Writing
AI and Layoffs: The Future of Work in the Age of Automation
I build AI systems for a living. At Roblox that means models making moderation decisions that people used to make, at a volume no human team could cover. Which puts me in an awkward spot in the AI-and-jobs conversation: I am both the person building the automation and a person whose own work is being automated underneath him.
This series is my attempt to think through what that means for careers, from the inside rather than from think-piece distance. I'm not interested in whether AI eliminates work in the abstract — that question is too big to be useful. The sharper questions are which parts of the work get cheap to produce, which parts stay expensive to verify, and who gets to move up into deciding what should be built at all.
Posts in this series
Part 1: AI, Layoffs, and the Capability Gradient
Why AI reprices execution first, and why the durable ground is framing and verification.
Part 2: The Evolution of Tech Leadership
What leading looks like when one engineer can direct far more execution than before.
None of this is meant as panic, and none of it is reassurance either. It's calibration. The work is moving. The useful response is to figure out where it's moving and walk there before you're pushed.