Amazon

AWS re:Invent 2026 is scheduled for November 30 through December 4 in Las Vegas, featuring cloud and AI announcements, keynotes and technical sessions.

Amazon's closing market capitalization was approximately $2.687 trillion, based on a $248.23 closing share price and 10,826,289,523 shares outstanding.

AWS made OpenAI's GPT-6 Astra generally available through Amazon Bedrock.

AWS expanded GovCloud Bedrock access to Amazon Nova, Anthropic Claude, Meta Llama, NVIDIA Nemotron, OpenAI and xAI Grok model families.

AWS added restricted access to OpenAI Daybreak Red and Daybreak Blue cybersecurity models.

Amazon reported $200.6 billion in quarterly net sales, $27.5 billion in operating income, and AWS quarterly sales of $42.2 billion.

AWS made OpenAI GPT-5.6 Sol, Terra and Luna generally available through Amazon Bedrock.

AWS introduced an AI-native security service for discovering, validating, prioritizing and remediating code vulnerabilities.

AWS introduced a governed knowledge graph for giving agents shared context across enterprise data.

AWS added continuously running autonomous agents, an activity feed and cross-source enterprise insight retrieval to Amazon Quick.

AWS launched a managed web-search tool that grounds agents in current cited information without customer-data egress.

AWS introduced fully managed enterprise retrieval capabilities that abstract RAG ingestion, indexing and retrieval infrastructure.

Pinterest committed $4 billion through 2031 for AWS infrastructure including Trainium and Graviton to power AI discovery.

AWS expanded Quick with a desktop application, Free and Plus plans, visual-asset generation and new integrations.

AWS announced a managed OpenAI-powered agent runtime integrated with Bedrock and AWS controls.

AWS and OpenAI expanded their partnership to offer OpenAI frontier models through Amazon Bedrock in limited preview.

Meta agreed to deploy tens of millions of AWS Graviton cores for CPU-intensive agentic AI workloads.

Anthropic committed more than $100 billion to AWS over ten years for up to five gigawatts of Trainium capacity; Amazon committed $5 billion immediately and up to $20 billion more.

AWS made automated response-quality, safety, task-completion and tool-use evaluation generally available.

AWS released developer tooling for building customized Nova-based frontier models.

AWS made centralized policy controls for agent-tool interactions generally available.

Amazon and OpenAI announced joint development of a stateful environment for long-running agents on Amazon Bedrock.

Amazon and OpenAI announced that next-generation Trainium4 is expected to begin delivery in 2027.

Amazon announced an initial $15 billion investment in OpenAI followed by up to $35 billion more under preset conditions.

AWS and NVIDIA announced infrastructure for deploying integrated AI factories in customers' own data centers.

AWS announced policy controls and automated evaluations for production AI agents.

AWS expanded Amazon Connect with production agentic AI for customer-service interactions.

AWS introduced a frontier agent for investigating and resolving cloud operational incidents.

AWS launched 3nm Trainium3-powered EC2 UltraServers for model training and inference.

AWS launched a service for organizations to create customized frontier models using Nova checkpoints and training infrastructure.

AWS released a unified embedding model for text, documents, images, video and audio.

AWS released its second-generation speech-to-speech foundation model.

AWS introduced a unified multimodal reasoning and image-generation model in preview.

AWS introduced its most intelligent Nova 2 model for complex multistep tasks in preview.

AWS released a fast multimodal reasoning model with extended thinking, built-in tools and a one-million-token context window.

AWS expanded Transform to modernize application, database and user-interface layers of Windows workloads.

AWS announced plans to invest up to $50 billion to expand AI and high-performance-computing infrastructure for US government customers.

AWS and OpenAI announced a seven-year strategic infrastructure agreement for OpenAI workloads using EC2 UltraServers and NVIDIA GPUs.

AWS brought online a large Trainium2 compute cluster in Indiana for Anthropic model training.

Amazon announced approximately 14,000 corporate job reductions while restructuring around fewer management layers and increased AI investment.

Amazon released a universal time-series foundation model for univariate, multivariate and covariate-informed forecasting.

AWS made the managed agent platform generally available across nine regions.

AWS launched the conversational agentic teammate at the center of Quick Suite.

AWS launched an agentic workspace combining research, business intelligence and workflow automation.

Amazon introduced real-time visual product recognition and matching in the shopping app.

AWS added OpenAI's gpt-oss-120b and gpt-oss-20b to Amazon Bedrock and SageMaker AI.

AWS introduced managed runtime, memory, identity, gateway, observability, browser and code-execution services for AI agents.

