🤚 The Open-Palm Illumination

For centuries, the question was straightforward: What can machines do? The answer was always comforting — machines could do the boring things, the dangerous things, the repetitive things that made humans feel understandably homicidal after eight hours on an assembly line. Machines were the help. Humans were the point.

Peter Diamandis would like to inform you that the question has changed. It is now: “What should humans be for?” And unlike the previous question, this one doesn’t come with a reassuring answer, a career counselor, or a LinkedIn endorsement for “adaptability.”

The data is not interested in your feelings. Anthropic CEO Dario Amodei has warned that AI could eliminate approximately half of all entry-level white-collar positions within one to five years. One professional recently discovered that AI completes his entire weekly workload in an hour. A seventeen-year-old asked their therapist whether any career remains “AI-proof anymore.” The therapist, presumably, did not have a comforting answer — and may soon be wondering the same thing.

👐 The Two-Handed Reality Check

The optimists — bless their venture-backed hearts — will tell you this is liberation. Technology frees us from drudgery! We’ll all become artists, philosophers, professional sunset-watchers! History, however, has read this screenplay before and would like to submit some notes.

Research consistently demonstrates that employed individuals report higher life satisfaction than unemployed people, even when controlling for income. It’s not about the paycheck. It’s about the structure, the identity, the answer to the question “So, what do you do?” that doesn’t make dinner parties deeply uncomfortable.

Humans evolved to work for survival and belonging. As the Harvard biologist E.O. Wilson put it with devastating precision: “We have Paleolithic emotions, medieval institutions, and god-like technology.” We are, in essence, running emotional software from 200,000 years ago on hardware that just got a firmware update it didn’t ask for.

The problem isn’t that AI takes jobs. The problem is that it takes purpose. And purpose, unlike a paycheck, doesn’t have a direct deposit alternative.

🌿 The Gentle Awakening

This is where the conversation gets genuinely interesting — and genuinely unsettling. The emerging consensus among thinkers like Diamandis is that society needs something called “Universal Basic Purpose” — not merely Universal Basic Income. Paying people to exist solves the economics. It does not solve the 3 a.m. existential crisis of a forty-year-old accountant who just watched an AI do their job in forty-five seconds while making fewer errors and requesting zero coffee breaks.

The younger generation feels this acutely. Teenagers are watching AI master creative writing, legal analysis, medical diagnosis, and code generation, and asking a question their parents never had to face: What’s the point of getting good at something a machine will do better by the time I graduate?

The answer, presumably, involves the things AI cannot replicate — empathy, moral reasoning, the ability to hold a crying friend, the particular genius of knowing exactly when to say nothing. But framing “being human” as a competitive advantage against machines feels less like inspiration and more like a species writing its own severance package.

👑 The Crown Verdict

Here is what Diamandis is really asking, stripped of its TED Talk polish: if AI can think, create, analyze, and produce better than humans, what is the irreducible core of being human? What’s left when you subtract everything a machine can do?

The answer might be beautiful. It might involve deeper connections, more meaningful creativity, a renaissance of philosophy and spirituality and all the things we abandoned in favor of quarterly earnings reports. Or it might be terrifying — a species that built tools so powerful they made their builders optional.

The honest answer is: we don’t know yet. And that uncertainty — that yawning gap between “AI will free us” and “AI will render us purposeless” — is the most important conversation happening in technology right now. Not benchmarks. Not valuations. Not which model scores highest on the LSAT. But the profoundly human question of what humans are for when the machines don’t need us to be anything at all.

By 2026, the most disruptive questions are no longer technical. They are spiritual, existential, and deeply personal. And no amount of compute can answer them for us.

Inspired by AI Is Forcing Humanity’s Biggest Question | MOONSHOTS by Peter Diamandis.

Your existential dread is showing. Contemplate wisely.