Descriptions:
The China Decode podcast from The Prof G Pod takes a deep look at the growing body of evidence that Huawei is mounting a credible challenge to Nvidia’s AI chip dominance — and that Nvidia itself is acknowledging the shift. Nvidia CEO Jensen Huang has publicly stated his company has “largely conceded” China’s AI chip market to Huawei, which has captured approximately 50% of Chinese AI chip demand in 2026. Morgan Stanley estimates the Chinese AI chip market at $21 billion this year, with projections reaching $67 billion by 2030 — making it one of the most consequential semiconductor battlegrounds in the world.
At the center of Huawei’s strategy is Kingbore, head of Huawei’s internal semiconductor unit since 2003 on a $400 million annual budget and now a viral figure in China. She has introduced what Huawei calls the “tower scaling law” — an alternative framework to Moore’s law that refocuses chip performance optimization on how fast data moves through a semiconductor, the efficiency of interconnect architecture, and memory system design, rather than continued transistor miniaturization. Analysts on the show discuss whether this approach can realistically position Huawei as a global competitor or primarily serves the domestic Chinese market.
The episode also covers escalating EU-China trade tensions, with a French-led coalition of five EU member states — France, Italy, Spain, the Netherlands, and Lithuania — urging Brussels to deploy stronger cross-sector tariffs ahead of the G7 summit in France on June 15. Analysts note that Germany’s deep economic ties to China create structural resistance to aggressive EU trade action, making meaningful defensive measures difficult to implement.
📺 Source: The Prof G Pod – Scott Galloway · Published June 02, 2026
🏷️ Format: News Analysis
