If it can be automated, it wasn’t the work
I keep noticing people talk about AI like it's a wave that's about to hit them. "Will it take my job?" "How do we adopt it fast enough?" "How do we...
I keep noticing people talk about AI like it’s a wave that’s about to hit them.
“Will it take my job?” “How do we adopt it fast enough?” “How do we protect ourselves?”
Those are understandable questions. They’re also a little late. If AI can do your job, the problem isn’t the AI. The problem is that your job was never designed to require the human part of you.
Most organizations have spent decades trying to remove judgment from work. Scripts. Processes. Compliance. “Just follow the playbook.” It worked because humans are adaptable. We learned to shrink.
Now the machines showed up. And they’re better at machine-work than we ever were.
Rule: if the work can be automated end-to-end, it wasn’t the work.
The work is what’s left. That’s the human era.
Nobody takes you aside anymore
Print taught a generation when to stop. What we lose when the machines absorb the constraints that used to form us.
Your AI agents need a water cooler
Coordination is a property of the room, not the org chart. What that means when your coworkers are agents.
On the death of the author and the birth of the detector
Why worrying about AI authorship is lazier, and more prejudiced, than it looks.
The work of being available now
A book on AI, judgment, and staying human at work.
The practice of work in progress
Practical essays on how work actually gets done.
Memory is (almost) solved. time is next.
AI can't tell if a memory is two minutes or two weeks old. The fix isn't making models feel time — it's cache invalidation: an as-of stamp on every fact, a clock in the context, and a freshness window for anything volatile.
Did the state change? A simple test for whether work actually happened
Either something exists now that did not exist before, or it does not. A simple test for whether work actually happened, and what changes when you build your systems so they can't record anything else.
How to manage content for multiple clients without flattening their voices
How to manage content for multiple clients without their voices blurring into one house style: a workspace and a voice profile per client, batchable stages, and approval buffers.
Manual fluency is the prerequisite for agent supervision
You cannot responsibly automate what you cannot do manually. AI agents speed up work for people who already know how to do it. They do not replace the need to learn the work in the first place.
The work that remains
When AI handles implementation, the human job shifts from doing the work to understanding the work. Speed without understanding is just technical debt with better commit messages.
Your best people were always better than you knew
For thirty years firms outsourced capability because their teams couldn't produce. AI collapses the production gap. What's revealed underneath is what was there all along.