Someone raises their hand and asks the question that many people in the room are already thinking:

“What if we’re working ourselves out of our jobs?”

It’s a question I hear regularly when I teach classes on AI and language models. Sometimes it’s asked directly. Other times it appears as skepticism, resistance, or quiet discomfort. Regardless of how it shows up, the concern is real.

And frankly, I understand it.

When people ask this question, they are not usually asking about technology. They are asking about security. Relevance. Identity. They are asking whether the skills they have spent years developing will still matter in a future that seems to be changing faster than anyone can fully comprehend.

I don’t dismiss those concerns because I don’t think they are irrational. History gives us plenty of examples of technology reshaping entire professions. The internet changed work. Email changed work. Smartphones changed work. Artificial intelligence is already changing work, and anyone paying attention can see it happening in real time.

What I have found, however, is that the conversation often gets stuck in the wrong place.

We spend so much time debating whether AI will replace jobs that we rarely stop to ask a different question:

What role do I want to play in a world where AI exists?

That question feels fundamentally different to me. One question positions us as spectators waiting to see what happens. The other positions us as participants deciding how we will respond.

The difference between those two mindsets is agency.

Agency is the belief that your actions matter. It is the belief that you can influence outcomes instead of simply reacting to them. During periods of uncertainty, agency becomes especially important because uncertainty has a way of convincing people that they are powerless.

I know this because I have felt it myself.

When ChatGPT first appeared in late 2022, I wasn’t looking for a career shift. I wasn’t trying to become an AI expert. In fact, I was mostly curious about why so many people suddenly seemed obsessed with a new technology that few could adequately explain.

Eventually curiosity won.

I signed up for an account and began experimenting. Looking back, my earliest interactions were fairly unremarkable. I used it much like a search engine. I asked questions. I explored ideas. I tested a few scenarios. The experience was interesting, but I didn’t yet see how it might become part of my everyday work.

The turning point came when I was preparing for a lunch-and-learn session on wellness.

Like many presentations I had built before, I started with too many ideas competing for attention. Wellness, productivity, stress management, mindset, resilience. Each seemed important, but none felt like the central thread.

This time, however, I had a new tool available. I began using ChatGPT as a thinking partner. Not to create the presentation for me, but to help me wrestle with the ideas.

As the conversations evolved, one theme kept resurfacing: self-awareness.

That thread eventually led me to research on internal and external self-awareness. I read, reflected, and continued using the language model as a sounding board while I developed the presentation.

When I finally delivered that session, something felt different.

The content was more focused.

The ideas connected more naturally.

The message felt clearer.

The AI had not done the thinking for me.

It had helped me think better.

That distinction became one of the most important lessons I’ve learned about these tools.

The popular narrative often assumes that AI makes people smarter. That’s not how I would describe my experience.

My intelligence didn’t suddenly increase.

My expertise didn’t magically expand.

What changed was my ability to work with information.

For years I had admired people who seemed naturally gifted at synthesizing ideas, creating compelling presentations, and turning complexity into clarity. They could look at a messy collection of information and somehow identify the signal hidden within the noise.

I always appreciated that skill. I just never considered it one of my own strengths.

Then something interesting happened.

The barriers between having an idea and exploring an idea began to shrink.

The barriers between curiosity and experimentation began to shrink.

The barriers between learning and creating began to shrink.

I found myself exploring topics more deeply because I had a tool that could help me organize my thinking, challenge my assumptions, and expose me to perspectives I hadn’t considered.

That lunch-and-learn became more presentations. Those presentations became workshops. The workshops became training programs. Along the way, I started building — small applications that solved real problems. One helped people make sense of a crowded music festival schedule. Another helped people learn how to structure prompts more effectively. Another was designed to reduce the overwhelm many people feel when they first encounter the AI ecosystem.

None of those projects existed because I set out to become a software developer.

They existed because curiosity kept leading me to new questions.

What else could I build?

What else could I learn?

What else might be possible?

Most people won’t follow the same path I did. They don’t have to. The invitation isn’t to become an AI educator or to build apps. It’s just to stay curious longer than feels comfortable.

Looking back, I realize that artificial intelligence was never the most interesting part of the story.

