AMAZON COM INCAMZN

Amazon launched serverless infrastructure for agentic AI that scales on demand.

“• Launched serverless infrastructure for agentic AI that scales on demand, including:”

Amazon OpenSearch Service adds purpose-built log analytics engine for agentic workloads.

“• Purpose-built log analytics engine for Amazon OpenSearch Service, designed to keep pace with the vast increase in logs being produced by agentic workloads. It delivers up to 4x better price performance compared to the existing general-purpose engine, up to 2x higher data ingestion on the same hardware, and up to 2x faster analytical queries, while retaining up to 3x more data at the same cost—enabling teams to retain and analyze more observability data without choosing between insight and budget.”

AWS invests $1B to create Forward Deployed Engineering team for co-developing and deploying agentic AI solutions with customers.

“• Announced an investment of $1 billion to create AWS Forward Deployed Engineering, a team of AI engineers embedded directly with customers to co-develop and deploy agentic AI solutions in days rather than months. Early customers include Allen Institute, Cox Automotive, the NBA, the NFL, Ricoh, and Southwest Airlines.”

Amazon integrates Rufus and Alexa+ into Alexa for Shopping agentic AI assistant with growing adoption.

“• Brought together Rufus and Alexa+ into Alexa for Shopping, an agentic AI shopping assistant that offers personalized recommendations, product comparisons, price history, and the ability to automate shopping through features like Price Alerts and Auto-Buy. Worldwide customer adoption and engagement accelerated in Q2, with active users close to doubling and interactions up over 5x year-over-year.”

Meta is an Amazon Bedrock customer deploying AWS Graviton for its agentic AI efforts.

“• Signed an agreement with Meta, already an Amazon Bedrock customer at scale, to deploy tens of millions of AWS Graviton cores to power CPU-intensive workloads behind its agentic AI efforts, including real-time reasoning, code generation, and multi-step agent workflows.”

Amazon launched Quick desktop app that creates and refines AI agents to perform work.

“• Announced the Amazon Quick desktop app, which can query email, calendar, Slack, local files, and several other applications to retrieve and summarize information, make recommendations, compose and send communications, and create agents that highlight or automatically do work. Users can keep refining their preferences and Quick’s advanced knowledge graph enables its AI agents to automatically learn from users’ interactions with others, becoming more personalized over time.”

Amazon launched AWS Agent Registry for discovering, sharing, and reusing AI agents.

“• AWS Agent Registry to help customers discover, share, and reuse AI agents, tools, and agent skills across an enterprise for secure, governed access to agents at scale.”

Amazon launched Amazon Bio Discovery agentic AI application for drug discovery.

“• Launched Amazon Bio Discovery, an agentic AI application designed to accelerate drug discovery by giving scientists access to biological foundation models, an AI agent for experimental designs, and integrated lab partners for testing, which Memorial Sloan Kettering Cancer Center used to compress antibody design for potential pediatric cancer therapies from months to weeks.”

Amazon launched Creative Agent for generating ad campaigns in multiple countries.

“• Launched Creative Agent, an agentic AI solution for advertisers in Canada, France, Germany, India, Italy, Spain, and the UK. Creative Agent acts as a virtual creative partner, helping advertisers research, brainstorm, and generate full-funnel ad campaigns from concept to completion using conversational guidance and Amazon’s retail data.”

AWS is the exclusive cloud provider for OpenAI Frontier to build, deploy, and manage AI agents.

“AWS will be the exclusive third-party cloud distribution provider for OpenAI Frontier, which enables organizations to build, deploy, and manage teams of AI agents”

Frontier enables organizations to build, deploy, and manage teams of AI agents across business systems.

“Frontier enables organizations to build, deploy, and manage teams of AI agents that operate across real business systems with shared context, built-in governance, and enterprise-grade”

Amazon Bedrock added models from multiple vendors enabling agentic workflows for customers.

“• Added 20+ fully-managed models on Amazon Bedrock, including from Amazon Nova as well as Anthropic, Google, OpenAI, NVIDIA, Qwen, Mistral AI, Stability AI, Cohere, MiniMax AI, and Moonshot AI—enabling customers to test and switch between models without rewriting code while accessing breakthrough capabilities in coding, reasoning, and agentic workflows.”

Amazon introduced Nova Act for building and managing reliable AI agents for UI workflows.

