The End of Expertise as We Knew It
Why AI, influencers, and a broken change model are forcing practitioners to adapt or disappear
A fully booked calendar should feel like success.
Instead, for many clinicians, counselors, and coaches, it feels like quiet dread.
Same conversations.
Same breakthroughs that don’t hold.
Same clients who “get it” and then don’t do it.
Same emotional exhaustion… paired with the creeping fear that if a few people cancel, the numbers stop working.
At the beginning of 2023, after the collapse of my business Metabolic.com, a close friend and colleague, Dr. Ray Hinish, said something that stopped me cold:
“You’ve spent your career teaching the public. But the people who really need what you know are the practitioners.”
He was right.
And what we both saw, clearly, was this:
The system most of us were trained in is incomplete at best… and broken at worst.
The Big Idea
The coaching, counseling, and clinical industries are trapped in a logic-based change model that assumes insight leads to action.
It doesn’t.
People don’t fail to change because they lack information.
They fail because their identity is structured to resist the very behaviors we prescribe.
And the more we push habits without changing identity, the more we accidentally train people to give up.
The Breakdown
Reason #1: Logic Coaching Is the Wrong Entry Point
Most practitioners were trained in what I call logic coaching.
The assumptions are simple:
If people understand the problem…
If they have the right tools…
If they know what to do…
Then they’ll do it.
Eat this, not that.
Just be disciplined.
Read this book.
Take this supplement.
Try this protocol.
This sounds reasonable. It feels responsible.
It’s also why practitioners watch clients learn… and then not change.
Information does not lead to transformation.
Identity does.
That’s not my philosophy. That’s what I have seen personally across decades of clinical practice. It is also what the research shows clearly.
What Identity Actually Is
Identity isn’t a label.
It’s a structure.
Judgments form stories.
Stories solidify into beliefs.
Beliefs calcify into identity.
Identity becomes the lens through which a person interprets effort, failure, and possibility.
This is the “ABCs of me, baby.”
Who I am.
How the world works.
What’s possible for someone like me.
And most interventions accidentally work against this structure.
Why Habits Backfire… the Habenula Problem
Every time someone attempts a behavior that violates their identity and fails, the brain registers that failure.
The habenula, a region involved in processing disappointment and negative prediction errors, becomes active when effort does not lead to expected reward.
This is associated with reduced motivation to re-engage.
Repeated failed attempts appear to reinforce avoidance and disengagement patterns, especially when effort conflicts with identity expectations.
I call this the “What the hell effect.”
What the hell… it didn’t work.
What the hell… why even try.
Evolutionarily, this makes sense.
If your friend leans down at a watering hole and gets eaten by a crocodile, your brain marks that as a failure to be avoided.
The same circuitry fires when:
A client breaks a fast on day one
Binges after a week of “perfect eating”
Snaps at their partner while reading a communication book
Panics and sells in a market downturn
Habit-level interventions trigger identity-level resistance… and then punish people neurologically for failing.
They snap back to their identity set point.
MUD: Why Identity Gets Stuck
Identity doesn’t form randomly.
It forms through MUD: Misguided Unconscious Decisions.
These are conclusions we made during moments we weren’t equipped to understand:
Childhood
Adolescence
Early adulthood
Or later life events like betrayal, illness, loss, or financial collapse
MUD is not what happened.
MUD is the story we wrote about what happened.
This is not trauma minimization.
This is mechanism.
MUD can be loose like a puddle…
thick like clay…
or solid like cinder block.
And it’s reinforced by emotion, like rebar in concrete.
This is why logic can’t break it.
The Only Order That Works: Rewrite, Rewire, Retrain
You don’t change identity by trying harder.
You change it in sequence.
Rewrite
Access subconscious material and edit the internal narrative through reconsolidation, not erasure.
Rewire
Shift the emotional holding pattern so the new story has a different felt reality.
Retrain
Only now do habits, protocols, and strategies hold.
Most practitioners live entirely in retrain.
