Episode Details

Source: “Wanted: Head of Human AI Solutions. The New Jobs Being Created by AI”

— Te-Ping Chen, The Wall Street Journal, April 2, 2026

https://www.wsj.com/tech/ai/new-ai-jobs-data-annotator-head-of-ai-c0870d2b

In the first Matrix film, the machines do not kill the humans. They farm them. Millions of bodies suspended in pods, tubes running in and out, each person generating just enough bioelectric energy to power the system that imprisoned them. The humans were alive. You could even say they were employed — the machines needed them. But nobody in the audience mistook the pods for jobs. It was harvest. The humans were the fuel. The machine was the point.

I thought about that scene when I read the Wall Street Journal this morning.

The Journal reports that artificial intelligence created 640,000 jobs in the United States between 2023 and 2025. Head of AI. AI engineer. Data annotator. The numbers come from LinkedIn, and the headline is meant to reassure: AI is not just killing jobs. It is creating them.

I want to tell you why that number should terrify you.

A pathologist in Galveston types out hypothetical medical scenarios after his hospital shift and grades chatbot responses for ninety dollars an hour. A woman in Austin who lost her job at Meta spends her days describing the emotional impact of AI-generated images. A twenty-five-year-old in San Diego with the title Head of Human AI Solutions describes his approach to the role as “fake it till you make it.” These are real people doing real work. Tubes in, tubes out. Energy flowing one direction.

Every one of these 640,000 jobs exists to make a machine smarter. The data annotators label images so models can learn to see. The AI trainers grade responses so chatbots can learn to speak. The heads of AI help companies figure out which human tasks to automate next. The humans are the input. The algorithm is the product. This is not employment that develops human capability. It is employment that develops machine capability. Neo in a pod, generating power for the Matrix, dreaming he has a career.

I have spent thirty-six years building things in factories — Bonnevilles, LeSabres, Impalas, and Cadillac CTS at GM, painted panels at SMP and Rehau in Alabama, motorcycles at Royal Enfield. The panels we painted at those suppliers fed the Mercedes-Benz plant in Vance — the first major Mercedes factory ever built outside Germany, the facility that just celebrated its five millionth vehicle and produces roughly 260,000 luxury SUVs a year for customers in 135 countries. Every GLE and GLS that rolls off that line carries parts that human beings painted, inspected, and perfected. In every one of those plants, the question that determined whether the operation succeeded or failed was not what technology did you install? It was what did your people become?Did the painter who ran the spray line for five years learn to read a film thickness gauge and trace a defect back to the booth’s humidity settings? Did the quality technician who flagged the orange peel learn to adjust the electrostatic charge before the whole batch went bad? Did the team lead who managed seven people learn to teach, not just schedule?

When technology creates jobs that make peoplesmarter, the economy grows a capability it can compound. When technology creates jobs that make machines smarter, the economy grows a dependency it cannot escape. The first is formation. The second is feeding. And the difference between the two is the difference between building a life and being plugged into a pod.

Six hundred and forty thousand feeding jobs is not a labor market success story. It is a confession.

That’s the argument. Now let me show you what it looks like on the ground.

I think about Daniel Millian, the pathologist in Galveston. He reads biopsy slides during the day — real medici