Agentic Commerce: When AI Starts Shopping for Us

Online shopping has already changed how people compare products, place orders, and receive recommendations. The next shift may be even more fundamental: AI systems that do not just assist consumers, but actively make purchasing decisions on their behalf. This development is often referred to as "agentic commerce". Instead of manually browsing websites, comparing offers, and filling shopping carts, consumers could increasingly rely on AI agents that understand their preferences, budgets, and priorities and then complete purchases automatically.

What's happening

The idea behind agentic commerce is simple but far-reaching. AI agents are evolving from conversational assistants into systems that can act autonomously across platforms and services. Rather than helping users search for products, these agents could handle the entire purchasing process themselves.

A recent report describes this as more than just another phase of e-commerce. It calls it a "rethinking of shopping itself", where traditional boundaries between platforms, services, and shopping experiences are replaced by highly personalized and frictionless interactions driven by user intent. Analysts also expect the economic impact to be substantial. According to projections cited in the report, agentic commerce could generate up to one trillion US dollars in orchestrated retail revenue in the United States alone by 2030, with global estimates reaching several trillion dollars.

The implications are not limited to large US technology companies. Discussions in Switzerland already show that this topic is becoming relevant for European markets as well. Swiss experts point out that many techniques online retailers have optimized for years may lose importance if AI agents become the main interface between customers and shops. Traditional methods such as improving website engagement, extending browsing time, reminding users about abandoned carts, or optimizing visual design may matter less when purchasing decisions are increasingly made by machines rather than humans.

At the same time, public openness toward AI-supported shopping is growing. A survey in Switzerland has indicated that nearly one in three consumers can already imagine delegating purchasing tasks to AI agents in the future.

Why this matters

Agentic commerce changes an important assumption of digital business: until now, companies have primarily designed online experiences for humans. In the future, they may also need to design them for AI systems.

This shift affects visibility, trust, and competition. If AI agents select products automatically, they may prioritize structured data, delivery reliability, sustainability information, verified quality signals, or price transparency over branding and visual presentation alone. Companies that rely heavily on emotional website experiences or impulse buying strategies may need to rethink their approach.

There is also a broader productivity dimension. Consumers may save considerable time if repetitive purchasing decisions become automated. Routine orders such as office supplies, household products, travel bookings, or subscription renewals could increasingly happen in the background with minimal user involvement.

However, this also introduces risks and new dependencies. Who controls the recommendation logic of these agents? Which products are prioritized and why? How transparent are these systems about pricing, advertising influence, or partnerships? If purchasing decisions are delegated to AI, trust becomes even more important.

For organizations, another challenge emerges: customer relationships may partially shift from direct interaction with humans toward interaction with algorithms. Businesses may no longer compete only for customer attention, but also for algorithmic preference.

How this impacts you

For executives and organizations, agentic commerce raises strategic questions about digital visibility and customer access. It may become necessary to rethink how products, services, and information are structured so that AI agents can interpret and compare them effectively. This is not only a marketing issue, but also a data and communication challenge.

For SMEs in Switzerland and Europe, the topic is particularly relevant because many companies are still in the process of digital transformation. The arrival of AI-driven purchasing could accelerate the need for clearer product information, interoperable systems, and trustworthy digital communication.

For consumers more broadly, convenience will likely increase, but so will the importance of understanding how these systems operate. Delegating decisions to AI can save time, but it also means giving systems influence over spending behavior, brand choices, personal preferences, and very sensitive information such as credit card access.

What to do next

Organizations do not need to react with urgency or hype, but they should start preparing for this shift realistically.

First, review how your products and services are represented digitally. AI agents depend on structured, reliable, and accessible information. Inconsistent or incomplete data may become a disadvantage.

Second, strengthen trust signals. Transparent pricing, verified reviews, sustainability information, delivery reliability, and clear communication are likely to become more important in AI-driven purchasing environments.

Third, invest in AI literacy inside the organization. Teams should understand not only what AI tools can do, but also how they may reshape customer interaction and market dynamics over the coming years.

Agentic commerce is still emerging, but the direction is becoming clearer: AI is moving from supporting shopping decisions toward actively executing them. The important question for organizations is no longer whether this trend will influence digital commerce, but how quickly businesses and consumers will adapt to it.

If this topic is relevant for your organization, learn more about our executive AI advisory and hands-on workshops to build internal capabilities