I am Dan Rohan, and I built and maintain this site independently. I do it on my own time and the work here is completely unaffiliated with my employer, IBM.

I spent the first half of my career as a network and systems engineer, then transitioned into product management about a decade ago, working on infrastructure and security tools. I hold a Master's degree in Public Policy from Carnegie Mellon's Heinz College.

Professionally, I lead a product team building secure access tools for both human users and AI agents. My work puts me close to how AI agents are actually being deployed inside large organizations, and it has shaped how I think about this project.

While I attempt to present unbiased data, I think it's important to admit my own real biases instead of pretending that they don't exist: I am both fascinated and terrified by AI. I use AI every single day of my life and am amazed by the quality and speed that the technology is advancing. And at the same time, I lay awake at night thinking about the future of my career and how I will provide for my family in the coming future if my industry and career were to be impacted. During the daytime, I hear people close to me question whether their jobs, or their children's future jobs, will exist in five or ten years. I began looking into the data and quickly discovered that building a data-based opinion was impossible by reading studies alone.

This site is my attempt to answer that question to the best of my ability. I want to ground my own opinion in real data. And I want to base that opinion on facts describing where labor-market stress is emerging, which industries and regions appear structurally exposed to AI, and which communities have greater capacity to adapt.

Curious about what this site does and how it works? Read About This Site or dig into the methodology.