The most interesting part was what happened when curiosity met opportunity.

That’s why I often think there are three common responses to major technological change.

Some people ignore it.

They hope it is overhyped. They assume it will eventually fade away. They wait for the dust to settle.

Others use it.

They summarize documents. Draft emails. Generate meeting notes. Create first drafts. They become more productive.

These are valuable outcomes.

But there is a third group that approaches change differently.

They redesign how they work.

Instead of asking, “How can this help me do my existing tasks faster?” they ask, “What becomes possible now that this capability exists?”

That question changes everything.

Historically, the people who benefit most from technological shifts are not always the most technical. They are often the people willing to experiment while everyone else is still debating. They learn before they feel ready. They build before they feel qualified. They remain curious longer than most.

When people tell me they are worried about AI replacing them, I often ask a simple question:

What part of your job would you gladly never do again?

The answers come quickly.

Formatting slides.

Searching through documents.

Creating status reports.

Organizing notes.

Writing routine communications.

Building first drafts.

Most people can immediately identify tasks that consume time without creating much fulfillment.

Then I ask a second question.

If those tasks required half the time, what would you do with the hours you got back?

The answers become much more interesting.

People talk about mentoring.

Building relationships.

Thinking strategically.

Solving problems.

Developing new skills.

Helping customers.

Supporting colleagues.

The activities they describe are often the parts of work they find most meaningful.

That doesn’t mean AI automatically creates a better future. Organizations will make choices. Leaders will make choices. Markets will make choices. No one can honestly predict exactly how it all unfolds.

What I do know is that focusing exclusively on what might be lost can prevent us from exploring what might be gained.

And that brings me back to agency.

The most powerful idea I’ve encountered through my exploration of AI isn’t a technical concept. It isn’t prompt engineering. It isn’t machine learning. It isn’t model architecture.

It’s agency.

The belief that we still have choices.

The belief that we can participate in shaping our future rather than simply waiting for the future to happen to us.

When people feel powerless, they withdraw. They wait for certainty before taking action.

When people feel agency, they experiment. They learn. They adapt. They create.

That’s the mindset I hope to encourage whenever I teach about AI.

Not blind optimism.

Not blind skepticism.

Agency.

Because none of us know exactly what work will look like ten years from now.

But we do get to decide how we respond to the uncertainty.

We can sit on the sidelines and hope things work out.

Or we can spend time understanding these tools, testing ideas, developing new skills, and expanding our understanding of what is possible.

When people ask me how to prepare for an AI-enabled future, they are often looking for a shortcut. A framework. A prompt. A list of tools.

Those things have their place.

But my answer is usually much simpler.

Get curious. Spend a few hours each week exploring. Build something small. Pay attention to what works and what doesn’t.

Most importantly, remember that this isn’t ultimately a story about artificial intelligence.

It’s a story about human capability.

The people who thrive in the years ahead may not be the technical experts. They may simply be the people who learn how to combine their experience, judgment, creativity, and curiosity with these new tools.

That is the opportunity in front of us.

Not certainty.

Not guarantees.

Not predictions.

An invitation to agency.

And in a time when so many people feel like the future is happening to them, that invitation may be one of the most valuable gifts we can offer ourselves and each other.

Not constantly. Just in quieter moments; usually about decisions. Small ones. Big ones. The kinds of choices that didn’t feel monumental at the time but quietly redirected the entire course of life.

I suppose everyone does this eventually.

You reach an age where you’ve lived long enough to see the long tail of your decisions. The immediate consequences are long gone, and what remains are the lives those choices built around you.

Sometimes I think about one decision in particular.

A little over thirty years ago, my wife and I were newly married and trying to figure out what adulthood was supposed to look like. We had optimism, limited money, and careers that at the time felt anything but stable.

Miss T had graduated from teachers college just as the hiring market dried up. The jobs weren’t there. I was patching together seasonal work and trying to convince myself it was temporary.

We were young enough to still believe life could turn dramatically with one bold move.

And we had an option most people didn’t.

Miss T is American.

That meant we could take a shot in the United States.

