The traditional enterprise content workflow has a logic to it. A content strategist defines the brief—the purpose, the audience, the angle, the scope. A writer takes the brief and produces a draft. An editor reads the draft against the brief, checks the claims, catches the gaps, and sends it back. The writer revises. Stakeholders weigh in. The piece gets finalized.
Each role has a distinct function. The strategist thinks. The writer executes. The editor judges.
The execution part is now cheap
I spent many years as a freelance writer working with content strategists, product managers, and marketing leads. These were smart, educated people. While many of them were not writers per se, probably 80% of them could have generated a draft that got them at least 80% toward the finish line. But they didn’t have the time. My value prop for these busy people was something I called “shut the door” service—meaning that I had the luxury of shutting my door, focusing on the content, and generating a draft while my clients could do their other work. Fast, clean execution was the service. It was genuinely valuable.
That service is worth less now. Not worthless—but less. AI executes faster and cheaper than any freelancer. And what’s true for freelancers is true for in-house writers too.
AI didn’t just speed up execution. It moved in—inserting itself into the execution layer like it owned the place. The writer still receives the brief. But increasingly, the first draft comes from the AI, not from the writer’s own synthesis of the material. The writer’s job has shifted from producing the draft to managing the process that produces it.
This shift sounds like an upgrade. In some ways it is. But it creates a problem that doesn’t show up in productivity metrics: when the writer’s primary job was producing the draft, they were forced to think through the material deeply enough to write it. That process—slow, sometimes frustrating—was also where judgment got built. Where you noticed that the brief had a gap. Where you realized the angle wasn’t quite right. Where you caught the claim that didn’t hold up.
When the AI produces the draft, that process gets skipped.
The problem that doesn’t look like a problem
Ask an AI to generate a draft and it’ll return something that looks complete. The structure is sound. The sections are present. The language is clean. The document presents itself as finished.
But plausible isn’t the same as good. And complete-looking isn’t the same as complete.
What AI does reliably is fill space convincingly. The difficulty for writers is one of critical distance—which is hard to maintain when you’ve read the brief, built the prompt, reviewed the output, made adjustments, and read through the result. You know what the document is trying to say, so you read what you expect to find rather than what’s actually there. This is not a carelessness problem. It’s a proximity problem—and one that gets harder to manage as AI accelerates the volume and pace of content production.
The writer in the middle
The content writer has always occupied the middle of the workflow—below the content strategist who sets direction and above the editor who judges quality. That position made sense when execution was the hard part.
That’s no longer obviously true.
From above, the content strategist can now prompt an AI and get a credible first draft. The gap between having an idea and having a document has collapsed. From below, the editor is now receiving AI-assisted drafts that look finished but require a different kind of scrutiny—absorbing work that used to happen upstream, in the writer’s own drafting process.
The writer in the middle is getting squeezed from both ends. Not dramatically, not all at once, but steadily. This isn’t a prediction about jobs disappearing. It’s an observation about value shifting.
What actually matters now
The skill that’s becoming more important doesn’t have a clean job title. It sits at the intersection of strategy and editing—the ability to look at a piece of content and know, quickly and specifically, whether it’s doing what it needs to do. Call it editorial judgment. Call it taste.
This is the kind of judgment experienced writers develop over time, often without realizing it. You read enough briefs, enough drafts, enough finished pieces that you start to internalize what good looks like. The uncomfortable implication is that it’s hard to teach and hard to scale. You can document a style guide. You can build a review checklist. Neither transfers judgment. The judgment has to be developed through practice, feedback, and time.
Which means teams navigating this moment need to think differently about how writers grow—not just what tools they’re trained on, but what decisions they’re being asked to make.
The workflow needs to catch up
The current model—brief, draft, review, revise, approve—was designed around execution as the bottleneck. That model made sense when drafting was hard. It makes less sense when drafting is cheap.
If execution is no longer the constraint, the workflow needs to be redesigned around judgment. That means building in critical distance before drafts reach review. It means treating editorial feedback as a development conversation, not a quality gate. It means being honest about what AI produces—structure, volume, plausible completeness—and what it doesn’t: the orientation toward genuine usefulness that no amount of prompt engineering provides on its own.
And in a world where anyone with a prompt can produce content, responsibility for quality is where the value is.
← Back to Blog