In a remarkable demonstration of the transformative power of artificial intelligence, Amazon Web Services (AWS) has reported that its migration and modernization tool, AWS Transform, has saved an astonishing 700,000 hours of manual effort over the past year. This monumental achievement translates to approximately 335 developer years, underscoring the significant impact that AI-driven solutions can have on enterprise operations.
During Amazon’s third-quarter earnings call held on October 30, the company disclosed that AWS revenue surged to $33 billion, marking a 20% increase year-over-year. This growth represents the fastest rate in over two years, with projections estimating an annualized revenue of $132 billion. The surge in AWS’s financial performance is closely tied to the increasing adoption of its products and services for AI-related workloads, reflecting a broader trend among enterprises seeking to leverage cloud technologies for modernization and efficiency.
AWS Transform, which became generally available in May 2025, is designed to facilitate the modernization and migration of legacy workloads through the use of agentic AI. This innovative tool has proven invaluable for organizations looking to transition from outdated systems to more agile, cloud-based solutions. For instance, Thomson Reuters utilized AWS Transform to convert over 1.5 million lines of code each month, successfully migrating from Windows to open-source alternatives. This case exemplifies how AWS Transform not only accelerates the migration process but also enhances operational efficiency, allowing companies to complete tasks faster than with traditional migration tools.
The capabilities of AWS Transform extend beyond mere code migration. Customers have leveraged the tool to analyze an impressive 1 billion lines of mainframe code, facilitating the transition of critical applications to the cloud. This level of analysis and transformation is unprecedented, showcasing the potential of AI to streamline complex processes that were once labor-intensive and time-consuming.
In addition to AWS Transform, Amazon has introduced several other AI-powered tools that are reshaping the landscape of enterprise technology. One such tool is Kiro, an agentic coding assistant that has seen its user base double since its launch, surpassing 100,000 users within just a few days of its preview release. Kiro exemplifies the growing demand for intelligent coding solutions that can assist developers in writing, debugging, and optimizing code more efficiently.
Another noteworthy innovation is AgentCore, a platform that enables developers to deploy and scale AI agents across various applications. The response to AgentCore has been overwhelmingly positive, with over 1 million downloads of its software development kit (SDK). Companies like Cohere Health have already begun to realize tangible benefits from using AgentCore, deploying agents that can reduce medical review times by as much as 30% to 40%. Other notable users include industry giants such as Sony and Ericsson, who have successfully integrated AgentCore into their operations.
Amazon’s commitment to enhancing productivity through AI is further exemplified by the Quick Suite, a recently launched productivity suite that leverages AI to help businesses achieve remarkable efficiencies. Users of Quick Suite have reported over 80% time savings on complex tasks and more than 90% reductions in costs, transforming projects that previously took months into mere days. This consumer-grade AI experience empowers users to uncover insights, conduct deep research, automate workflows, visualize data, and take action seamlessly, thereby revolutionizing the way organizations operate.
On the infrastructure front, AWS has made significant strides in scaling its hardware capabilities to support the growing demand for cloud services. Over the past year, the company has added more than 3.8 gigawatts (GW) of power supply, outpacing all other cloud providers. To put this achievement into perspective, AWS’s current power capacity is now double what it was in 2022, with plans to double again by 2027. In the last quarter alone, AWS anticipates adding at least another 1 gigawatt of power, further solidifying its position as a leader in cloud infrastructure.
A key component of AWS’s hardware strategy is the Trainium2 chip family, which has experienced strong adoption rates. Demand for Trainium2 chips is fully subscribed, with revenue growing by an impressive 150% quarter over quarter, establishing it as a multibillion-dollar business. These chips are specifically designed for AI workloads, enabling organizations to harness the full potential of machine learning and artificial intelligence.
Amazon’s Project Rainier, an extensive online AI compute cluster spanning multiple U.S. data centers, now boasts nearly 500,000 Trainium2 chips. This robust infrastructure is being utilized by companies like Anthropic, which is leveraging the cluster to build and deploy its next-generation AI model cloud. Amazon expects this initiative to scale to over 1 million Trainium2 chips by the end of the year, further enhancing the capabilities available to enterprises seeking to innovate and expand their AI initiatives.
The momentum behind AWS’s offerings reflects a broader trend in the industry: enterprises are increasingly embracing AI to modernize their operations, automate processes, and accelerate their digital transformation journeys. As organizations recognize the value of AI-driven solutions, they are more inclined to invest in tools that enhance productivity, reduce costs, and improve overall efficiency.
The implications of these advancements are profound. By adopting AWS Transform and other AI-powered tools, businesses can significantly reduce the time and resources required for migration and modernization efforts. This not only leads to cost savings but also allows organizations to focus on strategic initiatives rather than getting bogged down by legacy systems and manual processes.
Moreover, the ability to analyze vast amounts of code and data quickly and accurately opens up new possibilities for innovation. Companies can now identify inefficiencies, optimize workflows, and make data-driven decisions with unprecedented speed and precision. This agility is essential in today’s fast-paced business environment, where the ability to adapt and respond to changing market conditions can be the difference between success and failure.
As AWS continues to innovate and expand its offerings, it is clear that the future of enterprise technology will be heavily influenced by AI and cloud computing. The combination of powerful tools like AWS Transform, Kiro, AgentCore, and Quick Suite, along with robust infrastructure capabilities, positions AWS as a frontrunner in the race to empower organizations with the tools they need to thrive in the digital age.
In conclusion, the achievements of AWS in the past year serve as a testament to the transformative potential of AI in the enterprise space. With tools that save hundreds of thousands of hours of manual effort, enable rapid migration and modernization, and enhance productivity, AWS is paving the way for a new era of technological advancement. As more organizations embrace these innovations, the landscape of enterprise technology will continue to evolve, driven by the relentless pursuit of efficiency, agility, and excellence. The journey toward a fully AI-enabled future is well underway, and AWS is at the forefront of this exciting transformation.