Somewhere along the way, “intelligence” stopped being a quiet human trait and became a competition. We built ladders out of it — IQ scores, gifted programs, SAT numbers, elite acceptance letters, the “smartest person in the room” as a kind of secular sainthood. Entire industries exist to measure it, rank it, credential it, and sell it back to us as a promise: be smart enough, and you’ll be safe.
I’ve been thinking about this a lot lately, for reasons that started with a graphic designer casually out-coding me with AI, and have since spiraled into something bigger than my own bruised ego. Because if I’m honest, a good chunk of my self-worth has quietly been sitting on “I’m the smart one who can figure this out.” I suspect I’m not alone in that.
A brief, uncomfortable history
Intelligence hasn’t always been measured the way we measure it now. For most of human history, the person you trusted wasn’t necessarily the cleverest — it was the one with judgment, the elder who’d seen enough winters to know which risks were worth taking. Cleverness and wisdom were treated as different things, and wisdom usually won.
Then came the Enlightenment’s faith in reason, the 20th century’s obsession with testable metrics, and eventually IQ tests, standardized exams, and a global credentialing machine that turned “how smart are you” into a number you could put on a resume. Somewhere in there, intelligence stopped being a quiet trait and became a performance — a thing to prove, rank, and monetize. Silicon Valley, my own industry, built an entire culture on it: the myth of the brilliant founder, the “10x engineer,” the cult of raw cleverness as the highest virtue a person could have.
It was, in a lot of ways, a pursuit of status wearing the costume of merit.
Then AI showed up and didn't get the memo
Here’s the uncomfortable part. Large language models can now pass bar exams, ace standardized tests, write working code, and outperform most humans on the exact puzzles we’ve spent a century treating as proof of intelligence. And they do it without understanding anything at all, in any way we’d recognize as understanding — no lived experience, no stakes, no consciousness. Just pattern prediction, one token at a time.
There’s a common pushback here, and it’s worth taking seriously: AI doesn’t actually know anything. It’s not thinking. It’s just predicting the next most likely word based on statistics. That’s true, as far as it goes.
But I’d argue that fact makes this moment more damning, not less. If a system with zero understanding, zero consciousness, and zero lived experience can replicate — or beat — the exact things we spent lifetimes credentialing as “intelligence,” maybe that tells us something uncomfortable about what we were actually measuring all along. Maybe a lot of what passed for intelligence in classrooms, interviews, and career ladders was never as deep as we told ourselves. Maybe it was pattern-matching and fast recall dressed up as depth — which a predictive machine, it turns out, was always going to be very good at too.
Despair over the earthly
The philosopher Søren Kierkegaard, writing in 1849, described something he called “despair over the earthly” — what happens when someone attaches their sense of self to something outside them: a job, a status, a skill, a score. The danger isn’t really the losing of it. The danger is that losing it exposes an emptiness that was quietly there the whole time, one we’d built a very convincing structure to avoid noticing.
He put it plainly: losing yourself can happen so quietly it passes off in the world as if it were nothing.
That’s what this feels like, at civilizational scale. Not a dramatic collapse — a quiet, creeping exposure. The credentials, the test scores, the “smartest in the room” status — for a lot of us, that was the earthly thing. And AI didn’t take it from us so much as reveal how much weight we’d put on it.
Maybe intelligence isn't the point
Here’s where I’ve landed, at least for now, and I say this as someone who has built a career and no small amount of self-worth on being good at solving hard technical problems: maybe intelligence — the fast, clever, pattern-matching kind we’ve spent a century worshipping — was never the load-bearing thing we thought it was.
Wisdom might be the actual different thing. Not “how fast can you find the answer,” but “do you know which questions are worth asking, which risks are worth taking, what actually matters when it’s your decision to make and your consequences to live with.” Wisdom requires a body in the world, a stake in the outcome, a history of having been wrong and having to live with it. It’s slow where intelligence is fast, humble where intelligence performs, and — so far, at least — it’s not something a predictive model can fake its way into, because it was never about prediction to begin with.
I don’t think this makes intelligence worthless. I think it makes it smaller than the throne we built for it.
If intelligence turns out not to be the thing worth chasing — what does that make of the ladders we spent our lives climbing?
