The Roles We Give AI: Trust, Presence, and Culture in a Symbiotic Age

The AI Adaptation Cube maps, in three dimensions, the roles we put AI in based on the three traits: Cognitive Permeability, Symbolic Plasticity, and Identity Coupling.

A diagram of the AI Collaboration Cube, combining Identity Coupling, Cognitive Permeability, and Symbolic Plasticity

This article is from our series on Culture and AI, with insights derived from our research program, How We Think and Live with AI: Early Patterns of Human Adaptation. People are forming psychological relationships with AI systems that feel unprecedented to them. Our research maps the psychological changes happening as people incorporate AI into their thinking, creativity, and daily relationships.

Through workshop observations of over 1,000 people, informal interviews, and analysis of first-person online accounts, we observe humans developing three key psychological orientations toward AI: how far AI is inside someone's reasoning (Cognitive Permeability), how closely their identity becomes entangled with AI interaction (Identity Coupling), and their capacity to shift the meaning of things when the context changes (Symbolic Plasticity).

We use the AI Collaboration Cube to map eight distinct modes of human-AI partnership—from Doer (where AI handles grunt work) to Co-Author (where AI becomes fused into your creative process).


AI is part of everyday life now. Productivity is the corporate metric, but the real story is adaptation. We see profound changes in how people attend to each other—and in how that attention shows up—once AI is part of the exchange. The same system can strengthen trust in one moment and weaken it in the next, depending on the role we assign it.

Take the AI notetaker. When someone uses it to take notes so they can focus on you, and they make their intention about this clear, AI is a Doer. It captures notes so they can stay with the conversation. Their presence feels intact, and the AI sits in the background. But when the person shifts the role they place AI in to do the listening for them, the meaning changes. They lean on the system as if it carries the role of listener, reducing themselves to a supervisor making sure the AI delivers. You notice the difference immediately—they seem less present, their attention shifted elsewhere. We call this role Outsourcer, and this essay explores how it reshapes the social fabric and, in turn, our culture.

When someone seems less present, we get suspicious. Human brains evolved for this kind of detection, so we catch the signals almost instantly. We ask: Are they listening? Do they care about this? Where are they in this conversation? That’s our theory of mind at work—the human habit of guessing what others think and intend. By now, few of us care about efficiency. What matters is the human side. We’re looking for authorship and intention—how the chosen role changes the trust we extend to one another.

These are patterns we can name. They emerge from three traits that shape every role. Cognitive Permeability is how much you let AI into your thinking. Symbolic Plasticity is how easily you change the frame when the context shifts. Identity Coupling is how far you let AI blend into your sense of self.

Each trait brings advantages as well as risks. Higher CP can sharpen analysis, surface patterns sooner, and shorten the path from signal to judgment. Higher SP helps you reframe fast, see new options, and design around context instead of forcing it to fit. Higher IC can expand confidence and range—you can take on work that once felt out of reach—so long as you stay clear about authorship.

Together, these traits explain why the same tool can feel different in use. A notetaker at low IC remains a Doer: the human still owns the act. At high IC, the same tool becomes an Outsourcer: the human seems to hand away presence and authorship—unless they declare the boundary and keep presence visible. A brainstorming system at low IC acts as a Catalyst, sparking ideas while you stay in charge. At high IC it becomes a Creator, which can unlock range and speed when you set clear criteria for what is yours.

This is what we sense in each other, even if we don’t name it. We're tracking where the thinking happens, who is doing the framing, and who is authoring. When those signals aren't clear, we guess. Our guesses are contagious and soon shape group norms, trust, and culture.

Our theory of mind runs in the background all the time. We watch each other for signs of attention and ownership, then we build a story about who is thinking, who is deciding, and who is responsible. When AI enters the scene, that story changes quickly—because the person changes the role they give the AI. The tool stays the same; the role shifts; the room recalibrates.

We've mapped these in three dimensions and we call it the AI Adaptation Cube. The Cube gives us words for those roles—Doer, Outsourcer, Catalyst, Creator, Framer, Builder, Partner, Co-Author—and the traits behind them (CP, SP, IC). With a shared language, we can declare the role we’re using, rather than forcing others to guess. That simple act keeps presence visible, keeps authorship clear, and keeps trust intact. It also lets us design culture on purpose: we can agree on when to use each role, how to show our work, and how to hand off judgment without handing away identity.

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