Anna

The rise of autonomous mobility has moved from lab prototypes to commercial services that carry passengers every day. This transition reflects broader shifts in China’s artificial intelligence, where systems are moving from experimentation to real-world deployment. Pony AI has emerged as one of the leaders in this transformation. The company, founded by James Peng in

China’s retail and logistics landscape has entered a phase in which infrastructure, not interfaces, defines competitive advantage across the ecosystem. The companies that win are the ones that control fulfillment, delivery, and inventory as a unified system.  JD Logistics sits at the center of this shift. This reflects a broader shift in how China builds

AI video is no longer a marketing experiment. In 2026, it’s becoming an operational layer — used for product education, e-commerce conversion, internal enablement, multilingual campaigns, and executive communication. What started as flashy generative demos is now embedding itself into workflows. And China is accelerating this shift faster than most Western markets. The reason isn’t

ERNIE 4.5 AI is Baidu’s flagship foundation model for enterprise deployment inside China. Baidu ERNIE 4.5 is embedded across search, cloud, and industry platforms, giving it distribution strength and regulatory alignment advantages in the domestic market. Leaders evaluating ERNIE 4.5 AI should assess it as an integrated enterprise system rather than a standalone large language

DeepSeek Nvidia is not a news cycle topic. It is a capacity question that determines which Chinese AI labs can train frontier models in 2025 and which cannot. Compute access inside China now sits at the intersection of export controls, cloud allocation rules, and software lock-in. That intersection shapes architecture choices, training timelines, and unit