Human or Bot? It Matters a Lot! A Tale of Multiple Intelligentsias
This post explores the growing role of AI tools in coaching and daily life, with particular attention to the risks and opportunities for adults with ADHD and high-achieving professionals. Drawing on current research in AI coaching efficacy, neurodiversity, and the neuroscience of empathy, it argues that while AI excels at logistical and practical support, it cannot replicate the advanced human capacities required for transformational coaching. These include listening for the lies clients tell themselves, recognizing neurodivergent patterns that fall outside neurotypical datasets, and co-creating new narratives rooted in the client’s own strengths and agency. The post introduces Angus Fletcher’s framework of Primal Intelligence, including intuition, imagination, emotion, and commonsense, as distinctly human capacities that AI was never built to access. Through four client stories, it illustrates when AI serves as a valuable tool, when human coaching is essential, and how the two can work together for the best outcomes. The post concludes with reflection questions inviting readers to examine their own relationship with AI and their trust in their own intelligence.
When the opportunity to move to a new house appeared, Sofia came to our session wanting clarity on the difference between “want to move” and “need to move.” It was grander than anything her family had lived in before, with a vast yard and a pool. As we talked, she noticed that her brain was telling her a story of “I am not worthy.”
One question I asked reminded her of the best vacation she had ever had: a family trip to the Galapagos. She had made it happen because it was on her bucket list. Sofia had survived cancer and lived by a few mottos: “Life is short!” “Don’t take anything for granted!”
The aha moment came: “This house is like the Galapagos.” She opened up to receiving the house as a gift and an opportunity to seize.
A few days later, she texted me: “This morning I had a chat with Claude AI, and he said:
‘A casual, unpretentious person living in a prominent house can actually be quite charming. The house makes a statement, but you get to contradict it with how you decorate, how you host, how you live in it. Over time, people’s impression of a home is shaped more by the people inside it than the facade outside.’”
She continued, “It’s my path to struggle with the contradictions. Might as well struggle from a pool.”
Humor is one of Sofia’s strengths, and I laughed out loud with her. She got it. But AI didn’t—not really. Claude told her what to think. It made it about what other people think. It was not about what she thought of herself. It was not about agency and seizing an opportunity to make it her own. It didn’t trust her enough to ask.
What AI Gets Right
Every day, new AI tools appear to facilitate our lives. They are available when your brain will not quiet down. They do not judge. They do not sigh. They do not make you feel embarrassed about asking the same question for the fifth time. For a Turbo Thinker® who has spent a lifetime feeling like a square peg in a round hole, that kind of shame-free space is genuinely valuable.
Human ADHD coaches offer what AI cannot: the ability to hear the lie beneath the story, co-create transformative narratives, and trust clients to find their own answers through their own Primal Intelligence.
AI is logistical and good on a practical level. It excels at tasks such as goal setting, planning, habit tracking, progress monitoring, and reminders. It can hold a lot of information and reflect it back. Sometimes that is exactly what we need. Other times, we need a quick fact check so our brain can let go and move on. (What was the name of the drummer for the Bangles? The one with the long hair—or was it the Go-Go’s?)
What does AI do well? How do we know what it cannot do, at least for now? And, as Turbo Thinkers®, how do we find out without adding to the problem we are trying to solve?
The Escape Hatch
When the friction shows up—whether it is genuinely hard or just not quite interesting enough to feel easy—the appeal of a quick AI conversation is powerful. It is right there. It pays attention. It responds instantly. It never has a bad day.
But there is something worth examining in that impulse. When we reach for AI in a difficult moment, are we simply avoiding the discomfort of thinking? Yes, it can be a wonderful ADHD accommodation, much like a microwave aids us in the kitchen. But what happens if you live only on nuked, prepackaged, processed food?
Turbo Thinkers® are creative, resourceful, and deeply capable. We are also, by the nature of our beautifully wired brains, vulnerable to the seductive promise of a fast solution. The problem is that AI can only offer you what has worked for other people. It draws from a vast pool of human experience—most of it not yours, none of it your brain.
It can reflect patterns. It cannot reflect you.
