Consumers Place Growing Trust in AI Shopping Agents

According to Accenture's Consumer Pulse research, published June 3, 2026 and based on a survey of 25,590 consumers across 16 countries, 74% of respondents said they would trust a personal AI agent more than their best friend to make a purchase on their behalf. The report, "Talk to My AI Agent," finds 74% of consumers are willing to delegate routine commerce tasks such as negotiating deals, resolving complaints, reordering products, and managing subscription renewals to an AI agent. Accenture reports 32% of consumers would let an agent decide what to buy provided the consumer confirms payment, and 9% are open to fully autonomous purchases including payment. The research also reports 56% of respondents would instruct agents about preferred brands while 37% of behaviorally loyal consumers would accept an agent switching brands if it better meets needs, per Accenture.

Editorial analysis - technical context: Survey results highlight practical trust boundaries that map to current technical constraints and product design patterns. Payment confirmation remains a clear user-held control point, which aligns with common implementations that separate recommendation/selection pipelines from authorization flows. Low-stakes, repetitive transactions are the most likely early use cases for agentic workflows, a pattern consistent with staged deployment strategies seen in commerce-oriented automation tools. Adoption at scale will depend on reliable preference encoding, explainable recommendation signals, and integration with payment and identity systems.

Editorial analysis: For brands and e-commerce practitioners, the data underscores an emerging two-level decision ecosystem where value accrues both to the human-facing brand and to the agent-facing signals that guide automated choices. The report frames trust as the new baseline for agent adoption; Accenture's messaging argues that brands must demonstrate verifiable value to both people and their agents. Outside reporting in Forbes and TechRadar emphasizes that AI-mediated recommendations could erode pure name-recognition loyalty and shift competition toward measurable performance in agent evaluations.

Editorial analysis: Observers should track three indicators:

• •whether major retailers and marketplaces publish agent-facing APIs or schemas for preferences and trust signals
• •pilot deployments that move payment authorization from humans to delegated flows while preserving auditability
• •metrics from early agent-mediated purchases showing repeat usage and lift in lifetime value. Industry reporting also suggests monitoring generative-AI usage segments, since active gen-AI users were among those more likely to delegate discovery to agents

Accenture's large-scale survey provides a measured snapshot of consumer willingness to hand routine commerce tasks to AI agents, while also documenting clear boundaries and conditions for delegation. Editorial analysis: The pattern mirrors other technology adoption curves where predictable, low-risk tasks unlock broader automation once trust is established through repeated positive experiences.