AWS built its dominance starting in 2006 with S3 and EC2 after Amazon commercialized its internal infrastructure. The company had already invested years in AI infrastructure through SageMaker, custom chips, and model hosting before the generative AI boom accelerated its pivot toward products like Bedrock, Kiro, and AgentCore. AWS now claims rapid revenue growth in Bedrock usage and is positioning AI agents and enterprise automation as the next phase of cloud computing.
The competitive stakes are clear: Microsoft Azure and Google Cloud are closing the gap in cloud market share, and AWS is betting that AI will determine the winner of the next decade. Attorneys should monitor how AWS's AI strategy affects cloud vendor lock-in, data residency obligations, and the terms under which enterprises access foundation models through cloud platforms. The shift toward agentic AI and automation also raises emerging questions about liability, compliance, and contractual responsibility when AI systems operate with minimal human oversight.