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Amazon’s New AI Shopping And Healthcare Assistants: What You Need To Know

Amazon is stepping up its game in the realm of artificial intelligence by testing new AI-powered shopping and healthcare assistants. As the company pushes to embed generative AI across a broader range of its services, consumers and tech enthusiasts alike are watching closely.

Key Developments

  • Artificial intelligence has become a primary investment focus for Amazon, being utilized in e-commerce, cloud technologies, devices, and healthcare.
  • Amazon’s existing AI offerings include shopping chatbots, seller assistants, and AI-based shopping guides.
  • Recently, new features appeared on Amazon’s website and mobile app in beta mode. They are being tested with a limited group of users.

Learn more about AI trends in global industries.

Shopping and Healthcare Integration

Amazon’s Interests AI invites users to describe what they’re interested in using natural language, such as “coffee brewing gadgets” or “latest pickleball accessories.” The AI then curates suitable products based on user descriptions. Notably, this feature is separate from Amazon’s main search bar.

Experimentation extends into healthcare with Health AI, a chatbot designed to:

  • Answer wellness-related queries
  • Provide information on common health conditions and care options
  • Recommend healthcare products such as medications and accessories

Unlike Amazon’s shopping chatbot, Health AI offers detailed medical advice, marked as “Clinically Reviewed” when vetted by licensed U.S. medical professionals.

Health AI also directs users to Amazon’s online pharmacy and One Medical services, which Amazon acquired for $3.9 billion in 2022.

Future Prospects

Amazon’s blog post reveals plans to roll out Interests AI to all U.S. users in the coming months. CEO Andy Jassy has noted nearly 1,000 generative AI applications developed or in development by Amazon staff. Besides e-commerce solutions, AWS customers can access a business chatbot dubbed Q.

Uber CEO Redefines Corporate Innovation Through AI Empowerment

Uber’s Code-Driven Transformation

Uber CEO Dara Khosrowshahi says the company should be understood less as a ride-hailing platform and more as a large technology system built and maintained by engineers. Speaking on The Diary of a CEO podcast with Steven Bartlett, he described how software development remains central to Uber’s operations and long-term strategy.

Embracing AI As A Preparation Tool

Khosrowshahi explained that some internal teams use an AI tool informally referred to as “Dara AI” to simulate executive feedback during preparation meetings. The system allows teams to test presentations and refine arguments before final reviews. The approach reflects Uber’s broader focus on using AI to improve internal decision-making and workflow efficiency.

Engineering As The Architectural Backbone

According to Khosrowshahi, around 90% of Uber’s engineers are already using AI tools in their daily work, while roughly 30% are considered advanced users applying AI to redesign parts of the company’s infrastructure. The shift positions engineers not only as builders of existing systems but also as key drivers of future product and platform development.

Productivity Redefined

Khosrowshahi noted that AI adoption is significantly improving engineering productivity and accelerating development cycles. The company views these tools as a way to optimize processes rather than replace technical expertise.

Uber’s internal use of AI illustrates how large technology companies are integrating automation into core operations while reshaping how teams collaborate and ship products.

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