Degrees Becoming Worthless in the AI Era: What Learning Actually Means

AI commodifies results. But it doesn’t commodify the process of becoming a better human being.

That’s why the conversation around degrees and education today causes so much confusion. A clothing vendor or car washer can ask AI and get answers that used to require specialized textbooks. If you only look at the final output — a piece of code, an analysis, an essay — the gap between formally trained individuals and untrained ones seems to narrow.

But what matters has never been about the final output. It’s about what we call the learning curve.

The Learning Curve: Restructuring the Human

The learning curve isn’t about memorizing knowledge. It’s the process of your brain and your very being getting restructured.

Take a simple example: learning to drive. You can watch a hundred tutorial videos. AI can perfectly describe every single motion. But the first time you sit behind the wheel, your hands shake, your feet fumble, your mind overloads. After dozens of hours of practice, your body begins to automate: eyes scan the road, hands steer, feet modulate gas and brake without conscious thought. You have changed. You don’t just “know” how to drive — you have become someone who can drive.

Learning to code is the same. Someone using AI can produce working code. But someone who has gone through the learning curve of programming develops intuition: knowing how to break down problems, anticipate bugs, design systems. The difference isn’t in today’s code, but in the ability to solve problems you’ve never encountered tomorrow.

Or learning piano. AI can play a piece perfectly. But someone learning piano must go through thousands of hours of finger exercises, correcting tiny mistakes, building concentration and musicality. The final product might sound identical to casual listeners. But only one side has undergone internal transformation.

That is the true value of learning: transforming the person.

Degrees: A Signal Losing Value

Degrees used to hold value because they signaled that someone had completed a difficult learning curve. But when AI allows many people to “shortcut” to results without the process, the value of degrees comes into question.

Not because learning becomes useless, but because the degree no longer guarantees that real transformation has occurred.

The New Divide: Two Ways to Use AI

AI creates a clear division.

The first group uses AI to avoid the learning curve: they achieve fast results but their foundational capability doesn’t grow, becoming increasingly dependent on the tool.

The second group uses AI to accelerate their learning curve: asking deeper questions, experimenting faster, understanding the essence of problems.

The gap between these two groups will only widen.

The first group can produce something today. But when facing new problems, they wait for AI again. The second group builds the capacity to solve problems that AI hasn’t been trained on yet.

21st Century Education: Learning Capacity, Not Fixed Knowledge

In the last century, education primarily prepared people for a stable career. In this century, the core value of education is building the ability to continuously climb new learning curves.

Not knowing a specific skill, but having the capacity to learn new skills quickly and deeply.

Therefore, the question is no longer “Will AI replace learning?” The better question is: Are you using AI to avoid the process of becoming a better human, or are you using it as a tool to accelerate that process?

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AI can give you answers. But only the learning curve gives you capability.

A question to reflect on: When was the last time you completed a difficult learning curve? And how did you change after that process?