Jaideep Parashar
Posted on
Positioning yourself as an AI expert is not just about branding; it's more than the branding. In the AI era, expertise is not about doing more implementation. It’s about owning better outcomes.
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Top comments (2)
The outcome-ownership framing is right but it misses one thing: outcome visibility. In most organizations, the person who owns the prompt and reviews the output is invisible to the decision chain that values the result. Positioning as an AI expert only works if you can make the outcome attribution explicit — otherwise credit defaults to the AI did it and the expertise becomes invisible.
That’s a really important addition, and I agree with you. Outcome ownership without outcome visibility often leads to exactly the problem you’re describing, the work gets done, the result is valued, but the human judgment behind it disappears into “the AI did it.”
Making attribution explicit is part of making expertise legible: documenting decisions, showing review checkpoints, explaining trade-offs, and surfacing where human judgment shaped the outcome. Otherwise, the system rewards outputs but not the thinking that produced them.
In that sense, positioning as an AI expert isn’t just about using the tools well, it’s about making the decision-making and governance visible so the organization can see where reliability, quality, and direction are actually coming from.