Cloud computing is entering a new chapter, and the biggest shift is happening around AI platforms. For years, enterprises compared AWS, Microsoft, and Google based on compute, storage, databases, and global infrastructure. Now the conversation is changing. The real question is which cloud provider gives businesses the best foundation for building, deploying, governing, and scaling AI applications in the real world.

In this video, we are looking at that race through three specific products: Amazon Bedrock, Azure AI Foundry, and Google Vertex AI. These are not just feature bundles or branding exercises. They are becoming the control layers that enterprises use to access models, manage workflows, integrate data, and turn AI from experiments into production systems.

We are going to break down where each platform is strongest, what kind of enterprise buyer each one is really built for, and how their strategies differ. AWS is leaning into flexibility and model choice, Microsoft is focusing on enterprise control and workflow integration, and Google is pushing a tightly connected stack built around Vertex AI, Gemini, and infrastructure depth. By the end, you should have a clearer view of which platform fits which type of AI application and why for enterprise success today.