3 Massive Underserved Markets for AI Education

Big opportunities to monetize AI education for 2026

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In this post, I’ll share 3 HUGE opportunities for AI education - all overlooked, underserved, yet flush with buying power.

If you’ve been thinking about breaking into AI - whether via creating content, teaching others, or consulting — these 3 markets are surprisingly wide open. They’re underserved. They’re practical. They’re in demand. And they’re ready for you!

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Market #1: Microsoft Ecosystem

In other words, where MOST professionals already live, in most cases because they have no choice…

Walk into most corporate offices outside the SF Bay Area and you’ll see the same tools: Excel, Word, Outlook, Powerpoint, Teams.

Many enterprises block direct access to public AI tools (including ChatGPT.com) for compliance, data privacy, and security reasons. Common concerns include:

• Sensitive data leaving the corporate network.

• Lack of visibility into how prompts are stored or used.

• Regulatory obligations like HIPAA, GDPR, FINRA, or FedRAMP.

Also, many companies rely heavily on Microsoft infrastructure (Active Directory, Azure, M365, Teams, Defender, Sentinel, etc). These orgs often operate private networks and have strict compliance needs, especially in regulated industries like finance, healthcare, and defense.

What’s changed in the last 2 years? AI is baked into all of them.

What hasn’t changed?

The typical employee has no idea how to use it.

Copilot for Microsoft 365 is powerful. But most teams don’t use it. They barely know it exists. Or they assume it’s just another clunky corporate upgrade.

That’s the BIG opportunity:

Teach people how to use AI where they already work.

Why it’s big:

• Microsoft tools are entrenched in soooo many businesses, especially mid-to-large companies.

• People are too busy or too overwhelmed to learn new AI workflows and then have to figure out how to make it work in a Microsoft ecosystems

• Companies have budgets for training. They’ll pay for high-quality, focused education.

You don’t need to be an AI engineer.

You just need to show how AI can make day-to-day work easier.

Examples:

• Use AI in Excel to help clean data or analyze raw spreadsheets

• Let AI write better politics-approved emails in Outlook

• Automate meeting recaps from Teams.

You can package these into short courses, team trainings, or webinars.

Keep it simple. Show real use cases. Help people save time.

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Market #2: AI for Niches

Instead of broad generic tips and tricks, go DEEP in 1 niche.

If you open social media right now, you’ll see vague advice on “how to prompt ChatGPT better”… that’s nice, and yes, I tend to do general/broad types of videos.

But another profitable market is going deep on niche use cases, such as helping a real estate agent draft contracts or helping an accountant improve forecasting models.

General AI tips are everywhere.

Specific AI solutions? Much harder to find. It’s still early days.

You could build AI training or learning paths, tailored to a profession or industry you already understand.

Why it works:

• Pros in every field are looking for fast, practical AI skills that apply to their actual work. Most people don’t want to have to think about how to take a “teaching” or “automation” and figure out how to apply it to their domain or specific problem. They’d rather pay to know right now exactly what to do.

• Most AI educators stay surface-level, including most of my short-form content. When you go deep, that builds trust and authority in that specific domain.

You don’t need to guess where to start. Look at your own career and networks of colleagues. Maybe you’ve done HR, real estate, finance, legal, or design work.

Start there.

Because you already know what the workflow looks like in your industry. That’s your competitive edge.

Most employees don’t need to understand AI theory. They just want to save time, increase leverage, and be more productive.

Personalize your teachings to their day-to-day grind and the tools they actually use and the ecosystems they live in.

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Market #3: AI for Kids

I’ve spoken about this idea frequently. I know some of you are pursuing it already.

But from my perspective, it’s still a wide-open market.

In the recent Pew Research about American attitudes towards AI, despite mixed opinions on the benefits of AI, 76% of folks surveyed agreed it’s important to learn about AI.

Parents already know their kids should understand AI. But they don’t have time to research every tool, differentiate which are safe for kids. And most current educational resources are built for adults!

That’s where you come in.

Build simple, creative, age-appropriate AI education.

Why this matters:

• AI will shape everything kids do in the future.

• Parents are willing to invest early in critical skills and learning.

• As of today, there just aren’t many educational programs focused on AI for children.

You don’t have to teach code. You don’t need a deep background in AI for this. You just need to make playing with AI fun and useful.

And even if find A FEW companies doing this already, think about how massive the market really is…

You can tailor your education by age group, tailor it by interests (STEM, music, robotics, gaming, entrepreneurship, social media, etc), or appeal to specific demographics (Spanish speaking etc).

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