The argument
Enrique Dans makes a point in Fast Company that most AI-and-jobs coverage misses: the real transformation isn't that AI helps people work faster — it's that AI changes the minimum viable size of an organization. For over a century, doing more meant hiring more. AI breaks that assumption. When three people with the right tools can do what used to take thirty, the question isn't just "will my tasks get automated?" — it's "does my role exist because the org needs this many people, or because the work itself demands it?"
What this means if you're navigating a career move
This is the part that matters for anyone between roles, considering a change, or wondering whether their position is structurally sound.
If your role is coordination-heavy — managing handoffs between teams, synthesizing updates, routing information — you're in the category most affected by smaller orgs. These roles exist because organizations are complex. As AI compresses that complexity, the roles compress with it.
If your role is judgment-heavy — making decisions under ambiguity, navigating stakeholders with competing interests, applying expertise that can't be templated — you're in a structurally stronger position. Smaller companies still need judgment. They just need fewer people doing everything else around it.
If you're job-hunting, this reframes what to look for. Companies that are "lean" aren't necessarily cutting corners — they may be structurally post-AI, operating with fewer roles that each carry more leverage. That can mean more responsibility, more autonomy, and less bureaucratic insulation. Whether that's opportunity or exposure depends entirely on which tasks fill your week.
The practical lens
The question to ask yourself isn't "is my job safe?" — it's "if my company cut headcount by 40% tomorrow and used AI to cover the gap, would my specific task mix still require a human?" That's what strategic leverage actually measures: not whether your title survives, but whether the work inside your title is the kind that stays human.
This is exactly the kind of structural analysis Career Ladder is built to surface — which parts of your work are high-leverage and defensible, and which are quietly becoming optional.