2026年美中AI市场竞争
Sou Hu Cai Jing·2026-01-25 15:12

Market Landscape - The global AI large model market is characterized by a clear "U.S. dominance and Chinese catch-up" pattern, with U.S. models accounting for 93% of global traffic as of August 2025. However, the launch of DeepSeek R1 in January 2025 led to a significant increase in Chinese model market share from 3% to 13%, with a 460% growth in traffic within two months [1][22]. U.S. Advantages - The U.S. maintains a strong competitive edge through a "technology-capital-ecosystem" triad. Companies like OpenAI and Google benefit from first-mover advantages, strong brand recognition, and user habits established since the generative AI revolution in late 2022. Despite projected losses of $50-80 billion for OpenAI in 2024, the venture capital ecosystem supports their growth strategies [2][22]. Chinese Strategy - China's competitive advantages lie in a "policy-cost-open-source" framework. Chinese model APIs are priced at 1/6 to 1/4 of their U.S. counterparts, with DeepSeek R1 costing $0.55 per million tokens compared to ChatGPT's $2. The Chinese government supports AI infrastructure as a public good, providing subsidies that enable companies to offer low-cost or free services [3][22]. Technological Race - Chinese models have made significant strides in multilingual support, with Qwen increasing from 26 to 119 languages. DeepSeek also supports 102 languages, effectively reducing the language barrier previously held by U.S. models. However, the U.S. still leads in foundational research and talent density, indicating that a qualitative leap from "catching up" to "surpassing" has not yet occurred [4][22]. Geopolitical Variables - Geopolitical factors are reshaping the AI market, with DeepSeek's growth showing a "South rising, North declining" trend. Market share increases of over 10% were noted in regions like the Middle East, Africa, and Latin America, where economic ties to China are strong. In contrast, U.S. allies showed less than 5% growth [5][22]. Future Variables - The future of the AI competition will hinge on three key variables: the ability to overcome performance bottlenecks, the sustainability of business models, and the construction of ecological lock-in effects. The current low switching costs present instability, and the ability to create real barriers through enterprise solutions will be crucial for maintaining market share [6][22].