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Top 6 Most Profitable AI Skills
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Trying to build a career around artificial intelligence?
If so, today’s issue is for you.
When ChatGPT went viral in late 2022, you could say “AI” and everybody automatically knew you were referring to ChatGPT.
But as we approach 2026, things have changed.
Say you work with “AI” today and that could mean you make videos with VEO-3, code using Cursor, or work with a niche-specific AI the public doesn’t know about.
Which brings up an important point: As artificial intelligence goes mainstream, identifying your niche has become more important than ever.
“AI” is Not a Niche
As an example, while many people refer to themselves as “Digital Marketers,” nobody actually does digital marketing. Why? Because it’s an all-encompassing term that covers dozens of practices.

Search engine optimization. Pay-per-click advertising. Content marketing. Organic YouTube. TikTok ads. And a couple dozen more.
And because so many sub-niches exist, it’s impossible for any one company (let alone person) to specialize in all of them.
More important, the people/agencies who’ve made the most profit over the past 25 years are the ones who became experts in one specific area. The men, women, and agencies who became world-class at copywriting, Facebook ads, CRO for SaaS, etc.
And when we look to the future, it’s clear the same pattern will play out with regard to AI. There are simply too many niche skills for any one person to become an expert in all of them.
So in today’s issue, we’ll cover the top six sub-skills you can specialize in to build a high-profit career in the field of artificial intelligence.
*This is Part I in a Three-Part Series, with Part II coming later this week.
#1 - Advanced Prompting
Straight up: 99.99% of people do not take prompting seriously enough.
Every smart phone owner on Earth now has access to one of the most powerful technologies ever, yet most people take it for granted.
They write 1-2 sentence prompts and then wonder why the output they get back is generic slop. Point blank, when it comes to generative AI:
“What you put in is what you get out.”
As an example, KPMG - one of the Big Four accounting firms - went viral a few weeks ago for announcing they’d written a 100-page prompt.

To the average user, such a long prompt sounds insane.
But for a company using the Enterprise version of ChatGPT, combining that type of prompt with the right data helped them turn a process that normally takes two weeks into one that can be completed in a single day.
And that type of time savings is something large companies will pay big money for.
Sure, you won’t need a multi-page prompt if all you’re asking for is a chicken nuggets recipe. But as more and more businesses laser in on legitimate use cases for AI, advanced prompting will prove to be a highly profitable skill.
#2 - Vibe Coding
This is a controversial one.
On the one hand, some programmers have said it’s so hard to get AI to fix important bugs that today’s vibe coding tools are basically unusable.

At the same time, I’ve also read stories of programmers becoming so accustomed to using AI that when they try to go back to coding by hand, it breaks their brain.
They literally can’t do it anymore. It’s too painful.
Either way, here’s what I do know:

Two tweets. Same week. Two totally contrasting opinions.
Similar to how ChatGPT keeps getting better with every iteration, the same will be said for today’s vibe coding tools.
Even better, it’s possible the vibe coding tool of the future - the one that makes building perfect apps as easy as writing an email - hasn’t even been invented yet.
So, while AI may kill off a lot of software engineer jobs, the need for software itself will continue growing. In fact, there are thousands (if not millions) of ways society could benefit from niche SaaS apps that solve highly specific pain points.

But because building software the old way was too expensive, and required too much specialized knowledge, most people never turned their ideas into usable apps.
The proof things will eventually head this direction: Websites.
In the past, you had to pay tons of money to a “coder” (that’s what we called them in the 90s and early 2000s LOL) to build a website from scratch. And because of that, businesses either didn’t launch websites, or would launch them but never update them (given how expensive and time-consuming it would be).
Fast forward to today and your options for building a website are near unlimited.
You can buy a domain for $0.99, install WordPress for free via your cPanel, and leverage a free, pre-built template to launch a business website.
Not to mention all the low-cost, drag-and-drop website builders out there.

Yet even with all those free and low-cost tools, professional website developers still command $5,000 to $50,000+ for S Tier, custom builds (and at the Enterprise level they still pay well over $1M for Fortune 500 level website projects).
And guess what?
The same EXACT thing is going to happen with vibe coding.
Small businesses on a budget will vibe code low-quality apps themselves (similar to how many small businesses build their own low-quality websites).
Bigger companies with larger budgets, however, will still outsource their app development. Except instead of hiring someone to build it from zero, they’ll hire a vibe coder who can get the project done 10x faster for 80% cheaper.

Meaning, if you learn how to build legitimate, secure apps using vibe coding - and position and market yourself properly - you can be the one who captures their business.
The proof?
Today’s vibe coding tools aren’t even that good, and I’m already seeing people on Fiverr offering vibe-coded apps as a service (VCaaS). So if they’re making sales from it today, imagine what the industry will look like in 12-24 months.

That’s it for Part I.
If you enjoyed this, make sure to stay tuned for Parts II and III later this week.
And if you’re interested in learning about how to use advanced prompting for legitimate business use cases…
Make sure to follow me on X…
And join Sentient’s brand-new AI Automations members community (it’s free : )
Catch you next time,
Louis & Ivan
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