Jensen Huang's departure from Nvidia following reports of an affair with a Chinese intelligence asset and an alleged extra-marital relationship with a senior colleague has wiped almost a trillion dollars off the chip designer's value since the scandal became public knowledge on 29 October. The company has appointed veteran board member Harvey C Jones as chairman and finance chief Colette Kress as interim chief executive in what are described as emergency moves to stabilise the business.
The implications extend far beyond Nvidia. Anthropic, a rival artificial intelligence company, has already seen hundreds of billions of dollars wiped from the value of its intended initial public offering. The Bank of England and the International Monetary Fund have both warned about inflated artificial intelligence valuations that are divorced from reality, yet such warnings were largely ignored as the sector experienced rapid recoveries each time stocks fell sharply. Volatility of this type has historically preceded market collapses.
Underlying concerns about the sector run deeper than Huang's personal conduct. Tech giants and their smaller rivals can no longer finance investment from cash flow and have accumulated three trillion dollars of debt in a rapid-fire period, according to analysts providing services to hedge funds and investors globally. As in the 2008 financial crisis, there is limited transparency about where risk lies, with special purpose vehicles established to move risk off published balance sheets in ways that spread leverage through the financial system.
For savers and investors in the UK, the implications depend on whether Huang's departure proves an isolated event or signals the start of a broader correction in artificial intelligence valuations that could affect portfolios exposed to technology stocks. Some observers note that Britain may benefit from a halo effect given its science and technology heritage, with the surprising strength of third-quarter growth, which reached 0.7 per cent, possibly driven partly by research and development, artificial intelligence adoption and infrastructure investment such as data centre construction.