Ghostwriting

Ghostwriting is the practice of producing content credited to someone else — historically a human writer hired to write in a founder’s, executive’s, or public figure’s voice.

Traditional ghostwriting depends on a writer studying the subject’s past work, interviewing them, and producing drafts that get heavily edited until they read as the subject’s voice. The bottleneck is the writer: throughput is limited, and voice consistency degrades when multiple ghostwriters work for the same client.

AI-assisted ghostwriting changes the bottleneck. A voice fingerprint trained on past content can produce first drafts in the subject’s voice at near-zero marginal cost. The remaining human work is editorial judgment — picking topics, choosing which draft to ship, sharpening the angle. The output is no longer "ghostwritten" in the traditional sense; it is more like a co-author whose draft you review.

For executives and founders, ghostwriting was always a tradeoff between authentic voice and publishing volume. AI tools collapse the tradeoff: high volume in your voice, if the tool actually trains on you rather than on a generic register.