Agentic Commerce Adoption Accelerates

“`html

Agentic commerce adoption is accelerating, fueled by strategic partnerships and advancements in underlying protocols, even as challenges persist in B2B integration and platform control. Analysts forecasting AI-facilitated spend to reach nearly US$8 trillion by 2030 — nearly a quarter of all online sales.

This surge highlights a pivotal shift towards AI-driven, automated purchasing, demanding developers prioritize interoperability, robust security, and seamless integration with established platforms and emerging standards like the Universal Commerce Protocol (UCP) and Agent Payments Protocol (AP2).

Enterprise Scale Partnerships Emerge

Mirakl and J.P. Morgan Payments are collaborating to enable agentic commerce at enterprise scale through Mirakl Nexus. The partnership focuses on optimizing product catalogs for AI discovery, streamlining the process for AI agents to find and purchase goods on behalf of consumers.

The integration aims to provide a more efficient and secure payment experience for AI-driven transactions within the Mirakl ecosystem.

Protocol Development Gains Momentum

Ant International is working with Google on the Agent Payments Protocol (AP2) and Universal Commerce Protocol (UCP) to further support agentic commerce growth. These protocols are designed to standardize and secure AI-driven transactions across different platforms and industries.

The collaboration seeks to establish a common framework for agentic commerce, fostering greater interoperability and trust in AI-powered purchasing.

Platform Control and B2B Challenges

OpenAI is scaling back plans to allow direct product purchases within ChatGPT, opting instead to route transactions through third-party apps. This decision reflects the complexities of integrating agentic commerce directly into large language models and the need for specialized platforms.

Meanwhile, Logicbroker research reveals that 95.5% of organizations surveyed have already deployed at least one AI capability in ecommerce, highlighting the widespread adoption of AI in the sector, but also indicating the challenges of full agentic commerce implementation, particularly in complex B2B scenarios.

Background: Agentic commerce refers to AI-powered systems that can autonomously make purchasing decisions on behalf of consumers, from product discovery to checkout.