AI is stepping on the commercial floor. Not as software, but as an actor. The agents not only analyze the markets, achieve agreements, establish terms and move capital through decentralized rails where the agreement is final. For institutional cryptography desks, that means faster trades, better products and completely new exhibitions.
Now imagine that two agents negotiate a derivative contract but record different numbers. One books $ 100 million, the other $ 120 million. Who is responsible when the gap triggers failures or investigations? This is not the theory, it is the reality of the era of agents. The AI learns, negotiates and acts within financial systems, where even small mismatches can create a systemic risk.
But there is a growing problem: agents could be acting in false or non -verifiable data with real consequences. An artificial intelligence system used by the National Health Supplier of the United Kingdom erroneously diagnosed a patient, citing a fictional “health hospital” with a false zip code. As we move beyond basic automation, we need rooting systems in verifiability and responsibility. Like the web needed HTTPS, the Agentic website needs a reliable network.
Without a shared memory (also called Ledger)The agents diverge. Conflicting records create failures. Without audit trails, they become opaque, inexplicable, non -reliable and, consequently, not suitable for business use.
This is not a distant scenario. The infrastructure gap already exists. To navigate the agent’s era, we need a base built on three central layers:
- Decentralized infrastructure: It eliminates individual control points, ensuring resilience, scalability, but most importantly, sustainability, beyond trusting individual private entities to execute the entire pile.
- A layer of trust: Embeds verifiability, identity and consensus at the protocol level, allowing reliable transactions between jurisdictions and systems.
- Verified and reliable agents: Comply with the origin, coffee and responsibility, ensuring that the systems remain auditable and allow these agents to act in our name.
Decentralized networks must anchor this battery. Agents need systems fast enough to handle thousands of transactions per second, identity frames that work through the borders and the logic that allows them to collaborate and work together, not just exchange data.
To operate in shared environments, agents need three things:
- Consensus (according to what really happened)
- Origin (Identify who started or influenced him and who approved it)
- Auditorability (Draw each step easily)
Without these, agents can behave unpredictably in disconnected systems. And since they are always lit, they must be sustainable and reliable for the design.
To face this challenge, companies must build on transparent, auditable and resistant systems. Policy formulators must support open source networks such as the backbone of the trusted AI. And ecosystem leaders and builders must design confidence in the foundation, not screw later.
The age of the agents will not automate alone. He will be negotiated, composed, responsible … and reliable, if we choose to build it that way.
