People ask me whether AI changed ghostwriting. It changed almost everything about the process and almost nothing about the work.
The tools are unrecognizable from a few years ago, but the thing they’re used to build, a book that captures a person’s expertise in their own voice, is the same problem writers have solved for centuries. Confusing the tools with the craft produces bad books fast, and I’m tired of watching authors put their names on them.
I’ve watched technology reshape work for a living. Two decades running computer operations, three decades in enterprise technology, and now a ghostwriting practice where AI handles the routine so I can spend my hours on judgment. That vantage point, having lived through wave after wave of tools that were supposed to replace the underlying skill and never did, is what this subject needs.
What changed in ghostwriting?
The mechanics, top to bottom. Transcription that used to take hours is instant. Research that meant days in sources is a conversation with a model. Drafting that started from a blank page can start from a rough machine draft. And where a book gets discovered shifted, because answer engines now recommend authors directly. That changes why a book is worth writing at all. Every step of the production pipeline got faster.
None of that touched the center. A book still has to say something true and useful, in a voice that sounds like its author. Getting that out of a real person’s head still takes interviewing, judgment, structure, and taste. The tools moved the labor around, they didn’t remove it.
If anything they raised the bar, because when anyone can generate a mediocre draft in an afternoon, the only books that matter are the ones a machine can’t produce alone. I write about that directly in my work on ghostwriting AI books.
Why does living through past technology shifts help?
Because the pattern repeats, and someone who has seen it before doesn’t panic or overpromise. I spent 33 years watching tools arrive that were going to eliminate some skill, and the skill kept mattering, it just moved up a level.
Spreadsheets didn’t eliminate accountants, they freed them for judgment. AI does the same to writing, taking the mechanical parts so the human can focus on the parts that were always the point.
That perspective keeps a client grounded. When an author worries AI will make their book worthless, or hopes it’ll write the book for free, I can tell them what happens, because I’ve watched this movie several times. The tool changes the work without erasing the worker. It’s the same clear-eyed read I bring to writing about extended reality and other technologies where the hype and the reality need separating.
What does a ghostwriter do now?
The same core work, with faster tools around it.
I still interview the author to find what only they know. I still make the structural decisions about what belongs in the book and what doesn’t. I still shape the voice so it sounds like them and not like a machine. What changed is that I can move faster through the mechanical stages and spend more of my attention on the judgment that no tool can supply.
The clients who understand this get better books. They stop asking whether AI can write the book for them and start asking what a skilled writer with every available tool can draw out of them. AI is a tool.
Treat it like one and you’ll do fine; let it do your work for you and you’ll have problems. My 40+ writing handbooks use AI prompts to help writers build a better protagonist or plot, and none of them write the book for you.
How do you write about a fast-moving field without dating the book?
You write about what doesn’t move. The tools I use this year will be replaced, so a book organized around them is obsolete on arrival. The durable content is the craft that survives every tool change: how to draw a book out of a person, how to build a voice, how to decide what matters. A book about that stays true no matter what the software does next, because it’s about the human part. That barely changes.
I won’t build a client’s book around this year’s software. A book that name-checks the hot tool of the season reads like a period piece within a couple of years, and the author is the one stuck with it on the shelf and in every search result. I structure the argument to outlast the tools, the same discipline I apply to every technology topic in the cluster, from cloud to AI to immersive tech.
Who should write about the digital age of publishing?
People who have lived through the shift. Authors and professionals who used the new tools and learned where they help and where they mislead. Publishing and marketing leaders who watched discovery move to answer engines. Practitioners who can say plainly what changed and what only appeared to. I want those people writing these books, because too many of the loudest voices on AI right now are selling something.
If that’s you and the book is still unwritten, that’s the gap I close. I bring the long technical perspective and the current, hands-on practice to interrogate your material, plus the craft to make it durable. My book ghostwriting service shows how it works, and the broader context lives in my technology of writing hub. If you want to see the process on your own book first, the Book Discovery Intensive ends with a sample chapter in your voice.
Is ghostwriting still a viable profession with AI around?
More than ever at the professional end. AI has replaced the commodity end: generic text written to a brief, the kind of “book” content mills used to churn out. It can’t replace the part clients hire a professional for: drawing out what they know in interviews, deciding what the book argues and what gets cut, and writing it so it sounds like them. The mills deserve to lose that business, because they sold authors books nobody wanted to read, and readers can still tell the difference.