The very thing that makes AI appealing in a hard moment—no vulnerability required, no risk of being truly seen—is exactly what stands between a Turbo Thinker® and what we want most: agency, our own answer, our own next step.
You cannot outsource your way to trusting yourself.
The Neurodiversity Blind Spot
AI is trained on the human collective, which is to say, the majority. It draws from an enormous dataset of human behavior, human language, human patterns. And the majority of humans are not neurodivergent.
This matters more than it might seem. When a Turbo Thinker® brings a problem to an AI tool, the response they receive is shaped by what has worked for most people: standard time management strategies, conventional productivity frameworks, neurotypical logic applied to a brain that does not run on neurotypical logic.
The advice is not wrong, exactly. It is just not written for you.
And for an ADHD brain that has already spent decades being measured against a standard it was never designed to meet, that gap is not a small thing. It can quietly reinforce the story that you are the problem—that you should be able to do it the way everyone else does, that if the strategy isn’t working, the failure is yours.
A human ADHD coach knows otherwise. The strategy might be the problem. The framing might be the problem. The question itself might need rewriting.
What the Research Says
The conversation about AI and coaching is no longer speculative. At this moment, some AI coaching tools can meet the standards of what the ICF defines as ACC-level coaching. What they cannot yet replicate are the advanced human capacities required at the PCC and MCC levels: nuanced empathy, creative adaptability, and the genuine presence that makes transformational coaching possible.
And there is a meaningful difference between the empathy AI offers and the empathy a human coach brings. AI empathy is cognitive—it recognizes the language of distress and responds appropriately. Human empathy is felt. It lives in the body, in the pause before a response, in the decision to say nothing at all and simply stay.
Cultural context adds another layer. AI models trained primarily on Western-centric data may unintentionally encode cultural biases, limiting their accuracy and fairness across diverse populations. And then there is humor, one of the most underrated tools in a coach’s repertoire. A well-timed laugh can dissolve a story that logic could not touch. AI can approximate humor. It cannot share it with you.
Tools designed to alleviate loneliness may paradoxically intensify it by satisfying social needs just enough to prevent us from seeking deeper connection.
A recent look at coaching trends for 2026 points to three converging forces: the rise of hybrid coaching models that combine AI and human sessions, the growth of specialized niche coaching including neurodivergent coaching, and credentials becoming the baseline expectation rather than a differentiator. By 2028, AI will likely handle between-session support, progress tracking, and routine skill practice, while human coaches concentrate on the work requiring real psychological depth and genuine transformation. AI coaching and therapy apps designed specifically for ADHD are emerging and show real promise, particularly for those who cannot access individual coaching or who want additional support between sessions.
For credentialed ADHD coaches, this is not a forecast to fear. It is a map of exactly where we are headed—and why the work we do is only becoming more essential.
What a Human ADHD Coach Hears That AI Cannot
Marcus came to our session feeling behind at work and excluded from conversations among colleagues. He felt unwanted, useless, and disregarded. The story followed him home and into his marriage.
He had talked it through with AI, and AI had listened. It reflected his story back to him, validated his experience, and left him exactly where he started: inside a narrative that felt completely true and hopeless.
But was it?
What AI could not hear was the lie underneath the story.
“How true is that?” I wondered.
He paused. “I guess it’s an assumption,” he said.
When I asked him what he was doing well, he paused—and then found an answer. When I asked what strengths he was bringing to his work every day, he paused again—and found an answer. And then another.
He found a body of evidence that turned the story on its head. And when he examined what was truly getting in his way, it was not him. It was technical roadblocks—concrete and solvable—that had nothing to do with his capability or his worth.
He left the session with a plan. Not my plan—his. A way to communicate proactively when he hit a technical wall, so the right people could solve it and he could pivot without guilt or shame.
That is what an ADHD coach listens for: not just what a client says, but what they believe that isn’t true. The pauses. The inflection. The story underneath the story. A new and better story.
AI can reflect your words back to you. It cannot hear what you are not saying.
