In a recent podcast conversation, we explored how autonomous AI agents (not just LLM interfaces) are beginning to act on behalf of users. Once agents can execute tasks, respond to inputs, and operate continuously, the question becomes real: who owns the emitted intelligence and the resulting value?
If the architecture centralizes capture, ownership drifts toward platforms. If it’s designed around containment and user control, the leverage shifts back toward individuals.
It feels similar to past infrastructure shifts where the technology wasn’t the defining factor; the governance model was.
Curious how builders here are thinking about ownership in AI agent systems.
In a recent podcast conversation, we explored how autonomous AI agents (not just LLM interfaces) are beginning to act on behalf of users. Once agents can execute tasks, respond to inputs, and operate continuously, the question becomes real: who owns the emitted intelligence and the resulting value? If the architecture centralizes capture, ownership drifts toward platforms. If it’s designed around containment and user control, the leverage shifts back toward individuals. It feels similar to past infrastructure shifts where the technology wasn’t the defining factor; the governance model was. Curious how builders here are thinking about ownership in AI agent systems.
Full conversation here: https://www.youtube.com/watch?v=aA7oQ5A3KQc