I remember the conversations we had back then. They weren’t cinematic or dramatic. No swelling soundtrack. No grand speeches about chasing dreams. Mostly they were practical conversations between two young people trying to build a life.

What if we tried? What did we really have to lose? If not now, when?

There’s a certain recklessness that belongs to youth, but there’s also courage in it. Sometimes those are the same thing wearing different clothes.

So we went.

First Minnesota. Then Texas for a spell. Then eventually back to Minnesota again.

Thirty-one years later, here we still are.

It hasn’t always been easy.

People often compress life stories into tidy summaries. “We moved to the U.S. and things worked out.” But life rarely unfolds in straight lines like that. There were lean years. Uncertainty. Stress. Moments where both of us wondered if we were doing the right thing. Moments where home felt very far away.

But professionally, opportunities opened for me here that simply would not have existed otherwise.

I’ve been fortunate enough to serve as a Vice President at two Fortune 100 companies. Even writing that sentence still feels strange to me sometimes. A guy without a finance degree climbing into leadership wasn’t exactly the obvious path.

I honestly don’t know if that career would have been possible in Canada at the time.

The U.S., for all its flaws and contradictions, has historically had a unique willingness to reward output over pedigree in certain spaces. Not everywhere. Not always. But enough that someone like me could carve out a career through experience, persistence, adaptability, and probably a little stubbornness.

For that, I’m deeply grateful.

And yet…

Every now and then the question still sneaks in.

What if we had stayed?

That’s the thing about forks in the road. Even when you’re happy with your life, your mind still occasionally wanders down the other path.

Had we remained in Canada, Miss T likely would be retired by now like many of her classmates. Retirement there often feels more tangible, more structured. Pensions still exist in ways that feel almost mythical in the United States, where retirement planning can sometimes resemble a long-running anxiety disorder with quarterly statements attached.

There are days when that sounds awfully appealing.

I think about slower mornings. Less financial uncertainty. Maybe being physically closer to family over the years. A different pace. A different kind of life.

And for a few moments, the alternate timeline starts to look attractive.

But then something always interrupts the fantasy.

I start thinking about the people.

The friendships.

The lives that became intertwined with ours because of one decision made three decades ago.

I think about the people who mentored me when I was still figuring things out. The colleagues who became genuine friends. The people we celebrated with, leaned on, laughed with, cried with. The people who showed up when life got difficult. The people we helped along the way too.

I think about conversations that only happened because we were here. About opportunities to encourage someone. To mentor someone. To help someone believe in themselves a little more than they did the day before.

And then I realize something impossible to measure:

Had we chosen differently, there would now be a hole in my life exactly the shape of those people.

Sure, in another version of life we would have met different friends. Different neighbors. Different coworkers. Different communities. Human beings are adaptable that way. Life would still have happened.

But those are the “never knowns.”

You can imagine alternate outcomes all you want, but you can never truly compare them against the life you actually lived. The roads diverge too completely. One life does not become better or worse in any objective way; it simply becomes different.

And different is impossible to audit fairly.

I think that’s why nostalgia can be so deceptive sometimes. It edits reality. It removes the uncertainty, the stress, the fear, and leaves behind a cleaner emotional narrative.

But if I’m honest, when we made that decision thirty-one years ago, we had no idea how it would turn out.

We weren’t choosing between certainty and risk.

We were choosing between one uncertainty and another.

Smaller forks count too.

Years ago I knew exactly what kind of vehicle I wanted. By the time I could afford to buy one, I’d forgotten and I let someone else’s recommendation guide me into a different brand entirely. It took years to find my way back to the one I’d originally wanted.

Nothing dramatic. Just a small reminder that you can drift away from what you actually want without ever making a decision that feels wrong in the moment.

That’s adulthood more often than people admit.

Most major life decisions happen without enough information. You choose careers before you fully know yourself. You choose cities before you understand what kind of environment helps you thrive. You marry someone while both of you are still becoming who you’ll eventually be.

Then you spend years growing into the consequences of those decisions.

Sometimes beautifully. Sometimes painfully.

I’ve stopped trying to determine whether every major decision in my life was objectively “right.”

That’s an exhausting game because there’s no final scorecard. No alternate universe version of you arrives at the end to compare notes.

