Trust Bridges Matter: When agentic systems meet payment reality
- AI can decide, but consumers still hesitate to hand it their card details. Agentic commerce is still emerging, but the trust gap is already shaping how pilots are built and how much payment autonomy AI is given.
- We look at how these developments are unfolding and what they may foreshadow for the wider commerce ecosystem.
Agentic commerce, powered by AI agents that anticipate needs and act on a user’s behalf, is beginning to move from theory into practice. These agents promise to reshape commerce end-to-end, from discovery and negotiation through checkout and post-purchase workflows, potentially contributing trillions of dollars to global economic activity by the end of the decade, according to McKinsey. A key constraint, however, might already be at hand.
While AI systems are increasingly trusted to make decisions, they are not yet entirely trusted to share payment credentials directly. It may be early to talk definitively about agentic commerce systems, but this trust gap is already shaping how pilots are designed and how much autonomy is granted to AI in payments.
This article tracks those developments and the implications for commerce at large.
Orchestration moves faster than execution: Generative AI can generate content, surface recommendations, and simulate conversations. Yet the moment money changes hands, whether in checkout, authorization, or settlement, execution is constrained by consumer trust and the need for secure, regulated rails.
Recent PYMNTS data supports this trend: 33.5% of consumers prefer linking a digital wallet rather than allowing gen AI platforms direct access to card credentials or storing them directly.
This means trust in AI’s decision-making does not automatically extend to moving money – a challenge that emerging agentic commerce
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