Nearly three-quarters of consumers would trust a personal AI agent more than their closest friend to make shopping decisions, according to Accenture's 2026 Consumer Pulse Research. The findings, drawn from over 25,500 respondents across 16 countries, signal a profound shift in how people view algorithmic assistance in daily commerce.
This marks a departure from earlier consumer skepticism toward automated recommendations. The report suggests that repeated exposure to AI-powered tools in e-commerce, from personalized product suggestions to automated checkout, has normalized delegated decision-making. Accenture frames this as a trust evolution, not just convenience seeking.
The implications for retailers are significant. If shoppers are willing to offload purchasing choices to digital assistants, businesses must design their AI interactions accordingly. Transparency in how recommendations are generated becomes critical, as does ensuring the agent reflects the user's preferences rather than vendor priorities.
Yet the finding raises questions about consumer vulnerability. Entrusting an AI with purchase authority — especially for complex or high-stakes items — could backfire if the agent lacks context about the user's unique tastes or budget constraints. The survey did not specify what types of purchases respondents envisioned, leaving a gap between stated trust and actual behavior.
Accenture's methodology relied on self-reported sentiment rather than observed purchasing behavior. Attitudinal surveys can overstate willingness to adopt new technology. The sample, while large, may skew toward digitally native consumers who are already comfortable with algorithmic curation.