Generalist vs. Specialist in the AI Job Market

One bet is broad adaptability, the other is deep, hard-to-replicate expertise. Here's how the two compare as AI reshapes entry-level work.

One bet is broad adaptability, the other is deep, hard-to-replicate expertise. Here's how the two compare as AI reshapes entry-level work.

One path goes deep on the technical mechanics, the other goes deep on applying existing tools well. Here's how the two compare.

Fields that are changing aren't the same as fields that are disappearing. Here's how to think about studying a field AI is actively reshaping.

Naming a tool is easy and forgettable. Here's how to talk about AI skills in a way that distinguishes you from every other candidate listing the same tools.

Several of the people building the most capable AI systems now want them to advance more slowly. We examined what was proposed, who agreed, and what the history of nuclear weapons, nuclear power and genetic engineering suggests will follow.

When every applicant has the same AI writing tools, generic isn't just weak, it's instantly recognisable. Here's how to stand out through an AI-era job search.

Framing a field change as “giving up” is a framing problem. Here's how to bring a pivot to a mentor so it reads as the considered correction it is.

A pivot succeeds or fails on proof of interest, not just stated interest. Here's how to move from considering a career pivot to making one, without starting completely over.

The mentor who was exactly right for one phase isn't automatically right for the next. Here's how to think about what you need at each stage.

Regular contact isn't the same as a relationship that's helping. Here's how to honestly assess whether yours is working.