• The article suggests that Chinese AI companies are pursuing a different strategy from the US: instead of focusing on building the most powerful models, they prioritize “good enough,” low-cost, and widely used AI.
  • Cherie Shi of MiniMax notes that the metric of success is no longer technical benchmarks, but the number of actual daily active users.
  • Over the past year, Chinese AI has expanded rapidly in Southeast Asia and the Gulf region across businesses, governments, and individual users.
  • Singapore has selected Alibaba’s Qwen for a government-supported AI initiative.
  • A Malaysian real estate conglomerate is deploying a 20 billion USD smart city project with an AI research center supported by Chinese tech companies.
  • Saudi Arabia is collaborating with ByteDance and Huawei to apply AI to urban infrastructure.
  • JPMorgan notes that future competitive advantage will depend on prompts, tools, and sector-specific integration capabilities, rather than just the raw power of foundational models.
  • As AI costs escalate, many businesses are turning to Chinese models due to their token efficiency and lower costs.
  • A Chinese AI business leader stated that many customers only need about 80% of the capability of top US models if the cost is significantly lower.
  • Bright Data confirmed that an increasing number of clients are testing Chinese AI thanks to its price efficiency and token consumption rates.
  • Z.ai (Zhipu AI) compares US models to a Rolls-Royce and Chinese AI to a Mercedes: slightly inferior, but powerful enough and suited for the masses.
  • Zhipu stated that GLM currently has over 4 million registered users across 218 countries and aims to achieve capability equivalent to Fable 5 before the end of the year.
  • The Chinese government has invested hundreds of billions of dollars to support AI enterprises and drive international expansion through the “Digital Silk Road” initiative.
  • Following the US restrictions on access to Anthropic’s Claude models, many customers have begun to worry about the stability of US AI and are considering other options.
  • Alibaba urged Europe to diversify its AI supply sources instead of relying on a single provider.
  • Another advantage of Chinese AI is that the majority of models are released as open-source, allowing deployment in on-premises data centers, which suits organizations needing data control.
  • However, the article also shows that many businesses still choose Claude after OpenAI and Anthropic introduced advanced features like Skills, reflecting that a technological gap in the premium AI segment still persists.
  • 📌 Conclusion: The AI competition between the US and China is shifting from a race for model power to a race for market ubiquity. While the US focuses on developing the most advanced AI models, China is betting on low-cost, open-source, and easily deployable AI to expand its global market share. If this strategy succeeds, China will not only capture revenue but could also shape international AI standards, similar to how it previously developed its electric vehicle, solar energy, and rare earth processing industries.
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