After discussing how GenAI should have us rethinking what “high-quality writing” looks like, I want to say more about what actually goes into the process of “writing.”

 

There’s a persistent popular perception that most of the effort of writing happens on the page itself. That the production of words themselves is what writers do. (This has contributed to stagnating wages for writing talent, but that’s for another day.)

 

A belief that the output of words defines a writer opens the door for hype and panic about GenAI. It’s what lets people declaim that “AI is an amazing writer” while glossing over the other, more important elements of what makes a writer, a writer.

 

GenAI has industrialized the production of words, that is true. And those words can sound pretty good altogether. But anybody who’s written anything of substance knows how much more mental effort you exert in preparing to write something and fixing whatever draft you scraped together. It’s the pre- and post-draft work — the cognitive load required to navigate these processes — that makes the difference.

 

The act of writing is a mode of thought.

When I think about a “high-quality article,” it’s the ones that show that somebody put real thought behind it. That the writer understood the underlying technology, its position in the industry, how it ties to broader conversations, and why I (the reader) should care.

 

And it’s the ones who polish their words, finding the mot juste to describe the emotional and logical cases they’re portraying. Who hear the music great writing conducts and silences the noise so the chorus can sing.

 

That’s the good stuff, folks.

 

It’s why I’ve shared stuff like Ed Zitron’s Substack before. Whether you agree with his stances, he has a stance you can react to. Deep research is evident. You can follow the logical tracks laid out for the train of thought. I wouldn’t call the copy lyrical (I don’t hear the song often in business-y writing), but it flows well for its medium.

 

And that’s why I read his email every Monday — I’m getting a high-quality educational experience.

 

Now, not every B2B article requires Shakespearean stakes. I don’t need to be on the edge of my seat reading about the newest features of Acme, Inc.’s product suite. But I like the goal that business writers could aspire to something slightly more artistic. That GenAI’s industrialization of marketing and sales copy could push us to dream bigger, dive deeper, and be more human — without intentionally leaving in typos as a lame signal of our humanity.

 

Tuning the symphony behind a damn good piece of writing requires us to give our writers the time, space, and resources to do their jobs well. Easier said than done, as demands on our time and attention skyrocket amid industry-wide discussions of “reassessing value.” But, if we’re to rise above the sea of average content AI will automate, it’s a necessity. Specifically, we must empower writers to create peak work by:

  • Giving time and access to subject matter experts for interviews and conversations
  • Opening research avenues to let writers develop their working knowledge bases
  • Organizing information clearly and deliberately to ensure writers can grasp every aspect of a topic
  • Dedicating resources toward human editors to address developmental, mechanical, and stylistic edits equally

Does GenAI have a place in future writing needs?

Yes — just not as the writer. The ability to contextualize information makes it a fine supporting character in your creation efforts. I’ve talked before about Otter.ai and how it helps you iterate through long SME conversations and uncover gold nuggets. I’m still cautious about GenAI-driven article research, but asking ChatGPT or Claude to explain a concept’s topmost layers can help you uncover new directions to pursue (e.g. For the love of all that’s holy, please explain “full-stack observability in IT operations”).

 

GenAI can even be the world’s okayest editor, especially for tactical-level changes. I bet most of you have had Grammarly remove split infinitives or reorder messy sentences. And sometimes, GenAI tools can offer broader, developmental-level suggestions. You won’t get nearly the level of quality and thought a good human editor provides, but in a pinch? Yeah, it’ll make writing a little better.

 

I also still think the broader “AI-powered automation” concept hasn’t been fully explored. Opportunities exist in the information management and content operations side of the house (i.e. admin work). With AI’s help, we can buy back thinking time necessary for great writing.

 

All in all, though…the amazing part of writing — the joy I and other get from it — is how much power it gives people to synthesize ideas and reify them for others. Generating words is part of that, yes, but words are the medium that transmits ideas from human to human. The effort (and sometimes, the struggle) of turning those ideas into words is how great thinking moves between thinking beings.

 

That’s not something we should surrender so easily.

 

Better enabling the passage of high-quality thoughts is the future of written content in the Age of AI. Let’s empower writers to realize that future.

This article first appeared in my newsletter, The Executive’s Guide to the Content Galaxy.

For more about the need for high-quality writing in today’s digital environment, revisit this video:

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alex@sventeckis.com