How Sam Altman and Dario Amodei may face ‘China problem’ that carmakers across the US, European and Japan are facing


How Sam Altman and Dario Amodei may face 'China problem' that carmakers across the US, European and Japan are facing

As cost of AI models from OpenAI and Anthropic rise, Chinese AI models are gaining ground. According to a report in CNBC, Chinese-built AI models are gaining traction among US companies as they narrow the performance gap with leading American rivals while remaining significantly cheaper to use. Recent model releases from Chinese AI companies, including DeepSeek and Z.ai, are seen by many as highly competitive compared to leading frontier systems from the likes of Anthropic and OpenAI. The advances in these AI models come as token prices for the most advanced models rise at many US AI labs, leaving companies grappling with unexpectedly high costs.As Sam Altman‘s OpenAI and Dario Amodei’s Anthropic face rising Chinese competition it appears similar to the ‘Chinese problem’ that automakers in the US and Europe face. Over the last few years, auto giants from Japan, US and Europe have been fending increasing competition from Chinese carmakers in Europe. Once dominated by cars from the US and Japan, European market is now flooded with Chinese brands who lead in battery capacity, design and software. Honda’s CEO Toshihiro Mibe had reportedly admitted after visiting a Shanghai factory: “We have no chance against this.” Ford’s Jim Farley is said to have echoed similar sentiment, calling it “a fight for our lives.”

Cost-Consciousness drives shift to Chinese AI models

US companies are turning to Chinese artificial intelligence models at unprecedented rates, driven by skyrocketing token costs and tightening domestic regulations, according to data from developer platform OpenRouter. “A slew of compelling open-weight models have been released in the past few months, including from new players in both China and the US. Additionally, open-weight models are having a moment in the sun as cost becomes a central focus of organizations with scaled AI usage. Contrary to the expectations of many, the intelligence and capability of open-weight models are keeping up with US frontier labs, and have been maintaining a consistent 3-6 month gap for over 18 months. The frontier labs do not (at this moment, anyway) appear to be accelerating away from open-weight labs,” says a report in OpenRouter. The share of tokens used by American companies on Chinese AI models via OpenRouter—a platform allowing developers to access various AI systems—has consistently remained above 30% each week since February 8, peaking at a staggering 46%. This marks a dramatic shift from the previous 12 months, which saw an average usage of just 11%, and a meager 4.5% in the first half of 2025. This rise comes as American companies face mounting pressure to deliver internal efficiencies and deploy new AI-backed products, engineers are increasingly turning away from costly domestic alternatives. Chinese open-source and open-weight models have emerged as highly capable, budget-friendly options. “There are tremendous cost-savings opportunities moving workloads from frontier models, to open weight. Inevitably the frontier will move on, but costs will continue to drop for any fixed point of intelligence,” says the report.Unlike “closed” proprietary systems from U.S. giants like OpenAI, Anthropic, and Google, open-source and open-weight models allow developers to inspect, modify, and customize the software’s inner workings.“Chinese AI models are particularly attractive to American companies now as AI costs skyrocket,” Kyle Chan, a fellow at the Brookings Institution’s John L. Thornton China Center, told CNBC. “Where previously U.S. companies were prioritizing AI adoption regardless of model, now they’re getting more cost-conscious.”



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