Judgment Capital — the book, and what it argues

Over the past year the same thing kept coming up in board conversations about AI, and it took Oksana and me a book to say it properly. Boards are asked to approve these systems on the strength of what they produce. What rarely gets asked is what the arrangement does to the people who used to produce it. The capacity to judge an output — to know when a confident number is wrong — was built over years of doing the work, and it is spent a good deal faster than it is built. It sits on no balance sheet, so nothing in the reporting cycle tells you it is going. We call that judgment capital. The book is about what happens to it: six ways it erodes, why each one looks like an efficiency at the time it is chosen, and what a board can do while the erosion is still reversible. The manuscript is finished — Judgment Capital: What Boards Must Preserve When AI Does the Thinking, written with Oksana Sivokobilska. The publication date goes to the list first. The board paper the book grew out of is free on the site, along with a reference sheet on the six modes of erosion: judgmentcapital.org #JudgmentCapital #BoardGovernance