As we move beyond basic automation, we need systems rooted in verifiability and accountability. Just like the web needed HTTPS, the agentic web needs a trusted network. To navigate the agentic era, we need a foundation built on three core layers: Decentralized infrastructure: Eliminates single points of control, ensuring resilience, scalability but most importantly sustainability, beyond relying on single private entities to run the entire stack. A trust layer: Embeds verifiability, identity and consensus at the protocol level, enabling trusted transactions across jurisdictions and systems. Verified, reliable AI agents: Enforces provenance, attestations and accountability, ensuring systems remain auditable and enabling these agents to act on our behalf. Decentralized networks must anchor this stack. Agents need systems fast enough to handle thousands of transactions per second, identity frameworks that work across borders and logic that allows them to collaborate and work together, not just swap data. To operate in shared environments, agents need three things: Consensus (agree on what actually happened); Provenance (identify who initiated or influenced it and who approved it); Auditability (trace every step with ease); Without these, agents can behave unpredictably across disconnected systems. And since they’re always on, they must be sustainable and trusted by design. To meet this challenge, enterprises must build on systems that are transparent, auditable and resilient. Policymakers must back open source networks as the backbone of trusted AI. And ecosystem leaders and builders must design trust into the foundation, not bolt it on later.