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Amazon AI

4 min readUpdated October 2026
Amazon AI
Type
AI business unit of Amazon / Amazon Web Services
Key products
Amazon Nova, Amazon Bedrock, Strands, Nova Act
Founded (AWS)
2006; AI services from 2016 onward
Headquarters
Seattle, Washington, USA
Notable holding
Major equity stake in Anthropic
Related
AWS, Alexa, Anthropic Claude
Amazon AI refers to Amazon's collection of artificial intelligence products and research, delivered primarily through Amazon Web Services (AWS). It encompasses Amazon's own Nova foundation model family, the Amazon Bedrock managed service for running third-party models, agentic tooling such as the Strands framework, and Amazon's multi-billion-dollar partnership with Anthropic.[1]

History

Amazon applied machine learning to product recommendations, search and logistics for two decades before the generative AI era, and launched AWS AI services — including speech and image APIs — from 2016. As generative AI accelerated, Amazon invested up to $4 billion in Anthropic, one of the largest single corporate bets on a model developer, gaining a privileged role as Anthropic's primary cloud and training-infrastructure partner.[2]

At its re:Invent conference in late 2024 Amazon introduced Amazon Nova, a family of text, image and video generation models positioned on price-performance. In 2025–2026 the portfolio was consolidated: reporting in July 2026 indicated Amazon was winding down most of its flagship Nova models — including the high-end Premier and Omni tiers, the Reel video model and the Canvas image model — while retaining Nova 2 Sonic and Nova 2 Lite as its core foundation models, Nova Forge for customer model building, and Nova Act for browser agents. In the same period Amazon's Strands Labs released the open-source Strands Decider 2B, a small model that judges whether a proposed agent action should proceed.[3][4]

Key Concepts and Technology

Amazon's AI strategy differs from rivals in two respects. First, through Amazon Bedrock, AWS offers a curated catalogue of models from Anthropic, Meta, Mistral, AI21 Labs and others alongside Amazon's own, so customers can switch models without changing infrastructure — Bedrock is the leading example of a model-agnostic serving platform. Second, Amazon's in-house models are tuned for cost and latency over benchmark leadership, targeting high-volume workloads such as contact-centre speech, search ranking and recommendation.[1]

The Strands agent SDK and Nova Act reflect Amazon's bet that AI value accrues less from a single frontier model than from reliable agentic workflows — software that plans, calls tools and verifies its own steps. Strands Decider's design, a 2-billion-parameter model whose only job is to approve or block another agent's action, exemplifies the emerging pattern of small, specialised guardrail models wrapping larger ones.[4]

Applications and Impact

Amazon's AI reaches consumers through Alexa and retail personalisation, and enterprises through AWS services for contact centres (Amazon Connect), document processing, contact-centre analytics and code generation. Bedrock has become a common enterprise entry point in regulated industries precisely because it avoids lock-in to one model vendor. Amazon's investment in Anthropic also makes AWS the de facto home for Claude workloads, giving the cloud a frontier-model drawcard without requiring Amazon to win model benchmarks itself.[2]

>See Also

🇲🇾Malaysian Context

🇲🇾 AWS operates infrastructure serving Malaysia directly, and in 2024 announced its Malaysia cloud region (AWS Asia Pacific (Malaysia)) in Greater Kuala Lumpur — part of AWS's multi-billion-dollar Malaysian investment, one of the largest foreign data-centre commitments in the country. For Malaysian businesses, Bedrock offers a PDPA-conscious route to generative AI: models can be invoked within AWS's Malaysian and regional infrastructure without building in-house ML capability, which suits the SME-heavy profile of the Malaysian economy. MDEC's AI adoption initiatives and the National AI Office's governance guidance both point Malaysian firms toward managed model platforms as a first step, and local system integrators increasingly build on Bedrock and Strands for regulated-sector deployments in banking and government.[5]

References

  1. ↑Amazon Web Services. Amazon Nova — generative foundation models. https://aws.amazon.com/nova/
  2. ↑Reuters. (2026). Amazon winds down most flagship AI models in strategy overhaul. https://www.reuters.com/business/retail-consumer/amazon-winds-down-most-flagship-ai-models-strategy-overhaul-business-insider-2026-07-28/
  3. ↑Business Insider. (2026). Amazon overhauls its AI strategy, phasing out most Nova models. https://www.businessinsider.com/amazon-overhauls-ai-strategy-phasing-out-most-nova-models-2026-7
  4. ↑VentureBeat. (2026). Amazon unveils Strands Decider 2B. https://venturebeat.com/
  5. ↑Amazon Web Services. AWS Asia Pacific (Malaysia) region. https://aws.amazon.com/about-aws/global-infrastructure/regional-product-services/