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

by News Editor

March 26, 2025

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.

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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.

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CSE Reports March Market Shares As Argus Tops With 30.83%

by THEFUTURE.TEAM

April 7, 2026

Overview

Cyprus Stock Exchange (CSE) reported €31.50 million in share transactions for March 2026, including €11.24 million in pre-agreed trades. Data also cover the first quarter, with total transactions reaching €86.06 million across January to March.

Detailed Market Analysis

CSE provides market share calculations both including and excluding pre-agreed transactions. March figures incorporate these trades, while separate data sets highlight activity without them. Such differentiation reflects varying trading dynamics and offers a clearer view of market structure. Bond values are excluded from percentage calculations.

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Quarterly Performance Metrics

Figures for the January–March period show how market shares shift depending on the calculation methodology. Year-to-date data provide a broader perspective on member activity across the exchange. Inclusion or exclusion of pre-agreed transactions affects comparative positioning. These metrics are used to assess overall performance trends.

Key Participant Performance

Argus Stockbrokers Ltd recorded a 30.83% market share in March, with transactions totaling €9.71 million, placing it first for the month. CISCO Ltd held a 24.54% share in March and ranked first for the quarter with 26.19%. Mega Equity Financial Services Ltd followed with 18.31% in March and 24.08% across the quarter. Additional participants included Eurobank EFG Equities with 8.04% and Atlantic Securities Ltd with 7.46%, contributing to overall market activity.

Aggregate Trading Volumes

Pre-agreed transactions accounted for €11.24 million of March’s total turnover. Overall trading value reached €86.06 million for the first quarter. These figures reflect both negotiated and regular market activity, providing a fuller picture of trading volumes.

Conclusion

CSE data outline the distribution of market shares and transaction volumes across members. Distinctions between pre-agreed and regular trades highlight differences in activity patterns. Reported figures provide a basis for evaluating market structure and participant performance.

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