The inflection has already happened. Major labs have shipped agentic products (OpenAI Operator, Anthropic Computer Use and MCP, Google Project Mariner, Microsoft Copilot Studio). Gartner projects 33% of enterprise applications will include agentic AI capabilities by 2028. McKinsey estimates agentic AI will add $2.6T–$4.4T of annual global value.
Regulation is compounding the pressure. The EU AI Act, eIDAS 2.0, US executive orders on AI safety, and sectoral rules in financial services and healthcare all point to the same requirement: AI agents must be identifiable, auditable, and accountable.
At the same time, the infrastructure those agents need to operate safely at scale is still missing:
- Identity is unclear. Most agents cannot prove who they are or who operates them.
- Authority is implicit. Delegation rights are assumed, not verified.
- Governance is fragmented. There is no shared framework for accountability.
- Agents operate in isolation. Interoperability is a promise, not a reality.
This is not a product gap. It is a category gap. The agentic economy needs a trust layer, and none has been built at scale. That is the opening 2060 exists to fill.