The AI Debate Is the Wrong Debate

Cathy Reisenwitz was cleaning a door — using the physical task as a time to get into the life of the mind — when she had a genuinely useful thought about the AI safety debate. Go read it. Her conclusion, in her words: “We don’t actually need to argue about whether or not AI is a bubble to reduce the likelihood of an AI catastrophe.”

Because those things we’d need to do to make sure AI goes well? We should have been doing them already: Accountable leaders. Institutions that take care of people, not just shareholders. Communities that have real power over their own futures. None of that is new. None of it waits on resolving the AI debate.

She ends the piece with: “Fucking join us.”

Meaning: stop theorizing and start building more humane systems. Right now. Whether or not AGI is coming.

She’s right. Completely. And I want to add one thing she didn’t quite get to — not to one-up her (are you kidding? I want to grow up to write half as good as she does!) — but because I think it matters for what “joining” actually looks like in practice.

Cathy identifies the problem as political. Who has power? Are they accountable? Do they represent the people who’ll live with the consequences? Yes. Absolutely. Those are the right questions.

But here’s the thing about power: having it doesn’t tell you what to do with it. And even when the right people are finally in the room — the accountable ones, the representative ones, the ones who actually care — something often still goes wrong. The decisions come out worse than they should. The process feels broken even when the intentions are good. People leave with the right answer on paper and the wrong culture in practice.

Why?

Because getting the right people into the room is only half the problem, the other half is what happens once they’re there.

Specifically: whether the values driving the decision ever get named out loud.

Most of the time, they don’t. Most of the time, we argue about outcomes — the policy, the budget, the plan — without ever surfacing the underlying disagreement about what we actually value. Efficiency versus inclusion. Speed versus trust. Short-term relief versus long-term resilience. These tensions don’t disappear because we found the right leader or won the right election. They’re baked into every hard decision. And if you can’t name them, you can’t work through them. You fight about them forever, at great expense, with great bitterness, and no resolution.

This is where I think my 5Es come in as a description of the superpowers you already have, that most of us are dramatically underusing, and as the source of the values we hold that deserve more attention.

For three hundred years, Western institutions have operated on a narrow and frankly incorrect definition of intelligence. Logic. Analysis. Speed. The ability to process information using reason and logic and arrive at correct answers without the messiness of feeling.

Then we built machines that do all of that better than we do. And suddenly everyone’s having an existential crisis about human relevance.

Here’s what that crisis is actually revealing: we’ve been using the wrong definition this whole time.

Human intelligence isn’t what AI does, plus emotion added on top like a garnish. Human intelligence is something categorically different. It’s embodied — it runs through your body, not just your brain. It’s emotional — and I don’t mean that as a liability. It’s ethical, relational, generative, and enacted in the fabric of daily life. These are not soft add-ons. They are the operating system. The part that AI cannot replicate and never will, because it requires something AI doesn’t have: a body with history, relationships with stakes, and a future that actually matters to you.

I call these dimensions the 5Es. Think of them as the superpowers that make you irreplaceable — and the ones most institutions have spent decades systematically suppressing.

Embodiment is the intelligence that runs through your nervous system before your conscious mind has formed a thought. The tightness in your shoulders when something is wrong. The gut feeling about a person or a plan that you can’t yet put into words. We’ve been trained to dismiss this as irrational. Neuroscience says the opposite: patients who lose access to somatic signals — the bodily cues that tag options as important — lose the ability to make decisions at all, even simple ones. Your body isn’t getting in the way of your thinking. It’s part of it.

Emotion is data, not noise. We don’t reason our way to moral conclusions — we arrive at them emotionally, in a fraction of a second, and then build the argument afterward. The moral intuition that fires before you can explain it is a signal with deep evolutionary history encoded in it. Organizations that train people to suppress this aren’t making better decisions. They’re throwing away their most sensitive early-warning system.

