Jensen Huang expects AI infrastructure spending to hit $4 trillion by 2030, with NVIDIA maintaining a 70% annual revenue growth target as demand continues to outpace supply.
NVIDIA is positioned as the primary beneficiary of a projected $3-4 trillion AI infrastructure boom by 2030, driven by the end of Moore's Law and surging demand for accelerated computing. CEO Jensen Huang confirmed the company is targeting 70% annual revenue growth, leveraging its dominant position in hardware-software co-design and strategic partnerships with regional cloud providers to mitigate supply chain bottlenecks.
NVIDIA leverages its scale, long-standing supplier relationships, and a broad route to market to manage constraints in packaging, memory, and power components.
Physical AI refers to autonomous systems that can reason and interpret environments, such as self-driving vehicles, warehouse robots, and logistics systems.
NVIDIA CEO Jensen Huang forecasts global AI infrastructure spending to reach $3 trillion to $4 trillion by 2030, driven by generative AI demand and the end of Moore's law. Despite supply chain bottlenecks, NVIDIA targets 70% annual revenue growth as it expands capacity across chips, networking, and data center power systems.
Huang attributes the demand to the emergence of generative AI as a new computing layer and the end of Moore's law, which necessitates more complex hardware and software co-design to achieve performance gains.