AWS Drives Cloud Computing Growth with Shifting Enterprise Focus on AI Inference

Amazon's AWS CEO Matt Garman says that enterprise customers are shifting their focus from training large AI models to deploying them in real-world business scenarios. This growth is driving demand for AI inference, which involves using trained models to respond to user requests and execute practical applications.

Growth in AI inference is a key driver of cloud computing resource growth, according to Garman. He noted that while some companies still use large training clusters to train models, more enterprises are integrating AI inference into their business workloads as models become increasingly mature and capable.

AWS is currently securing demand assurance for future data center development through long-term agreements with customers. These agreements typically last five years and help the company meet growing customer needs. Garman emphasized that AWS remains confident in the long-term demand outlook for AI-related businesses, citing an 'extremely large' market size.

The announcement of increased capital expenditure forecast for 2026 from $200 billion to $220 billion reflects ongoing cost increases for memory chips and other critical hardware required for data center construction. This growth is fueled by strong enterprise demand, with AWS revenue growing 37% year-over-year in the second quarter, marking its fastest pace since late 2021.