There’s only the life you built. The people you loved. The people who loved you back. The moments that shaped you. The scars you carry. The memories you’d fight to keep.

And maybe wisdom, or at least aging, is finally understanding that life is less about optimizing every decision and more about fully inhabiting the one you made.

So would we make the same decision again knowing everything we know now?

Sometimes I start to think about it seriously.

And then I realize it doesn’t really matter.

No matter how much we occasionally imagine a different present, life doesn’t offer exchanges or store credit for roads not taken.

Life has a no return policy on gifts.

Something I almost never volunteered in professional settings.

I don’t have a college or university degree.

I’ve attended both. When I was younger, I wandered through classrooms and campuses trying to figure out who I was supposed to become. Like a lot of people that age, I thought the answer might be hidden somewhere in a classroom.

But I never found it there.

What I found instead was work.

Messy work. Humbling work. The kind of work where nobody cares about your potential and everyone cares about whether you can solve problems, communicate clearly, stay calm under pressure, and keep showing up when things get difficult.

I think part of that started long before my career ever did.

I come from a family of five kids, and there wasn’t a lot of extra money. The basics were covered, but if I wanted anything beyond that, I had to go earn it.

So I hustled.

I had a paper route. I worked odd jobs during the summers. By sixteen, I was working as close to full time as a high school schedule would allow. As soon as classes ended, I was on the clock somewhere.

Looking back now, I realize I never really stopped.

Part of that was survival. Part of it was how I was raised. Work wasn’t discussed philosophically in our house; it was simply what you did. You contributed. You figured things out. You kept moving.

But if I’m being honest, another part of it came from something harder to admit.

I have spent much of my professional life carrying around a quiet sense that eventually someone would discover I didn’t belong in the room.

Not because I couldn’t do the work. I could. I did. Repeatedly.

But because in a world that often treats degrees as shorthand for intelligence, capability, and legitimacy, I knew I lacked the credential people instinctively respected.

Early in my career, I kept that fact hidden.

I managed people with degrees from respected colleges and universities. Smart people. Capable people. People who had spent tens of thousands of dollars earning credentials that society immediately recognized. Meanwhile, I had arrived at the same table through a completely different route: grit, stubbornness, long hours, self-teaching, failure, adaptability, and a willingness to outwork almost anyone around me.

So I compensated the only way I knew how: by working harder.

Earlier than everyone else. Later than everyone else. Taking on more. Learning on the fly. Trying to outrun the feeling that I was somehow behind before I even started.

What changed isn’t what you might think.

The doubt didn’t leave. It still knocks when I’m updating a profile or filling out a resume — the same finger pushing at the same door.

What’s interesting is that the conversations I’ve had with people in academia tend to circle around the same list of outcomes. Higher education, they say, teaches people to think critically, solve complex problems, communicate effectively, manage competing responsibilities, and operate independently.

Those are real skills. And they’re right to claim them.

But here’s the thought I keep coming back to:

Those skills are not exclusive to higher education.

Some people learn them in lecture halls.

Others learn them because rent is due Friday.

This isn’t an argument against college or university. Higher education absolutely has value. It exposes people to new ideas, different perspectives, mentorship, structure, and opportunities they may never encounter otherwise. Degrees can open doors, and for many professions they should.

But somewhere along the way, we also started confusing credentials with capability.

We started acting as though intelligence only counts when it arrives stamped with institutional approval.

Life doesn’t really work that neatly.

Some people are educated by professors. Others by responsibility. Or hardship. Or failure.

The older I get, the more I realize there are brilliant people everywhere who never had the opportunity, resources, timing, or desire to pursue formal education. There are also highly educated people still trying to figure themselves out. The diploma alone never tells the whole story.

And maybe that’s why I finally stopped treating this like a secret.

Because the truth is, I did belong in those rooms.

Not because someone handed me permission to be there, but because over years of work, mistakes, learning, persistence, and showing up when things got hard, I earned my seat at the table the same way most people eventually do:

One day at a time.

