Google DeepMind wants to formalize something most organizations still do by gut feeling: figuring out which tasks to hand off to AI and how much authority to give it.
A research paper titled “Intelligent AI Delegation” (arXiv:2602.11865), authored by Nenad Tomašev, Matija Franklin, and Simon Osindero, lays out a structured framework for managing the messy reality of humans and AI agents working together. The core argument is that delegation isn’t just about breaking a job into smaller pieces. It’s about transferring authority, assigning accountability, defining roles, clarifying intent, and building trust mechanisms that actually hold up under pressure.
What the framework actually proposes
The researchers identify five fundamental requirements for effective AI delegation.
First, dynamic assessment. Before handing a task to an AI agent, the system needs to evaluate that agent’s current capabilities and available resources in real time. Not what it could do in theory. What it can do right now, with the data and compute it has access to.
