$MSFT: Multifaceted AI Strategy Includes Local AI Each hyperscaler has a unique strategy. Microsoft has the strongest network of enterprise customers that are deeply intrenched. A large segment of these enterprise customers are in regulation heavy industries. A concern for alot of these regulation heavy enterprise customers is data control. Think banks, medical, military, government. With $MSFT providing their own line of Surface laptops with $NVDA RTX Spark GPUs and having MAI-Code-1.1-Flash an in house model, MSFT can full vertically integrate a fully localized coding harness: 1. Harness: Copilot 2. Model: MAI-Code-1.1-Flash 3. Inference Runtime: Windows ML + ONNX Runtime 4. Hardware: Surface Laptops with RTX Spark GPUs There will be people who point out limits to model performance but in many industry, data controls are very strict and management would rather hire more software engineers than allow something they don't fully understand like how OpenAI and Anthropic guarantees data security. Having interned at Sandia National Labs, I know there are some places where software engineers can barely access a quarter of the internet. These type of companies have traditionally been dominated by Microsoft and in their own industries have limited competition through regulation. Following rules is more important than innovation because there's enough regulation to prevent competitors from out innovating. Sounds dry but there's alot of money in these industries. Not saying that $MSFT doesn't do cutting edge AI infrastructure, they do. In fact they are the primary AI cloud for OpenAI. The fact is that $MSFT is a huge multifaceted business are slowly building a moat in all of their categories including regulation heavy enterprises. For AI Buildout investors, not all AI will run in the cloud and that's okay. I'm pointing out the full picture and can tell you that there are various industries that did not work in the Cloud for CPU compute and will not work in the cloud for GPU compute. Credits to @StockAnalystPro for pointing this out to me.