Ethics is a practice, not a policy. It’s not the values statement. It’s what you do on a Tuesday afternoon when doing the right thing will cost you something and no one senior is watching. Ethics lives in the body and in emotion — it’s the accumulated weight of every choice you’ve made and have to live with. You cannot outsource it. You cannot legislate it. You can only practice it, or not.

Emergence is the capacity to generate something genuinely new — not by extrapolating from the past, but by suspending the grip of current reality long enough to imagine what could be. It’s the thing that happens in a conversation when an idea appears that neither person brought into the room. It’s not brainstorming. It’s the specific friction of people who see differently thinking together, until something surfaces that surprises even them. This is the one AI genuinely cannot do. It can recombine what already exists. It cannot be surprised. It cannot be changed by an encounter. It has no future to imagine.

Enactment closes the loop. Values that don’t show up in behavior aren’t values. They’re decoration. Culture is what people do when they’re tired and under pressure, and no one important is watching. The leader who talks about psychological safety in all-hands meetings and shuts down dissent in team meetings has enacted a culture — just not the one they described. What we repeatedly do is what we actually are. There’s no shortcut around this.

Here’s the part that connects back to Reisenwitz.

She’s right that this is ultimately about power. But she’s also right — without quite saying it this way — that the leverage point isn’t primarily at the top of the system. It’s in the middle.

Federal policy matters. But it’s slow, contested, and captured by the people who have the most to gain from the status quo. The leverage that’s actually available — right now, without waiting for elections or regulatory reform — is at the community and organizational level.

Your organization. Your team. Your neighborhood. Your school board. Your local government. Your union. Your professional association.

These are not consolation prizes for people who couldn’t get to the real seat of power. They are where culture actually gets made. They’re where the practices that either build or erode collective intelligence get established. And they’re where the values that eventually scale into policy first have to become real in a room full of people who disagree about them.

One thing that helps at this level — something borrowed from researcher Brian Jones’ work on how values operate — is learning to distinguish between the values we hold as non-negotiable, regardless of context, and those that are genuinely situational. Some things we won’t compromise on, no matter what. The dignity of every person in the community — regardless of income, tenure, or status — is that kind of value. It doesn’t flex based on budget pressure or political convenience. Other values are real but genuinely contextual. Take density: a civic group debating housing might all agree that affordability matters, but whether that means allowing six-story buildings in a historically single-family neighborhood is a question where people with shared values can land in very different places — depending on what they weigh more heavily that week, that year, in that specific block. Naming which is which — this one is load-bearing, that one is negotiable — doesn’t resolve the disagreement. But it changes the conversation from a fight about identity to a problem worth solving together. When we confuse the two, or worse, when we never name either, every disagreement feels like a threat to our core identity. Which is exhausting, and also why so many important conversations go nowhere.

When groups can actually surface this — when they can see which values are load-bearing and which are negotiable, when they can name the tension instead of fighting around it — something different becomes possible. Groups don’t need agreement on everything, just enough shared clarity to actually move.

That’s not magic. It’s a skill. It’s learnable. And it’s one of the most underinvested capacities in most organizations and communities right now.

Reisenwitz is calling for people to stop waiting for the AI debate to resolve and start building more humane, accountable, capable systems. I’m with her.

What I’d add is this: the building happens in rooms. It happens in the quality of the conversations your organization is capable of having. It happens in whether people can bring their actual intelligence — embodied, emotional, ethical, emergent, enacted — to the problems that matter, or whether the culture trains them to leave most of it at the door.

The 5Es aren’t a theory about AI. They’re a map of what humans are capable of when we stop impersonating the narrow version of intelligence we’ve been told to perform.

We’ve been underselling ourselves for three hundred years. The AI moment is, weirdly, an invitation to stop.

So yes. Fucking join us. And bring your whole mind.

Sherryl Dimitry, Ph.D., is an organizational consultant, former People Executive, and founder of the Human Futures Design Lab — a research and practice platform focused on collective agency, community resilience, and values-based design. She writes at The Human Futures Design Lab.