AWS will be a $1T business, Jassy says. But first, it will spend big.

AWS is doubling down on infrastructure spending, signaling a significant, near-term increase in cloud computing costs for enterprises focused on AI workloads.

Amazon CEO Andy Jassy reiterated his belief that Amazon Web Services (AWS) can become a trillion-dollar revenue business, stating it is currently on an $184 billion annualized revenue run rate. However, he also revealed that AWS will significantly ramp up capital expenditures to build the necessary infrastructure, projecting approximately $220 billion in cash capex for 2026, with the majority allocated to AWS, and expects to spend even more in 2027. This substantial investment is driven by the AI boom and a projected sustained growth rate of over 40% for AWS in 2027 and 2028, a forecast Jassy believes will fundamentally alter Amazon's revenue scale. Despite Jassy's confidence, investors expressed concern, leading to a roughly 6% drop in Amazon's shares in after-market trading following the earnings call.

Jassy's projection of over 40% AWS growth in 2027 and 2028, coupled with the $220 billion capex for 2026 (mostly for AWS), indicates an aggressive build-out aimed at capturing the unprecedented demand for AI infrastructure. This investment suggests AWS anticipates a prolonged AI boom, positioning itself to meet the escalating needs of enterprises for both core and AI-specific workloads. The company's strategy hinges on capitalizing on this "once in a lifetime opportunity" to solidify its market leadership and redefine its revenue trajectory.

This substantial expenditure by AWS, mirrored by similar investments from competitors like Microsoft, highlights a critical juncture for the cloud market. The focus on AI infrastructure implies a sustained period of high capital allocation and potentially elevated pricing for cloud services, impacting the total cost of ownership for businesses heavily reliant on AI. Enterprises should anticipate these increased costs and evaluate their cloud strategies to manage budget implications as the demand for advanced computing power continues to surge.