Commentary: Can Nvidia's AI moat survive without Jensen Huang?

Jensen Huang's abrupt departure marks the end of Nvidia's 'personal IP-driven' tech hegemony. With the CUDA ecosystem not yet fully decentralized, the loss of his visionary leadership creates a strategic vacuum in AI chip architecture evolution. In the short term, AMD and Intel will exploit this power transition window to capture enterprise clients by enhancing ROCm software stack compatibility. Supply chain partners, particularly in Taiwan, China, may reassess capacity allocation priorities due to prolonged decision-making chains, increasing delivery risks for Nvidia. Over the next 12-24 months, Nvidia faces a brutal transition from 'technical monopoly' to 'standardized competition.' If successors fail to establish a clear technical roadmap within six months, their moat will be eroded by open-source models and custom ASICs like Google TPU and AWS Trainium. This signals the AI compute market entering a multipolar game phase, where single-vendor dependency risks rise significantly, and the industry focus shifts from hardware performance races to software ecosystem stability.