Why FutureJobPath exists

If you're deciding what to study, train for, or try next, most AI career advice gives you doom or hype. One side says AI is coming for everything, so it hardly matters what you choose. The other says new jobs will appear, so there is nothing to worry about. Neither one helps you make a real choice.

FutureJobPath starts with a different question: What actually keeps a career in human hands? The FJP Durability Score turns that question into a 0-100 read on how durable a path is, why it holds up, and what could weaken it.

The Durability Score

Every career here gets a durability score from 0 to 100. We look at the same things for each path: how much of the work AI can already do, what still keeps the job in human hands, and how steady the demand is.

The strongest paths are not the ones AI never touches. They are the ones where AI can take over pieces of the work, but the job still has a hard human core: in-person problems, physical systems robots cannot handle cheaply and reliably, licenses or safety accountability, a person answerable when something goes wrong, and demand that keeps the work necessary.

The score is not a prediction. It shows what the path is relying on.

How to read a score

Being exposed to AI is not the same as being replaced by it. A high score does not mean a path is safe forever, and a low score does not mean you should automatically avoid it. The score helps you see where AI could weaken the work, what still protects it, and whether the cracks are already showing.

Your interests, temperament, money situation, and entry path still matter. The score informs the choice. It does not make it for you.

What's on the site

Each career has three layers: a quick read with the score and bottom line, a deep read with the tradeoffs, entry path, and pay context, and a methodology page showing how the score was built and which sources support it.

GigWatch covers gigs and side hustles: whether the income in front of you right now is a trap, quick cash, a bridge into a real job, or something you could build on.

The FJP Read is our newsletter: the patterns you can only see across the whole field, not one job at a time.

Check the sources

The site is built to be checked. Every methodology page names the public sources behind the score, like federal labor data and published AI-exposure research, and links them. If a score surprises you, start there. You should be able to see what a read is based on, not just trust that it's right.