Expert in a Dying Field

There is a particular kind of anxiety that comes from becoming very good at something the world no longer seems to value.

You spend years learning the language, tools, and small details that separate competence from mastery. Then the world changes. A new technology arrives. A business model collapses. An industry shifts direction. Suddenly, the path that once looked stable begins to disappear beneath your feet.

Maybe, in another reality, the road never took this twist. Maybe newspapers remained dominant, photography stayed physical, maps remained folded in glove compartments, and expertise continued to accumulate in a predictable way. In that reality, becoming an expert meant reaching a destination.

In this one, expertise is a platform. The world changes, and adaptation is normal. Reinvention is usually less about starting over and more about finding a new alignment for the skills we already have.

The New Zealand band “The Beths” captured this feeling in their song “Expert in a Dying Field.” The band meant it as a metaphor for knowing everything about a relationship that no longer exists, but I heard something different.

I heard what it feels like when the world changes and the expertise you built your career around suddenly seems less valuable. Many of us quietly wonder whether the thing we worked so hard to understand is becoming obsolete.

But fields rarely disappear completely. They change shape.

Photography did not end when film declined, although I wrote an article and firmly landed on Team Film in the 1990s. Music did not end when record stores closed. Games did not disappear when arcades faded. Each field moved into a new format, and the people who understood the fundamentals were often best equipped to shape what came next.

Old skills can become supercharged when they meet the right technology.

Artificial intelligence is a good example. AI can search, generate, summarize, and simulate at extraordinary speed. But speed is not judgment. A system can produce a thousand answers and still miss the one that matters.

AI needs knowledge. More specifically, it needs good, specific knowledge.

It needs people who understand why a process works, where it fails, which assumptions are hidden inside it, and which details cannot be ignored. It needs historians, operators, designers, engineers, artists, teachers, analysts, and subject matter experts who can provide context and recognize when something feels wrong.

General knowledge can make AI impressive. Specific knowledge makes it useful. (The riches are in the niches).

That creates an opportunity for people who worry they are becoming experts in dying fields. Their expertise may not be dying at all. It may simply be waiting for a new interface. The cartographer becomes a geospatial data expert. The librarian becomes a knowledge architect. The tabletop game designer becomes a simulation designer.

The skill survives because the purpose survives.

Reinvention does not require rejecting your past. It requires understanding which parts of your experience still matter and connecting them to where the world is going.

The future may not look like the road we expected to travel. It will probably include strange turns and technologies that make us question whether we chose our careers wisely. But the road is not asking us to forget what we know. It is asking us to use it differently.

You may be an expert in a dying field, or you may be standing at the edge of its next form.