This episode explores how AI changes the economics of work by reducing the cost and delay of coordination. It looks at the shift from human-led processes to agent-driven workflows, what that means for managers and departments, and why redesigning work can create a more lasting competitive advantage than simply making existing tasks faster.

In this third episode of Human and AI at Work, I look at the economic case for AI to the practical question of how work should actually change.

There are two broad routes. One is to use AI to improve human performance and most organisations will need both. The harder question is deciding where people should remain central.

This episode explores how to draw the human/machine boundary thoughtfully, and why a human-centred operating model can remain powerful but only where the value it creates still justifies the cost.

In this second episode of Human and AI at Work, looks beyond the usual productivity conversation and asks a more important question: what happens when AI starts to reduce the cost of cognitive work?

Modern organisations have been built around people and around the effort required to coordinate them. Departments, management layers, approval chains, meetings, reporting cycles and handoffs all exist, in part, because human attention, judgement and coordination are limited and expensive.

AI begins to change those economics.

This episode explores how falling cognitive costs could change the structure of the firm, and why the real opportunity in AI goes well beyond doing the same work a little faster.