Nvidia CEO Jensen Huang announced on Wednesday that agentic AI has entered a critical phase, shifting from theoretical potential to practical application. This development coincides with Nvidia’s explosive financial growth; the company reported $216 billion in annual revenue for fiscal 2026 – a staggering 65% increase – solidifying its dominance in the AI hardware market.
What is Agentic AI?
Huang frames Nvidia’s current role as an “AI infrastructure company” rather than simply a graphics card manufacturer, highlighting the company’s transformation. Agentic AI is distinct from conventional chatbots; while chatbots generate responses, agents take independent action. For example, an agent can autonomously plan and execute a task like booking a vacation, removing the need for constant human input.
This shift is not merely academic. Samsung recently dedicated significant time at a product launch event to showcasing its upcoming Galaxy S26 phones, emphasizing the “agentic AI experience” these devices will offer. The rapid industry adoption reinforces Huang’s claim that this inflection point only materialized within the last two to three months.
The Next Leap: Physical AI
Huang anticipates the next major AI evolution will be “physical AI” – the integration of artificial intelligence directly into physical machinery. This includes advanced robotics and self-driving vehicles. The momentum behind physical AI was already visible at CES earlier this year, where companies demonstrated robots performing a wide range of tasks, from household chores to industrial assembly.
The implications are clear: AI is no longer just software. It is becoming embedded in the physical world, poised to reshape industries and daily life.
This transition represents a fundamental shift in how AI is perceived and utilized. While early AI applications focused on processing data, agentic and physical AI promise automation and real-world impact at an unprecedented scale.
