Change my mind.
AI, especially autonomous AI is inherently dangerous. Yes it’s virtual, but let’s just pretend that it has the same sort of risk profile as driving a vehicle.
Would you let a 14 year old teen loose in a semi-truck?
A JCB?
How about the family car?
Probably not.
Would you let them drive the family car about in a non-public field for a bit of fun? Maybe, but that would be your decision as a parent.
How about you – I’m guessing that most people reading this have a drivers license, and If you are in the UK (like me) or EU, you drive a manual (stick shift).
Would you yourself, on a public, busy, peak traffic time B-road (country byways) allow yourself to drive an articulated airport style bendy bus? How about a bendy bus packed with 60 random members of the public? How about trust yourself to put it into Autopilot mode and program it to drive both you and your passengers?

Probably not.
You have probably guessed what I’m getting at. For anyone missing the link, this is the exact analogy for AI models, autonomous agents, and your clients’ data.
Replace the vehicle with autonomous agentic AI.
Conscious decisions, laws, rules, regulations, insurance and licensing controls contain drivers in an agreed upon manner keeping us mostly safe and sound out there on the roads, and recuperating losses should and when anything does go wrong (accidentally, due to negligence, or deliberately).
At the very least, autonomous agentic AI must be licensed.
We can’t ship autonomous agents that touch real money because the liability exposure is infinite. We don’t need a pause; we need a valid Chain of Custody.
This is a proposal for an AI “Driver’s License”: “Junior devs” work in sandboxes, while “Principal Operators” cryptographically sign off on production deployments under a corporate fleet permit. This unlocks insurance markets and “Unshackled” Tier 3 models.
Have a read, and tell me I’m wrong.
View the original: https://github.com/RealistSec/Autonomous-License-Compact and https://realistsec.com/autonomous-license-compact, or read the PDF below.