Generative A.I. divides the writing profession
Gotham Ghostwriters have released a report on a comprehensive survey of writing professionals who were asked about their experience with and evaluation of the impact of generative A.I.
The conclusion points to a deep divide in attitudes between those writers who use A.I. regularly and non-users.
Positive opinions
Those familiar with A.I. report ways it helps
I’ll upload 10+ hours of transcribed interviews that I’ve conducted with clients and use it to help me
with drafting an outline based on their thought leadership and ideas. I also use it to help me better
match my client’s natural voice and tone. I’m amazed at how many times it’s helped me come out like a
superhero with exactly what my client envisioned.
Today alone I edited 5 chapters, made 3 book covers, summarized meeting notes, put together a Jira workflow, and still had time to go out for dinner with my family.
My research time is less than before. Using prompts, outlines, and pulling quotes from transcripts is faster.
Fear and loathing
The attitudes of non-users are markedly different.
They are bullsh*t machines. The few times I’ve tested them, they have proven to be unreliable, incomplete, and facile.
It is removing human thought from the writing process. I can spot AI writing and even AI outlined writing from a mile away because it is voiceless, empty, derivative slop. Of all the ways to rapidly accelerate climate catastrophe, this one has to be the stupidest.
It removes the human authorial voice and repurposes it into corporate-friendly garbage, even in settings where that voice is not appropriate. It all sounds so similar and soulless.
Tasks
The range of tasks advanced users employ generative A.I. for is much broader than occasional users. Advanced users use AI for an average of 8.6 different tasks weekly, including less common objectives such as deep research and analyzing numerical data. Basic users average four different tasks, focusing on brainstorming and research. Dabblers often do only one task, typically finding titles or doing a web search.
Claude
I was interested to see that Claude is more popular among advanced users. It’s the go-to generative tool I employ for my SciFi series ‘Our Fermented Future‘ which also uses ChatGPT, Perplexity, Grammarly, Suno, and Midjourney.

My experience
In addition to the 12-part ‘Fermented Future’ series on Booch News (running through December 2025, new episodes drop every Friday), my experiments with generative A.I. include:
- Generative AI interpretations of James Joyce’s Ulysses (Dec 2022)
- A comparison of different generative AI images based on the text of Ulysses (Dec 2022)
- AI generated haiku’s about Ulysses (Jan 2023)
- Exploring ChatGPT to generate marketing assets (Jan 2023)
- Playing with Midjourney images (Mar 2023)
- An AI generated outline for a movie (Apr 2023)
- A 3-part series on the AI speechwriter (Jul 2023)
- Generate sales & marketing assets for a small business presentation (Jul 2023)
- A report on AI tools of the trade for speechwriters (Feb 2024)
- AI as a tool for small business (Jul 2024)
- AI bots discuss the science of kombucha via NotebookLM (Oct 2024)
- Comparing speeches generated by Chinese Deepseek (Jan 2025)
- A Deepseek-generated movie script (Jan 2025)
- Midjourney images of speechwriters at work (Feb 2025)
- Saluting generative AI as the ‘speechwriter for the rest of us‘ (Oct 2025)




1 Comment so far
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It’s interesting hear responses to the broader issues around generative A.I. such as this from my Facebook friend Rocky who posted (in response to this article)
These concerns are addressed in detail in a great 8-part podcast series ‘The Last Invention‘ by Longview.
Check it out!
By Theboss on 12.02.25 8:38 pm
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