During Amazon’s third-quarter earnings call on October 30, the company announced that Amazon Web Services (AWS) revenue reached $33 billion.
This represents a 20% increase year-over-year. This marked the fastest growth rate in 11 quarters, estimating an annualised rate of $132 billion.
According to the company, these numbers are directly reflected in how its customers are increasingly using AWS’s products and services for AI-related workloads.
AWS’s migration and transformation tool called Transform has saved 700,000 hours of manual effort, equivalent to 335 developer years of work.
Made generally available in May 2025, AWS Transform helps enterprises accelerate the modernisation and migration of legacy workloads using agentic AI.
“For example, Thomson Reuters used it to transform 1.5 million lines of code per month, moving from Windows to open source alternatives and completing tasks or at times faster than with other migration tools,” said Amazon CEO Andy Jassy in the earnings call.
He also revealed that customers have already used Transform to analyse 1 billion lines of mainframe code while moving mainframe applications to the cloud.
Additionally, Jassy announced that the user base of Kiro, Amazon’s agentic coding tool, has doubled since launch, growing beyond the 100,000 users who signed up within the first few days of its preview release.
Besides, the company’s AgentCore platform, which allows developers to deploy and scale AI agents, has also provided tangible benefits to several enterprise organisations.
“Cohere Health is using AgentCore to deploy agents that will reduce medical review times by up to 30% to 40%. AgentCore’s SDK has already been downloaded over 1 million times, and our builders are excited about it. It’s an enabler,” said Jassy, also naming other customers such as Sony, aand Erricson who have successfully used the platform.
In addition, Amazon reported that business customers using its recently launched Quick Suite have achieved over 80% time savings on complex tasks, more than 90% cost reductions, and have turned projects that once took months into days.
Quick Suite delivers a consumer-grade AI experience in the workplace, helping users uncover insights, conduct deep research, automate workflows, visualise data, and take action seamlessly.
Amazon has continued to scale its hardware infrastructure supporting AWS, and has added more than 3.8 gigawatts (GW) of power supply in the last 12 months, ‘more than any cloud provider’.
“To put that into perspective, we’re now double the power capacity that AWS was in 2022, and we’re on track to double again by 2027. In the last quarter of this year alone, we expect to add at least another 1 gigawatt of power,” said Jassy.
Trainium2 has seen strong adoption, with demand fully subscribed and revenue growing 150% quarter over quarter, making it a multibillion-dollar business. The Trainium family of chips is are in-house hardware system built for AI-specific workloads.
Amazon’s Project Rainier, an extensive online AI compute cluster across multiple U.S. data centres, now includes nearly 500,000 Trainium2 chips.
Anthropic is currently using the cluster to build and deploy its next-generation AI model cloud, which Amazon expects will scale to over 1 million Trainium2 chips by the end of the year.
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