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Top 6 Most Profitable AI Skills

Top 6 Most Profitable AI Skills

Part II

September 12, 2025

If you saw our last issue, you know we’re in the middle of a 3 Part series dedicated to highlighting the most profitable AI sub-skills to learn.

If you didn’t see it, search the phrase “Top 6 Most Profitable AI Skills” in your email inbox to see Part I (in which we discussed Advanced Prompting and Vibe Coding).

In today’s Part II issue, we’ll cover two additional sub-skills you can specialize in to build a high-profit career in the field of artificial intelligence.

*This is Part II in a Three-Part Series, with the final Part III coming later this week.

#3 - AI Automation

If you were involved in online business in the late 2010s, odds are you remember Zapier.

If not, Zapier is a platform that allows you to move data between software platforms that don’t normally integrate with one another. For example, taking the email of someone who paid you via Stripe and automatically adding them to a sequence in your Mailchimp email marketing system.

In the past, these automations were nothing but glorified data movers. Mainly because, unless you were an advanced programmer, there was no way to modify the information that flowed from one software to the next.

You either sent it verbatim or you didn’t send it at all.

With AI, however, the automation game has changed.

Thanks to API connections, we can now run AI prompts in the middle of an automation. Which is a revolutionary development. Why?

Because it allows us to analyze, add, remove, manipulate, and create data/information as it flows from one source to another.

To give you a dead-simple example, I currently have an automation that takes the name and email address of anybody who signs up to our free community. The only problem is, some people submit their full names, usernames, etc. when signing up.

Our email software, however, only accepts first names. So what did I do?

I built an automation that leverages ChatGPT to analyze the person’s first name based on their submission. For example, even if they didn’t submit a name or username, if ChatGPT sees their email is [email protected], it’s smart enough to identify that their first name is Peter.

Which, in turn, helps to ensure the information in our database is clean and up-to-date (while also helping improve our Open Rates).

This is an extremely basic example, but hopefully you get the point.

From automating follow-up emails based on what somebody purchased, to using ChatGPT Image to analyze handwritten forms and convert them into consistently formatted PDF documents, there are countless ways you can help businesses improve their systems and processes with AI automation.

*In my experience, Reddit contains the best examples of beginners selling automations to small businesses. YouTube has good technical information, but the majority of “automation business” content there is designed to get you to buy people’s courses or coaching programs.

With that said, understand all this stuff you hear about No Code is 99% BS.

While it’s true platforms like Make.com and n8n offer “no code” solutions, in reality, if you can’t code, your ability to use these platforms will be severly limited.

At a bare minimum, you’ll need to understand the basics of JSON (and HTML if you plan on using web scrapers). So if you’re not super technical and the idea of learning beginner-level “coding” fills you with dread, stay away from this one.

#4 - Image Gen / Image Editing

There are four categories of super successful YouTube channels (ignoring some super technical standouts):

Industry news
Automation
Vibe Coding
Image / Video Gen

I’ll leave video for the next email as the use case is very different from image gen.

What you have to understand about using images is that hiring a designer, giving them instructions, and waiting for them to submit a draft is a slow and costly process.

Especially for solopreneurs who can’t afford designers, don’t understand graphic design themselves, and/or hate the idea of outsourcing and having to wait on someone.

At the same time, large companies that spend big money on B2C ads can burn through 250+ creatives per week. And paying designers for that much work gets expensive fast.

Point being, it doesn’t matter if we’re talking about solopreneurs or 9-figure eCom brands: Getting high-quality images for content and promotion campaigns is a huge pain point for a variety of different businesses.

And any time you can use AI to solve a costly and painful problem for companies with a budget, you’ve got a business idea on your hands.

In terms of platforms, Google’s Nano Banana seems to be the industry leader right now. Which is great for those of you learning, as there are thousands of Nano Banana tutorials popping up all over YouTube right now.

With that said, similar to how anyone who wants to do automation will need to learn the basics of JSON, you’ll have an easier time doing image stuff if you already understand the basics of photo editing and/or photography.

Fortunately, learning the basics of Photoshop functions (so you can tell the AI how to edit the image), and photography (camera aperture, etc), is dramatically easier than learning how to code.

Especially as it relates to being able to ask ChatGPT questions using natural language (versus automation, where you have to speak the language of JSON to get legitimately helpful answers to your questions).

That’s it for Part II.

If you enjoyed this, make sure to stay tuned for Part III this weekend.

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 : )