China's Alibaba Group has unveiled new advancements in its artificial intelligence (AI) model and chip technologies, including what it claims is the most powerful AI chip currently available in China. This announcement comes amid growing concerns from U.S. AI leaders, such as Anthropic CEO Dario Amodei, who have warned that China's rapid AI development could pose a strategic challenge to the United States. These discussions are expected to be a key topic when Chinese President Xi Jinping visits Washington for a state meeting with U.S. President Donald Trump, where AI, trade, and tariffs are likely to be addressed. At its annual conference in Hangzhou, Alibaba introduced the Zhenwu V900 chip, which the company's CEO, Eddie Wu, described as the most powerful AI chip in China. The chip offers three times the performance of its predecessor, the Zhenwu M890, and is used in Alibaba's data centers to support its cloud computing services and those of its clients. Alibaba also announced plans to develop a next-generation AI model with five to 10 trillion parameters, a measure of the model's learning and processing power. The company's current flagship model, Qwen3.8-Max, has 2.4 trillion parameters, while a rival Chinese AI company, Moonshot, recently launched a model with 2.8 trillion parameters. Alibaba is expanding its data center infrastructure to meet the rapidly growing demand for AI computing. The company aims to achieve over 20 gigawatts of computing power by 2032, a significant increase compared to SpaceX's current capacity of about 1.4 gigawatts, with plans to reach 10 gigawatts by 2027. These advancements are part of China's broader push for technological self-reliance, despite U.S. export restrictions that have limited access to advanced AI chips and related technologies. Open-source Chinese AI models, which are often more affordable than those from U.S. companies, are gaining traction globally, including in the United States. CEO Eddie Wu emphasized that Alibaba is "mobilizing every resource" to meet the rising demand for AI services, although global supply chain challenges are currently slowing the company's ability to scale its infrastructure. Wu compared the growth of AI to the industrial revolution, predicting that machine intelligence will soon surpass human cognitive capacity. He noted that while current AI systems are not a replacement for human intelligence, they are on track to produce over 1,000 times more "thinking" than all of humanity combined, up from less than 3% currently.