I was fifteen years old and wanted to become a firefighter like my grandfather. I don’t even remember who said those words to me, but I remember exactly how they felt. In one moment, something that once felt exciting and possible suddenly felt unrealistic. Maybe it was practical advice. Maybe it was well-intentioned. Either way, it hit hard.

What followed were years of searching for direction. I bounced between colleges, universities, and trade schools trying to figure out who I was supposed to become. I spent an enormous amount of time inside my own head, replaying conversations, second-guessing decisions, analyzing every emotional reaction, searching for the magical insight that would suddenly make everything clear. At the time, I thought I was becoming self-aware. Looking back now, I can see that I was mostly stuck in rumination.

That distinction matters more than people realize.

And it turns out I wasn’t unique. What I was doing — mistaking constant thinking for actual awareness — is closer to the default mode most people operate in.

Today, self-awareness has become one of the most overused ideas in leadership, coaching, and personal development. Everyone talks about it. Organizations build programs around it. Leaders claim to value it. Most people believe they already have it.

Research from Dr. Tasha Eurich challenged that assumption years ago when she found that while the vast majority of people believe they are self-aware, only a small percentage actually are. More than a decade later, I think that gap may have grown even wider.

We live in a culture that encourages constant self-expression but not necessarily honest self-examination. People are more comfortable talking about themselves than truly confronting themselves. We carefully curate identities online, talk openly about growth and healing, and learn the language of emotional intelligence. But knowing the vocabulary of self-awareness is not the same thing as practicing it.

That was one of the biggest lessons I had to learn personally.

For years, I assumed that endlessly thinking about my life meant I was making progress. What I eventually realized is that introspection can become a trap when it lacks direction. Reflection helps when it creates clarity, accountability, and behavioral change. Rumination simply keeps you spinning in circles.

The turning point came when I leaned into something my parents instilled in me early in life: never stop growing. Stay curious. Embrace change. Explore what’s possible. I developed a restless spirit that pushed me toward learning, adapting, and challenging myself. Somewhere inside that process, I stopped obsessing over who I thought I should become and started paying closer attention to who I actually was.

That shift changed everything.

Instead of constantly asking, “Why am I like this?” I started asking different questions. What patterns keep repeating in my life? What situations consistently trigger frustration or insecurity? What feedback do I instinctively resist? What impact do I have on the people around me?

Those questions moved me toward awareness instead of analysis.

One of the reasons Tasha Eurich’s work resonates with me so deeply is because it gave structure to something many people experience but struggle to define. Her research identified two types of self-awareness: internal self-awareness and external self-awareness.

Internal self-awareness is understanding yourself from the inside out. It involves recognizing your values, fears, emotional patterns, motivations, strengths, weaknesses, and aspirations. It’s your ability to honestly assess what drives you and what holds you back.

External self-awareness is something entirely different. It’s understanding how other people experience you.

Not how you intend to come across.

Not the story you tell yourself about who you are.

The actual impact you have on the people around you.

That distinction can be uncomfortable because intent and impact are often very different things. You may think you’re being direct while others experience you as dismissive. You may think you’re calm under pressure while your team experiences emotional distance. You may believe you’re collaborative while the people around you feel controlled or unheard.

None of that makes someone a bad person. It makes them human.

We all have blind spots. The challenge is that most blind spots protect something deeper. Defensiveness often protects insecurity. Perfectionism can protect fear of failure. People-pleasing may protect belonging. Control often protects uncertainty. Many of the behaviors we struggle with today started as adaptations that once helped us survive, succeed, or feel accepted.

Over time, those protective behaviors quietly become identity. Once that happens, feedback starts feeling personal.

I think that’s one reason self-awareness feels threatening for so many people. Growth sounds exciting until it requires you to question the version of yourself you’ve spent years protecting. Most people say they want honest feedback right up until they receive it.

The people I’ve met who demonstrate genuine self-awareness tend to share one common trait: curiosity. They stay curious longer than most people. Instead of immediately defending themselves, they pause long enough to ask, “Is there something here I need to see?” That doesn’t mean every criticism is accurate. Some feedback is unfair. Some is projection. But self-aware people resist the urge to automatically reject discomfort simply because it feels uncomfortable.

That mindset became increasingly important to me early in my career. Over time, I discovered that my greatest passion was not simply professional success. It was helping people grow.