Others experiment with rewrite or rewire through psychedelics, EMDR, breathwork, or somatic work… but miss the full sequence or do it out of order.
This sequencing error likely contributes to high relapse and dropout rates across health, behavior, and personal change domains.
Why Practitioners Are Burning Out
The survey you referenced says the same thing I see everywhere:
Emotional exhaustion from stalled impact
Financial stress from feast-or-famine schedules
Fully booked calendars with capped income
Empty calendars with rising anxiety
This isn’t a personal failure.
It’s a structural one-on-one bottleneck, paired with a broken change model.
The Serendipitous Solution: Group-Based Identity Change
Identity is fluid in relationship.
We change faster:
In conversation
In resonance
In witnessed truth
Hearing someone else articulate a story that mirrors your own can permanently alter how you see yourself.
Telling your story out loud, while others are present, changes its emotional charge.
Group-based identity work appears to compound change through empathy, modeling, and emotional contagion effects.
This is why we built the Identity Practice System (IPS) around five elements:
Curriculum – a shared developmental arc
Community – context for identity experimentation
Classes – subconscious access points
Conversation – meaning-making in real time
Compound Coaching – group process with exponential leverage
Ten people or a hundred… delivery time stays nearly the same.
Impact increases.
Burnout decreases.
Income stabilizes.
The Final Threat: Relevance in the Age of AI and Influencers
AI can already:
Write meal plans
Design workouts
Explain supplements
Provide coaching scripts
Influencers can:
Be louder
Be everywhere
Be entertaining enough to override credentials
Logic-based coaching is now commoditized.
The future belongs to:
Teachers
Thought leaders
Humans who can guide identity change
Identity Marketing… the Last Barrier
Most practitioners were trained to:
Stay invisible
Stay private
Stay “professional”
That training is now your collective MUD.
The modern model requires:
Teaching openly
Sharing frameworks
Publishing case stories (ethically anonymized)
Being transparent as a human being
We call this the 4Ts:
Teacher
Thought leader
Testimonials
Transparency
People don’t hire credentials anymore.
They hire resonance.
Closing Thought
Impact.
Income.
Interest.
Those are the three things practitioners said they want.
They are not separate problems.
They are symptoms of a single outdated model.
Change the model… and the rest follows.
PS…If you’re ready to break free of burnout, capped income, and diminishing relevance… and become the kind of practitioner who creates real identity-level change at scale, explore the Next Level Human training ecosystem.
Click HERE: http://nextlevelhuman.com/human-coach
This work future-proofs your practice… and restores why you cared in the first place.
References
Identity, narrative, and behavior change
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Oyserman, D., & Destin, M. (2010). Identity‐based motivation: Implications for intervention. The Counseling Psychologist, 38(7), 1001–1043. https://doi.org/10.1177/0011000010374775
Kreuter, M. W., & Wray, R. J. (2003). Tailored and targeted health communication: Strategies for enhancing information relevance. American Journal of Health Behavior, 27(Suppl 3), S227–S232. https://doi.org/10.5993/AJHB.27.1.s3.6
McAdams, D. P. (2013). The psychological self as actor, agent, and author. Perspectives on Psychological Science, 8(3), 272–295. https://doi.org/10.1177/1745691612464657
Markus, H., & Nurius, P. (1986). Possible selves. American Psychologist, 41(9), 954–969. https://doi.org/10.1037/0003-066X.41.9.954
Logic/information vs deeper mechanisms of change
Miller, W. R., & Rollnick, S. (2013). Motivational interviewing: Helping people change (3rd ed.). Guilford Press.
