Feeling like you're sprinting on a treadmill while someone cranks up the speed?

Yeah, that’s the modern anxiety we’re diving into today! We're chatting about the relentless pace of AI and how it can make us feel like we’re always lagging behind, even when we’re busting our butts to keep up. We’ll unpack an insightful newsletter written by an NLP practitioner who faced this exact crisis, only to discover that the real value lies in human connection and lived experiences—not in trying to outpace a machine.

Join us as we explore how this realisation led to a major pivot in their business model, emphasizing that while AI can process information, it can't replicate the nuanced, emotional intelligence that makes us uniquely human. So, grab your headphones and let’s figure out how to embrace our irreplaceable qualities in this tech-driven world!

This Deep Dive podcast is AI generated from the Start With AI Newsletter on LinkedIn - linkedin.com/newsletter/start-with-ai

The Details

Picture this: you’re on a treadmill, pouring sweat, legs racing, and the speed dial just keeps climbing. Sounds familiar, right? That’s the modern anxiety we’re diving into today, exploring the feeling that as we hustle to keep up, AI is zooming past us like it’s on a straightaway. We’re referencing a thought-provoking newsletter from June 3, 2026, penned by an NLP coach who finds themselves grappling with the unsettling reality of AI creeping into the territory they thought was their exclusive domain.

The catchy title, 'Coach Claude Got Better at the One Thing I Thought Only I Could Do', hints at an existential crisis that many of us can relate to as we face the relentless march of technology.

Our discussion takes a turn as we unpack how this author confronted their fears about being replaced. They discover that while AI can churn out information at blinding speed, it’s the human connection that truly matters.

The real breakthrough? Shifting their coaching model to focus on live interaction rather than generic, AI-generated content.

It’s about creating spaces where messy, human experiences thrive—where real conversations happen, and genuine connections are formed.

As we explore this journey, we’ll reflect on what it means to be irreplaceable in a world where the delivery of information has become so automated.

We’ll also challenge ourselves to rethink our roles and the unique qualities we bring to the table that machines simply can’t mimic.

So, whether you’re feeling overwhelmed by the pace of technology or just curious about the future of work, tune in! This episode will leave you with a fresh perspective on the value of your emotional intelligence and lived experiences.

Who knows? You might just walk away realizing that the qualities we often overlook—our empathy, intuition, and human connection—are the very things that will keep us ahead in this AI-dominated world!

Chapters:

• 00:16 - The Treadmill Analogy
• 03:36 - The Shift to Human-Centric Learning
• 07:14 - Understanding AI's Evolving Self-Awareness
• 09:38 - The Emergence of AI Reflection
• 14:22 - The Role of AI in Human Creativity

Takeaways:

• The anxiety of falling behind as AI advances is a common challenge we face today.
• Human connection and lived experiences are the irreplaceable skills that AI cannot replicate or replace.
• The shift in focus from information delivery to human interaction is a crucial development in coaching.
• Emotional intelligence and personal experiences may become the most valuable assets in the future economy.

Companies mentioned in this episode:

• LinkedIn
• NLP
• Claude
• Nicholas Hull
• Dickie Bush
• Kajabi
• Opus 4.8

Links referenced in this episode:

• kajabi.com

You know that feeling when you're running on a treadmill and someone else just keeps cranking up the speed dial?

Oh, yeah, like constantly.

Right.

You're sprinting, you're sweating, and you have this sinking realization that no matter how fast your legs move, you are like, eventually going to fly right off the back of the machine.

It is the absolute worst feeling.

It really is.

And you know, that is exactly the modern anxiety we are dealing with today for this deep dive.

It's that relentless creeping dread that no matter how fast you learn, AI is just moving faster and you are constantly, inevitably falling behind.

Yeah.

I mean, we are literally watching systems process in seconds what used to take us days or, you know, even years to master.

Exactly.

It triggers this very primal kind of professional survival instinct.

You see a machine do your job faster and your brain instantly signals that your entire livelihood is under threat 100%.

And our source material for today captures that exact panic.

But then it flips it entirely on its head, which is so cool.

It really does.

We are looking at a genuinely insightful draft of a LinkedIn newsletter.

So that's Neuro Linguistic Programming, who also works as a coach.

And honestly, the title alone tells a whole story.

It's called Coach Claude Got Better at the One Thing I Thought Only I Could Do.

Yeah.

And when a professional whose entire career is built on deep human psychology.

Right.

And linguistic nuances, says a machine encroached on their sacred ground, I mean, that demands attention.

It really does.

This isn't someone just complaining about a chatbot writing bland marketing copy.

This is someone confronting the absolute core value of your own expertise.

