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[image] The next phase of AI agents may be less about how many exist and more about what they can actually do. @Concordium’s Agent Registry crossed 1,131 registered AI agents and more than 15,663 on chain transactions within seven weeks of launching. Those numbers show adoption, but

[image] The real test for agentic payments isn’t whether an AI agent can move money. It’s whether we can know who authorized the action and whether the transaction should happen in the first place. Consider an agent purchasing a service it was never supposed to access: > The

[image] The agentic economy needs more than autonomy. It needs identity, accountability, and trust. AI agents will increasingly transact, negotiate and act on behalf of people and businesses. But for that economy to work, we need to know who an agent represents and whether it can be

[image] AI agents can already read contracts, compare vendors, make decisions and initiate payments. But one question remains: Who is the agent acting for? Imagine asking an agent to reorder your groceries and add wine. It finds the product, compares prices and reaches checkout. Then

[image] The real challenge with autonomous AI is not only keeping agents within their limits, it is knowing who is behind the actions they take. An agent might interact with other software, use external tools, communicate with other agents, or make decisions without a person approving

[image] AI agents can already research, negotiate, order and prepare payments. But there is one thing intelligence alone cannot provide: proof of authority. An agent may need to prove its user is eligible, authorised to spend, or represents a legitimate business. That is where

[image] AI agents can act on your behalf, but they still need a way to prove who authorized them to act. They can compare prices, choose products, negotiate deals and even prepare payments. But when an agent reaches a point where identity or authorization matters, things can quickly