AI-Powered Gift Selection: Shift in Consumer Trust and Shopping Behavior
Recent surveys highlight an accelerating shift in consumer attitudes and behavior regarding the use of generative AI in the gift-buying journey. According to multi-country research from Constructor and Shopify, one in five consumers now trusts AI gift picks more than those chosen by their partners, underscoring a growing faith in algorithmic product recommendations. This marks a significant change from previous years: in 2024, only 31% of shoppers considered using AI for gift buying, yet by 2025, that figure has surged to 63%, with 91% of those who have tried AI-powered selection ready to depend on it again (Coveo, 2025 Holiday Shopper Trends).
The adoption of generative AI within online shopping environments has reached explosive new levels. The State of Ecommerce 2025 report notes that 64% of consumers now use tools like ChatGPT regularly during their day-to-day activities—a twofold increase from 2023. As nearly 80% of shoppers express uncertainty when browsing retailer websites, 60% indicate that they are “definitely” or “probably” open to using AI-driven assistants while shopping (/blog/artificial-intelligence-for-business/). This trend is particularly marked among younger generations: Gen Z and Millennials show the highest rate of adoption, with 85–90% willing to employ AI as a shopping companion. In contrast, only 7% of Boomers prefer AI over human input for gift selection.
The Strategic Impact of AI on E-Commerce Operations
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NotPIM Expert Commentary: This surge in AI-driven gift selection highlights the critical need for robust and accurate product data within e-commerce. The article underscores the importance of rich product feeds and detailed cataloguing to ensure AI recommendations are reliable and relevant. NotPIM's platform addresses these needs directly by facilitating the conversion, enrichment, and organization of product data, allowing retailers to efficiently optimize their product catalogs for AI integration and improving the performance of their AI-driven recommendation engines. The trend suggests a strong future demand for scalable and automated data management solutions that can keep pace with the rapidly evolving, highly data-driven e-commerce landscape. To learn about the complexities of product data, consider how many products are listed in Europe. Our perspective on this is detailed in our report on 2.4B product listings in Europe.