Tasha Eurich has a name for people with high external but low internal self-awareness. She calls them Pleasers: people who prioritize others’ opinions, expectations, and approval over their own instincts and needs.

My wife used to live in that category.

She was in a job she genuinely loved when her manager moved into another role. An opportunity opened up, and she considered applying, but deep down she wasn’t convinced it was the right fit for her. Instead of trusting her instincts, she leaned heavily on the opinions of others and gave their perspectives more weight than her own inner voice.

She applied for the role, got the job, and quickly realized she hated it. Within a year, she went from thriving in work she loved to leaving the company entirely.

As difficult as that season was, it became a turning point. She began paying closer attention to her internal signals instead of outsourcing her decisions to everyone around her. She clarified her values, practiced setting boundaries, and slowly started building self-worth and self-compassion. That experience taught her something powerful: self-awareness is not just understanding how others see you. It’s learning to trust yourself enough to listen to your own voice too.

What became obvious to me over the years is that self-awareness is deeply personal, but the process underneath it is surprisingly consistent. The patterns differ from person to person, but growth often begins the same way: you start noticing yourself in real time.

You notice the defensiveness. The shutdown. The need for approval. The controlling behavior. The avoidance.

And once you can catch the pattern while it’s happening, you can finally interrupt it.

That’s why I’ve started thinking about self-awareness differently over the last few years. I no longer think it’s primarily about understanding yourself during quiet moments of reflection. I think the real work happens in live moments, while life is unfolding in real time.

Can you catch yourself becoming defensive during a difficult conversation? Can you notice when your ego takes over? Can you recognize when fear is shaping your reaction before you say something you regret? Can you see your patterns while they are happening instead of only after the damage is done?

Awareness after the fact creates understanding.

Awareness in the moment creates change.

I learned that the hard way.

As a seasoned manager, I believed I was good at assessing talent. I had a team member who desperately wanted to move into leadership, but in my eyes he was too raw. His communication style could be abrupt, he lacked polish, and while confidence was never his issue, I questioned whether he had the interpersonal skills to effectively lead people.

I sat down with him to discuss his future, but looking back, I did far more talking than listening. At one point I even cut him off mid-sentence and gave him what I thought was the unvarnished truth: he did not have what it took to be a manager.

And then I heard myself.

Years earlier, someone had crushed my dream with what they probably believed was practical advice. Now I was doing the same thing to someone else. I had become the dream killer.

After the conversation, I paused and reflected on what had really happened. Was I accurately assessing his potential, or was I defining him by who he was in that moment instead of who he could become with guidance, coaching, and experience?

That moment changed me as a leader.

Instead of closing the door, I reopened the conversation. We worked on it together for years — the communication, the presence, the self-awareness he hadn’t yet developed and I had almost denied him the chance to build. It wasn’t always easy. He was far from perfect.

But over time, he grew into one of my most trusted managers.

He’s still leading people today.

What that experience taught me wasn’t about management. It was about self-awareness. Sometimes the most important moments in growth happen when you catch yourself in the middle of a pattern you didn’t know you were repeating.

I’m still a work in progress, and honestly, I hope I always am. Some of the most meaningful growth in my life has happened outside my comfort zone, in moments where certainty disappeared and curiosity took its place. That’s where self-awareness deepens. That’s where transformation begins.

Not through perfection.

Not through endless analysis.

Through the catch. In the moment. While it still matters.

A few months earlier, I wrapped up a writing series for my company channel and created a companion guide to go with it. The Communications team reviewed it and sent back suggested edits. One stood out.

Remove the em dash.

Not because it was grammatically incorrect. Not because it disrupted readability. Remove it because the em dash has become a telltale sign of AI-generated writing.

Two separate moments. Months apart. Different audiences. Same conclusion.

And in both cases, the feedback came from a good place. Nobody was accusing me of cheating or trying to flatten my voice. They were trying to help me avoid a perception problem. The em dash, somehow, had become suspicious.

The irony is I’ve been using the em dash since high school.

Not casually. Not accidentally. I mean leaning on it, the way some writers lean on commas or line breaks or silence. It gave me rhythm. It let me pivot mid-thought. It made my writing feel like thinking instead of reporting.

