I teach information technology at a community college. IT is my second career. The first one gave me a doctorate.
I am Professor Lamb. I teach networking, programming, and the courses that try to name what AI is doing to ordinary work. Getting paid to help people learn this material is an honor I do not take for granted.
I am overeducated. That is not the same as smart. I have two bachelor’s degrees, two master’s degrees, and a Ph.D., plus a pile of certificates that look impressive on a wall. None of that means I am smarter than 99 percent of people. It mostly means I became very good at school. I have forgotten at least 80 percent of what those programs certified. What I trust more now is practice: the skills you get from getting stuck, helping someone else get unstuck, and writing the problem down until it makes sense.
What this blog is
Overeducated, Ph.D. is writings, regrets, and re-skillings during the AI revolution.
Writings. Writing is how I think, and thinking in public is the point of a blog. Expect drafts, revisions, and the occasional retraction.
Regrets. Not wallowing: accounting. Career changes have real costs, and pretending otherwise is bad advice dressed up as encouragement.
Re-skillings. Plural on purpose. I re-skilled once already, deliberately and slowly. Now the ground is moving under everyone at once: me, my students, and the field I teach.
What you’ll find
Notes from the classroom about what actually helps people learn hard technical material. Reports from the field on where AI genuinely changes the work and where it is mostly vendor noise. Career-change writing for people considering the leap, already mid-leap, or quietly regretting one.
Bias toward evidence over forecasts. Bias toward specifics over vibes. If I make a claim, I will try to tell you how I know.
That’s enough biography. The posts are the point.