Why Expertise Becomes Difficult to Articulate as Professionals Grow

Something significant is happening to language.

For generations, good communication was a premium skill. It took real time, practice, and effort to write something truly well. And this is not limited to higher level language or research with jargon; simply the way we talk and write every single day. In recent years that barrier is completely gone, and anyone can instantly generate great text with minimal effort.

In the time it takes to read this paragraph, someone somewhere has generated a blog post, a grant proposal, a website for their practice, a nonprofit fundraising email, and a month's worth of social media captions. The tools that make this possible are not experimental. They are widely available, increasingly capable, and being adopted at a pace that most institutions and industries are still catching up to.

This article is not meant to be an argument about whether that's good or bad, just an observation about what it changes.

From what I can see, it's affected our ability to express ideas clearly.

For most of the internet's history, the competitive advantage in content belonged to the consistent. In the mid-2000's when blogging became popular, the advice for growth was simply to show up more often than your competitors. Those who were able to sustain output over time built audiences, authority, and trust almost by default.

That advantage is eroding for a few reasons.

For one, the "hustle culture" and "rise and grind" mentality was never sustainable. Between 2015-2019 we saw this start to die away (thankfully). The near daily production of most blogs and multiple social postings which required near 80+ hour weeks at times was never glamourous.

Secondly, with open AI's release in 2022, a single person with a clear prompt can now generate a structurally coherent blog post in thirty seconds, volume stops being a differentiator.

Third, as the AI models have become more sophisticated, polished language becomes easier to produce, so it's no longer a sign of knowledge or skill. When everyone can sound professional, professionalism stops being a proxy for capability.

What's left when all of that levels out?

The answer matters enormously for anyone whose work is complex, nuanced, and difficult to reduce to a simple value proposition.

In other words, those who are doing meaningful work have typically struggled struggled to explain their work in language that does it justice. When it becomes effortless to generate massive amounts of writing, the biggest challenge shifts from producing content to getting noticed.

As the internet becomes more and more flooded with text, the way we judge what we read completely changes. It used to be simple: we just wanted to know if a creator could write well, produce good content, and show up consistently. If they did, we trusted them.

Those questions haven't disappeared. But they're being joined by something more demanding.

• Do they actually understand this?

• Do I feel understood when I read this?

• Can they communicate nuance in a way that reflects the real complexity of what I'm dealing with?

These are harder questions to answer with generated language. It's not that AI can't use the right words to sound smart or empathetic—it can, and it's become very good at mirroring and imitating. However, the people you actually want to reach, the clients, investors, or partners making big, high-stakes decisions, can spot that imitation from a mile away. They are getting incredibly good at sniffing out what’s real and what’s just generated noise.

A therapist's potential client, reading two websites that use similar language about trauma-informed care and holistic approaches, isn't just scanning for keywords anymore. They're looking for something deeper: the sense that the person behind the words has actually been somewhere near where they are. That the understanding being offered is lived rather than assembled.

An educator whose approach is grounded in specific beliefs about how people learn needs their website to communicate that specificity, not just its category. Not "I support diverse learners" but the particular way this person sees the problem that most of their field is still framing incorrectly.

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

In each of these cases, what matters isn't the polish of the language. It's the precision of the thinking underneath it. And precision, real precision, is still a deeply human achievement.

Let's be clear here, because it’s easy to confuse two things that aren’t the same at all.

Producing language is a structural task. It requires knowing how sentences work, how paragraphs flow, how arguments are organized, how tone is calibrated for a given context. These are learnable skills. They are also, increasingly, skills that can be replicated by tools.

Expressing meaning is something else.

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. It's what your particular experience has taught you that can't be reduced to a credential or a methodology. Meaning is what the person reading your words most needs to feel understood and recognize themselves in it.

The good news (and least I believe) is that 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, find themselves with messaging that is structurally sound and emotionally flat. The sentences work. and the paragraphs connect, but there is that je ne sais quoi that is still missing.

I believe this missing quality is usually articulation. It's the bridge between what someone knows deeply and what they're currently able to express clearly. It doesn't mean they need to write better technically, but work to better translate what's already true.

That gap existed before AI made language abundant. However, as AI has made text so much easier to produce, it's just made the articulation gap so much more visible, and more consequential.

Ready for the biggest irony of communication today?

As language becomes easier to generate, the generic becomes easier to produce. And as the generic becomes easier to produce, it also becomes easier to recognize. And what is recognized as generic is increasingly easy to scroll past, skim over, or dismiss.

Abundance raises the signal value of specificity.

When everyone can produce a professional-sounding paragraph about their value-driven approach, the paragraph that stands out isn't the most professional-sounding one. It's the most specific one. The one that names something true in a way that makes the reader stop and think: I have 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 point of view. It requires the willingness to say something particular when the safer choice is to stay broad. It requires 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. The more prevalent AI-generated language becomes, 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 that is so specifically true that it stops the right person mid-scroll and makes them feel, for the first time in a long time, genuinely seen.

This is where I want to be careful not to reduce a complex shift to a simple prescription. Because the answer isn't just "be more specific" or "sound more human." Those instructions, useful as they are, still leave the most important question unanswered: specific about what? Human in which particular way?

What I think will matter most, for the purpose-led professionals and organizations doing meaningful work in a noisy online space, is something I'd call philosophy visibility. It's different from positioning and personal branding. It goes deeper than your unique value proposition which is limited to what you do and who you do it for.

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. What you understand about the people you serve that most of your peers either don't see or don't say. What your particular vantage point, shaped by your specific experience and your specific way of being in the world, allows you to offer that can't be replicated by someone with the same credentials but a different history.

That's what builds trust in an era when trust can no longer be borrowed from credentials or production volume or consistency alone.

This is what makes your work truly connect with people. It goes way beyond just being easy to understand, but it actually hits home and feels deeply meaningful to whoever reads it. When women doing meaningful work communicate this way, they don’t just get more clients or more funding. They get the right ones. They attract the exact people who don't just see them as an option, but as the only person for the job.

You don't need to compete with AI on speed, volume, or production.

That was always the wrong race for the kind of work you do.

What you need, and what is genuinely harder to manufacture, is clarity about what you actually think. Precision about what your work makes possible that nothing else does quite the same way. Language that reflects the depth of your understanding rather than the category of your profession.

Anyone can generate words, but the ability to express something true, specifically and clearly and 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 clear yet, that's rarely a content problem. It's almost always an articulation one. The understanding is there. The language that carries it clearly hasn't been built yet.

That's exactly the gap the Story Gap Audit is designed to find. And if you're earlier in the process of uncovering what you actually want to say, the Brand Story Starter Kit is where that excavation begins.