A month with Alexa+: Amazon's smart assistant fails

A Month with Alexa+: Why Amazon's Smart Assistant Turned Out Not So Smart

Amazon has long promised that voice technology would transform how we interact with home devices. When the company introduced Alexa+ as a next-generation assistant built on powerful language models, expectations were high. Reality proved far more mundane. After a month of daily use with the Echo Show 15 running Alexa+ in the kitchen, it became clear: Amazon's flagship product falls far short of the bar set by today's competitors.

Context is crucial here. The voice AI assistant market is undergoing acute transformation. ChatGPT from OpenAI and Gemini from Google have already accustomed users to meaningful, contextual responses, to the ability to maintain conversational thread and work with multi-step queries. Against this backdrop, Amazon placed its bet on Alexa+ as an answer to a new era of conversational AI. The company positioned the product as deeply integrated into daily life—an assistant that understands not just commands, but intentions. Marketing materials promised smooth, natural dialogue. A month in the kitchen revealed a vast gap between promise and delivery.

Problems began almost immediately. Alexa+ demonstrates a consistent inability to maintain context within a single conversation. If you ask a clarifying question after an initial request, the assistant often loses the thread and responds as if the previous exchange never happened at all. Simple household scenarios—timers with explanations, recipe questions with follow-ups, smart home control through command chains—became tests of patience. Intention recognition errors occurred with such regularity that trust in the device quickly evaporated. The paradox is that the kitchen itself—the environment for which the Echo Show 15 was designed first and foremost—exposed the product's weaknesses most harshly.

The technical root of the problem, apparently, lies in how Amazon integrated the language model into Alexa's existing architecture. Classical Alexa was built as a set of skills—rigidly structured, pre-defined scenarios. Layering generative AI capable of free dialogue on top of this system is significantly harder than building such an assistant from scratch. Companies like OpenAI and Google built their solutions around a language model as the core, whereas Amazon, it seems, is attempting to adapt the old paradigm to new requirements. This structural contradiction manifests itself in every awkward response and every lost thread of context.

The consequences for Amazon extend far beyond a single product. For decades, Alexa has been the company's main trump card in smart home—an ecosystem of devices, millions of users, deep integration with services. If Alexa+ cannot handle basic tasks, the entire infrastructure is at risk. Users who once switched to the voice interface of ChatGPT or Gemini and experienced a fundamentally different experience are unlikely to want to return to an assistant that regularly gets confused. Especially since Apple is actively developing Siri with ChatGPT integration, and Google is embedding Gemini directly into Android. Amazon risks ending up behind in a race it once led.

For the average consumer, the Alexa+ story is primarily a story of inflated expectations. When a company makes bold claims at product launch and then fails to deliver on promises, trust is undermined for a long time. The Echo Show 15 remains a functional device: the screen is convenient, basic commands work, integration with Amazon services hasn't gone anywhere. But Alexa+ as a symbol of a new generation of AI is, for now, more of a marketing claim than reality.

Amazon has the resources to fix the situation. The company has invested billions in Anthropic and has access to cutting-edge language models. The question is not about capabilities, but about execution and priorities. Until Alexa+ learns to maintain context, understand intentions, and capably handle everyday queries, it will remain a reminder of how difficult it is to catch up with leaders in an era when the bar of user expectations has risen to a fundamentally new height.