Nvidia's shares fell 13% in early trading following Jensen Huang's resignation as chief executive, raising questions about the future of the world's second-most valuable company. Huang, who led the chipmaker through its rise to dominance in artificial intelligence, was considered the central figure in a vast web of relationships that underpin the global AI economy. Nvidia designs and sells graphics processing units (GPUs), the advanced chips that are fundamental to training and running AI models such as ChatGPT and Claude. While other major technology companies, including Microsoft, Meta and Google, are developing their own AI chips, Nvidia's position remains deeply entrenched through decades-long partnerships and complex financial arrangements that few other firms can replicate.
Huang's departure has thrust into sharp focus the opacity surrounding Nvidia's corporate dealings and supply chains. In 2025, Huang met with world leaders including Keir Starmer and Emmanuel Macron to promote the development of "sovereign AI" using Nvidia's products, leading to supply agreements such as one in which Nvidia apparently committed 260,000 advanced chips to South Korea. However, the terms, timing and payment arrangements for such deals were never made transparent. Beyond government contracts, Nvidia has financed a complex network of companies known as "neoclouds" that buy its chips to rent computing capacity to major AI firms, effectively managing demand while keeping associated risks off its own balance sheet.
The company has become deeply embedded throughout the AI economy, described as the "central bank of AI" because of its investments in startups that could become future customers and massive cash offers to firms like OpenAI for chip purchases. These arrangements, running to hundreds of billions of dollars, cycle repeatedly through a limited set of accounts. Central to Nvidia's dominance is its relationship with Taiwan Semiconductor Manufacturing Company (TSMC), which manufactures the overwhelming majority of advanced AI chips globally. TSMC has no real competitor in this field because chip manufacturing represents one of the most expensive and challenging industrial processes humanity has created, with only a 60% yield rate for its most advanced chips.
The relationship between Huang and TSMC's leadership, reportedly dating back to a personal letter of introduction written in 1997, exemplifies the high-trust partnerships Nvidia has built over decades that competitors cannot match. The murkiness of these arrangements became apparent through the case of Megaspeed, a Singapore-based company that obtained roughly £5.67bn worth of Nvidia chips even as others faced long waiting queues. One of Megaspeed's executives, Alice Huang, was revealed to be having an affair with Jensen Huang and was alleged to be a Chinese spy, suggesting the relationship may have facilitated access to cutting-edge technology that was allegedly smuggled into China.
For UK savers, borrowers, business owners and investors, Nvidia's instability raises questions about the reliability of companies foundational to artificial intelligence development and deployment. The departure of Huang could bring greater transparency to Nvidia's opaque contracts and supply chains, though it may also expose elaborate debt structures and informal agreements currently hidden within the company's relationships. Whether Nvidia can maintain its position as the irreplaceable centre of the AI economy without its founder remains uncertain, with broader implications for geopolitics, technology competition and the future direction of artificial intelligence development worldwide.