In the Age of AI, You Still Matter
TL;DR
You matter through what only you can bring. AI doesn't change that — it just lowers the cost of bringing it. The real discipline now is learning when to speak, not whether you can.
The quiet fear behind every new AI demo: if a machine can write better than me, build better than me, make better than me — what is left for me to add?
It is a real question. But it hides a flawed assumption: that contribution was ever about the output itself.
It wasn’t.
You Really Matter
Every human being matters through their contribution to community, to the continuation of humanity, to peaceful coexistence, to the smart use of what already exists. Every contribution made by every person on this planet — and yes, even in the whole universe — is relevant.
It is not, by principle, a certain group or class of people that is relevant. It is all of us, together. Every single person.
And every person has the potential to be part of this. It is, at its core, a community of people who choose positivity — people who consciously decide to do things for others. Not out of obligation, but from the simple thought: Hey, that’s cool. It helps other people move forward. I enjoy being altruistic because it gives me good vibes.
If that became more normal in our everyday lives — and this is genuinely possible — we would move forward, together, much more strongly in every other area too.
The Amplifier
So where does AI fit into this?
A quick clarification, because words matter: AI has become a buzzword that covers everything from chess engines to spam filters. What most people actually mean today — and what this post is really about — is large language models. ChatGPT, Claude, Gemini, and the rest. Those are the tools suddenly in everyone’s hands. Those are what is reshaping how we write, think, and create.
So let me be precise. LLMs are neither threat nor savior. They are the cheapest amplifier ever built. What they amplify depends entirely on what you feed them.
The bottleneck in human expression was never the making. People who had something to say always could say it — eventually, after years of practice, after learning the craft. The bottleneck was the cost of crossing the gap between having something to say and being able to say it clearly.
LLMs didn’t remove the need for that gap. They made it cheaper to cross.
That means two things. The people who always had something to say now get heard faster. And the people who had nothing particular to say can now produce an enormous amount of output. The floor rises. The signal stays the same.
So the discipline that matters now is not how to produce — everyone can produce. The discipline is learning to use your tools so well that when you do have something to say, nothing stands in the way. And when you don’t — to stay quiet. Silence is also a contribution.
The Soul
Here is what has changed, and why it matters more than it used to.
LLMs have no soul. That is not a mystical claim, it is a structural one. A language model is trained on everything humanity has already written — the collective bias of us all, averaged into plausibility. It can recombine. It cannot originate.
Today, more than half of the content on the internet is generated by LLMs. Most of it does not exist to help anyone think. It exists to influence search rankings, to fill a content calendar, to keep a site ranked. It is optimization dressed as expression — volume without voice.
Which means the thing that used to be common — a person, sitting with their own life, noticing something true, writing it down — is quietly becoming rare.
A fresh thought cannot come from an average of every thought that came before. It can only come from someone who lived, noticed, and cared enough to notice again.
That is what you bring. That is what no model can fake.
The Jewel
And this is why the question “do I really matter?” was never really the right question.
You do. Absolutely.
Because if I am not here, something else takes my place. In that sense, every person is unique in their own way. That is what uniqueness actually means.
The self is like a jewel that you keep polishing a little throughout your whole life. Not to make it more beautiful, but simply so that more of the inner flame burning inside can be seen.
AI is just one more polishing cloth.
Use it.
A note on the word “AI” — in this post I’ve mostly been talking about large language models. But AI is a broader family: computer vision, recommendation systems, reinforcement learning, generative image models, and more. Each one reshapes something different, and each one deserves its own clear-eyed look. Learn about it here →