Imagine trusting an AI agent more than your best friend to make a purchase on your behalf. This surprising shift in consumer behavior is no longer science fiction but a present reality, according to Accenture’s latest 2026 Consumer Pulse Research. This extensive global survey reveals a significant willingness among consumers to delegate various shopping tasks to artificial intelligence, moving far beyond simple chatbots.
The research, which surveyed 25,590 consumers across 16 countries, found that a staggering 74% would trust a personal AI agent more than their closest friend to complete a purchase for them. This level of trust signals a profound transformation in how we might interact with brands and make purchasing decisions in the near future.
Beyond Chatbots: The Rise of AI Agents in Shopping
When we talk about an AI agent in this context, we’re not just referring to basic chatbots or search tools. Accenture defines an AI agent as sophisticated software capable of acting on a consumer’s behalf within a defined set of permissions. This includes a wide range of functions, from shopping and negotiating deals to resolving complaints, managing subscriptions, and even executing purchases.
The survey highlighted that consumers are most comfortable with AI agents handling routine, low-risk activities. A substantial 74% of respondents would readily allow an AI agent to manage tasks like negotiating deals, resolving service complaints, renewing subscriptions, and reordering products. This indicates a strong desire to offload repetitive or time-consuming chores.
However, this openness to delegation doesn’t mean consumers are ready to hand over every decision. While they embrace task execution, the research identifies different levels of delegation. These include basic task execution, delegated decision-making with user approval, and fully autonomous purchasing.
Where Consumers Draw the Line (and Why)
As tasks become more significant, consumer comfort with full AI autonomy decreases, yet still remains noteworthy. The report found that 32% of consumers would empower an AI agent to make a purchase decision within specified limits, such as budget or brand preferences. In these scenarios, the AI would select the best option, but the consumer would still review and approve the purchase before payment.
A smaller, yet still significant, segment of consumers is ready for even greater autonomy. 9% of respondents expressed willingness to allow an AI agent to initiate and complete purchases entirely without requiring final approval. Interestingly, the payment stage itself saw lower openness, with only 12% of consumers comfortable with agents making autonomous payment decisions.
Building this level of trust hinges on several crucial factors identified by the research. Consumers demand robust data safeguards, configurable permissions, and instant override options to maintain control. Furthermore, clear recourse mechanisms, a platform’s reputation, and perceived neutrality are all critical for fostering confidence in these powerful AI tools.
Consumers show greater comfort delegating tasks where effort is high and emotional stakes are lower, such as negotiation or post-purchase support. Conversely, they are more likely to retain control over choices linked to personal identity or enjoyment, like selecting a hotel for a vacation or choosing a new clothing item. While an AI might manage routine grocery restocking, highly personal decisions often remain firmly in human hands.
What This Means for Brands and Retailers
The rise of AI-assisted shopping presents both challenges and opportunities for brands and retailers. A primary takeaway is the urgent need for product information to be clear, structured, and machine-readable. AI agents will compare options based on pricing, availability, policies, and claims, making data quality paramount.
AI agents can meticulously compare brands using structured attributes, verified claims, price-to-value ratios, and fulfilment records. This means how brands present themselves across digital channels – search engines, marketplaces, and social platforms – will profoundly impact their discoverability and appeal to AI agents. In fact, 56% of all consumers would instruct their AI agent which brands to consider.
Brand loyalty also faces a new dynamic. Among behaviorally loyal consumers, 37% said they would allow an AI agent to switch brands if it found a better fit based on factors like price, availability, or service performance. This suggests that AI agents could drive a new era of brand agility, rewarding those that consistently offer optimal value and performance.
Consumers are also eager for AI agents that can seamlessly operate across multiple providers. A striking 61% want an agent capable of shopping across various grocery retailers, while 71% desire an agent that can plan and book an entire trip, integrating airlines, hotels, and activities. This demand for integrated, cross-platform functionality will push brands to offer easily accessible data and services.
The Future of Retail and AI-Powered Commerce
Looking ahead, the influence of generative AI on consumer spending is expected to be immense. An overwhelming 71% of consumers anticipate generative AI influencing at least half of their spending decisions over the next 12 months. This shift will empower AI agents to help consumers shop for their “idealised self,” guiding healthier choices, stricter budgeting, or more intentional upgrades.
Interestingly, among active generative AI users, 26% reported buying a more expensive item because AI increased their confidence in the decision. The same proportion saw an increase in their basket size, indicating AI’s potential to drive both value and volume for retailers. This suggests AI can act as a trusted advisor, leading to more considered and often larger purchases.
Even physical stores are not immune to AI’s impact. 87% of consumers believe AI will significantly affect the role of stores, with 31% specifically envisioning stores becoming more important for creating moments of enjoyment and experience. This points to a future where online AI-driven efficiency complements physical spaces designed for engagement and discovery.
Ultimately, the research paints a picture of selective automation in retail. Consumers are eager to delegate routine tasks and leverage AI for enhanced decision-making, while retaining control over purchases tied to personal preference or emotional value. Brands and retailers must adapt by providing clear, verifiable data and integrating seamlessly into this evolving, AI-assisted commerce landscape.
Source: AI News
