What’s next for Nvidia, AI industry after Jensen Huang’s resignation? - The Hill

Jensen Huang's departure marks a critical inflection point, shifting Nvidia from an architecture-definer to a standardized giant. Technologically, while the CUDA moat remains deep, the absence of his visionary drive may slow the iteration of proprietary silicon and software stacks. This vacuum empowers upstream HBM suppliers and accelerates downstream cloud providers' pivot to RISC-V or custom ASICs to mitigate lock-in risks. In terms of compliance, geopolitical pressures will amplify supply chain decoupling costs due to strategic ambiguity, necessitating a restructuring of production capacity in Taiwan, China and Southeast Asia to hedge against uncertainty. Competitors like AMD and Intel will exploit this window to capture mid-tier developers via open-ecosystem alliances. Over the next 24 months, AI infrastructure investment will shift from a 'compute arms race' to efficiency and cost optimization. If Nvidia fails to establish a new technical narrative under new leadership, its valuation premium faces structural re-rating, signaling the industry's entry into a decentralized competitive paradigm.