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Reviewed and published by trentmaziarz, March 18, 2026. Discovered and drafted by our automated research pipeline.
Amazon rebuilt its Alexa voice assistant from the ground up with large language models, launching Alexa+ in February 2025 as a subscription-based AI assistant capable of multi-step task completion, smart home control, and natural conversational interactions across over 500 million Alexa-enabled devices.
Details
Announced in September 2023 and launched publicly in February 2025, Alexa+ replaced the previous rule-based Alexa architecture with a multi-LLM routing system using Amazon's Nova models and Anthropic's Claude. Unlike classic Alexa, which handled one request at a time, Alexa+ can string together multiple API calls to complete complex tasks — such as booking a restaurant, sending a text to a friend, and scheduling an Uber simultaneously. Priced at $19.99/month (free for Prime members), Alexa+ was described as "rebuilt from the ground up" with agentic capabilities that allow it to navigate websites and complete tasks on users' behalf. Amazon faced criticism for years of delays after originally demoing the feature in 2023.
Products affected
Amazon Echo devicesAlexa appFire TVcompatible third-party smart home devices
Sources & Evidence
Other practices by Amazon
Customer SvcAmazon's One Medical primary care service launched a Health AI assistant in January 2026 that provides 24/7 personalized health guidance, answers health questions, explains lab results, books appointments, and manages medications — drawing on each patient's actual medical records.Data AnalysisAmazon uses deep learning algorithms to generate demand forecasts for over 400 million products daily, predicting how much of each item to stock in which fulfillment centers — reducing excess inventory, preventing stockouts, and enabling faster delivery.ModerationAmazon uses machine learning and graph neural networks to run billions of daily scans of its marketplace — automatically detecting fraudulent seller accounts, counterfeit product listings, fake reviews, and other forms of abuse before they reach customers.
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