9 AI Skills You MUST Have to Become Rich in 2026
For people who want to seriously monetize AI in 2026 and get clarity on the foundational skills worth building, that won't be worthless tomorrow.
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TLDR… here are the 9 AI skills that actually make you money in 2026: ask AI first, verify its output, give it rich context, augment your experts instead of skipping them, train it like a new hire, build a feedback loop, write SOPs, connect AI agents like Claude Connectors to your tools, and apply AI to the business you already have instead of starting an AI startup.
The people getting rich from AI right now are NOT the smartest.
They’re the ones with better foundational skills.
You don’t need to be technical.
You don’t need to build a product.
But you DO need to augment yourself AND your team… use AI to become 10x more valuable, not to replace yourself.
AI agents are here NOW. Not coming. Here.
1 person can do the work of an entire team.
But the window is closing.
So here are the 9 skills to win with AI, starting with the ONE skill most people skip.
Follow along with the full video here:
Who this is for:
People who want to monetize AI in 2026, NOT play around.
You’re not technical, you don’t want to build a product, and you’re drowning in AI content with no idea where to start.
1. Make “Ask AI First” Your Default Reaction
Something breaks. You’re stuck.
What do you do?
Most people Google it. Or text a friend. Or sit there frustrated.
Or pay $$$$ for some guru.
The skill is boring and almost nobody does it: ask AI FIRST.
Before Google. Before texting anyone. Before feeling stuck.
I see it every day. People drop a question in my comments… a question Claude would’ve answered in 30 seconds.
This sounds dumb simple. It IS. That’s exactly why it’s a skill. It’s a HABIT you have to build, not a tool you have to learn.
Action: Open Claude right now. Type the last thing you asked someone else.
2. Skepticism
Using AI every day means NOTHING if you trust everything it says.
AI hallucinates. Confidently. It makes things up and says them with a straight face.
A lawyer learned this the expensive way. The lawyer cited 3 court cases from ChatGPT in a real legal filing. All 3 were fabricated… big trouble.
That’s a career-ending mistake from skipping ONE step: verification.
The skill is simple. Verify everything AI tells you BEFORE you act on it. Especially numbers, names, citations, and anything you’d be embarrassed to get wrong.
Action: Open your last AI chat. Find 1 stat or claim. Verify it in a new tab right now.
Skepticism also applies to everything you read AI online… be ESPECIALLY SKEPTICAL of AI influencers who wear red sweaters:
3. Context Is the Skill
You’re using AI and verifying it. Now here’s the ONE thing that makes every single output better.
Context.
The quality of what AI gives you is directly correlated to the quality of the context you give it. Not quantity of context, but QUALITY of context.
“Write me a plan” = 3 vague bullets.
Garbage in, garbage out.
But add your goal, your audience, your constraints, your numbers… now you get a real strategy you can actually run.
Here’s the prompt to use when you’re stuck and don’t even know what context to give. Run this:
I want to [your goal].
What do you need from me to give your best answer?
Let AI tell you what it needs. Then feed it back. The output quality skyrockets to a different level. UNLOCKED.
Walk away with: A repeatable way to turn vague prompts into precise, usable output.
4. Augment Your Experts, Don’t Skip Them
This is where most people get AI completely wrong.
They think AI REPLACES the expert. So they fire the accountant, skip the lawyer, and ask ChatGPT for tax advice.
That’s how you make expensive mistakes.
The real move - use AI to walk in PREPARED.
This is my personal formula:
AI LEVERAGE = YOUR SKILL x YOUR CLARITY
If you don’t know ANYTHING about finances or numbers, please don’t try to replace your accountant/CFO/CPA. The leverage you will get is infinitesimal.
Instead, use AI to help you get educated. Explain basic concepts. Prep 5 questions for your exact situation.
That’s the difference.
AI gets you 75% of the way to asking smarter questions. The expert closes the remaining 25% that actually matters for YOUR situation.
Action: Paste this before your next high-ticket appointment:
I’m meeting my [accountant / lawyer / doctor] this month.
What are 5 concepts I should understand and give me 5 specific questions to ask based on my situation: [describe it].
5. Treat AI Like a New Hire
AI doesn’t know your business on day 1.
Stop expecting genius from a coworker who started 5 minutes ago and knows nothing about you.
You train a new hire over MONTHS. This “onboarding” period is baked into all proper hiring plans.
Same with AI!
Day 1, it’s empty. Day 30, it’s filling in. Day 90, it’s trained and runs without you spelling out every detail (most of the time).
I fed Claude my brand voice, my goals, my past content, my corrections. By month 3, it runs a huge chunk of my content pipeline without me re-explaining myself every time.
But this took TIME to refine.
Continuous feedback.
Everytime I sit down to make content, I improve the system (i.e. give feedback) even just a little bit.
The compounding is the whole point.
Most people quit on day 2 because the day-1 output was “mehhh.” That’s like firing an employee after their 1st hour. Completely unreasonable expectations.
Action: Try this prompt…
My tone is [X]. My audience is [Y]. My #1 goal is [Z].