AWS introduced an agentic AI development environment centered on specifications and automated hooks.

AWS open-sourced a model-driven SDK for building AI agents.

AWS launched agentic AI services for modernizing .NET, VMware and mainframe workloads.

Amazon introduced a generative-AI model for coordinating robot fleets and improving fulfillment-center travel efficiency.

Amazon unveiled its first fulfillment robot with a sense of touch for handling items in densely packed storage.

AWS released its most capable first-generation Nova model with a one-million-token context window.

AWS released a unified speech-to-speech foundation model for low-latency conversational applications.

Amazon began testing an agentic AI feature that can purchase products from other brands' websites for customers.

Amazon released a browser-use foundation model through the Nova Act research preview.

Amazon introduced Nova Act, a model and SDK for building agents that reliably complete browser-based user-interface tasks.

Amazon introduced an AI shopping feature that continuously searches for new products matching natural-language interests.

AWS made its unified environment for data, analytics, machine learning and generative AI generally available.

Amazon announced a generative-AI version of Alexa with natural conversation, personalization and agentic task completion.

AWS introduced a marketplace for discovering and deploying specialized models through Bedrock.

AWS announced SageMaker Unified Studio as part of a unified data, analytics and AI development experience.

AWS introduced managed generative-AI extraction of structured insights from multimodal content.

AWS launched Trn2 instances and UltraServers for training and serving large foundation models.

AWS released its first Nova video-generation model.

AWS released its Nova image-generation and editing model.

AWS released a capable multimodal Nova model for enterprise and agentic workloads.

AWS released a low-cost multimodal Nova model through Amazon Bedrock.

AWS released the text-only low-latency Nova model through Amazon Bedrock.

Amazon released a faster and more memory-efficient zero-shot forecasting model family.

Amazon committed an additional $4 billion to Anthropic, bringing its total investment to $8 billion and naming AWS Anthropic's primary training partner.

Amazon introduced generative-AI shopping guides that summarize category information and organize product recommendations.

Amazon hired Covariant's founders and a portion of its team and received a non-exclusive license to its robotic foundation models.

Amazon updated its image model with image conditioning, subject consistency and background-removal capabilities.

AWS made its generative-AI clinical documentation service generally available.

Amazon broadly launched its generative-AI shopping assistant in the United States after an earlier beta.

AWS introduced a visual workflow builder for generative-AI applications.

AWS introduced prompt creation, versioning, testing and sharing capabilities.

Amazon hired Adept cofounder David Luan and members of the team while licensing Adept's agent technology.

Matt Garman succeeded Adam Selipsky as chief executive officer of Amazon Web Services.

Amazon released its second-generation multilingual text embedding model through Bedrock.

AWS folded Amazon CodeWhisperer into Amazon Q Developer while preserving its coding-assistance capabilities.

AWS made its software-development assistant generally available and incorporated CodeWhisperer capabilities.

AWS made its enterprise generative-AI assistant generally available.

AWS made configurable Bedrock safety controls generally available.

Amazon invested an additional $2.75 billion in Anthropic, completing the $4 billion commitment announced in 2023.

Amazon researchers released pretrained Chronos-T5 time-series foundation models and code.

Amazon released a text-to-image generation and editing model through Bedrock.

Amazon released a multimodal embedding model mapping text and images into a shared space.

AWS and NVIDIA expanded their partnership around GPU infrastructure, DGX Cloud, NVIDIA software and future AI supercomputing.

AWS announced its second-generation AI training accelerator with substantially higher performance.

AWS introduced resilient infrastructure for training large foundation models across thousands of accelerators.

AWS announced real-time generative-AI assistance for contact-center agents.

AWS announced configurable safeguards for foundation-model inputs and outputs.

AWS introduced an assistant for developing on AWS, troubleshooting and transforming application code.

AWS announced a new family of generative-AI assistants for work and software development.

AWS introduced an enterprise assistant that answers questions and completes tasks using company data.

AWS introduced automatic and human evaluation workflows for comparing foundation models.

AWS launched a free public playground for building shareable generative-AI applications with Amazon Bedrock.

Amazon released Titan Text Express for general text-generation workloads through Bedrock.

Amazon released its lower-cost Titan text-generation model through Bedrock.

AWS launched managed retrieval-augmented generation for grounding foundation models in private data.

AWS made Amazon Bedrock generally available with managed access to Amazon and third-party foundation models.

Amazon agreed to invest up to $4 billion in Anthropic, with AWS becoming Anthropic's primary cloud provider and Trainium and Inferentia used for model development.

AWS introduced managed agents that orchestrate foundation models, enterprise data and API actions.

