The AWS Summit New York 2025 marked a pivotal moment in the development and deployment of AI agents. Amazon introduced groundbreaking innovations that are set to reshape the AI landscape for businesses across industries. Among the key highlights were the launch of Amazon Bedrock AgentCore, new AI agent tools in AWS Marketplace, and a $100 million investment to propel the future of generative AI. These advancements will make it easier for organizations to create, scale, and manage AI agents securely, efficiently, and with the highest standards of governance.
The announcements from the summit have the potential to radically accelerate how businesses build and deploy AI-powered solutions, ensuring that AI agents can operate at enterprise scale and address complex challenges across various sectors.
Amazon Bedrock AgentCore - Empowering enterprises to scale AI agent development
At the heart of the new AWS innovations is Amazon Bedrock AgentCore, a complete suite of services designed to support organizations in developing and scaling AI agents securely. As AI agents become a fundamental part of enterprise technology stacks, the ability to manage them effectively at scale is critical. This is where AgentCore comes in, offering businesses the tools they need to move from prototype to production with ease.
Key features of Amazon Bedrock AgentCore
- AgentCore Runtime: This service provides the infrastructure needed to support real-time interactions and complex workloads with low latency. Unlike traditional systems, AgentCore Runtime offers the ability to manage asynchronous workloads for up to eight hours, setting a new industry standard for session longevity.
- AgentCore Memory: Just like humans, AI agents need both short-term and long-term memory to perform effectively. AgentCore Memory offers state-of-the-art memory management that enables AI agents to operate with context awareness and long-term memory accuracy, ensuring agents are always aligned with their tasks and goals.
- AgentCore Identity: For AI agents to perform their tasks securely and autonomously, they must interact with various systems and services. AgentCore Identity provides secure authentication for agents, integrating with existing identity providers such as Amazon Cognito, Microsoft Entra ID, and Okta to ensure that agents have seamless access to the right resources.
- AgentCore Gateway: AI agents need access to a range of tools and services to function properly. AgentCore Gateway enables secure interactions between AI agents and external tools, transforming APIs, Lambda functions, and other services into agent-compatible solutions.
- AgentCore Code Interpreter: AI agents are often tasked with executing code to perform complex calculations, process data, or generate insights. AgentCore Code Interpreter allows agents to operate in secure sandbox environments, giving developers the flexibility to configure environments to meet their security and operational needs.
- AgentCore Browser Tool: AI agents can now use AgentCore Browser Tool, a model-agnostic, secure, cloud-based browser designed to enable agents to interact with websites, completing tasks like form submissions and navigating digital spaces at scale.
- AgentCore Observability: With the need for transparency in AI operations, AgentCore Observability provides real-time visibility into the performance and metrics of AI agents. Powered by Amazon CloudWatch, this tool enables businesses to track and trace every action an agent takes, allowing developers to monitor agent behavior in production environments.
These tools together form a robust and scalable foundation for deploying AI agents across various business functions, enabling faster, more efficient AI-powered workflows.
New AI agents and tools in AWS Marketplace for streamlining adoption
Alongside AgentCore, AWS introduced a new category within the AWS Marketplace: AI Agents and Tools. This new category aims to simplify the deployment of AI agents by providing businesses with ready-to-integrate, pre-built solutions from leading providers. With this streamlined marketplace, customers can quickly find and deploy the AI agents and tools they need to jumpstart their AI initiatives.
The AI Agents and Tools Marketplace enables organizations to purchase and integrate AI solutions from trusted developers, accelerating the adoption process and reducing time-to-value. Businesses can now leverage professional services to not only purchase but also maintain and scale their AI agents, helping them achieve their AI goals faster.
$100 million investment to boost generative AI development
To further bolster its commitment to advancing generative AI, AWS announced a $100 million investment into the AWS Generative AI Innovation Center. This funding is designed to accelerate the development of AI technologies that are capable of transforming entire industries, enabling businesses to tap into the power of AI agents for everything from customer service automation to predictive analytics.
Over the past two years, the Generative AI Innovation Center has already helped thousands of businesses across various industries. Companies like Warner Bros. Discovery, BMW, and Syngenta have used Amazon Bedrock and other AWS services to create AI solutions that are not only more efficient but also more intelligent, driving productivity and customer satisfaction.
With this new investment, AWS plans to expand the resources available through the center, providing customers with access to top AI scientists, engineers, and strategists to help solve their most complex AI challenges. This investment ensures that businesses across the globe will have the support they need to build the next generation of AI-powered systems.
Customizing AI solutions with Amazon Nova and Amazon S3 Vectors
Customization plays a key role in developing AI agents that meet the specific needs of different industries. To address this need, AWS introduced enhanced customization capabilities for Amazon Nova, a suite of models available through Amazon SageMaker. This addition gives businesses the ability to tailor AI solutions to their exact requirements, offering more flexibility and accuracy in model deployment.
In addition, Amazon S3 Vectors was unveiled as a new solution to reduce the cost and complexity of storing large AI data sets. S3 Vectors supports vector data workloads that are common in AI tasks like semantic search and data mining. This solution is designed to provide customers with a cost-effective way to retain and query large volumes of vector data, streamlining AI development without compromising performance.
Kiro - Simplifying the AI development lifecycle
To further simplify the development of AI agents, AWS introduced Kiro, a new integrated development environment (IDE) designed specifically for AI developers. Kiro allows developers to collaborate directly with AI agents, creating a seamless workflow that takes the development process from prototype to production more efficiently.
With Kiro, developers can automate tasks such as testing, code generation, and documentation, enabling them to speed up the development process and focus more on innovation rather than the manual tasks associated with AI agent creation. This tool is set to be a game-changer for organizations looking to deploy AI agents at scale with greater ease.
Future-proofing AI with AWS AI League and developer resources
AWS is also focusing on ensuring that the next generation of developers is well-equipped to take full advantage of AI advancements. AWS AI League is a new initiative that allows developers to compete in gamified challenges, providing hands-on experience in AI model customization and fine-tuning. Winners can earn AWS credits and prizes, while gaining valuable skills to implement AI in their own organizations.
In addition to the AI League, AWS has introduced various resources aimed at helping businesses improve their AI development capabilities. Model Context Protocol (MCP) and new resources like Kiro IDE help developers create integrated systems where multiple AI agents can work together efficiently.
AI innovation at scale
The AWS Summit New York 2025 announcements underscore AWS’s ongoing leadership in AI development. With Amazon Bedrock AgentCore, enhanced AI agent tools in AWS Marketplace, and a major $100 million investment in AI innovation, AWS is providing businesses with the tools and resources they need to thrive in an AI-powered future.
As businesses continue to explore the potential of AI, these innovations will empower them to develop intelligent AI agents that automate tasks, improve decision-making, and drive meaningful outcomes across industries.
