AI Shopping Agents Put New Pressure on Payments Companies

Delegation is the name of the game for the next phase of digital commerce.

New PYMNTS Intelligence research in the April 2026 Payments Innovation Tracker® Series, a collaboration with Paymentology, finds 48% of consumers are at least somewhat interested in artificial intelligence agents doing their grocery shopping or planning their meals for them, while the same share would let an autonomous assistant manage their subscriptions, and 44% are somewhat interested in using the tech for buying gifts.

But as agentic AI systems evolve from passive advisors into active economic participants, a fundamental shift is revealing itself. Machines are beginning to transact on behalf of humans. And when artificial intelligence gets a wallet, the center of gravity in commerce moves decisively away from the checkout page toward an experience not shaped by better recommendations or more personalized ads, but by delegation.

The new battleground is not the moment of purchase. It is the infrastructure that governs how AI spends money. In such a world, the traditional markers of commerce such as browsing, comparing, checking out, and choosing shipping may quickly fade into the periphery. What remains instead could be a network of agentic AI systems that can coordinate economic activity on behalf of individuals.

Why the Payment Layer Is Becoming Agentic Commerce’s New Frontline

The transition from recommendation to execution may appear incremental, but it represents a structural break. Traditional eCommerce models rely on influencing human intent: surfacing the right product, at the right time, at the right price. AI-powered recommendation engines refined this process by compressing discovery into algorithmic prediction.

In this model, the human user becomes less of a decision-maker at the point of sale and more of a policy-setter upstream. Preferences are codified, spending limits are defined, and trust is extended to the system. The act of shopping becomes asynchronous, continuous and largely invisible.

The report’s findings reveal that, as AI agents take control of purchasing decisions, the payments layer emerges as the critical control point. This is where authorization happens, where rules are enforced, and where trust is negotiated between human, machine and merchant.

Card networks, issuing banks and FinTech platforms are rapidly repositioning themselves to capture this moment. Their goal is not merely to process transactions, but to define the frameworks through which artificial intelligence can transact safely and effectively.

Read the report: The Intelligent Spend Shift: How Card Platforms Can Prepare for Agentic Commerce

This involves more than enabling API-driven payments. It requires building systems that can interpret and enforce user intent at scale. For example, an AI agent might be authorized to reorder household essentials automatically, but not to make discretionary purchases above a certain threshold. It might prioritize vendors with specific sustainability credentials or avoid subscriptions that do not meet predefined criteria.

Embedding these rules into the payments infrastructure transforms it into a governance layer. The payment credential becomes a programmable instrument, capable of encoding policy, context and constraints.

This does not mean checkout disappears entirely. But for routine transactions, checkout may ultimately, in an agentic landscape, become a back-end process, invisible to the user and optimized for machine interaction.

This shift challenges longstanding assumptions about conversion optimization. Metrics like cart abandonment rates lose meaning when carts are no longer assembled by humans. Instead, the focus may move to machine-to-machine efficiency such as benchmarks around latency, reliability, compliance and interoperability.

The competition is not just about processing volume. It is about owning the interface between human intent and machine execution. After all, when AI gets a wallet, commerce does not simply become faster or more convenient. It becomes fundamentally restructured. The question is no longer how to win at checkout. It is how to become the system that checks out for everyone else.