Old Work vs. New Work

The Singer wasn’t just about manufacturing sewing machines with interchangeable parts (though they certainly did). More importantly, Singer transformed domestic work.

The sewing machine took something that was handcrafted—clothing, mending—and made it mechanical. Then came the mass production of ready-made clothing.

Singer is a story about technology eating craft from both ends: the machines themselves were standardized, and they standardized the work they did.

When Henry Ford pioneered the Model T and the assembly line, a new promise of abundance transformed how people thought about work again. Jobs were automated and broken into smaller, repeatable steps, with interchangeable parts—and interchangeable people.

Singer mechanized the work. Ford mechanized the worker.

And so we learned the lesson that stuck: technology begins when we make old work easier.

And it did, at first. Ford ushered in the five-day workweek and the $5 wage. Over time, we learned how to do work faster and cheaper at the expense of labor—creating, in the end, an abundance of the things we don't care about: average stuff for average people.

What isn’t getting talked about enough is that AI is both a standardized tool and a tool that standardizes the work it touches—much like the Singer sewing machine. It’s the same pattern, arriving in a new place: not on the factory floor this time, but in the work we thought was ours alone—writing, thinking, deciding.

The new work isn’t more automation of the kind we saw with Singer or Ford.

The new work is human work.

Craft...again.

The real lesson is the part we tend to miss: technology starts by making old work easier, but then it demands that new work be better.

We get to define what better means.