Rothman, A. J., Sheeran, P., & Wood, W. (2020). Reflective and automatic processes in the initiation and maintenance of dietary change. Annals of Behavioral Medicine, 54(10), 876–884. https://doi.org/10.1093/abm/kaaa019
Kwasnicka, D., Dombrowski, S. U., White, M., & Sniehotta, F. (2016). Theoretical explanations for maintenance of behaviour change: A systematic review of behaviour theories. Health Psychology Review, 10(3), 277–296. https://doi.org/10.1080/17437199.2016.1151372
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The habenula, failure, and loss of motivation
Hikosaka, O. (2010). The habenula: From stress evasion to value-based decision-making. Nature Reviews Neuroscience, 11(7), 503–513. https://doi.org/10.1038/nrn2866
Hu, H. (2016). Reward and aversion. Annual Review of Neuroscience, 39, 297–324. https://doi.org/10.1146/annurev-neuro-070815-014106
Proudfit, G. H., & Hajcak, G. (2017). The neuroscience of punishment and reward: Implications for motivation and behavior. In A. Elliot (Ed.), Advances in motivation science (Vol. 4, pp. 85–130). Academic Press.
Bobinet, K. (2023, November 27). The most powerful behavior controller in your brain (that you’ve never heard of). Forbes. https://www.forbes.com/sites/forbesbooksauthors/
Memory reconsolidation and “rewrite–rewire” mechanisms
Nader, K., Schafe, G. E., & LeDoux, J. E. (2000). Fear memories require protein synthesis in the amygdala for reconsolidation after retrieval. Nature, 406(6797), 722–726. https://doi.org/10.1038/35021052
Schiller, D., Monfils, M. H., Raio, C. M., Johnson, D. C., LeDoux, J. E., & Phelps, E. A. (2010). Preventing the return of fear in humans using reconsolidation update mechanisms. Nature, 463(7277), 49–53. https://doi.org/10.1038/nature08637
Ecker, B., Ticic, R., & Hulley, L. (2012). Unlocking the emotional brain: Eliminating symptoms at their roots using memory reconsolidation. Routledge.
Lane, R. D., Ryan, L., Nadel, L., & Greenberg, L. (2015). Memory reconsolidation, emotional arousal, and the process of change in psychotherapy: New insights from brain science. Behavioral and Brain Sciences, 38, e1. https://doi.org/10.1017/S0140525X14000041
Group‑based change, resonance, and efficiency
Yalom, I. D., & Leszcz, M. (2020). The theory and practice of group psychotherapy (6th ed.). Basic Books.
Burlingame, G. M., Seebeck, J. D., Janis, R. A., Whitcomb, K. E., Hogan, T. P., & Beck, A. (2016). Outcome differences between individual and group formats in the delivery of cognitive–behavioral therapy for depression: A meta-analysis. Group Dynamics: Theory, Research, and Practice, 20(3), 122–136. https://doi.org/10.1037/gdn0000049
Kampa, M., & Kivlighan, D. M. (2020). Therapeutic factors and group climate: A meta-analysis of the group therapy literature. Psychotherapy, 57(2), 180–193. https://doi.org/10.1037/pst0000266
Whittingham, M., & Burlingame, G. M. (2023). Mental health care equity and access: A group therapy solution. Psychotherapy, 60(4), 307–316. https://doi.org/10.1037/pst0000506
Practitioner burnout, 1:1 caseloads, and emotional exhaustion
Maslach, C., & Leiter, M. P. (2016). Understanding the burnout experience: Recent research and its implications for psychiatry. World Psychiatry, 15(2), 103–111. https://doi.org/10.1002/wps.20311
Rupert, P. A., & Dorociak, K. E. (2019). Professional self-care and wellbeing in the United States. In R. G. Delaney (Ed.), The Oxford handbook of professional psychological ethics (pp. 349–364). Oxford University Press.
Simionato, G., & Simpson, S. (2018). Personal risk factors associated with burnout among psychotherapists: A systematic review of the literature. Journal of Clinical Psychology, 74(9), 1431–1456. https://doi.org/10.1002/jclp.22615
Commoditization, AI, and the changing role of coaches/therapists
Topol, E. (2019). Deep medicine: How artificial intelligence can make healthcare human again. Basic Books.
Luxton, D. D. (2014). Recommendations for the ethical use and design of artificial intelligent care providers. Artificial Intelligence in Medicine, 62(1), 1–10. https://doi.org/10.1016/j.artmed.2014.06.004
Spot on!!!