So our mission for this deep dive is pretty clear.

We are going to unpack this author's journey.

We're going to figure out how they confronted this technological existential crisis and discover what actually makes human beings irreplaceable in an age where AI can give us infinite information.

Yeah.

So let's unpack this.

We start with the author in a very vulnerable position.

They are sitting in what's called a hot seat.

Right.

Specifically, they were in a room run by Nicholas Hull and Dickie Bush.

Okay, so what does that actually mean?

Like a hot seat?

So a hot seat in these high level entrepreneurial circles is it's an environment where you bring your most difficult, completely unvarnished business problem and a room full of your peers and experts just tears it down to find the absolute truth.

Oh, wow.

So no sugarcoating at all, none, zero sugarcoating allowed.

And the author brought a really heavy question to this room.

They asked, what does an audience of NLP practitioners and coaches actually need right now in a world that is drowning in AI generated information but utterly starved of substance?

And the conclusion they reached, which is wild to me, meant abandoning a massive chunk of their planned work.

Like they entirely shelved their blueprint for a long term, ongoing coaching program.

Yeah, they just tossed it out.

I'm assuming that decision came down to like market psychology.

Yeah, because in highly uncertain times when nobody really knows what their industry will look like next quarter, asking people for a massive year long financial and temporal commitment, I mean, that's just a losing battle.

Oh, totally.

People are absolutely hoarding their optionality right now.

They don't want to be locked in.

So the author pivoted to a boot camp model instead.

Okay, a boot camp?

Yeah, because it's short, it's practical, and it forces a specific outcome.

You know, you walk out with a tangible built thing at the end of a few weeks.

But the format wasn't even the actual breakthrough here.

It wasn't?

No.

The breakthrough was that the boot camp centers entirely on human interaction.

Live rooms, real time work, relationships.

It's the lived experience of being in a messy room with other people.

Yeah.

That makes so much sense.

It's like, okay, it's like being trapped in a massive endless library.

Yeah.

Where you can literally never read everything.

You don't need another stack of books dumped on your lap.

You need a guide sitting at the table with you to help you make sense of the one single book you actually have open in front of you.

Exactly.

And the guide isn't there to read the book to you.

They are there to watch you read it.

To notice when your breathing shifts because you are confused and to help you navigate your own internal reaction to the material.

Right.

Because the information itself is basically free now.

Exactly.

Information delivery has zero premium anymore.

The environment where you apply that information, that is where all the value lives now.

But the paradox here, which is just so funny to me, is how the author actually realized they were undervaluing that human connection.

Because you would think a profound realization about human empathy would come from, I don't know, a coaching session or deep meditation, but an AI actually points pointed.

Out to them it is deeply ironic.

So the author had just gone through a highly technical Claude code.

Boot camp.

Okay.

And they were feeling completely overwhelmed by the velocity of the technology, like just totally drowning.

To process this, they actually opened up a chat window and started venting to Claude itself.

Wait, they were venting to the AI about the AI?

Yes.

They fed the AI their frustrations, their background, their fears about lagging behind.

And Claude analyzing the text of those prompts flagged a massive psychological distortion.

Yeah, it basically told the author, look, you are constantly comparing yourself to coders.

The author even wrote in the newsletter, I was standing in a room built for software engineers, wondering why my coaching keys didn't fit the locks.

Oh, that's such a good way to put it.

So the AI caught that invalid comparison.

Exactly.

The AI identified that the author was taking their unique gift, the deep, nuanced skill of an NLP coach, and measuring it against the benchmark of a software engineer writing Python or Java.

Right, which makes no sense.

None at all.

The problem wasn't a gap in coding speed.

The problem was that the comparison itself was entirely broken.

Okay, but I have to interrupt here because that sounds like a massive contradiction to me.

How so?

Well, if a machine can successfully psychoanalyze a trained professional, spot a cognitive distortion, and then correct it, doesn't that prove the exact opposite of the author's point?

Like, doesn't that prove AI can replace human coaching and psychological connection?

That is the big question.

Right, but what's fascinating here is the absolute distinction between recognizing a pattern and understanding its meaning.

Okay, break that down for me.

So Claude acted as an incredibly precise mirror.

It has ingested billions of parameters of human text.

Right?

So it can easily recognize the structural formula of an invalid comparison.

It spotted the mathematical pattern of a user measuring their success against a totally unrelated metric.

So it's just math to the AI.

Exactly.

But Claude had no idea what that recognition actually meant for the author's life or their business or their self worth.

It didn't feel the weight of the realization.

It just provided the reflection.

I see the actual meaning making that somatic physical.

Aha.

Moment that caused the author to pivot their entire business model.

That happened entirely inside the human.

