Taipei: The rise of agentic artificial intelligence (AI) is creating a new computing architecture that will reshape everything from personal computers to robots and data centers, Nvidia Corp. founder and CEO Jensen Huang said Tuesday. Speaking to international media in Taipei a day after delivering the opening keynote at Nvidia GTC Taipei, Huang described AI agents -- systems capable of reasoning, using tools and carrying out tasks autonomously -- as a fundamental shift in how computing systems are designed and operated. According to Focus Taiwan, Huang emphasized that this new computing pattern, which he termed as "agent," represents a significant departure from traditional software systems. Unlike conventional software that follows predefined instructions, agentic AI systems have the ability to understand context, reason through problems, access memory, and utilize external tools to complete tasks. Huang explained that the underlying architecture of agentic AI could be applied across a wide array of syste ms, ranging from cloud-based AI services and enterprise servers to self-driving vehicles, humanoid robots, and personal computers. He noted that every edge device will eventually become autonomous, integrating agentic systems, thereby transforming personal computers, self-driving cars, and telecommunications infrastructure. The transformation of the world's installed base of PCs is particularly crucial in the AI era, Huang stated, marking it as a new beginning and a new line of computers that function as assistants rather than mere tools. An example of this is RTX Spark, an AI-focused PC platform developed through collaborations involving Nvidia, Taiwan-based MediaTek Inc., and Microsoft Corp. This system, introduced during Monday's keynote, is powered by Nvidia's N1X chip and is designed to run AI agents locally instead of relying solely on cloud services. Huang also envisioned a future where many households could operate AI agents on dedicated local systems, akin to owning home theater equipment today. He explained that future computers will perform tasks autonomously even when not actively used by humans, operating within a broader distributed computing model that includes local devices, home servers, and cloud infrastructure. Looking ahead, Huang sees the agentic architecture extending beyond PCs to autonomous vehicles, industrial machines, and robots. The next major wave of AI development, he suggested, will likely be "physical AI," where reasoning-based AI systems operate in real-world environments and perform physical tasks, with self-driving vehicles and humanoid robots as prominent examples.