Strong fundamentals for content practitioners are back

SPOILER ALERT: They never left.

Everyone's asking what AI means for content practitioners. While no one's arguing whether or not AI can write anymore, what we're all still arguing — with evidence now in-hand — is that AI cannot write well or consistently without strong guardrails. After all, AI is only as good as what it's being trained on.

That's where fundamentals come in. The more AI generates copy, the more important it is to precisely and technically understand what good writing actually is. Not as taste — but as craft. Because craft is what separates content that builds trust from content that just takes up space. And craft is what (still) separates us content practitioners from the machines.

What the fundamentals actually are

In an AI-augmented workflow, content fundamentals matter differently. They've stopped being best practices and nice-to-haves, and started being requirements. Nowhere is this more true than in our trusty (dusty) old style guides, glossaries, and long-promised but often forgotten content guidelines for design system components — what once was created off the side of your desk and then sat, unreferenced, in a shared drive somewhere has now become the difference between world-class UX and slop.

Here's why.

A style guide used to be the thing you wrote when you started a new job, handed to new writers so they'd know whether to use Oxford commas or American spelling, and then tried to find time to update as often as possible (a.k.a. almost never).

Today, it's one of the most important documents you can feed into your AI. It's what tells your tools how to write — everything from voice and tone, to grammatical preferences, to accessibility, inclusivity, and plain language guidelines. Without it, every AI output is a coin flip. With it, you have something you can evaluate against and improve upon, consistently.

Similarly, a glossary used to be a reference doc that lived on a shared drive and got updated every six months (if you were lucky). Now it's the difference between your AI tools using "account" and "profile" interchangeably — because both appear in your source material — and actually understanding that those words mean different things in different contexts, and that the distinction matters to your users.

But today, terminology consistency is no longer just about rounding up and culling the "wrong" words. It's what determines whether your AI-assisted content is trustworthy — or quietly but very confidently wrong.

And then there are design system content guidelines — the writing guidance that lives inside your component library. This was always the most under-resourced of the three. The button labels, error messages, empty states, and microcopy specs that someone meant to document properly and never quite did.

In an AI-augmented workflow, that gap is no longer just a debt you carry — it's a risk you're actively running. When AI is generating or suggesting UI copy, it needs to know what a destructive action label sounds like versus a confirmation. What your error messages do and don't say. How your empty states balance honesty with encouragement. Without content guidelines at the component level, your AI isn't working from your design system — it's guessing at it. And those guesses show up in your product, at scale, every single day.

The practitioners who define things will matter most

The content designers who'll have the most influence in AI-augmented teams aren't necessarily the ones who generate or ship "the most" with AI. They're the ones who'll do the foundational work — write the style guide with real rationale behind every rule, build the glossary with enough context that someone (or something) else could apply it correctly, document those component guidelines and the why behind every decision.

That work was never glamorous. It rarely got much credit. And it was often pushed off in favour of wireframing, Figma reviews, content critiques, and other (arguably) obsolete practices.

But just like the 1990s, Y2K baggy denim, claw clips, and hacky sacks, they're back and better than ever.

AI has made our foundations visible. And everyone can see whether or not it was built to hold weight.