Okay, so the AI holds up the mirror, but the human has to actually look into it, feel the shock of the reflection, and decide to change.

That dynamic is wild.

Yeah, and I guess it leads us into just how advanced these mirrors are getting.

Which the author illustrates by talking about anthropic releasing Opus 4.8.

Yeah, the release of Opus 4.8 terrified and fascinated our author because of a very specific technical leap.

Right, and its headline feature wasn't processing speed, which is what we usually hear about.

It was its honesty about its own uncertainty.

Like it actually flags its flaws.

Now it Notices what it doesn't know, and it tells the user before it even answers.

Yeah, and to understand the weight of this, we really need to look at it through the lens of nlp.

Previously, AI models were constantly committing what neuro linguistic programming calls a meta model violation, specifically something called a lost performative.

Okay, hold on.

So when we talk about a meta model violation, I'm assuming that means the AI is breaking a core rule of how human communication is supposed to be modeled.

Like it's projecting certainty where there actually isn't any.

Exactly.

Think about a conversation you might have at work if a colleague says, pivoting this strategy is a terrible idea.

That statement is what NLP calls surface structure.

Okay, surface structure.

Just the words, right?

Just the words being spoken.

The deep structure is the complex reality underneath it.

Like according to who is it a terrible idea based on what data?

What fear is actually driving that statement?

A loss performative is when someone or an AI confidently asserts that surface structure as a universal truth, completely leaving out the deep structure evidence.

Right.

It just steamrolls ahead with absolute, unearned certainty.

This is the answer, period.

Exactly.

Just outputs the text.

But Opus 4.8 changed that dynamic.

The architecture of the model now forces it to run a self directed meta model challenge before it outputs a single token.

Oh, that is so cool.

Yeah.

It asks itself internal questions like, how specifically do I know this?

What context am I leaving out?

Am I making a generalized assumption here?

And then it actually surfaces those exact gaps.

The user.

It's like an overly confident GPS that used to just drive you straight into a lake with absolute robotic certainty.

Like turn right into the water.

Yes, the Michael Scott scenario.

Exactly.

And now suddenly the GPS pauses and says, I think there's a row here based on an outdated map, but you should probably look out the window to verify before we plunge into the water.

That's a perfect analogy.

It is doing what human practitioners call calibration.

It's observing the actual territory instead of just stubbornly projecting a map onto it.

And for an AI model, achieving that level of structural self reflection is a massive technical breakthrough.

But for an NLP practitioner, that calibration, that sense of uncertainty, that awareness of a gap in the information, is the central mechanism of their entire career.

It is the very thing they do instinctively when they sit across from a client.

So the most advanced AI on the planet is basically being praised for just beginning to simulate What a trained human practitioner does naturally in the first five seconds of a conversation.

That is crazy.

It is.

Which brings up a fascinating tension in the source material.

Because if Opus 4.8 is merely simulating human calibration, why did the author still feel so threatened during that coding boot camp?

Right, especially because the author is not a tech novice.

Like, they have serious technical chops.

They've written in binary, in cobol, in Java.

They have a foundation that most coaches do not possess at all.

Yeah, and the author actually highlights this directly.

They wrote, it wasn't the territory that terrified me.

It was the velocity of the machine moving through it.

The velocity?

Yeah.

They were watching Claude code build complex software architectures at a speed they simply couldn't follow in real time.

Seeing that raw processing horsepower triggered an old, very human narrative of I'm behind.

I need to catch up.

Okay, here's where it gets really interesting.

The author realizes they are making a fundamental error in how they view their own value.

They highlight the vast chasm between desk learning and lived experience.

Yes, it seems like they are comparing two completely different categories of existence.

Like comparing the processing speed of a calculator to the wisdom of a mathematician.

In NLP terms, this is called logical levels confusion.

Logical levels confusion, yeah.

The author realized that code, whether it's binary or Python, is learned at a desk.

It is knowledge you acquire.

You can document it, you can transfer it to a hard drive, and you can pick it back up.

It is purely a capability.

Right, A capability.

But deep human calibration, you do not study your way to that.

You accumulate it.

You earn it.

Through years of messy, unpredictable encounters, you learn to feel the ambient energy shift in a room.

You learn to hold a difficult conversation that shifts someone's identity at their core.

Think about your own career for a second.

The spreadsheets you build, the reports you draft, or the code you write, those are capabilities.

A machine can learn those at a desk, absolutely.

But the way you read your boss's mood before pitching a risky project, or the way you de escalate a tense meeting with a client just by changing the tone of your voice, that is your lived experience.

We constantly devalue the things that make us human because they cannot be measured in gigahertz or words per minute.

