I have spent the last seven plus years at Mindvalley, one of the largest personal growth education platforms in the world. We serve millions of students across dozens of programs spanning meditation, leadership, fitness, relationships, and everything in between. In the past two years, I have watched AI change the way we think about education, from the inside.

What follows is based on what I am seeing, building, and deploying at work each day. The shift is real and accelerating, and I expect it to separate the platforms that adapt from the ones that fall behind.

The Old Model Was Broken Long Before AI

The traditional online education model had a fundamental flaw: it treated every student the same. You signed up for a course, you got 30 videos, you watched them in sequence, and you either finished or you did not. Most people did not. Completion rates across the industry hovered somewhere between 5 and 15 percent. That would be a poor result for any product.

The content was rarely the problem. The teachers were excellent and the production quality was high. The weak point was the delivery mechanism, which was a one size fits all pipe that ignored the most important variable: the individual on the other end.

The next gains in education will come less from better content and more from matching the right content to the right person at the right time.

That is what AI makes possible, and we are still early.

AI Powered Program Recommendations

At Mindvalley, we have over 100 programs across six major pathways: mind, body, soul, relationships, career, and entrepreneurship. When a new member joins, the old approach was to show them a catalog and hope they found what they needed. Some did. Many got overwhelmed and churned.

Now we are building intelligent recommendation systems that understand what a student actually needs, based on their stated goals rather than what is popular: their engagement patterns, their feedback, and their progress. The AI considers whether someone is a morning person or an evening learner. Whether they prefer 10 minute microlessons or deep 45 minute sessions. Whether they respond better to scientific framing or spiritual language.

This goes well beyond a Netflix style "because you watched X." It is a deeper personalization layer that treats education as an adaptive experience.

The Results Are Tangible

When you match someone with the right program at the right moment, engagement goes up, completion rates go up, and most importantly, transformational outcomes go up. People actually change, and when they change, they stay, tell their friends, and recommend the platform. At that point AI is driving growth, not only improving the technology.

Adaptive Learning Paths

The next step is adapting the program itself in real time, in addition to recommending the right one. Imagine a meditation course that notices you are struggling with focus based techniques but thriving with breath work. Instead of forcing you through a rigid 30 day curriculum, the AI reorganizes your path to lean into what works for you while gently reintroducing the challenging material in a different context.

This is adaptive learning, and it has existed in theory for years. What has changed in 2026 is that the underlying models are finally good enough to do this well. Large language models can analyze student responses, quiz results, and engagement signals to make real time adjustments that feel natural rather than robotic.

We are experimenting with systems where the AI acts as a learning companion. It does not replace the teacher. It sits as a layer between the teacher's content and the student's experience. The teacher records one masterclass. The AI delivers a thousand personalized versions of that learning experience.

AI Assisted Content Creation

One issue gets too little attention: the content creation bottleneck. Producing a single high quality online course at Mindvalley involves scripting, filming, editing, graphics, quizzes, workbooks, community prompts, and marketing materials. It can take months. AI is compressing that timeline dramatically.

Having AI generate a course from scratch produces generic, hollow content. The better use is AI as a creative accelerator:

The result is content of the same quality produced faster, which leaves the human creators more time for the parts only people can do: the storytelling, the vulnerability, the lived experience that makes education transformational.

Student Engagement Through AI

One of the hardest problems in online education is keeping people engaged after the initial excitement wears off. In week one, everyone is motivated. By week three, attendance drops. By week six, most people have forgotten they signed up.

AI changes this equation in a few critical ways:

Intelligent nudging. Instead of generic reminder emails, AI can send personalized messages at the exact time a student is most likely to engage, referencing their specific progress and the specific next step that is most relevant to them. The difference in open rates and reengagement is large.

Community matching. AI can connect students who are at similar stages in their journey, creating microcommunities where accountability happens naturally. When you know someone else is going through the same challenge at the same time, you are far more likely to show up.

Progress intelligence. Rather than showing a simple progress bar, AI can give students meaningful feedback on their growth trajectory. For example, instead of "you have completed 60 percent," it might say "based on your journaling patterns, your self awareness scores have increased by 40 percent since you started. Here is what to focus on next."

Where the Industry Is Heading

I see three major shifts happening over the next two to three years that will define the next era of online education:

First, the rise of AI tutors. These are learning companions rather than FAQ chatbots. They know your history, understand your goals, and can guide you through a curriculum the way a great private tutor would. The technology is ready. The question is who builds the best implementation.

Second, real time content adaptation. Courses will stop being static. They will evolve based on aggregate student data. When the AI notices that 80 percent of students struggle with a particular concept, it will automatically generate supplementary material or restructure the lesson flow.

Third, outcome based education models. AI makes it possible to measure transformational outcomes as well as course completions. When you can measure outcomes, you can price based on outcomes. This is going to create entirely new business models where students pay based on the results they achieve rather than the content they consume.

The platforms that win will be the ones that deliver the most personalized, measurable transformation per student, whatever the size of their catalog.

What This Means for Educators

If you are a teacher, a course creator, or someone building in the education space, my view is that AI will take over the parts of your job that were never the best use of your time, rather than the job itself. The administrative work. The repetitive explanations. The generic feedback loops.

What AI cannot do is live through your experience. It cannot share the vulnerability of your personal story. It cannot hold space the way a human mentor can. The best AI in the world cannot replace the moment when a teacher looks at a student and says, "I know exactly what you are going through because I have been there."

The educators who use AI well will become much more effective. They will reach more people, create deeper impact, and free up their time for the work that actually matters: connecting human to human.

Building the Future From Inside

I am biased because I am building these tools at Mindvalley. I see the data. I see the engagement curves shift when we deploy AI powered features. I see students who would have churned in week two suddenly completing entire programs because the experience adapted to them.

But I also see the responsibility that comes with it. AI in education must be built with intention. It must serve the student first. It must strengthen the human elements rather than strip them away. If we use AI to cut corners on quality instead of improving the experience, we have failed.

We are at the beginning of the most significant transformation in education since the internet made learning accessible to anyone with a connection. AI is making it personal, and personal learning is what changes people's lives.