AI is not the gold rush. AI is the shovel.
That distinction matters because when everyone can buy roughly the same shovel, the shovel stops being the differentiator.
Generative AI can speed up research, outline a document, suggest alternatives, summarize technical material, generate code, and help get a first draft moving. Those are real advantages. But widespread access to the tool does not eliminate the value of expertise. It increases the value of knowing what to do with the output.
The scarce part is judgment
What should be included? What is technically wrong? Which claim needs verification? What will this audience misunderstand? Which detail is important enough to keep even if it makes the explanation longer?
AI can produce something plausible very quickly. The professional advantage increasingly comes from being able to tell the difference between plausible and correct, generic and useful, complete and merely polished.
Expertise becomes more visible, not less
If two people use similar tools, the one with stronger subject-matter understanding, better taste, better verification habits, and a clearer idea of the desired outcome will usually produce the better work.
That is true in technical writing, product marketing, code, design, analysis, and almost every other field being reshaped by AI.
The shovel is getting better. That is useful. But the value is still in knowing where to dig, what you are looking for, and whether what you found is actually gold.