Microsoft's Cloud and AI Surge Continues Despite Market Jitters

Microsoft’s financial results for the recent quarter reveal a robust performance in its cloud and AI sectors, weathering earlier market anxieties sparked by the emergence of AI competitors.

The company’s productivity and business segment achieved $29.4 billion in revenue for the quarter ending December 31, 2024. This represents a 14% increase, primarily fueled by a 16% surge in Microsoft 365 Commercial cloud services.

The intelligent cloud segment also saw significant growth, reaching $25.5 billion in revenue, a 19% increase. Server products and cloud services, particularly Azure, contributed to a 31% revenue growth.

The emergence of new AI models caused market fluctuations, impacting tech companies like Nvidia and Microsoft.

Microsoft is actively working to integrate open-source models into its ecosystem. The DeepSeek R1 model will be accessible on Copilot+ PCs powered by Snapdragon X chips, and developers can explore its optimized version on Azure AI & GitHub.

Overall, the tech giant reported a 12% year-over-year increase in total revenue, reaching $69.6 billion. The company’s operating income rose by 17% to $31.7 billion, while net income grew 10% to $24.1 billion.

Microsoft and OpenAI are currently investigating a new AI model amid concerns about potential unauthorized access to OpenAI’s technology through its API. The model has been recognized for its efficiency, reportedly developed using older Nvidia H100 GPUs with a relatively low budget.


Despite the emergence of competing AI models, Microsoft is reinforcing its market position through strategic integration of open-source technology, as highlighted by its collaboration with a new AI model. This integration offers developers new avenues for experimentation and deployment.

Accessing the AI Model on Azure AI and GitHub

Step 1: Navigate to the Azure AI platform.

Step 2: Authenticate your account.

Step 3: Search for the AI model within the Azure AI marketplace.

Step 4: Deploy the model to your Azure environment.

Step 5: Utilize the model’s API endpoints for integration into your applications.

Utilizing the AI Model on Copilot+ PCs

Step 1: Ensure your Copilot+ PC is equipped with Snapdragon X chips.

Step 2: Update your Copilot+ PC to the latest software version.

Step 3: Access the AI model through the Copilot+ interface.

Step 4: Experiment with the model’s capabilities within the Copilot+ environment.


Microsoft’s strong performance in cloud and AI demonstrates its resilience and adaptability in a rapidly evolving market.