It’s 2025, and Amazon’s Generative AI Still Can’t Reliably Make a Cup of Coffee
In 2025, Amazon's generative AI assistant, Alexa Plus, is reportedly failing at simple smart home tasks like making coffee, raising critical questions about the real-world utility and reliability of advanced AI models.
The promise of a truly intelligent smart home is running into a frustratingly simple obstacle: a morning cup of coffee. According to a report from The Verge, a user's experience in December 2025 reveals that Amazon's new generative AI-powered assistant,Alexa Plus, is consistently failing to run a simple routine on a Bosch smart coffee machine. Ever since the 'upgrade', the AI offers a different excuse almost every time, turning a once-reliablesmart home into a source of daily frustration.
The Gap Between Promise and Performance
The potential forgenerative AI andLLMs to streamline the smart home has been a compelling narrative. The idea was simple: add more AIsmarts to eliminate complexity for the user. Yet, this real-world example suggests the opposite may be happening. A sophisticated new AIassistant is proving less reliable for a basic task than its simpler predecessor, raising questions about whether companies are prioritizing cutting-edge features over core functionality.
An Omen for the AI-Powered Home?
This isn't just about a malfunctioning appliance. It strikes at the heart of the trust required for AI to become truly integrated into our homes. The user's question, "I'm beginning to wonder if it ever will," as reported by The Verge, reflects a growing concern. If the most advanced consumer AI can't be trusted with a simple, low-stakes task, how can it be trusted with more critical home functions like security or energy management? The incident serves as a stark reminder that in the consumer tech space, reliability is the ultimate feature.
The industry's race to inject generative AI into every device is outpacing the development of practical, real-world reliability. This incident highlights a growing 'reliability gap' where the most powerful models fail at the simplest tasks. The next frontier for AI isn't just more power, but predictable, invisible performance.
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