AWS introduced a generative-AI service for transcribing clinical conversations and drafting preliminary clinical notes.

AWS launched Inferentia2-powered EC2 instances for large-scale generative-AI inference.

Amazon introduced its first text embedding foundation model through the Bedrock preview.

AWS made its generative-AI coding assistant generally available, including a free individual tier and reference tracking.

AWS announced a managed service for building generative-AI applications with foundation models from Amazon and third parties.

AWS introduced Amazon Titan, its family of text generation and embedding foundation models available through Bedrock.

Amazon introduced an AI and computer-vision system able to identify and handle individual products.

AWS launched Trainium-powered EC2 instances for high-performance deep-learning training.

Amazon researchers published a 20-billion-parameter multilingual sequence-to-sequence teacher model.

AWS introduced its generative-AI coding companion in preview.

Amazon unveiled its first fully autonomous mobile robot for safely operating around employees.

AWS introduced a no-code visual interface for generating machine-learning predictions.

AWS founder Andy Jassy succeeded Jeff Bezos as Amazon's chief executive officer.

AWS introduced a HIPAA-eligible health data lake using FHIR and machine learning.

AWS introduced tools for bias detection and model explainability.

AWS introduced machine-learning-based anomaly detection for business and operational metrics.

AWS introduced an end-to-end condition-monitoring system using sensors and machine learning.

AWS introduced predictive maintenance from industrial sensor data.

AWS introduced a computer-vision service for visual defect and anomaly detection.

AWS introduced an ML-powered service for detecting abnormal operational behavior and recommending remediation.

AWS introduced pretrained models and solution templates to accelerate machine-learning deployment.

AWS announced its first custom chip purpose-built for high-performance machine-learning training.

AWS and Facebook jointly released TorchServe, an open-source model-serving library for PyTorch.

AWS launched automated model building with full visibility into generated models and notebooks.

AWS launched a web-based integrated development environment for machine learning.

AWS introduced managed human-review workflows for machine-learning predictions.

AWS introduced an intelligent enterprise-search service using machine learning and natural-language queries.

AWS introduced ML-powered code review and performance recommendations.

AWS made Inferentia-powered EC2 instances generally available for machine-learning inference.

AWS introduced a generative-AI learning service and musical keyboard.

AWS released optimized Docker images for deep-learning training and inference.

AWS launched attachable fractional GPU acceleration for EC2 and SageMaker inference workloads.

AWS announced its first custom machine-learning inference chip.

AWS launched a reinforcement-learning education platform built around an autonomous scale race car.

AWS introduced document AI for extracting text, handwriting, forms and tables.

AWS introduced a managed forecasting service based on technology used in Amazon's retail operations.

AWS introduced a managed service for building individualized recommendations using technology derived from Amazon.com.

AWS introduced a managed data-labeling service combining human annotation with active learning.

AWS launched a HIPAA-eligible NLP service for extracting medical entities and relationships from text.

AWS introduced managed natural-language processing for entity, sentiment, language and topic extraction.

AWS introduced a managed neural machine-translation service.

AWS introduced a managed automatic speech-recognition service.

AWS introduced a programmable deep-learning-enabled video camera for edge computer-vision development.

AWS launched an end-to-end managed platform for building, training and deploying machine-learning models.

Amazon unveiled a checkout-free store using computer vision, sensor fusion and deep learning.

AWS introduced a managed text-to-speech service with natural-sounding voices.

AWS introduced the conversational AI service built from the speech recognition and language understanding technology behind Alexa.

AWS introduced managed image analysis for object, scene and face detection.

AWS selected MXNet as its preferred deep-learning framework and committed engineering investment to the open-source project.

Amazon open-sourced its Deep Scalable Sparse Tensor Network Engine for recommendation workloads.

Amazon opened Alexa to developers through the Alexa Skills Kit and Alexa Voice Service.

AWS launched its first managed machine-learning service for building predictive models from data in S3, Redshift and RDS.

Amazon agreed to acquire chip-design company Annapurna Labs, strengthening its ability to build custom silicon for AWS.

Amazon introduced the Alexa voice service with the first Echo smart speaker.

Amazon launched AWS with Amazon S3, establishing the cloud platform that later became the foundation for its AI infrastructure and managed AI services.

Amazon launched a marketplace for human intelligence tasks that became widely used for labeling and evaluating machine-learning data.

Amazon completed its initial public offering on Nasdaq under the ticker AMZN.

Jeff Bezos founded Amazon in Bellevue, Washington; the company later expanded from ecommerce into cloud computing, devices and artificial intelligence.