NVIDIA CEO Jensen Huang Elaborates on AI Agent Architecture at GTC Taipei 2026
NVIDIA CEO Jensen Huang detailed the AI Agent architecture at GTC Taipei 2026: large language models are responsible for thinking, reasoning, and planning, while an external orchestration engine (harness) acts as an operating system connection tool and manages memory.
The usage model for Agents will shift from "launching applications, clicking inputs" to "describing intent, AI automatically invoking tools to complete tasks." He demonstrated generating application code, particle animations, and 3D printed parts using natural language.
Huang emphasized that software companies will see better development in the Agent era, provided that software supports Agent invocation, and announced that the CUDA X library is fully open to Agents.
In market mechanisms, developers are accelerating the transition to Agent-compatible architectures, with funding shifting from traditional GUI software to tools and platforms that can be invoked by Agents. NVIDIA benefits from the expansion of the CUDA ecosystem, while traditional closed software faces pressure due to insufficient compatibility.
Source: Public Information
ABAB AI Insight
Jensen Huang has previously promoted the concept of Agents, and this speech continues NVIDIA's transition from a computing platform to an AI operating system, addressing the connection between models and external tools through the harness layer, and focusing on optimizing memory management to support long-term complex tasks.
On the capital front, NVIDIA is concentrating resources on the development of Agent Skills in the CUDA X library, motivated by making existing software assets more easily callable by Agents, thereby expanding the developer ecosystem and increasing CUDA usage, rather than replacing software companies.
Similar cases include the early API economy's impact on software integration and the current changes in developer workflows brought by tools like Cursor and Claude Code; current AI applications are at a critical transition from chat interactions to autonomous execution by Agents.
Essentially, this represents a technological substitution: human-computer interaction and software usage are shifting from manual human operations to intent-driven Agent actions, with the mechanism being the maturity of harness and tool invocation capabilities, allowing software to shift from human interface priority to Agent callable priority, thus providing platforms that support open interfaces with new pricing power and opportunities for ecosystem expansion.
ABAB News · Cognitive Law
Agents do not replace software; they enable software to be used a million times more.
Describing intent replaces clicking actions, fundamentally changing software entry points in the AI era.
Excellent software sells callable capabilities, while traditional software sells interfaces.