“• Introduced Nova Act for building and managing reliable AI agents for UI-based workflows.”

Amazon launched frontier agents to solve tasks autonomously over longer durations.

“• Launched a new class of AI agents, called frontier agents, to solve tasks more autonomously and over longer durations, including:”

Amazon announced new agentic capabilities in AWS Transform for code and application modernization.

“• Announced new agentic capabilities in AWS Transform to accelerate organization-wide code and application modernization across any code, API, framework, runtime, architecture, language, and even company-specific programming languages and frameworks. AWS Transform has also helped customers analyze 1.8 billion lines of mainframe code since launch.”

Amazon launched new agentic AI capabilities for its Amazon Connect contact center product.

“• Launched new agentic AI capabilities for Amazon Connect—an AI tool that enables contact centers to provide consistent, personalized customer experiences—including advanced speech models, agentic assistance, AI-powered recommendations, and AI agent observability. Connect is a $1 billion annualized revenue run rate business growing over 30%, and has an average of 20 million+ interactions happening on it each day.”

Amazon enhanced its Rufus agentic AI shopping assistant with new capabilities.

“• Made Rufus—Amazon’s agentic AI shopping assistant—smarter, more capable, and more helpful. Rufus can shop tens of millions of items in other online stores directly and make purchases on behalf of customers using its agentic Buy For Me feature. Rufus was used by 300 million+ customers and saw an even stronger response than anticipated, helping deliver nearly $12 billion in incremental annualized sales last year.”

Amazon expanded access to its Kiro agentic coding IDE with over 100,000 developers participating.

“• Expanded access to Kiro, an agentic coding integrated development environment that brings clarity through spec-driven development, with more than 100,000+ developers jumping in during the first days of preview and more than doubling since.”

Amazon launched Quick Suite agentic AI app that connects to data and apps as an AI teammate.

“• Launched Quick Suite agentic AI app that acts as an AI teammate – connecting to business data and apps, and letting employees interact with AI agents that can find insights, conduct research, and take actions across systems. Quick Suite helps turn month-long projects into days, get 80%+ time savings on complex tasks, and realize 90%+ cost savings.”

Amazon saw strong adoption of its Transform AI agent for AWS migrations saving 700,000 hours.

“• Saw strong adoption of Transform, an AI agent that makes it easy for customers to migrate to AWS. Transform has saved 700,000 hours of manual migration effort—equivalent of 335 developer years of work—year to date.”

Amazon launched shopping agent, DeepFleet for robots, Kiro agentic IDE, Strands, and Bedrock AgentCore.

““Our conviction that AI will change every customer experience is starting to play out as we’ve expanded Alexa+ to millions of customers, continue to see our shopping agent used by many millions of customers, launched AI models like DeepFleet that optimize productivity paths for our 1M+ robots, made it much easier for software developers to write code with Kiro (our new agentic IDE), launched Strands to make it easier to build AI agents, and released Bedrock AgentCore to enable agents to be operated securely and scalably,” said Andy Jassy, President and CEO, Amazon. “Our AI progress across the board continues to improve our customer experiences, speed of innovation, operational efficiency, and business growth, and I’m excited for what lies ahead.””

Amazon describes Kiro, an agentic IDE for software development.

“• Kiro, an agentic integrated development environment that transforms software development through innovations like spec-driven development, intelligent agent hooks, and a purpose-built interface for developer workflows.”

AWS Marketplace lists AI agents from multiple providers.

“• AI agents and tools in AWS Marketplace, with listings from leading providers including Anthropic, Accenture, PwC, Salesforce, and IBM, so customers can easily discover and deploy agents.”

Amazon S3 Vectors provides storage for AI agents and inference.

“• Amazon S3 Vectors, which delivers vector storage for AI agents, AI inference, and semantic search, reducing the cost of uploading, storing, and querying vectors by up to 90%.”

Amazon Nova Sonic is a speech-to-speech model for building voice-based AI applications and agents.

“• Amazon Nova Sonic: Speech-to-speech foundation model for developers to build human-like voice-based AI applications, such as customer service call automation, AI agents, and more (available in Amazon Bedrock).”

Amazon made general availability of AI agent in QuickSight for natural language data analysis.

“• General availability of the scenarios capability of Amazon Q in QuickSight, with an advanced AI agent to help customers leverage natural language to perform expert-level data analysis.”