NVIDIA GTC 2026 Main Highlights and Their Impact on Stock Price

According to NVIDIA's official schedule, this year's conference has a very clear main theme: Agentic AI, Inference, Physical AI, AI Factories.
This indicates that Jensen Huang is unlikely to focus on just one or two new chips but aims to further define NVIDIA as the foundational infrastructure platform for the entire AI era.
He will probably emphasize three key points:
First, the inference platform, demonstrating that NVIDIA is strong not only on the training side but also intends to maintain dominance on the inference side;
Second, Agentic AI, highlighting that AI is moving from chat to task execution, which will lead to a more sustained demand for computing power;
Third, Physical AI and AI Factories, integrating robotics, industrial AI, simulation, and enterprise deployment into a unified narrative.
In simple terms, Jensen Huang's main message is not just "new cards are more powerful," but that AI is entering an era of inference and execution, and NVIDIA is already prepared to provide a complete ecosystem from chips and systems to software and real-world AI. NVIDIA is evolving from an AI chip leader to a provider of inference platforms, AI factory platforms, and infrastructure for real-world AI.
If you only focus on the stock price, pay attention to these three points:
1. Whether Blackwell delivery is smooth
2. Whether Rubin's timeline is clear and without delays
3. Whether inference business can continue to suppress ASIC/self-developed chip threats