Nvidia Just Moved AI From the Data Center to Your Laptop. Jensen Huang unveiled RTX Spark at Computex 2026: a superchip packing an ARM CPU, Blackwell GPU, and 128GB unified memory into a laptop form factor. It runs AI models up to 120 billion parameters locally, no cloud required. Microsoft Surface, Dell, HP, Lenovo, ASUS, and MSI are all building around it. Fall 2026 availability. NVDA was up 2% pre-market. Dell +1%. HP +4%. Intel fell 6%+. That last number is the most important one. Intel's drop isn't just a reaction to one chip announcement. It's the market pricing a structural shift: Nvidia is now competing in the $200B CPU market, not just GPUs. RTX Spark runs the same CUDA binaries as an H100. The same code that runs in a hyperscaler data center now runs on a laptop without recompilation. That's not a feature, that's a platform move. The broader context confirms the direction. Micron recently broke $1,000 on AI memory demand. Dell's AI server revenue is up 757% year-on-year. The infrastructure buildout that started in data centers is now visibly moving toward endpoints. AI PCs are the next phase of that same capex cycle, except this time the customer is a consumer, not a hyperscaler. The question is timing. AI PC adoption depends on software catching up to hardware, and on users actually changing how they interact with their machines. That's historically slow. The chips will be ready in fall 2026. Whether the use cases are compelling enough to drive upgrade cycles is a different bet. Bull case: endpoint AI compounds the data center story. Bear case: the narrative runs ahead of actual adoption, and Intel's loss becomes a sector correction. Where do you think AI PC adoption is in 12 months? Share your thoughts in the comments 👇 #NvidiaAIPCPush $NVDA $ANTHROPIC $OPENAI