AI is not merely a new service; it is a fundamental re-engineering of the cloud consumption model. Microsoft and Google are sustaining 30-40% growth rates because every AI interaction in their software-as-a-service (SaaS) layers triggers a secondary layer of infrastructure revenue . For instance, AI services contributed 13 to 16 points of Azure’s total growth throughout 2025 . This “synergistic consumption” means that software usage directly fuels backend infrastructure demand, creating a flywheel effect that competitors find difficult to replicate.
Strategic advantage is increasingly shifting toward custom silicon designed to bypass the high costs of general-purpose GPUs. Amazon’s custom chips business, including Graviton and Trainium, has achieved an annual revenue run rate of over $10 billion, with Trainium units growing at triple-digit percentages. By designing its own processors, AWS can offer price-performance ratios that are 20-40% better than generic hardware, protecting its 35% operating margins even as competition intensifies.
While Microsoft and Google are vertically integrated with specific models (OpenAI and Gemini), AWS is positioning itself as the “neutral ground” via Amazon Bedrock. Bedrock has reached a multi-billion dollar annualized run rate, with customer spend up 60% quarter-over-quarter. This strategy allows AWS to capture revenue from a broad range of enterprise AI workloads regardless of which individual LLM wins the market, effectively becoming the “AI utility” for the entire industry.