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Monday, February 16, 2026

Discovering the important thing to the AI agent management aircraft



Brokers change the physics of danger. As I’ve famous, an agent doesn’t simply suggest code. It could actually run the migration, open the ticket, change the permission, ship the e-mail, or approve the refund. As such, danger shifts from authorized legal responsibility to existential actuality. If a massive language mannequin hallucinates, you get a foul paragraph. If an agent hallucinates, you get a foul SQL question operating in opposition to manufacturing, or an overenthusiastic cloud provisioning occasion that prices tens of hundreds of {dollars}. This isn’t theoretical. It’s already taking place, and it’s precisely why the business is all of a sudden obsessive about guardrails, boundaries, and human-in-the-loop controls.

I’ve been arguing for some time that the AI story builders ought to care about shouldn’t be substitute however administration. If AI is the intern, you’re the supervisor. That’s true for code technology, and it’s much more true for autonomous techniques that may take actions throughout your stack. The corollary is uncomfortable however unavoidable: If we’re “hiring” artificial workers, we want the equal of HR, identification entry administration (IAM), and inside controls to maintain them in test.

All hail the management aircraft

This shift explains this week’s greatest information. When OpenAI launched Frontier, probably the most attention-grabbing half wasn’t higher brokers. It was the framing. Frontier is explicitly about transferring past one-off pilots to one thing enterprises can deploy, handle, and govern, with permissions and bounds baked in.

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