The shopping landscape is undergoing a seismic transformation as nearly 60 percent of consumers now use artificial intelligence to guide their purchasing decisions. According to recent Bloomreach surveys highlighted by Professor Luca Cian of the University of Virginia Darden School of Business, artificial intelligence is not just assisting but often superseding the role of personal networks, with nearly half of respondents trusting artificial intelligence more than friends for style advice. This rapid adoption reflects a broader trend where artificial intelligence is embedded as a decision-making ´copilot,´ streamlining comparisons, filtering choices, and adjusting recommendations for each user.
Professor Cian, a behavioral scientist specializing in marketing and technology, explains that artificial intelligence enables what he describes as ‘augmented decision-making’. Consumers are now offloading the overwhelming task of sorting through countless options, which compresses what was once a lengthy consideration and comparison process into swift, confidence-boosted choices. With 77% of users stating artificial intelligence helps them make faster decisions, the old marketing funnel is rendered obsolete. The influence of a brand must be established at the earliest stages of consideration, often before a traditional campaign would even have started.
Trust, however, is nuanced. While survey data indicate that people consider artificial intelligence a more objective advisor—attributed to its lack of human emotional bias—this trust wanes for decisions that carry deep personal or emotional weight. Artificial intelligence may be a welcome authority on fashion, but it is not yet poised to handle the most intimate consumer choices. From a marketing perspective, brands need to shift their strategies to appeal not only to consumers but also to artificial intelligence systems acting as recommendation gatekeepers. Marketers must understand contexts where artificial intelligence excels—such as practical purchases—while recognizing circumstances where human input prevails, especially for hedonic products. Over-reliance on automation can backfire if it eliminates clarity or erodes personal engagement. As artificial intelligence grows in personalization and proactivity, brands will be challenged not only to win consumer trust but also to navigate the algorithmic preferences of artificial intelligence itself, ensuring transparency, control, and genuine value for end users.
