I had a coach on the podcast earlier this year who’s spent twenty years inside the tech and startup world. Fiona Siseman. She knows that ecosystem the way you know a neighborhood you’ve lived in your whole life. Every founder archetype, every funding cycle, every way a Series B round changes how a CEO shows up in a room.
I asked her, more or less, how long the coaching she’s built her career on will keep working the way it always has. Here’s what she said:
“I am very familiar with the coaching people in tech in cooperation startups ecosystems that I’ve been in for 20 years that are now changing with AI, so how long will that be true? I don’t know. I do have suspicions. I’m not going to say opinions, but I have suspicions.”
Twenty years of expertise, and she’s not sure the ground under it still holds.
She’s not alone. And she’s not the only one who’s noticed.
The Industry Is Splitting, and Coaches Feel It Before They Can Name It
AI is changing coaching fastest in the niches most exposed to it (tech, startups, engineering). Coaches who built a career inside those ecosystems are the ones feeling the ground move first. That’s not a prediction. It’s already happening.
I heard the same shift described from the other side of the table. Louise, a potential client, not a coach, told me this on a call:
“One thing is with AI and all the things going on in the world, coaching has really changed over the last ten, even in the last ten years, it’s really changed. So, it’s very interesting.”
Ten years, from someone shopping for a coach, not selling one. Two people, two completely different seats, pointing at the same thing.
The coaching industry used to move slowly. Certification bodies, methodology debates, the occasional platform shift. Now the niches most tied to fast-moving industries are getting rewired in real time, and the coaches inside them are the first to feel the volatility.
If your client base sits in tech, startups, or corporate engineering, you’re not imagining it. The world you built your expertise around is genuinely moving faster than it used to.
The Instinct Is to Retreat. That’s the Wrong Move.
When your niche starts shifting under you, the instinct is to dig in. Wait it out. Tell yourself the fundamentals of coaching never change, so neither should you.
I get the instinct. I don’t think it’s the right one.
The coaches who are going to struggle over the next few years aren’t the ones using AI. They’re the ones treating it like weather, something to survive until it passes. It’s not passing. And retreating from it doesn’t protect your practice. It just means you’ll be the last to adapt, in a market where your clients are adapting weekly.
The better move isn’t retreat and it isn’t blind adoption either. It’s building bridges, not bunkers, between the expertise you already have and the reality your clients are actually living in.
What that actually means, in practice, starts with what twenty years of coaching a niche actually builds in a person.
What Twenty Years Actually Built (and Why It Doesn’t Automate)
Fiona didn’t spend two decades memorizing facts about the tech world. She spent it learning to read a founder in crisis, knowing when to sit in the ambiguity instead of rushing to fix it, and catching the thing they weren’t saying but needed her to hear anyway.
That read is pattern-matched across hundreds of founders in crisis, sharp enough to know which question to ask someone who just lost their biggest client, or which silence to leave alone when a CEO is deciding whether to trust you with something real. Tools turn over every eighteen months. That skill compounds instead.
That’s the part of the job that doesn’t automate. It’s also the part most coaches spend the least time actively sharpening, because for twenty years the niche itself did a lot of the work. Knowing the ecosystem cold was the differentiator. You didn’t have to think as hard about the human read, because your industry knowledge already got you in the room.
That’s changing. The niche knowledge is getting commoditized faster than the human read ever will be. Which means the read isn’t a nice-to-have anymore. It’s the whole business.
The Hidden Tax of Waiting to Figure This Out
Nobody’s putting a number on this yet, so let’s do it.
Coaches who keep marketing themselves purely on niche expertise, “I know tech,” “I know startups,” “I know engineering culture,” are competing on a claim that’s getting weaker every quarter. A founder can get a competent first pass on tech-ecosystem context from an AI tool in under a minute. That used to take a coaching session.
If your positioning still leads with domain knowledge instead of the judgment you bring to that domain, you’re one AI product update away from a client wondering out loud why they’re paying you for the part a tool now does for free.
The coaches who wait to sort this out lose ground in three ways. First, pricing pressure: clients start benchmarking your session against what a $20-a-month tool already gave them. Second, referral erosion: the story that used to get you referred, “she really knows this world,” gets thinner every time a client’s own AI tool knows it too. Third, positioning drift: without a clear answer to “what do you bring that AI can’t,” you default to vague language, and vague language doesn’t get chosen in a crowded niche.
