What is the best way to build a personal brand around AI expertise to grow my career?

The mistake most people make is going broad: becoming another voice posting general AI commentary, where you are competing with the entire internet. The position that works is the intersection: AI plus the field you actually know. AI for property managers, AI in clinical trials admin, AI for school operations. At the intersection you have real experience the generalists lack, the audience is smaller but it contains your future employers and clients, and the competition is thin.

The content that builds trust is documentation, not opinion. Write up what you actually did: the workflow you automated, what failed on the first attempt, the prompt that finally worked, the honest before-and-after numbers. Specificity is the credibility signal, and admitting what broke is what separates practitioners from commentators. One documented real project outperforms twenty takes on the latest model release.

Keep the machinery small enough to sustain: one platform where your industry actually is, usually LinkedIn for professional fields, one post a week, and a simple portfolio page collecting your best work. Consistency over volume, because the compounding comes from months of showing up, not from a viral week. Use AI to help draft, then rewrite in your own voice, since an AI-flavoured feed undermines the exact expertise you are demonstrating.

Let the brand trail the work rather than lead it. Solve real problems at your job, write them up, repeat, and the reputation assembles itself: colleagues forward your posts, a hiring manager recognises your name, a conference asks for a talk. Personal brand is the exhaust of visible competence, and the AI moment simply means the field is young enough that a consistent practitioner can still become a recognised name in their niche within a year or two.