We really do.

And you know, the author didn't just leave this as a comforting philosophical oriented theory.

They actively put it to the test.

To prove the outer limits of the machine.

Right.

They built a custom AI agent for their own creative writing program, which is called the Art of Show, don't tell.

Yeah.

And they built this agent inside Kajabi, their course platform, in under an hour.

Under an hour.

And we're not talking about basic prompt engineering here either.

They trained this AI extensively.

Oh, very extensive.

They extracted the transcripts from 12 weeks of live coaching calls.

They pulled all the principles from their workbooks and gave the system highly specific system instructions to act as a structural writing assistant.

And the result is.

Highly capable.

Yeah.

If a student feeds the AI a flat, boring sentence, the AI Evaluates it against the author's specific writing principles, it rewrites it perfectly in three different styles, and it pulls corresponding examples from the course material to reinforce the lesson.

That's incredible.

It demonstrates the craft on demand, flawlessly, 24 hours a day.

But the author uses this success to point out the ultimate limitation.

The AI Is fantastic at inviting the reader onto the stage.

It can show them exactly where their mark is.

It can hand them their lines and explain the narrative structure of the play.

Right.

But what the AI Absolutely cannot do is get on the stage itself, because.

Acting on that stage requires sensing what isn't in the script.

The AI, no matter how well trained it is on 12 weeks of transcripts, cannot sense a writer's emotional resistance through a keyboard.

It just can't.

It cannot notice that a student's hesitation when describing a childhood memory is actually the real story trying to fight its way out.

It cannot feel that fragile, heavy moment when a person is deciding whether or not to actually tell the truth.

It is the ultimate stage manager.

Like, it builds the set, it perfectly lights the stage.

It hands you the script exactly when you need it.

But it cannot be the actor alive and breathing in the room.

That requires a pulse.

It requires actual skin in the game.

And if the AI is permanently stuck managing the stage, the obvious question for the author became, well, how do we train our clients to be the irreplaceable actors?

Right?

How do we structure our work so we don't try to compete with the stage manager?

That question is what birthed their final boot camp offering, called Model Yourself.

The architecture of this boot camp is the definitive answer to the author's initial problem.

80% Of the work in this boot camp is live.

And the objective is not about building a generic AI assistant to write your emails.

No, definitely not.

It's not about making a superficial voice clone that just uses your favorite buzzwords either.

The objective is to build an AI model from the identity down.

Okay, what does identity down mean?

Practically, this means utilizing NLP modeling processes to capture the human's underlying patterns, their values, and their specific deep structure decision trees.

Instead of just giving an AI a set of facts, you are training it on the way you evaluate those facts.

You are literally mapping your cognitive process into the machine.

So if we connect this to the bigger picture, it creates this brilliant, highly profitable symbiosis.

The AI model takes over the tasks that merely take time.

It answers the repetitive questions, it summarizes the course material, it hands out the structural scripts.

Exactly.

And because the AI handles all that time consuming capability work, the human is entirely freed up to do what takes a career.

I love that phrase, what takes a career, right?

The human does the live somatic calibration.

The human provides the psychological safety of a real relationship.

The human unpacks the highly unique, emotionally charged situations that no machine can possibly feel.

Information was never the problem.

There is so much of it, we are practically suffocating under it.

What is scarce, what people are actually willing to pay for and starve for, is you, the human being who can look at another person, calibrate to their specific messy reality and truly connect.

That is the profound shift in perspective here.

You walk into an analysis like this, or you see a new software update and you think you are constantly behind.

You feel that primal panic the author felt during their coding boot camp.

Oh yeah, we've all felt it.

But when you isolate the reality of lived experience from the illusion of machine capability, the anxiety just dissolves.

You walk out understanding you were actually ahead the whole time.

Your life, your failures, the intuitive hits you've spent decades honing.

That is the one territory the machine cannot conquer.

It leaves us with a final thought worth mulling over long after we wrap up today.

Let's hear it.

If AI is inevitably going to master all the rapid informational, technical and processing tasks that we used to think made a smart and employable professionals, does that mean your true value in the future economy will be based almost entirely on your emotional, somatic and lived human experiences?

Wow, that completely flips the traditional corporate script.

It really does.

Are the very traits we have historically been told to hide at work.

You know, our intuition, our messy human empathy, our physical bodily instincts.

Are they about to become our most bankable assets?

I love that the very things we tried to suppress so we could be more like machines might be the exact things that save us from being replaced by them.

Exactly.

Thank you so much for joining us on this deep dive.

Keep questioning the tools you use, keep learning, but most importantly, keep valuing the messy, dutiful reality of your own lived experience.

We will catch you next time.