Agency Is the Point
Turbo Thinkers® do not actually want advice. We are high achievers, driven by our passions, and we come to coaching with real problems that need real solutions. But what we are after is not someone—or something—telling us what to do next.
We want to figure it out ourselves, on our own terms, in our own way.
Because a solution that comes from someone else—even a very good someone else, even a very sophisticated algorithm trained on a million coaching conversations—does not build the one thing a Turbo Thinker® needs most: trust in their own mind.
Reese hadn’t slept. Not really. They had spent hours the night before talking to ChatGPT, circling the same thought—the way Turbo Thinker® brains do when something unresolved takes up residence and refuses to leave. By morning, they had a screen full of responses and the same question they started with.
“I dug myself deeper into the hole of my rumination,” Reese told me. “What I should have done was put the phone across the room and picked up my book.”
They already knew what they needed: sleep—and the quiet trust that their brain, given the chance, would do what it always does—work its magic overnight and wake up with an answer. The book, something completely unrelated to the problem, was the bridge: a way to let their eyes grow heavy, their mind soften, and the answer find its way up on its own.
Instead, they doubted it—and reached for AI.
How About Both/And?
Megan came to our session overwhelmed. She would be away from her home office for the next two weeks, with back-to-back trips—both work and vacation. She was already behind with unread emails and projects, with no clear sense of what would come in during her absence or what the trips themselves might bring.
At a glance, it appeared like a time management and organization problem. However, she defined the objective of the session as how to be okay with the unknown.
In talking it out, a body of evidence began to emerge. She recited a long track record of walking into complicated situations and finding her way through. It is actually why she is now given the most complex clients and the thorniest problems. Diving in and dealing with whatever arises is not her liability—it is her greatest strength.
With newfound confidence, she created a plan to organize her tasks. And then, in the last few minutes of our session, she remembered that her department had just been granted access to a new AI tool, Copilot. She used it in real time to help sort and prioritize her emails, with suggested replies when possible.
Wowed, she vowed to play with it further after our session. Her anxiety reduced, she looked forward to her trips.
The coaching session gave Megan back her confidence. She created the plan. The AI tool facilitated the execution of her plan. Neither one alone would have done what both did together.
AI is not the enemy. It is a tool, and like any tool, its value depends entirely on how and when we use it.
In a live human interaction, we can listen for the lie. We can co-create a new, more useful yet equally powerful story. We can hold space so that “I am not worthy” and “I am not good enough” become the very place where clients discover they are so much more than they had ever imagined possible.
No algorithm can replicate this. Not yet. Maybe not ever.
Angus Fletcher, professor of story science at Ohio State, calls it Primal Intelligence: sources of wisdom that humans have carried since long before any algorithm existed. Intuition sparks plans. Imagination shapes plans. Emotion sustains plans. Commonsense selects plans.
AI cannot access these capacities—not because it hasn’t tried, but because it was never built that way.
This capacity becomes essential as AI increasingly handles computational tasks. While machines master logical thinking and data processing, humans excel at narrative reasoning, meaning-making, and adapting to plot twists. These are what Fletcher calls our primal intelligence: ancient human capacities for story-thinking that AI cannot replicate.
The very brain you have been managing, accommodating, and sometimes apologizing for is the one running on Primal Intelligence. A human ADHD coach does not just possess these capacities—we are trained to see them in you, name them, and help you trust them.
So choose wisely. Is it either/or? Could it be both/and? What are you reaching for—and why? What can a tool offer, and what can it not?
When the discomfort shows up, when the problem feels too tangled or too tender to solve alone, who—or what—is best equipped to help you find your own way through?
And as for what AI will look like in another year, another five? Even the most sophisticated Turbo Thinker® brain, convinced of its telepathic tendencies and fortune-telling instincts, cannot say for certain.
This field is moving fast.
It is a fascinating time to be human.
It is a particularly exciting time to be a Turbo Thinker®.
Questions for Reflection
What is a problem you have been outsourcing that your own brain might already know how to solve?
How do you know when to choose an AI conversation partner or a qualified human thinking partner?
What would change if you treated your Primal Intelligence as a strength rather than a liability?
How can you benefit from multiple intelligentsias?