10/05/2026
AI Agents: We need to talk about "Borrowing the Car"
The shift from Generative AI to Agentic AI isn't just a technical upgrade; it’s a change in the social contract between humans and software.
When an AI moves from "writing a summary" to "executing a task," traditional, static consent (the "Click-Wrap" we all ignore) fails.
IBM's Grant Miller recently shared a brilliant analogy: Agentic Consent is like lending your car.
You might consent to your friend driving to the store for an hour.
You don't consent to them driving it across the country for a week.
In the world of Agentic AI, consent must be context-aware and dynamic:
Scope-Specific: Just because I let an agent read my email to find a flight doesn't mean it has a permanent "all-access pass" to my inbox.
Time-Bound: Authority should expire. Permanent access is a security debt we can't afford.
Real-Time Transparency: We need to see what the agent is doing while it's doing it, not just a log after the fact.
At Zaqen, we’ve been exploring how Local LLM sovereignty (running models like Mistral via Ollama) plays into this. True sovereignty isn't just about where the data lives—it’s about who holds the "car keys" to the agent's actions.
If we want to build high-trust AI systems, we have to move beyond the "Accept All" button and start building granular, agentic consent into the architecture itself.
Are we ready to manage the "keys" to our AI agents, or are we still giving away the car?