And now, apparently, it makes me sound like AI.

If you spend any time in writing circles lately, you’ll hear it: the em dash is a giveaway. A quiet signal that what you’re reading might have been machine-assisted, machine-polished, or machine-generated outright. The advice follows quickly: avoid it, reduce it, replace it.

Kick your old friend to the curb.

That’s the part I’m not buying.

Because the em dash isn’t new. It isn’t artificial. It isn’t some stylistic mutation born in the age of large language models. It has a lineage. One that stretches back to medieval scribes who used long horizontal strokes to mark pauses in handwritten text. It evolved through the constraints of typewriters, where writers were forced into the double hyphen workaround. And somewhere along the way, it became something more expressive than functional.

Ask Emily Dickinson.

Her use of the dash wasn’t mechanical. It was musical. Emotional. Ambiguous in a way that made meaning feel alive rather than fixed. The so-called “Dickinson Dash” didn’t just connect clauses; it created tension. It invited interpretation. It let the reader hover in uncertainty for just a moment longer than grammar typically allows.

That’s not a bug. That’s the point.

So what changed?

AI didn’t invent the em dash. It optimized it.

Language models are trained on vast amounts of clean, modern prose: essays, articles, think pieces, marketing copy. In that ecosystem, the em dash shows up as a reliable tool. The punctuation equivalent of a session musician who can play anything competently and nothing memorably.

So the model learns: when in doubt, use the em dash.

And use it often.

What we’re seeing now isn’t corruption. It’s compression. A stylistic move that once had range and personality is being reduced to a handful of predictable functions: soft pivot, added emphasis, quick aside. The em dash becomes a shortcut to sounding thoughtful.

That’s why it’s starting to feel generic.

Not because it’s artificial. Because it’s overfit.

And here’s where the conversation usually goes off the rails. Instead of asking how to use the em dash better, we start asking whether we should use it at all. As if the presence of a punctuation mark is the problem, rather than the way it’s being deployed.

The real issue is sameness.

AI doesn’t just generate text. It converges toward what is statistically “good.” Clear. Coherent. Polished. And in doing so, it narrows the stylistic spectrum. The edges get sanded down. The weirdness gets averaged out.

The em dash just happens to be one of the tools caught in that gravitational pull.

So now we’re left with a strange dilemma: if you write the way you’ve always written, you risk being mistaken for a machine. And if you change your style to avoid that, you’re letting the machine redefine what “human” writing looks like.

That feels like the wrong trade.

Because the alternative isn’t to abandon the em dash. It’s to reclaim it.

You may have noticed I’ve barely used one in this piece. That was deliberate. I wanted to feel what it was like to earn each one back.

Use it in ways AI doesn’t. Let it interrupt, not just clarify. Let it create ambiguity instead of resolving it. Let it carry emotional weight, not just structural convenience. And maybe most importantly, use it sparingly enough that it actually registers when it appears.

In other words—make it a choice again.

This is the broader shift I think we’re underestimating. AI isn’t ruining the tools of writing. It’s standardizing their usage. It’s turning style into pattern, and pattern into expectation.

And once something becomes expected, it stops being expressive.

Which brings me to the hill I’m actually willing to die on: the ellipsis.

Because if the em dash has been optimized into predictability, the ellipsis still resists.

It doesn’t clarify. It withholds.

It doesn’t resolve. It lingers.

It doesn’t tell the reader what to think. It invites them to finish the thought themselves.

That’s a very different posture. And it’s one that AI, by default, tends to avoid. Language models are designed to complete ideas, not leave them open. To provide answers, not create space. Even when they use an ellipsis, it often feels decorative. A stylistic nod rather than a genuine pause.

But a well-placed ellipsis does something else entirely. It introduces doubt. Or tension. Or subtext. It signals that what’s unsaid matters just as much as what’s on the page.

And that’s harder to replicate.

Not impossible. But harder.

So maybe that’s the line we should be paying attention to. Not which punctuation marks are “safe” or “suspicious,” but which ones still allow for intentional incompleteness. Which ones create room for the reader instead of closing the loop for them.

