Design the Job, Not Just the Tool

let me start with a carpenter and a power saw picture a master carpenter decades in the trade and you walk in one morning and hand her a brand new top of the line power saw beautiful tool and then here's the part you change nothing else about the shop it's the same workbench still jammed against the same wall the same cramped aisle she has to back out of Same old rule that says check with someone before you make the cut.

So now she's holding this gorgeous, fast tool, standing in a workflow that has been drawn up for a handsaw.

And I'll tell you what happens within about a week.

Either the saw is sitting on the shelf gathering dust, or worse, it's throwing sawdust all over work that used to be slow and careful.

You didn't make her better.

You bolted horsepower onto a job nobody bothered to redesign.

And that, that exact thing, is what most organizations are doing with artificial intelligence right now.

We are buying genuinely extraordinary tools and dropping them onto jobs that were designed for a slower world.

I call it the bolt-on trap.

And I think it's the single most common reason AI rollouts quietly disappoint.

It's not the model.

It's not the vendor.

It's not the job.

Because when you bolt AI onto a job you've never redesigned, you don't remove friction.

You add one more thing to learn on top of all the old friction that's still there.

And you hand your people one more reason to lie awake wondering whether this tool showed up to help them or to replace them.

I've spent close to four decades working inside companies people admire for how their people perform.

Starbucks, the Ritz-Carlton, Mercedes-Benz, Airbnb, Zappos, Amazon One Medical are just a few examples.

And the lesson that never bends is this.

Technology only lifts people when the job around it gets redesigned to let it.

The tool is the easy part.

The work is the hard part.