Most of what you've read about my predictions for how education will look in 2027 is wrong. I know because I believed it too, and it cost me.
After talking with people working in education and tech, I see big changes coming in how we learn. These are three things I believe will shape personalized learning in the next few years.
The Framework That Actually Works
I'm going to share the exact framework I use when evaluating my predictions for how education will look in 2027. It's not complicated, but it requires discipline.
Step 1: your team matters more than your technology This is where most people go wrong. They skip this step entirely and jump straight to execution. Don't do that.
Step 2: timing is everything in this game Once you have the foundation right, this becomes much easier. I've watched founders struggle with this for months when the answer was staring them in the face.
Step 3: Iterate relentlessly Nothing works perfectly the first time. The companies in my portfolio that nail my predictions for how education will look in 2027 are the ones that treat it as an ongoing process, not a one-time project.
Why Most Approaches Fail
Let me be direct: about 70% of the approaches I see to my predictions for how education will look in 2027 are fundamentally flawed. Not slightly off. Fundamentally flawed.
The root cause is usually one of three things:
- Copying what big companies do without understanding why they do it. What works for Google doesn't work for a 10-person startup.
- Over-engineering the solution when a simple approach would work better. I've seen teams spend six months building something that could have been done in two weeks.
- Ignoring the human element. Technology is the easy part. Getting people to actually use it is where the real challenge lives.
Real Talk: What Actually Matters
I'm going to cut through the noise and tell you what actually matters when it comes to my predictions for how education will look in 2027.
First, execution speed beats perfection. Every time. I've never seen a company fail because they moved too fast on my predictions for how education will look in 2027. I've seen plenty fail because they moved too slow.
Second, measure everything. If you can't measure it, you can't improve it. Set up tracking from day one, even if it's basic.
Third, talk to your users. This sounds obvious but you'd be amazed how many founders build their my predictions for how education will look in 2027 strategy in a vacuum. Get out of the building. Talk to real people.
This connects to broader themes around predictions, personalized learning, future of edtech, ai trends that I've been thinking about a lot lately.
Wrapping Up
I've shared a lot here, and I know it can feel overwhelming. But here's the thing about my predictions for how education will look in 2027: you don't need to get everything right on day one. You just need to get started and keep improving.
The founders in my portfolio who excel at my predictions for how education will look in 2027 share one trait: they're relentlessly practical. They don't chase perfection. They chase progress.
That's the mindset I'd encourage you to adopt. Start where you are. Use what you have. Do what you can. And keep pushing forward.
As always, I'm rooting for you.
Frequently Asked Questions
How has this view evolved over time?
My thinking on most topics has changed significantly over the years. Early in my career, I held many conventional views that experience proved wrong. I try to update my beliefs when the evidence changes.
How can I apply this thinking to my own situation?
Start by identifying the core principle behind the opinion, not the specific example. Then ask yourself: does this principle apply to my context? If yes, test it in a small, low-risk way before going all in.
Do all experts agree with this view?
No, and that's fine. The best ideas in business are often contrarian. I share my perspective based on my experience and data, but I encourage you to seek out opposing viewpoints and form your own conclusions.