AWS has had its fastest growth in 15 quarters, Amazon’s CEO reveals.
Enterprise customers continue to increase investment as cloud modernization and AI use cases show measurable returns, with generative AI demand now moving from experimentation into production.
By combining core cloud infrastructure, custom AI silicon, and enterprise-grade data and security capabilities, AWS is able to position itself at the center of this shift.
Andrew R. Jassy, CEO at Amazon, sees AI as the fastest-adopted technology Amazon has experienced, helping drive more customers to AWS.
“Starting with AWS, growth continued to accelerate, up 28% year over year, the fastest growth rate in 15 quarters, up $2 billion quarter over quarter, the largest Q4 to Q1 AWS revenue increase ever,” he explained.
“We have never seen a technology grow as rapidly as AI. Amazon is already a leader, and companies continue to choose AWS for AI.”
Fastest Growth in Nearly Four Years
Reporting its fastest growth in almost 4 years, AWS continues to see strong momentum from both core cloud demand and rapidly expanding adoption of AI.
As enterprises continue to migrate infrastructure and modernize applications in the cloud, this keeps baseline demand strong even as customers remain cost-aware and optimize spend.
At the same time, generative AI, its fastest-growing technology, is now scaling faster than it did in previous years, highlighting the significance of this new adoption wave.
With real production deployments now occurring across model training, inference, data platforms, and AI-enabled applications, AWS is seeing AI become a meaningful revenue driver at a pace that far outstrips the early trajectory of its core cloud business.
“To put our growth in perspective, three years after AWS launched, it had a $58 million revenue run rate,” Jassy continued.
“In the first three years of this AI wave, AWS’s AI revenue run rate is over $15 billion – nearly 260 times larger.”
As a result, durable core cloud demand and the surge in AI workloads are driving AWS’s strongest growth pace.
Full-Stack AI Gains Momentum in Q1
With its full stack now maturing quickly, these products combined are driving both new AI workload demand and improved efficiency across the rest of its cloud footprint, translating into measurable usage and spend.
Firstly, Amazon Bedrock customer spend grew 170% quarter over quarter, with the product having processed more tokens in Q1 than all prior years combined, and is now used by over 125,000 customers and nearly 80% of the Fortune 100.
AWS is positioning Bedrock as the primary entry point for enterprise generative AI, including its widening Bedrock’s lineup of frontier models and the recent addition of OpenAI’s GPT‑5.4 directly within the platform.
AWS has also previewed OpenAI-powered Bedrock managed agents, designed to make production-grade agentic applications easier to build, deploy, and operate.
Customer usage has also been increasingly agent-led, with products such as Strands, AgentCore, and Quro now helping AWS position agents as the new application layer for enterprise AI.
“Most of the value companies derive from AI will be through agents,” Jassy explained.
“AWS customers can build agents with their proprietary data in Strands, which has been downloaded more than 25 million times and saw 3x more downloads quarter over quarter.”
AgentCore is also being used to deploy agents as frequently as every 10 seconds, highlighting an enterprise customer’s ability to move quickly from experimentation to always-on, production-scale agentic deployments.
Furthermore, AWS saw strong customer results in several other products, with Transform having saved enterprise customers 1.56 million hours of manual migration and modernization effort.
Qwik also managed to grow new customers 4 times quarter-over-quarter, having launched a desktop app that can query tools like email, calendar, Slack, and local files to summarize, recommend, draft communications, and automate workflows via agents.
Ecosystem Partnerships Accelerate Enterprise AI
AWS’s partnerships are a key accelerant in enterprise AI adoption, combining model-provider alliances, silicon and infrastructure collaborations, and large enterprise deployments that reinforce AWS as the primary location for running production AI.
“These are some of the reasons even more customers are choosing AWS,” Jassy said.
“Just since last quarter’s call, we have announced new agreements with OpenAI, Anthropic, Meta, NVIDIA, Uber, U.S. Bank, Fox, Southwest Airlines, U.S. Army, Bloomberg, Cerebras, AT&T, Nokia, Fundamental, the National Geographic Society, PGA Tour, and many more.”
With Anthropic and OpenAI having made large multi-year training commitments that support AWS’s custom silicon momentum, including accelerating Trainium to $225Bn in revenue commitments and supporting the scale at which Bedrock runs most of its inference.
Another partnership, Meta, has meanwhile committed tens of millions of cores on Graviton to run CPU-intensive workloads behind agent-driven systems that create demand for broader cloud infrastructure.
As a result, these partnerships expand the model and tooling ecosystem available on AWS, pull large production workloads onto AWS infrastructure, and create a flywheel that enables partners to attract more customers, accelerating AWS’s revenue trajectory.
AWS Key Earnings Results
In its quarterly earnings report, Amazon highlighted broad-based momentum across the business, led by accelerating AWS performance and rapidly scaling AI adoption, alongside continued efficiency gains and disciplined investment priorities.
- Amazon’s Q1 results saw total revenue reach $181.5BN, up 17% year-over-year
- AWS revenue reached $37.6BN, a 28% year over year increase, and an increase of $2BN from the previous quarter
- AI services exceeded $15BN in annualized run-rate revenue in three years
- Operating income reached $23.9BN driven largely by accelerating AWS growth
