Writing
AI and Layoffs: The Future of Work in the Age of Automation
AI changes the economics of work unevenly. Some tasks get cheaper, some roles get compressed, and some forms of judgment become more valuable because they can direct much larger execution surfaces.
The practical question is not whether AI eliminates work in the abstract. It is which parts of the work graph become cheap to execute, which parts remain expensive to verify, and which people can move upward into framing, operating, and governing larger systems.
Posts in this series
Part 1: AI, Layoffs, and the Capability Gradient
Why AI shifts value toward people who can frame ambiguous work and operate higher-leverage systems.
Part 2: Senior ICs Are the New Managers
How technical leadership changes when agents expand the reach of individual contributors.
How to read it
The point of the series is not panic. It is calibration: understand where work is moving, then move toward the layers where human judgment still compounds: problem framing, verification design, production ownership, and trust-bearing execution.