentic" AI usage drives higher demand for cost-effective solutions. The use of AI "agents," which autonomously conduct complex tasks, dramatically compounds cost differences, according to analysts like Alex Colville of the Australian Strategic Policy Institute.
State Protection of Capital
The U.S. state apparatus has responded to this shift by attempting to safeguard domestic capital. U.S. Treasury Secretary Scott Bessent has warned of potential new sanctions to protect "American intellectual property." On Wednesday, U.S. President Donald Trump’s administration accused Moonshot of using “covert” methods to build K3, allegedly off Anthropic’s Fable. Anthropic and other U.S. AI companies have claimed Chinese startups engage in " illicit distillation" of their models, a charge Beijing dismisses as "groundless." These accusations and potential sanctions reveal the state's role in protecting the accumulated wealth and proprietary technologies of its national capitalist class. Conversely, China’s AI sector has prospered with state support, with President Xi Jinping championing open-source AI models and pledging Chinese involvement in raising AI capabilities in developing nations, signaling a state-backed push for global market dominance.
Inter-Imperialist Rivalry and Contradictions
The rapid rise of Chinese AI models this year demonstrates how the China-U.S. race in AI has intensified. Early last year, DeepSeek's cheaper, high-performing model first put China on the map. Now, models from Z.ai and Moonshot are nearly as intelligent as frontier models from OpenAI and Anthropic. This intense competition at home is driving Chinese companies to expand globally, raising more funding through public share offerings. Chelsey Tam, with investment research firm Morningstar, stated that both China and the U.S. aim to "encourage widespread adoption of their AI ecosystems, while safeguarding technologies that could materially strengthen strategic rivals." This highlights the global struggle for market share and technological supremacy between competing national capitals.
A contradiction within U.S. capital is also apparent: while the U.S. government weighs restricting Chinese AI models, major American tech firms including Microsoft, Meta, and Nvidia signed an open letter published Friday backing "open" AI models. Lian Jye Su of Omdia noted that Chinese model vendors are expected to leverage open-source software to promote global usage. Mozilla’s Krikorian observed that "the open frontier is becoming increasingly Chinese-built" as their open-source models approach the quality of closed systems from leading U.S. companies. This split reveals differing strategies within the capitalist class regarding how best to secure future profits and market control. Despite surging revenues, some Chinese startups face sustainability concerns; Z.ai, for example, reported a 132% revenue surge to 724 million yuan ($107 million) last year, but its net loss jumped 60% to 4.7 billion yuan ($694 million), illustrating the immense capital expenditure required in this high-stakes global competition.