Hyper Entrepreneur Dispatch
the most profitable job of 2025 isn’t technical
July 7, 2025
There’s a quiet shift happening across the business world - the kind you only notice if you’ve been through a few of these cycles before.
AI’s suddenly everywhere: in boardrooms, headlines and team meetings.
Business owners feel that pressure to move, adopt fast and stay relevant.
But the problem isn’t access - it’s direction.
Most teams aren’t stuck because they lack tools. They’re stuck because they don’t know what to do with them.
Confusion’s the real bottleneck.
And in that weird gap, between the hype and the actual doing, a new kind of role is starting to emerge.
And no, it’s not a coder, or a futurist, or a LinkedIn prompt designer.
It’s someone a bit more grounded.
A translator. A practical operator who knows how to apply AI to real business problems.
We’re calling them AI Consultants.
It might feel too early, a bit fuzzy, maybe even slightly made up - but that’s how these roles always start.
And here’s your mini roadmap to understanding this new world of AI consultants.
You may choose to become one and sell your services, or use this framework to brush up on your AI skills and bring them into your full time job.
We’ve Seen This Before - Life Coaches, Digital Marketers, Web Devs
Back in the early 2000s, life coaching sounded like a joke.
It wasn’t therapy. Wasn’t academic. No real credentials.
But it gave people something they were quietly starving for - clarity, momentum, and a bit of structure in a world that felt increasingly noisy.
And slowly, coaching moved from fringe to mainstream.
Found its niches.
Built trust.
And became a billion-dollar industry - not because it was shiny, but because it met a rising need in a way nobody else really could.
Same story played out with digital marketing.
In the early days, “digital marketer” barely meant anything.
Some wrote Facebook ads. Others ran Google campaigns, built landing pages, tracked analytics.
Different tools - same job.
They turned vague growth goals into systems that worked.
Then came the DIY platforms such as Wiix. Squarespace.
And people said, that’s it, developers are done.
But the opposite happened.
More people tried to build. More got stuck. More called in help.
What looked like empowerment actually created a wave of frustration.
And that frustration made space for people who could fix it properly.
It’s not just a tech cycle - it’s a behavioural pattern.
AI’s just the next chapter.
What AI Consultants Actually Do
We’ve crossed a new threshold: Claude can build workflows off a single prompt; Make and Zapier can build automations from plain text; CoPilot can literally watch your screen, record what you do, and rebuild it.
The tools are starting to build themselves.
So what’s left?
Judgement.
Context.
Clarity.
Prioritisation.
The best AI consultants I’ve seen - they’re not tool-obsessed.
They walk into mess, ask the right questions, and calmly point to the real bottlenecks in a business.
They don’t guess - they simly translate AI into human-speak.
Just like great digital marketers used to do translate internet marketing.
This isn’t “let’s play with ChatGPT.”
It’s “where’s the inefficiency and how do we fix it properly using AI?”
It’s real change built on solid business logic.
This Isn’t Just a Trend - It’s a Widening Gap
Everyone’s got access to AI now, which means that’s not the edge. The edge is knowing what to do with it.
Right now, we’re seeing a clear divide:
Those who tinker
And those who transform
Some quick stats:
Only 1% of companies are considered “mature” in AI adoption
Less than 5% of SMBs have ever worked with a proper AI consultant
This is the life coach moment.
People are looking at their workflows and they know a lot of what they do could be automated or optimised with AI. But they have no idea how to get there…
Then they start looking for help.
Not a big flashy and generic consulting agency
Just someone who’s an expert in their field and, at the same time, also understands AI.
If you work in healthcare, you want your AI consultant to understand your industry so you don’t have to spend hours explaining it to them.
And this is what makes it incredibly easy for, {{first_name}}, to enter the playing field should you want.
If You’re Thinking “But I’m Not Technical” - Good
Here’s the twist no one really expects: most of the best AI consultants I know aren’t technical.
They’re not engineers.
They’re business operators who understand where the pain lives.
They’ve been inside the bottlenecks, seen the wasted hours, and know exactly where things slow down or fall apart.
They know what slows things down, where the process breaks, and which tasks make teams want to scream.
That’s where the value is.
I’ve already talked about the AI Skills Bridge Method in my previous emails:
Start from what you already know - ops, sales, coaching, HR, marketing, design in your particular niche or industry. (Don’t go after accountants if you’re a nurse - start with a medical field.)
Spot the broken process
Learn how to solve it better, faster or cheaper using AI
Build one working demo (for example, automating customer support for dentists)
Turn it into a repeatable $5-10K offer
The best ones don’t look like McKinsey. They look like you.
Sharp generalists with real business context and a growing AI toolkit.
Where to Begin (Even If You’re Brand New)
If you’re thinking about stepping into this space, the first thing I’d say is - don’t overthink it. Don’t get caught up in branding, or landing pages, or trying to make it all look polished before you’ve got something that actually works.
Start with what you already know.
Pick a niche you understand, maybe that’s ops, marketing, sales, coaching, HR, recruiting. Somewhere you’ve lived. Somewhere you know how the machine works from the inside.
Then, start paying attention to the tasks that quietly suck up time and energy. In our AI Consultant Certification, we call them DREAM tasks:
Dull
Repetitive
Expensive
Annoying
Manual
Every business has them. You’ve probably been dodging or patching them for years.
Find one and fix it using AI. It doesn’t need to be flashy. Doesn’t need to scale. It just needs to work. Even better if you start with your own business - you’ve already got context, and you don’t need anyone’s permission to try (say, automating data population in one of your spreadsheets)
Build one clear before-and-after demo.
Then share it with friends or colleagues in your industry:
Ask:
“Would you be open to testing a few AI ideas inside your business together?”
That one question has opened more doors than any cold email I’ve ever seen. Because most people aren’t looking for theory - they’re looking for help. For something practical. Something that makes life easier.
If you can show that in one conversation, that usually leads to a small project. And if you do good work, that project becomes another.
That’s how this turns into a career.
Not all at once.
But steadily, one result at a time.