Agentic AI refers to a class of artificial intelligence systems designed to act autonomously toward defined goals, making decisions, initiating actions, and adapting behavior based on changing conditions and feedback. Unlike traditional AI models that primarily respond to direct inputs with outputs, agentic AI systems operate with a degree of independence, often orchestrating multiple steps, tools, or processes to achieve an objective over time. The term has gained prominence alongside advances in large language models, automation frameworks, and multi-agent systems, where software entities increasingly resemble goal-driven actors rather than passive tools.

Something subtle but important is happening in the global AI landscape, and you could almost miss it if you only focus on the usual headlines about chips, models, and hyperscalers. At NVIDIA GTC 2026, Taiwan showed up not just as the world’s manufacturing backbone, but as an increasingly confident architect of full-stack AI systems. A delegation of 16 high-growth startups, organized through Startup Island TAIWAN’s Silicon Valley Hub with backing from the National Development Council, didn’t just exhibit—they embedded themselves into the ecosystem in a way that signals a shift in strategy.