Conservatively, that’s one to three lost engagements a year for a coach who doesn’t update their positioning. At $10,000 to $40,000 per engagement, that’s real money sitting on a decision most coaches haven’t made yet, not because they can’t, but because nobody’s forced the question.
Building the Bridge: What to Actually Do
This isn’t about becoming an AI expert. It’s about being honest with yourself about which part of your value was always going to hold, and building your practice around that part on purpose instead of by accident.
Audit your positioning. Pull up your bio, your website, your intro pitch. Count how many times you lead with domain knowledge versus judgment, pattern recognition, or the human read. If domain knowledge is doing most of the work, that’s your first fix.
Name the read, specifically. Not “I have great intuition.” Something closer to what Fiona actually has: two decades of pattern-matching across founders in crisis, the ability to know which question unlocks a stuck conversation. Write down three moments from your own practice where the value you delivered had nothing to do with knowing the industry and everything to do with knowing the person.
Use AI for the parts that were never your differentiator. Session notes, research synthesis, prep work, a first-pass read on a client’s industry context. That was overhead dressed up as expertise. Free it up, and you get more hours for the part that actually needs you in the room.
Say the quiet part to your clients. If you’re feeling what Fiona named, so are your clients, from the other side. Louise put it plainly: coaching has changed a lot in ten years, and she noticed before she’d hired anyone. Naming that directly, that you see the shift too and you’ve already adjusted for it, builds more trust than pretending nothing’s different.
I don’t have this fully solved either. Nobody does yet. But the coaches who are going to be fine in three years are the ones building toward this now, not the ones hoping the ground stops moving.
Old Model vs. Bridge Model
| Niche-Led Coaching (Old Model) | Bridge Coaching (What’s Next) | |
|---|---|---|
| Core pitch | ”I know your industry" | "I know how to read you inside your industry” |
| What AI threatens | Domain knowledge, frameworks, research | Nothing directly |
| Where time goes | Staying current on industry news and trends | Sharpening pattern recognition across clients |
| Client relationship | Transactional expertise exchange | Trust built on judgment under ambiguity |
| Pricing exposure | High, competes with $20/mo tools | Lower, judgment doesn’t commoditize |
Frequently Asked Questions
Will AI replace executive coaches? Not the parts of coaching that depend on human judgment and trust. AI is already better than most coaches at delivering frameworks, remembering details, and prompting accountability. It cannot replace the pattern-matched read a coach builds over years, knowing when to push, when to hold, and what someone isn’t saying.
How is AI changing the coaching industry right now? Fastest in niches tied to fast-moving industries like tech, startups, and corporate engineering. Coaches whose expertise centers on domain knowledge of these ecosystems are seeing that knowledge get commoditized quickly, while the human judgment layer of coaching remains largely untouched.
Should coaches avoid using AI to protect their practice? No. Avoiding AI doesn’t protect a coaching practice, it just delays the coach’s own adaptation while clients keep adapting around them. The better move is using AI for the parts of the job that were never the real differentiator, freeing up time to sharpen the human judgment that is.
What should a coach do if their niche feels unstable because of AI? Start by auditing your own positioning. If your pitch leads with industry knowledge instead of judgment or pattern recognition, that’s the exposure. Rebuild your positioning around the specific read you’ve developed with real clients, and use AI to handle the overhead that was dressed up as expertise.
What actually stays valuable in coaching as AI improves? Judgment under ambiguity, knowing what a client isn’t saying, trust built session over session. These compound with experience and don’t get replaced by a tool update. Domain knowledge and frameworks are increasingly available on demand; the read a coach brings to a real conversation isn’t.
The Next Step
If you’re feeling what Fiona named, that suspicion that the ground under your niche isn’t as stable as it used to be, start by looking at what part of your practice was never going to depend on AI in the first place, and whether you’re building around it on purpose.
A 30-minute CoachOps Audit will show you exactly where your positioning still leans on things getting commoditized, and where the actual, defensible value in your practice lives. No generic AI-anxiety advice. Just a clear look at where you stand and what to build next.
David Chung is the founder of KyberFive and CoachOps. He has spent twelve years inside the coaching industry, helping build the operational and marketing infrastructure for coaches and coaching organizations. He works as an Operating Partner for high-ticket coaches who want to build sustainable practices without the administrative chaos.