Superplatforms Are Strategically Compelled to Counteract AI Agents

This position paper argues that superplatforms are strategically compelled to counteract, constrain, or even disrupt AI agents as these agents emerge as competing digital gatekeepers. Superplatforms have built their business models on controlling user attention through targeted advertising, algorithmic content curation, and centralized access to digital services. However, LLM-driven AI agents threaten this model by acting on behalf of users, bypassing platform-controlled interfaces, reducing exposure to advertisements, and potentially becoming the new entrance for digital traffic. Drawing on gatekeeping theory, we analyze why this shift creates a structural conflict between superplatforms and AI agents: whoever controls the user’s primary interface controls information flow, user data, and monetization opportunities. We then examine why common responses, such as proprietary agents and API gating, are insufficient against general-purpose and GUI-based agents, motivating the possibility of more proactive countermeasures. Finally, we outline a taxonomy of such platform-initiated countermeasures and identify the technical challenges they raise. We do not advocate for adversarial disruption; rather, our goal is to surface this emerging tension early and encourage research toward open, collaborative, and user-centric agent ecosystems.