Every time we make agents more capable, we seem to make them look a little more like us.

They get inboxes. Task lists. Teams. Managers. Organisational structures. Familiar abstractions that make machine labour easier for humans to understand and oversee.

That makes perfect sense. Every major technology transition begins by borrowing the mental models of the one that came before it. We don’t embrace new capabilities all at once - we wrap them in concepts we already understand.

The history of media is full of examples. Early radio was essentially theatre performed in front of a microphone. Early television looked a lot like radio with cameras. Early films often resembled stage plays, with a static camera observing the action from a fixed position. It took years before creators stopped asking, “How do we recreate the old medium?” and started asking, “What does this new medium make possible?” That’s when entirely new storytelling techniques emerged - close-ups, editing, multiple camera angles, location shooting. The biggest breakthroughs came not from imitating the old medium, but from abandoning its constraints.

I wonder if we’re doing exactly the same thing with AI agents.

Task boards, reporting lines, stand-ups and managers evolved to coordinate humans with human strengths and human limitations. AI agents have neither. They don’t forget. They don’t need meetings to synchronise understanding.
They can share context instantly, work in parallel, and coordinate in ways we’ve never had to design for before.

Perhaps these familiar organisational structures are exactly the right guardrails. They make autonomous systems understandable, observable and governable while organisations build confidence in deploying them.

Or perhaps, in a few years, we’ll realise they were the equivalent of televising a stage play - a necessary transitional step, but one that constrained what the new medium was actually capable of.

The question isn’t whether AI agents can fit into human organisations.
It’s whether we’ve started asking what an organisation designed for agents might look like.

History suggests that’s where the biggest gains usually come from.

#AI #Agents #FutureOfWork