The AI skill gap is the biggest wealth opportunity of the last 20 years.
The majority of people aren't using AI at all. A decent chunk are using it to be more productive. And a small group figured out how to use it to make money.
That last group isn't smarter than you, and they're not more technical.
They just built the right skills at the right time and positioned themselves in front of a market that is desperate to pay for them.
The window to capitalize is open right now, but it won't stay open forever.
Fair warning: this isn't a generic AI skills list. These are the exact skills I'm watching multimillionaires in my personal network adopt right now, and the same ones I'm pushing every member of my team to build.
Let's get into it.
Most people pick one AI tool and treat AI like an enhanced Google Search, resulting in generic outputs.
If you're looking to make money with AI, that's actually a good thing because YOU become the solution to their generic output problem while simultaneously unlocking productivity.
Tool stacking is the skill of knowing which AI tool to use for which task, and more importantly, how to chain tools together so the output of one feeds directly into the next. The result is a workflow that's faster, smarter, and more accurate than anything a single AI tool could produce on its own.
Here's a real example: Content creator workflow
You're repurposing a YouTube video into a full content suite. You drop the full transcript into NotebookLM to extract the key insights. You feed those insights into a Claude Skill to write a long-form article. You feed the article to Canva to create viral infographics.
Content Creator Workflow
If you've been on 𝕏 long enough, you'll connect the dots that this is the exact workflow many creators are using right now.
The reason this skill makes money is simple. Businesses are drowning in AI tools they don't know how to use together. The person who can walk in, look at their stack, and build a connected system that actually produces results is worth serious money - I'm actively hiring people like this in my AI company.
Some advice: Don't think of this as simply becoming a tool expert. This is system design. You need to develop the sub-skills for analyzing current systems (what works & what doesn't), and only THEN can you implement tools as solutions.
Because of AI, information is no longer a moat.