The Importance of Your Expert Perspective in the Age of AI

For generations, writing well was a real skill. It took time, practice, and a certain kind of discipline . It's not just happening at the level of academic research or technical writing, but in the ordinary way we communicate every day. That barrier is largely gone now. Anyone, for the most part, can generate polished, coherent text in seconds.

In the time it takes to read this paragraph, someone has generated a blog post, a grant proposal, a practice website, a fundraising email, and a month of social captions. The tools making this possible aren't experimental anymore. They're widely available, increasingly capable, and being adopted faster than most institutions know what to do with.

I'm not here to argue about whether that's good or bad. It's an observation about what it changes, especially when it comes to those experts whose work is complex, nuanced, and genuinely hard to put into words.

For most of the internet's history, the competitive advantage in content went to whoever showed up most consistently. The advice in the early blogging era was simple: publish more than your competitors. Volume built audiences. Consistency built authority. Showing up built trust, almost by default.

That advantage is eroding.

With AI tools now widely accessible, a single person with a clear prompt can generate a structurally sound blog post in thirty seconds. Volume stops being a differentiator when everyone has it. And as the models have grown more sophisticated, polished language has become easier to produce. It's no longer a reliable signal of knowledge or capability. When everyone can sound professional, professionalism stops being a proxy for anything.

What's left when volume and polish both level out?

I think this question is relevant now more than ever, especially for the women I work with who find it hard to limit their work to a single value proposition. Meaningful work has always been hard to explain in language that does it justice. When generating massive amounts of text becomes effortless, the challenge becomes being heard above all the content noise.

As the internet fills with text, the way we read changes. It used to be enough to ask whether or not someone can write well, produce good content, show up consistently? If yes, we trusted them.

Those questions haven't gone away. But they've been joined by something harder.

Do they actually understand this?

Do I feel understood when I read this?

Can they communicate nuance in a way that reflects what I'm actually dealing with?

These are questions that generated language struggles to answer, at least for now. It's not that AI can't use the right words, but because the people you most want to reach are getting very good at sensing what's real and what's been assembled. A therapist's potential client, reading two websites that both talk about trauma-informed care and holistic approaches, isn't scanning for keywords anymore. They're looking for evidence that the person behind the words has actually been somewhere near where they are. That the understanding being offered is lived, not borrowed.

An educator whose approach is rooted in specific beliefs about how people learn needs their website to communicate that specificity. It goes beyond, "I support diverse learners," into the particular way this person sees the problem that most of their field is still framing wrong.

A nonprofit leader applying for funding needs their narrative to carry the weight of genuine understanding, not just describe programs in language that reads like every other proposal in the stack.

In each case, what matters isn't the polish. It's the precision of the thinking underneath it.

And that kind of precision is still a deeply human thing.

Producing language is a structural task. It requires knowing how sentences work, how arguments are organized, how tone is calibrated for context. These are learnable skills — and increasingly, they're replicable ones.

Expressing meaning is something else entirely.

It requires knowing what you actually think. What you believe about the problem you solve that most people in your field don't say out loud. What your particular experience has taught you that can't be reduced to a credential or a methodology. Meaning is what makes the person reading your words feel genuinely recognized — not just informed.

Expression can't be prompted into existence. It has to be excavated.

This is why so many professionals, working in good faith with the best available tools, end up with messaging that is structurally sound and emotionally flat. The sentences work. The paragraphs connect. But something essential is missing. I feel, oftentimes, that missing quality is almost always articulation. The bridge between what someone knows deeply and what they're currently able to say clearly.

Don't misunderstand, that gap existed long before AI made language abundant. There have always been people who weren't able to put accurate language to intangible ideas. But AI has made it far more visible and far more consequential.

As language becomes easier to generate, generic becomes easier to produce. And as generic becomes easier to produce, it also becomes easier to recognize. And what's recognized as generic is increasingly easy to scroll past.

Abundance raises the signal value of specificity.

When everyone can produce a professional-sounding paragraph about their values-driven approach, the one that stands out isn't the most polished. It's the most specific. The one that names something true in a way that makes the reader stop and think: I've never seen anyone say exactly that before, but it's exactly right.

That kind of specificity is harder to generate than it looks. It requires a real point of view. You need the willingness to say something particular when the safer choice is to stay broad. It takes enough self-knowledge — and enough understanding of the people you serve — to know which specific truth will create recognition rather than confusion.

Generic messaging will always exist. As AI-generated language becomes more prevalent, it will exist in greater volume than ever before. And for that reason, it will become progressively easier to tune out.

What won't be easy to tune out is a message so specifically true that it stops the right person mid-scroll and makes them feel, for the first time in a while, actually seen.

I want to be careful here, because the answer isn't simply "be more specific" or "sound more human." Those instructions, useful as they are, leave the most important question unanswered: specific about what? Human in which particular way?

What I think will matter most is something I refer to as philosophy visibility.

It's different from positioning and it goes deeper than a unique value proposition.

Philosophy visibility is your ability to communicate not just what you do and who you do it for, but what you believe about the problem. It's what you understand about the people you serve that most of your peers either don't see or don't say. Or your particular vantage point, which has been shaped by your specific experience, your specific way of moving through your work, that allows you to offer that someone with the same credentials and a different history simply couldn't.

That's what builds trust when trust can no longer be borrowed from credentials or consistency alone. It's what makes work connect rather than just register. When professionals communicate this way, they don't just reach more people — they reach the right people. You are no longer one option among several, but as exactly who they've been looking for.

You don't need to compete with AI on speed, volume, or output. That was always the wrong race for the kind of work you do.

Instead, and this is genuinely harder to manufacture, is clarity about what you actually think.

Precision about what your work makes possible that nothing else does in quite the same way. Language that reflects the depth of your understanding rather than just the category of your profession.

Anyone can generate words now. The ability to express something true — specifically, clearly, in a way that makes the right person feel understood — is becoming one of the most valuable things a professional can offer.

If your message feels close but not fully there yet, that's rarely a content problem. It's almost always an articulation one. The understanding is already there. The language that carries it hasn't been built yet.