#nvidia-gtc-2026

#nvidia-gtc-2026

gamers are probably going to feel left out since Nvidia seems to have decided renting cloud rigs to them is better than selling consumer hardware, small companies looking for AI chip compromises will be excited, and agentic AI is gonna be so hot that our Mann on the ground this week in San Jose isn't gonna need a jacket.

Generative AI is evolving into a foundational industrial layer that requires next-generation architectures, like Vera Rubin, to deliver measurable ROI. As Jensen Huang takes the stage in San Jose, the focus is shifting from training massive models to deploying agentic systems and physical robotics... from software hype to industrial execution.

Either way, I think the AI boom is alive and well, but with much of the short-term hype fading away, the big question is whether the long-term trajectory is still there and whether it makes sense for investors to hit the buy button now that the near-term is somewhat less hyped while the long-term is as exciting as ever.

Nvidia's investment portfolio operated as a modest initiative valued around $230 million two years ago, focusing on smaller companies and chip designers. By the end of 2025, however, the public equity portfolio alone had reached more than $13 billion, according to its 13F filing. This expansion stems directly from cash generated by Nvidia's core GPU sales, particularly in the data center segment, which have driven record revenue.

Nvidia is reportedly positioning itself to become the 'Android for robotics'. Arm, meanwhile, has created a fully-fledged business unit for 'Physical AI' alongside its other two divisions for cloud/AI and edge. The priority in both cases is clear: innovation is moving into the physical domain, with new pioneers for the next step in IT systems. The rhetoric, however, is jumping the gun a little.