Agentic Commerce Shifts Power from Brands to Data Owners

The rise of "agentic commerce" is fundamentally altering how consumers discover and purchase products. By 2026, AI agents are increasingly taking on the role of product discovery, directly influencing purchasing decisions on behalf of users. This shift means that the traditional brand-to-consumer relationship, often mediated by marketing, is being replaced by an agent-to-brand interaction.

This development poses a direct risk to marketers' established pricing power and their ability to cultivate direct customer relationships. When an AI agent, rather than the consumer themselves, is performing the initial product search and evaluation, the brand's direct communication channels are bypassed. The agent prioritizes factors like price, availability, and user preferences, potentially reducing the impact of brand equity and traditional advertising.

The core mechanism of agentic commerce involves sophisticated AI systems that learn individual user preferences, search histories, and purchasing behaviors. These agents then proactively identify and recommend products, or even execute purchases, often without the user explicitly navigating brand websites or engaging with brand campaigns. This redefines the "moment of truth" in consumer journeys, moving it from a brand's owned media to the agent's algorithmic decision-making.

While the term "agentic commerce" is relatively new, the underlying principle of algorithmic mediation in shopping has precedents in personalized recommendation engines and retail media networks (RMNs). What distinguishes agentic commerce is the increased autonomy of the AI, making decisions not just *for* but *on behalf of* the user. This elevates the importance of data ownership, as the entity controlling the most comprehensive user data will likely dictate the agent's recommendations.

The primary risk for brands lies in becoming commoditized. If an AI agent's selection criteria are purely functional or price-driven, brands that have invested heavily in intangible value – brand story, emotional connection, unique experiences – may find their differentiation eroded.

marketers risk losing pricing power and customer relationships unless they own the underlying data.

This emphasizes that control over proprietary first-party data, detailing customer interactions and preferences, is no longer a strategic advantage but a defensive necessity.

Marketers must now consider how to "market to the agent" as much as to the end consumer. This involves ensuring product information is structured, accurate, and easily digestible by AI systems, and developing strategies to influence agent algorithms. It also necessitates a renewed focus on building direct data relationships with consumers, independent of third-party platforms.