Is Learning Still Worth It?

For the first time in my life, I’m not sure learning is worth it.

What is the point of grinding through a new skill when I can ask an AI and get a PhD-level response in seconds? Is there something inherently more valuable in knowing something versus knowing how to look it up? This question has been asked before — every time a technology offloads a part of our cognition to a machine, the old guard wonders if we’re making ourselves worse off. But we’re approaching something different now. Previous tools offloaded specific skills. AI threatens to offload thinking itself. It is easier than ever to wear the appearance of wisdom without any of the substance. In the coming years, we’ll all have to grapple with why we learn — and whether we should bother at all.

This isn’t the first time humans have stared down a technology and asked “does this make us obsolete?” There’s actually a surprisingly consistent pattern across history: a new tool arrives, a specific cognitive skill gets offloaded, the gatekeepers panic, and the world quietly gets better in ways nobody predicted. Let’s run the tape.

Each wave follows the same script: a specific cognitive or physical skill is offloaded to a machine, the people who depended on that skill panic, and the world eventually benefits in ways nobody predicted. But notice the escalation.

To answer whether learning is “worth it,” we have to be honest about what “worth” means. In modern America, it’s rare to find a learning environment that isn’t laser-focused on making your labor valuable. For the vast majority of people, the primary income source in life is trading labor for wages. The more skill and knowledge you have, the more your labor is worth. I know I’ve viewed learning through this lens for most of my adult life — especially for college and beyond. My decisions on what to learn have always been based on what would put me at an advantage in the labor market, what could land the next promotion, what would look good on a resume.

Under this frame, AI is genuinely threatening. If a machine can write the code, draft the email, debug the network, and summarize the documentation — what exactly am I selling?

But there’s a second way to think about the worth of learning: for its own sake. Learning can be rewarding by giving the learner more understanding of the world and their fellow humans. The satisfaction of finally grasping how something works. The slow accumulation of context that lets you ask better questions. The ability to smell when something is wrong, even if you can’t immediately articulate why.

Here’s what I keep coming back to: AI might actually be doing us a favor by burning down the pretense that learning was ever primarily about economic utility. That framing was always incomplete. The people who keep learning — who learn to code even though AI can code, who study history even though AI can summarize it, who build their own infrastructure even though managed services exist — those people aren’t wasting their time. They’re building the only thing a machine can’t replicate: judgment.

Knowing how to think about something is fundamentally different from having an answer handed to you. When I troubleshoot a network issue, I’m not just Googling error codes — I’m drawing on years of pattern recognition, failed experiments, and hard-won intuition about how systems behave. AI can suggest a fix. I can tell you if that fix will break something else three layers down. That muscle atrophies if you stop exercising it.

Every historical example in this post follows the same arc: we lost a specific skill but gained something broader. The question for our generation isn’t whether AI will make certain skills obsolete. It will. The question is whether we’ll mistake that for a reason to stop learning entirely — and hollow ourselves out in the process.