Amazon CEO Says AI Will Double AWS Sales, Targeting $600 Billion by 2036

Amazon’s AI‑driven roadmap hinges on expanding its generative‑AI services, a strategy that Andy Jassy outlined during a quarterly earnings call in March. He told analysts that the company’s “AI‑first” approach will embed large‑language‑model capabilities across the AWS portfolio, from Bedrock to Sage‑Maker, and that these tools are already prompting “double‑digit growth” in enterprise spend (Reuters). Jassy said the acceleration is not merely additive; it reshapes the economics of cloud consumption, as customers shift from traditional compute to AI‑optimized instances and managed services that command higher margins.

The financial impact of that shift is reflected in AWS’s recent earnings, which beat Wall Street expectations on the back of a surge in AI‑related usage. TechCrunch reported that AWS’s revenue growth outpaced the broader market, driven largely by demand for GPU‑heavy instances and new AI‑specific offerings (TechCrunch). While the firm did not disclose the exact contribution of AI to the quarter’s topline, the pattern mirrors earlier reports that AI workloads now account for a growing share of AWS’s compute billings, a trend that analysts at Bloomberg have linked to the broader enterprise AI adoption curve.

Jassy’s revised projection—$600 billion in AWS revenue by 2036—effectively doubles the company’s prior forecast of $300 billion for the same horizon (Reuters). The revised target assumes that AI will become a core utility for a majority of AWS customers, driving both higher per‑customer spend and a broader customer base. To support that ambition, Amazon has committed to a multi‑year investment in custom silicon, data‑center capacity, and a global network of AI‑focused training programs, all aimed at reducing latency and cost for AI inference and training workloads.

The outlook, however, is not without risk. A petition signed by more than 1,000 Amazon workers, reported by Wired, warns that the company’s rapid AI rollout could strain internal resources and raise ethical concerns (Wired). Moreover, competitors such as Microsoft Azure and Google Cloud are accelerating their own AI roadmaps, intensifying the battle for enterprise mindshare. As Jassy emphasized, the “AI‑first” narrative must translate into tangible product differentiation and pricing power if AWS is to sustain the projected growth trajectory (Reuters).