Dan Knott

As I have with Tesla $TSLA and Intel $INTC, adding to Investing highlights: My Investment Thesis for Microsoft $MSFT 1. Strong Moat in Corporate Software: - Market Dominance: Microsoft holds a significant position in corporate software with products like Microsoft 365, which includes Office, Teams, and SharePoint. These tools are deeply integrated into business operations globally, creating a formidable barrier to entry for competitors. - Subscription Model: The shift to subscription-based models with Microsoft 365 ensures recurring revenue, enhancing financial stability and predictability. In FY 2024, Microsoft reported that Office Commercial products and cloud services revenue increased by 13%. - Ecosystem Lock-in: Businesses often find it more cost-effective and less disruptive to remain within Microsoft's ecosystem, where integration across various services (from Windows to Azure) is seamless. 2. Cloud Services - Azure: - Growth Trajectory: Azure continues to show robust growth, often outpacing competitors like AWS in certain quarters, with AI contributing significantly to its expansion. Azure's revenue grew by 31% year-over-year in Q4 FY 2024. - Infrastructure Advantage: Microsoft’s extensive data center network and global presence provide a solid foundation for cloud services, making Azure a preferred choice for multinational corporations. - Service Diversification: Azure offers not just basic infrastructure but also platform and software services, appealing to a wide range of business needs, from startups to large enterprises. 3. Hyperscaler Ability: - Scalability: Microsoft has demonstrated the capacity to scale its services rapidly, handling increased demand from AI workloads and enterprise migrations to the cloud. - Capacity Expansion: Continuous investment in data center expansion and technology infrastructure ensures that Microsoft can meet future demand, securing its position as a leading hyperscaler. 4. Investments in AI: - OpenAI Partnership: Microsoft's strategic investment in OpenAI has positioned it at the forefront of AI innovation. Azure AI services, powered by OpenAI's models, are seeing significant adoption. - AI Integration: AI is being woven into nearly every Microsoft product, enhancing productivity (e.g., Microsoft 365 Copilot) and creating new revenue streams through AI-as-a-service models. - Innovation Pipeline: With ongoing research and development, Microsoft is likely to lead in AI applications, from natural language processing to autonomous systems. 5. Robotics - Investment in Figure Robotics: - Future Potential: Microsoft’s investment in Figure Robotics indicates a move towards integrating AI with physical automation, potentially expanding into new markets like manufacturing or logistics where robotics can play a pivotal role. - Synergy with Azure: Combining robotics with cloud computing can lead to innovations in IoT, edge computing, and autonomous operations, further enhancing Microsoft's tech stack. 6. Quantum Computing Initiatives: - Research Leadership: Microsoft is actively developing quantum computing capabilities with initiatives like Azure Quantum, aiming to solve complex problems beyond classical computing's reach. - Strategic Alliances: Partnerships with leading quantum research institutions suggest Microsoft is well-positioned to capitalize on quantum technology once it becomes commercially viable, potentially revolutionizing sectors like cryptography, material science, and drug discovery. Millionaire Maker Thesis: Microsoft is not just leveraging its current strengths but also strategically positioning itself for future technological revolutions. This combination of established market power and forward-thinking investments could make Microsoft stock a significant wealth creator over the next decade.

$INTC CEO says demand for its server CPUs is strong because CPUs are increasingly important for inference and orchestration, and he believes the company is competitively positioned thanks to architectural improvements, advanced packaging, foundry capabilities, and a broader XPU strategy that includes GPUs and accelerators to support diverse AI workloads. "So first of all, I think the feedback from the customer. CPU is very important when they move from training to inference. The inference side, I think in terms of orchestration, control plan and also managing all the different agent with data, CPU is much more efficient. So I think the ratio of CPU to GPU used to be 1 and 8, and now it's 1 to 4 on and I think towards priority or even better. So I think that demand is very strong. And then secondly, I think address your issue question. I think clearly, we are kind of continue to refine our road map in terms of, at the end of the day, it's the best product win. We have a lot of changes in terms of the CPU architecture change to focus on optimize for the different workload. And then the other part is, I think we have a very big advantage. We're not just at the CPU. We have advanced packaging and foundry, we can really effectively driving some of the changes more quickly to serve the customer in terms of their different workloads. So I think overall, I think it's an exciting time that we call it the XPU. Besides CPU, we are quietly building up the GPU with a new hire and also we are moving into the acceleration and so that we can serve the customer from the edge and then to the physical AI and then really drive some of the new initiatives to drive the competitiveness."

$INTC Sold puts and needless to say for a huge loss. This week has been catastrophic. Good luck everyone.