We are starting with the technology when we should be starting with the work.
The opportunity in front of us is not to take the work we have today and put AI on top of it. It is to step back and ask a much bigger question: if we were designing this work today, knowing what is now possible, how would we design it?
That is AI Work Design.
It means understanding the work before deciding what technology to deploy. It means understanding what work creates value, what should disappear completely, what should be redesigned, where human judgement matters, where AI can create intelligence, where agents can take responsibility, and how humans and technology should work together.
This is where the real value of AI will come from.
Yet almost every organization we speak to has the same problem. The capability to do this does not exist at the scale they need. So organizations are borrowing it.
We are outsourcing one of the most important capabilities we have: the ability to design how our own work gets done. Consultants, vendors and external teams come in to help us redesign our organizations. They bring the capability for a period of time. Then they leave, and too often the capability leaves with them.
That might work as a bridge. It cannot be the destination.
Because this is not a transformation project. There is no point at which AI transformation is finished and everyone goes back to business as usual. The technology will keep changing. What is possible will keep changing. The economics of work will keep changing. And our organizations will need to keep redesigning work as a result.
This is a capability we need to build inside our businesses, and we are going to need it forever. The most ambitious organizations are already realizing this. They are not asking only where they can deploy AI. They are beginning to build the capability to understand their work, identify where intelligence can change it, redesign it, and then build the technology required to make that new design real.