Despite the rapid adoption of generative AI tools in daily life, online shopping experiences remain frustratingly generic, according to a new analysis. A growing number of consumers expect AI to act like a knowledgeable in-store associate, but many e-commerce platforms still overwhelm users with irrelevant results rather than offering curated, context-aware recommendations.
Data from Constructor and Shopify cited in the report shows that nearly two-thirds of people have used tools like ChatGPT in their daily lives, up from 29% in 2023. Among Gen Z, that figure climbs to 78%. This widespread comfort with AI is raising the bar for what shoppers expect from e-commerce interfaces, but the technology has yet to deliver consistently on that promise.
The core challenge lies in the gap between generative AI’s conversational abilities and its understanding of individual user context—such as budget, style preferences, or past purchase history. Instead of narrowing choices, search results often spiral into hundreds of irrelevant options, mirroring the very problem AI was supposed to solve.
For retailers, this represents both a risk and an opportunity. Companies that can bridge the context gap may gain a significant competitive edge, while those relying on generic AI chatbots risk alienating users accustomed to more intuitive, personalized interactions. The findings suggest that the next frontier for AI in commerce isn’t just better conversation, but smarter curation.
“People aren’t asking ‘Should AI be in my shopping experience?’ anymore,” the report notes, highlighting a shift from skepticism to expectation. The data underscores a growing urgency: as consumer habits evolve, the margin for mediocre AI-assisted shopping shrinks rapidly.