Interview me until you’re 95% confident you can produce the high-quality outputs I want.
6. Build a Continuously Improving Feedback Loop
Here’s what makes the “new hire” compound…
At the END of every session, ask AI to critique itself.
Most people never do this. They get an okay answer, close the tab, and start from scratch tomorrow.
Instead, run this at the end:
Reflect on our chat.
Update our skills to better reflect my preferences.
Save the answer. Do this for 30 days and you’ve built a personal prompt guide… from your OWN real sessions, not some generic template you downloaded.
(confession: as much as I love sharing huge library compilations, they’re not that useful, much more effective to build your own skills from scratch, starting tiny, then building up w/ feedback)
The loop is: chat, reflect, improve, repeat.
Each cycle makes the next sharper.
7. Documentation
This one is as old as sand, but AI made it 10x more valuable.
Every process you repeat more than 3X needs to be written down.
Onboarding. Content batching. Invoices. Whatever you do on autopilot every week.
Why? Because a written playbook is the context AI needs to do the PROCESS for you.
I take a process that used to eat 4 hours, write down the steps once, feed it to Claude, and now it runs in about 30 minutes.
(to clarify: that’s the ideal scenario, it’s a little messier IRL)
The doc is what does the heavy lifting.
Without it, you re-explain the same task every single time.
With it, AI runs the playbook with higher reliability.
Action: Pick 1 thing you do manually every week. Write down the steps. Then feed it to Claude:
Turn this into a reusable skill I can run every week.
Walk away with: One repeating task cut from hours to minutes.
8. AI Agents + Tools
You’ve built the system…
Now stop CHATTING with AI and let it actually DO things.
This is the shift from AI yapper chat to AI agent.
A chatbot gives you advice. An agent connects to your tools and takes action.
In Claude, this lives under Connectors (MCP). Connect your Gmail, and Claude can read threads, draft replies, and flag what needs your attention… in your REAL inbox, not a copy you paste in.
I know the internet promises AI will “run your whole business while you sleep.”
99% of the time that’s a clickbait hook to grab your attention for 3 seconds because you were just watching cat videos.
But this part is real, and it’s here today.
Start tiny. One connector. One real task. Seriously.
Action: Go to Claude.ai. Click the “Customize” menu, open “Connectors,” connect “Gmail,” then run 1 real task like “summarize my unread threads and flag anything urgent.”
9. Stop Trying to Build an AI Business
Last one…
And it’s the mindset shift most people WILL get wrong.
Do NOT quit your job to start an “AI startup.”
You don’t need a new company. You need to apply AI to the business you ALREADY have, or at least a proven business model.
An online coach I know records his meeting notes, has Claude draft social content from them, and posts it via Blotato + Claude. No code. About ~3 hours a week saved and a marketing channel he never had time for before.
Key point: he didn’t build an AI business!
He deployed AI in his existing business.
That’s where the money actually is for most people.
Picking the WRONG path, or doing too many paths at once, is why most people stall before they see a single dollar.
Action: try this prompt…
I do [task] manually every week.
How would I automate this with AI today, without writing code?
RECAP
AI can feel magical, but it isn’t magic.
Treat AI like a team member you train, over time, give context to, give feedback to, and continuously manage over time.
The philosophy: augment, don’t replace.
Make yourself more valuable, not redundant.
Because your AI Leverage = YOUR Skill x Your Clarity!
These 9 skills aren’t about KNOWING AI.
They’re about how you THINK and WORK.
1/ Ask AI first, before Google, before feeling stuck
2/ Stay skeptical, verify before you act
3/ Context is the skill, vague in means vague out
4/ Augment your experts, walk in prepared
5/ Treat AI like a new hire, train it for months
6/ Build a feedback loop, let it critique itself
7/ Write SOPs, the doc is what AI runs
8/ Use AI agents, connect tools and take action
9/ Apply AI to your existing business, don’t start an AI startup
Pick ONE skill from today. Apply it THIS week.
This is the RIGHT way to use AI in 2026… not as a toy, but as a teammate you continuously train.
FAQ
Do I need to be technical to use these 9 AI skills? No. None of these require code. The hardest “technical” step is clicking “Connectors” in Claude and connecting your Gmail, which takes a couple minutes.
Which AI tool should I use, ChatGPT or Claude? Either works for skills 1 to 7. For skill 8 (AI agents), I use Claude because Connectors (MCP) make it easy to plug into Gmail, your calendar, and other tools you already use.
What’s the difference between an AI chatbot and an AI agent? A chatbot gives you advice when you ask. An agent connects to your real tools (like Gmail) and takes action for you, such as reading threads and drafting replies.
What’s the one prompt to use when I’m stuck? Paste: “I want to [goal]. What do you need from me to give your best answer?” Let AI tell you what context it needs, then feed it back.
Should I quit my job to start an AI business? No. For most people the money is in applying AI to the business you already have, not starting a brand-new AI startup with tools you’ve never used.
How fast will I see results? Treat it like training a new hire. Day 1 is rough, by month 3 it’s running real parts of your work. Pick 1 skill this week instead of trying all 9 at once.
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