Because that might be the real distinction emerging in this moment.

Not human vs. machine.

But resolved vs. unresolved.

Polished vs. alive.

And if that’s true, then the future of writing isn’t about avoiding the fingerprints of AI. It’s about leaning into the things that resist optimization. The choices that don’t just convey meaning, but complicate it.

The em dash isn’t the problem.

But how—and why—we use it?

That’s still very much ours to decide.

That gap can show up in a conversation, in a meeting, in a text message, in a family dynamic, or in the way we speak to ourselves when no one else is around. Sometimes we mean to be helpful and come across as dismissive. Sometimes we think we are being clear and land as confusing. Sometimes we believe we are being calm, when what others feel is distance. That gap matters because it shapes trust, connection, and growth.

I have been thinking a lot about that gap lately, both personally and professionally. Over time, I’ve come to believe that a big part of living well is learning how to close it.

Psychologist and researcher Dr. Tasha Eurich describes this as a self-awareness problem—the difference between how we see ourselves and how we truly show up in the world. Her work on internal and external self-awareness was a turning point for me as a leader and a coach, especially the finding that while most people believe they’re self-aware, only a small minority actually are. That insight changed the way I think about leadership, feedback, and what it really takes to grow.

Why this space exists

I created ETC: Engineering the Conversation because I believe conversation is one of the most important skills we have as human beings.

Conversation is how we build relationships. It is how we repair misunderstandings. It is how we learn, lead, coach, support, and grow. It is also how we make sense of ourselves. The way we talk to others often reflects the way we talk to ourselves, and the way we listen can reveal just as much as the way we speak.

This publication is a place to explore that.

It is for people who want to become more self-aware, more intentional, and more grounded in how they communicate. It is for people who care about emotional intelligence, resilience, wellness, and personal growth. It is also for people who are trying to understand what happens when AI becomes part of the conversation.

Because that part matters too.

Conversation is changing

We are entering a time when the tools we use to think, write, and create are changing the way we communicate. Prompting a language model is a kind of conversation. It requires clarity, curiosity, patience, and intention. It reveals how we ask questions. It reflects what we assume. It can even show us how we process uncertainty.

That is part of what makes this moment so interesting to me.

The conversation we have with AI is not separate from the conversation we have with ourselves or with other people. They are connected. The better we understand one, the better we can understand the others.

So this publication will live in that intersection:

• human growth

• self-awareness

• emotional intelligence

• practical tools

• lived experience

• and thoughtful use of AI

What you can expect here

This will be a weekly newsletter, with shorter posts in between when something worth sharing comes to mind.

You can expect:

• Personal stories and reflections.

• Practical ideas for better conversations.

• Tools and techniques for self-awareness and growth.

• Thoughts on resiliency, wellness, and the human journey.

• Experiments and lessons from using AI, prompting, and building with technology.

• Honest exploration of how we close the gap between intention and impact.

Some posts will be calm and reflective. Others may be more direct or provocative. But all of them will be rooted in the same purpose: helping us become more aware of how we show up and how we can show up better.

A personal note

I want this to be personal.

Not performative. Not polished to the point of feeling distant. Personal in the sense that I will be putting my own experiences, questions, and lessons on the page. Some of what I share will come from moments I’ve lived through directly. Some of it will come from things I’ve noticed in conversations, in work, in life, or in the patterns people repeat when they are trying to grow.

I believe that authenticity is often revealed when we are willing to be a little exposed.

That is part of the point here.

I have spent the last couple of years writing a weekly personal and professional growth channel for my organization, and this is my way of expanding that work into a broader conversation. I want to create a place where people can feel seen and heard. A place where reflection leads to insight, and insight leads to action. A place where we can think more deeply about being human.

A simple invitation

If this idea resonates with you, I hope you’ll stay.

I hope you’ll read, reflect, comment, and add your own perspective. I hope this becomes a community where people can learn from one another and talk honestly about growth, communication, and the changing role of AI in our lives.

And I hope we can keep coming back to one question:

How do we close the gap between how we think we show up and how we actually do?

That question will guide this space.

Welcome to ETC: Engineering the Conversation.