How OpenAI’s Agentic Protocol Disrupts Commerce

OpenAI’s Agentic Commerce Protocol (ACP) is redefining the future of online retail, and its ripple effects will reach every player in the commerce ecosystem. Here’s a closer look at these disruptions—framed for Horizon Commerce’s brand audience—based on Katie Kelly’s timely industry analysis featured in MediaPost.

ACP: The Engine Behind Seamless AI Shopping

OpenAI’s ACP introduces a new paradigm—one where AI agents can research, select, and instantly purchase goods and services on behalf of consumers. Today, ACP pilots with platforms like Shopify and Etsy allow shoppers to delegate the entire buying process to a ChatGPT agent, making transactions painless and lightning-fast. But this is just the start: soon, AI-driven agents will manage far more complex purchases, from travel bookings and local experiences to everyday errands—no manual checkout required.

What Does This Mean for Brand Websites?

Brand-owned digital experiences aren’t going away, but their purpose is shifting. Rather than being transaction centers, websites will become immersive digital storefronts: storytelling hubs for engaging new customers, building trust, and generating crucial first-party data. ACP and similar protocols move transactional flows into AI-native environments, making brand content, context, and supply chain data critical inputs to these new commerce engines.

Why Retailers Must Take Notice

The rapid mainstreaming of ACP is good for manufacturers and service providers, but traditional retailers—especially those dependent on marketplace dominance—face unprecedented risks. In a world where AI agents control discovery, pricing, comparison, and checkout, retailers risk becoming invisible suppliers unless they adapt. Even giants like Amazon confront existential threats, as consumers may bypass traditional search and shop directly through AI platforms.

Data Dilemma: Opportunity and Risk for Merchants

Merchants who join ACP get major exposure to new customer streams, but at a price: they must share granular data—products, inventory, pricing, customer behaviors—that fuels both transactions and AI model training. Over time, this data could empower AI platforms to produce competitive alternatives or private label offerings at scale. The lesson from Amazon’s playbook is clear: the risks of disintermediation are now multiplied by AI’s reach.

Consumer Experience: Frictionless, But at What Cost?

Consumers can expect unprecedented convenience and personalization; AI handles everything from hotel bookings to supplement re-orders. The trade-off, however, is privacy. ACP-enabled agents collect deep intent and behavioral data, raising the stakes for transparency and consumer control over their own information.

The Dawn of an AI-Controlled Marketplace

As agentic commerce evolves, control becomes the big battleground. Brands seek to maintain relationships and loyalty, while AI platforms pursue ownership of discovery, transaction, and retention. The journey is rapidly becoming AI-first, not website-first—a fundamental shift that demands retailers and merchants rethink their strategies to remain visible and relevant.

Final Thoughts for Horizon Commerce Partners

OpenAI’s ACP is just the beginning. Every stakeholder—retailers, brands, merchants, and consumers—will need to navigate new opportunities, challenges, and risks as AI redefines how we shop for products, experiences, and services. Now is the time to invest in differentiated digital storytelling, robust first-party data strategies, and forward-thinking partnerships to stay ahead in this era of agentic commerce.

For further industry insights from Katie Kelly and Horizon Commerce, stay tuned to our blog—where we break down game-changing trends and what they mean for your brand’s future.