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At an all-hands, Andy Jassy said he expects AI to help AWS reach $600B in annual sales by 2036, double his prior estimate; AWS had revenue of $128.7B in 2025

Reuters Greg Bensinger

Context & Ripple Effects

AWS's AI growth case has been building from Amazon's earlier framing of generative AI as a potential technology transformation on the scale of cloud computing and its plan to lift 2025 capital spending to $100 billion, largely for AI. The new sales ambition makes that infrastructure commitment part of a much longer AWS revenue thesis.

The projection is consequential because it sets a markedly higher internal benchmark from AWS's reported 2025 revenue base, tying the cloud unit's next phase more explicitly to AI demand rather than conventional cloud migration alone.

First-order effects

  • AWS gains a higher long-range operating and investment benchmark, with AI positioned as the principal driver of the gap between its 2025 revenue and Jassy's 2036 expectation.
  • Amazon's prior AI-led capex increase receives a clearer commercial rationale: infrastructure spending is being framed against a larger prospective AWS revenue pool.

Second-order effects

  • Rival cloud platforms face added pressure to demonstrate that their own AI infrastructure and services can translate into durable revenue growth, not just model access or capacity build-outs.
  • Enterprise buyers may see AWS place greater emphasis on selling AI workloads and related cloud consumption, which could make AI adoption a more central part of cloud procurement discussions.

Third-order effects

  • If AWS can convert AI demand into sustained cloud consumption, the market would further shift from a cloud-migration story toward an AI infrastructure commercialization cycle, where capacity, chips, and managed services are increasingly sold as an integrated stack.
  • The scale of the target also raises the stakes for whether AI revenue ultimately supports the heavy infrastructure outlays; that outcome remains dependent on customer usage becoming durable enough to absorb the added capacity.

The trend: This is one data point in the AI infrastructure supercycle, as hyperscalers recast long-term cloud growth around monetizing AI workloads.