9 High Paying AI Skills to Learn Before 2026

Over the next year, the people earning the most won’t be the best programmers. They’ll be the best AI power users.

AI has already cut my payroll costs and sped up how fast my team ships ads and content. The people who know how to apply it to a real business are going to get paid well for it.

Here are nine AI skills worth learning before 2026, roughly in order of what I think they can pay, with the highest paying one last.

1. Prompt engineering ($50 to $100 an hour)

Output quality depends on input quality. I think this skill is about as valuable now as software development was a decade ago. Use four steps:

1. Define the role. A CEO for business questions, a therapist for emotional support, a top scientist for science.
2. Give it data and examples. When I asked for a “before I die” list, I listed things I’d already done, like Carnival in Brazil and travel in Africa and Greece, so it knew what kind of ideas I wanted.
3. Make a specific ask. Name the season or the activity instead of asking for “the best places on Earth.”
4. Request an output format. A PDF, a Google Doc or bullet points.

2. No code software building ($100 to $200 an hour)

Tools like Replit and Retool let non technical founders build. I doubt they can build fully robust products yet, but they’re a real starting point.

1. Ask ChatGPT for a step by step course on the skill, with resources.
2. Find real customer problems. What do customers ask for over and over? That repetition can become software.
3. Build. Alex Becker’s advice is to just start building and learn as you go. Most people get stuck planning.

That’s how Trainer Chat started. It helps personal trainers handle client DMs without spending their whole day in their inbox. About half my clients are trainers, since I started in fitness.

3. AI design ($100 to $200 an hour)

• Generative images: upload a photo of yourself and ask for variations. If you don’t know how, ask the AI to teach you.
• Photo editing: upscale old low resolution photos or make fun images for birthdays and holidays.
• Web design: use Figma with AI to edit sites and need a developer less.

I also use AI for text based ads. We produce them about three times faster than with a graphic designer.

4. AI video editing ($100 to $200 an hour)

AI does the heavy lifting. Editors become directors who decide what the final product should look like.

• Short form clipping: tools like Fire Cut and Opus find viral moments in long videos. I’m still testing them and I’m not impressed yet.
• Avatars: tools like Synthesia. Within about two years, I think creators will make content with AI versions of themselves.
• AI B roll: generate or find supporting footage to speed up editing.

5. AI writing ($100 to $200 an hour)

The value isn’t writing from scratch. It’s extracting ideas and voice. Editing a draft is easier than creating one.

• Extraction: feed podcasts, YouTube videos or coaching calls into AI and repurpose them into emails, newsletters and posts in the creator’s voice.
• Ideation: feed in your top performing content and ask for new ideas based on what already worked.
• Creation: build custom GPTs trained on one person’s best content. An ad agency with 40 clients could have one person oversee copy instead of a full time copywriter.

6. AI content marketing ($200 to $300 an hour)

1. Define the final product: a newsletter, an app or a subscription.
2. Create content with the skills above.
3. Repurpose it systematically.

Services that turn a client’s best posts into a high volume of short form reels can also bring in referrals, because other people see the output.

7. No code AI automation ($300 to $400 an hour)

Tasks that took hours or days now take minutes.

1. Map workflows visually. Ad to opt in to lead to call to sale. Clients understand strategy better when they can see it.
2. Automate the cash drivers. Chatbots, AI phone dialing for lead follow up and booking, and email and text sequences. It has to be high quality.
3. Build co pilots. I use ChatGPT as an instant coach to sharpen my hooks and content.

8. AI data analysis ($300 to $400 an hour)

1. Clean the data. Many businesses don’t have accurate data. When I evaluate a company, I ask for it first. Cost per lead, cost per call, click through rate and cost per sale, compared against target numbers, show you the bottleneck.
2. Enrich it. Add information like credit scores and available credit lines to leads so sales teams can prioritize real buyers.
3. Extract insights. Find where your best customers are and what they prefer, then aim your ads and content at them.

9. No code AI agents ($400 to $500 an hour)

People who use AI agents may end up replacing people who don’t. Agents work 24/7 and never take a day off.

1. Give it one job. Chat support, phone calls or email replies. Don’t build for everyone.
2. Train it on real data. Show it good and bad outputs. Trainer Chat is trained on real customer data this way.
3. Deploy, monitor, optimize. Score outputs, mark the good and bad ones, and keep refining.

The takeaway

AI is the future, and people will get paid to apply it to other businesses. Pick one of these skills, learn it by using it on a real problem, and start now. The people who wait a few years are going to be left behind.

Want to know where AI, or anything else, would unlock your business fastest? Take my free 90 Day Ceiling Plan. Answer 18 questions and get a written plan, built on your own numbers, that names the one thing holding you back and what to fix first.