Dear CEO: Let Me Make a Case for Your Writers

“AI can write now, so why do we still need writers?”

On paper, this argument sounds completely rational. Words are appearing on the page faster than ever, the models are improving, and headcount is expensive. If your goal is to cut costs this quarter, it makes sense.

But documentation is more than a line item. It’s a signal.

When you remove the people who understand how information flows through your company, you (eventually) reduce your organization’s ability to think clearly.

AI Has Changed What Writers Do

More than anything, AI has changed what “writer” means.

Technical writers today are system builders. They connect product, policy, and purpose. They turn internal chaos into customer clarity.

Producing text is only one part of that work. Writers also:

• Interpret intent when priorities compete.
• Identify contradictions between product behavior and business messaging.
• Protect the company’s voice that customers have come to trust.

Those are the jobs your “writers” were doing in the background for years, whether or not they had “strategist,” “architect,” or “engineer” in their titles. Cut them, and your company begins to lose its memory.

Documentation Is How a Company Thinks Out Loud

When your documentation degrades, your internal reasoning often follows.

Engineers spend more time rewriting the same explanations. PMs make decisions from stale assumptions. Customer teams create their own “side docs” that drift out of sync with reality. Over time, misinformation becomes institutionalized through attrition rather than malice.

A good writer help prevent that. They’re the connective tissue between what your company builds, says, and sells.

When you offload that role to AI or distribute it to teams that don’t have time to maintain it, the system doesn’t become more efficient. The result is often faster content production alongside greater fragmentation.

It’s a slow burn. Leadership won’t notice right away.

We’re in the Honeymoon Phase

Right now, we’re in love with automation. Everything feels possible. You can spin up a summary, a guide, or a blog post in seconds. But the honeymoon won’t last.

Customers are already noticing what happens when everything sounds the same. The voice of the company starts to blur into the voice of the model, and product documentation begins repeating information instead of teaching people what they need to understand.

Sure, you can train an agent to write in your company’s voice. But developing that voice, teaching it to an AI system, evaluating the results, and keeping it current still requires ongoing human attention. The target also keeps moving. AI companies are continually refining their models to produce writing that resonates with specific audiences, while readers are becoming increasingly familiar with the patterns those models produce. A phrase that sounds natural today may be widely recognized as an AI tell a month from now.

Perhaps customers wouldn’t mind as much if they weren’t encountering this content constantly. But they are. My nine-year-old son can identify AI-generated content with ease, and he’s already tired of it.

By the time companies recognize the extent of that fatigue, they may also realize how much their writers contributed to customer confidence.

The Fiscal Math Looks Different Over Time

You can cut your writers and see savings this quarter. However, you’ll spend it back over the next few years in other ways:

• Developer time: Engineers spend more time explaining what used to be documented clearly.
• Customer confusion: Support tickets increase, onboarding slows, and trust erodes.
• Reputation drift: Customers notice when your public documentation contradicts your product.
• Model pollution: When inaccurate documentation feeds your AI systems, those systems repeat and amplify the mistakes.

The short-term savings are real. But so are the long-term losses; you just won’t see them in this quarter’s balance sheet.

Writers Make AI More Valuable

AI can accelerate what writers do, but it can’t replace why they do it.

It’s true that you don’t need writers to manually produce every word anymore (so long as we aren’t talking about creative writing). But you do need writers to design and maintain the workflows that ensure your content is accurate, connected, and consistent.

Writers are the ones who can:

• Give AI the context and rules it needs to work within your product domain.
• Build validation loops to catch hallucinations and outdated information.
• Maintain your company’s voice across human and machine-generated content.

If you’re serious about AI maturity, those are people worth investing in.

Dear CEO, This Is the Part You’ll Want to Reread

The companies that survive this transition will be the ones that redesign their writing function, elevating it from a cost center to a control system.

Documentation is your company’s external memory. Treating it as merely the output of one department is risky because it influences how customers, employees, and increasingly your AI systems understand your products.

Your company can’t afford to lose that memory when its future depends, in part, on what machines learn and retrieve from it. In my experience, most engineers and PMs care deeply about accuracy. They simply don’t have the time, incentives, or mandate to ensure that information remains connected, consistent, and understandable across the company. That work requires sustained attention, and it deserves a clear owner.

Final Thought

AI has forever changed the documentation process. It’s our collective responsibility to make sure it leads somewhere good.

If you’ve cut your writers, you’ve cut your internal alignment.

And if you’ve kept them, but haven’t empowered them, you’re running a system without an operator. They need the tools, context, and authority to manage information across the organization.

Give them that authority before the next cost-saving decision costs your company its voice.