"Medicine, law, business, engineering — these are noble pursuits and necessary to sustain life. But poetry, beauty, romance, love — these are what we stay alive for."
— John Keating, Dead Poets Society
On automation, humanity, and a singer in a bar.
I was walking past a bar the other night when I heard it — a voice, a piano, the particular electricity of two musicians locked into each other. I stopped. I couldn't not stop.
That moment has been sitting with me ever since, and I think it contains something important about what we're actually worried about when we talk about AI.
- The redistribution story about jobs, income, and collapse — and why it may be the wrong question
- What a live performance actually is: negotiation, room, and the circuit the audience completes
- Why emotional intelligence is scar tissue — and why simulation is not the same as having earned it
- The inversion AI forces: the hardest things to automate aren't the most computational
On Productivity, Jobs, and Who Gets the Gains
The standard AI anxiety runs like this: machines will be so productive that humans won't have jobs, and if humans don't have jobs, they won't have income, and if they don't have income, nobody can buy anything, and the whole thing collapses. It's a coherent fear. Henry Ford understood the other side of it intuitively — he paid his workers enough to buy his cars, not out of altruism, but because markets need customers.
The economists will work through the redistribution problem eventually. UBI, capital democratization, taxation of robot-generated surplus — these are hard political problems, but they're soluble problems. Humans have navigated technological displacement before.
The more interesting question isn't whether we'll find a new economic equilibrium. It's what we'll discover about ourselves in the process of looking for one.
Which brings me back to the bar.
What a Live Performance Actually Is
It wasn't the notes. The notes exist on Spotify. I could hear that singer's entire catalog at home, free, on demand, with studio-quality sound and none of the crowd noise.
I stopped because of something that has no name but that every musician knows: the negotiation happening in real time — between the singer and her pianist, yes, but also between both of them and the room. A glance. A breath. A tiny hesitation before a chord that said I'm going somewhere unexpected, follow me — and he followed, and the audience followed, and for a moment forty strangers were breathing together without knowing it.
That negotiation runs in three directions at once. The musicians listen to each other. But they're also reading the room — feeling where the energy is, pushing a phrase a little further because the audience can take it, pulling back somewhere else because the silence will land harder. And the audience completes the circuit. Their attention, their stillness, their collective held breath — that's not passive. It shapes the performance in real time.
I know what this feels like from the inside. Playing in bands, sitting in on jazz sessions — sometimes with people I'd never met, bonding over the first three chord changes of a standard, building something together before we'd even exchanged names. What I remember most isn't the music. It's the moment you realize you're creating something in people who didn't know you existed five minutes ago. A stranger's eyes close. Someone leans into whoever they came with. That's not applause — that's contact. And it's addictive in a way that's hard to explain to anyone who hasn't felt it.
That moment was irreplaceable not despite its fragility but because of it. It existed once, in that room, and then it was gone. Nobody's going to be moved by robots replicating this. Not because robots can't approximate the notes, but because the whole point is that these humans chose to be there, carried their entire lives into a single phrase, and staked something real on whether it would land.
What Intelligence Rooms Teach You
Spend enough time in rooms full of brilliant people and you notice something: IQ stops differentiating very quickly. Everyone can analyze. Everyone can build a model. What separates people is something else entirely — the capacity to read what isn't being said, to deliver hard truths without making enemies, to know which battle is worth having today.
We call this emotional intelligence, but that phrase doesn't capture what it actually is. It's not a skill you learn. It's scar tissue. It's built from having misread a room and paid the cost. From having hurt someone you loved and sitting with that. From watching a junior colleague struggle with something you once struggled with, and knowing — with your whole body, not your brain — exactly how much to say and how much to let them find themselves.
The best mentors know when to withhold. That judgment comes from having been the person who needed to be let alone.
I learned from people who were extraordinary at this. I hope I passed some of it on. An AI can simulate the output of that wisdom. It cannot have earned it.
The Crown Jewel Was Never the Brain
Here is the inversion that AI is forcing on us: for centuries we organized civilization around the assumption that intelligence was the highest human faculty. Reason, analysis, computation — these were the crown jewels. Physical labor was what you did if you couldn't think.
AI is performing a slow reductio ad absurdum on that hierarchy. It turns out the things hardest to automate aren't the ones that require the most computation. They're the ones that require presence, history, mortality. The pianist who spent ten thousand hours at the keyboard because he had to. The mentor who knew when to speak because she'd been wrong before and lived with it. The singer who makes a room go quiet because she's singing about something that actually happened to her.
Many traditions said this all along — that what's sacred about humans isn't their intellect but their capacity for love, connection, and meaning-making in the face of death. We may be arriving, by a very long technological detour, at the same conclusion.
The post-scarcity economy, at its best, might look less like everyone having more things — and more like everyone having more time for what happened in that bar.
Written in May 2026, distilled from a conversation about automation, equity markets, EQ, and a singer I couldn't walk past.