Imagine two AI agents working together. One is researching market data, while the other is responsible for completing a task using that information.
Neither agent knows the other personally. They still need a way to interact, follow agreed rules, and make sure the work gets done as expected.
This is where the agent economy gets complicated.
When humans work together, we rely on identity, reputation, agreements, and sometimes legal accountability. AI agents will need their own ways to establish identity, receive permissions, and interact with digital services safely.
That's one reason I'm paying attention to Kite AI. Its focus on infrastructure for AI agents addresses an important part of this challenge: enabling agents to operate and interact within a more structured environment.
But identity alone doesn't guarantee trust. An agent can be identifiable and still make mistakes. Payments can be automated, but that doesn't automatically make every transaction safe. Permissions, spending limits, verification, and accountability will all matter.
I think the real test for the agent economy will be whether these systems can work reliably outside controlled demonstrations. If agents are going to handle meaningful tasks, users need to understand what they can do, what they cannot do, and who is responsible when something goes wrong.
For me, that's a more interesting conversation than simply asking how powerful AI will become.
Would you trust an AI agent recommended by another AI agent, or would you always want independent verification before letting them work together?
#KiteBBW $KITE
Neither agent knows the other personally. They still need a way to interact, follow agreed rules, and make sure the work gets done as expected.
This is where the agent economy gets complicated.
When humans work together, we rely on identity, reputation, agreements, and sometimes legal accountability. AI agents will need their own ways to establish identity, receive permissions, and interact with digital services safely.
That's one reason I'm paying attention to Kite AI. Its focus on infrastructure for AI agents addresses an important part of this challenge: enabling agents to operate and interact within a more structured environment.
But identity alone doesn't guarantee trust. An agent can be identifiable and still make mistakes. Payments can be automated, but that doesn't automatically make every transaction safe. Permissions, spending limits, verification, and accountability will all matter.
I think the real test for the agent economy will be whether these systems can work reliably outside controlled demonstrations. If agents are going to handle meaningful tasks, users need to understand what they can do, what they cannot do, and who is responsible when something goes wrong.
For me, that's a more interesting conversation than simply asking how powerful AI will become.
Would you trust an AI agent recommended by another AI agent, or would you always want independent verification before letting them work together?
#KiteBBW $KITE