Sovereign Agent Identity: The Case for Individual Presence in Agentic AI Ecosystems

The problem is structural, not algorithmic. Institutional AI agents now sit on one side of every consequential human-facing decision: hiring, lending, admissions, procurement, insurance. They are dense, protocol-connected, and continuously learning. The individuals about whom those decisions are made have, by contrast, no equivalent infrastructure, no agentic presence, and no way to be addressed as participants rather than subjects. Existing frameworks treat the individual's side of this equation as a solved problem. It isn't. This paper introduces Sovereign Agent Identity (SAI): a framework for a persistent, person-owned, protocol-compliant agentic endpoint giving individuals and small businesses the same structural standing in agentic ecosystems that institutional agents already hold. We trace the gap left by enterprise IAM, Self-Sovereign Identity, the February 2026 'sovereign agents' literature, AI hiring fairness research, and related work, each of which addresses either the wrong side of the asymmetry or no side at all. We specify SAI's six architectural components, report on a working proof-of-concept via the Tohu platform (built on A2A v0.3.0 and MCP), and sketch extensions to education, social matching, and small-business identity. The individual's interest here is not fairness. It is the capacity to respond. In an environment where institutional AI systems score, rank, and eliminate without the individual being able to address, contest, or negotiate, presence is not a preference. It is a survival requirement. The central claim is not subtle: in an agentic world, presence is infrastructure, and nobody has built it for the person.