The People Who Will Thrive in the AI Age

2026-07-03 · page · source ↗ · source summary

David Brooks argues that AI won't sort society by intelligence — it'll sort it by people's relationship to mental effort. In an age where intelligence is plentiful, volition becomes the scarce and valuable thing. The essay maps three psychological profiles, names cognitive polarization as the central societal risk, and proposes that the defining human features AI can't replicate are propulsions and aspirations: the drive to hunger for things, to become someone, to undertake missions that might fail.

Key Quotes

"When intelligence is plentiful, volition is valuable."

The essay's thesis in one line. Brooks inverts the conventional framing: AI doesn't replace human intelligence; it makes intelligence cheap enough that wanting things — truly wanting them, enough to suffer for them — becomes the differentiator. This is the same observation from the other direction as Roztropiński's "force multiplier needs force" — LLMs multiply what you bring, but you have to bring something first.

"The people who are going to make a difference are not the ones who seek relaxation and passively use AI to work less. They are the ones who will seek improvement and actively wrestle with AI to develop their own mental capabilities and accomplish more."

Brooks's normative claim, not a descriptive one. He's explicit about which outcome he values. The "wrestle with" verb choice matters — it's the same struggle-as-necessary framing that runs through The Joy and Power of Understanding and Sandi Metz's "programming aesthetic." You don't absorb capability; you build it through opposition.

"AI 'offers competence without apprenticeship. Fluency without understanding.' A student who internalizes that pattern does not become lazier; he becomes less formed, less present, less able to bear the weight of difficulty without reaching for a prompt."

Quoting Chris Sibben, head of Rivendell school, who calls this "the industrialization of detachment." The phrase "less formed" is doing heavy work — this isn't about knowledge or skill, it's about identity. A person who has never wrestled with a hard text hasn't built the self that can hold a conviction. This connects to identity as participation — identity forms through the ordeal, not the output.

"AI can't hunger, in the first place, because it doesn't have biological needs — the needs that push living things to grow and explore. More important, AI doesn't have a self. A bot doesn't have a past person that it used to be or a future person that it wishes to become."

The essay's ontological pivot. Brooks locates what makes humans distinct not in reason (computers beat us there) but in desire and identity-over-time. This is the cleanest counter to the They're Made Out of Weights argument: yes, LLMs are just weights, but the difference that matters isn't in the mechanism — it's that humans have a structure of cares, an order of loves, a personal history of wounds and joys. Halvar Flake would agree on the mechanism and disagree on whether the distinction matters.

"Life is not mostly about solving problems. Any computer can do that. Life is a pilgrimage, a journey — it's going somewhere, growing from experience, expanding yourself, reaching for some possibility that you do not yet possess."

Brooks's theological register breaking through. He's a self-described Augustinian, and this is the confessional core: the rationalist view of life as problem-solving is impoverished. The pilgrimage frame makes the AI question not "what can AI do?" but "what kind of person do I want to become?" This is the same move Things You're Allowed to Do makes — most constraints are self-imposed — but applied at the level of identity rather than action.

Key Themes

#concept #psychology #AI #education #identity

The Need-for-Cognition Spectrum

Brooks maps three groups based on psychologists' "need for cognition" — a trait that correlates with but is distinct from intelligence:

  1. Productive Passengers (low need): Use AI to think less. Short-term productivity gain, long-term hollowing out. Brain connectivity drops 55% using ChatGPT (MIT Media Lab). Gamma-wave activity — a sign of cognitive effort — drops 40% (Possibility Sciences). Critical thinking ability shows "significant negative correlation" with frequent AI use (Gerlich, SBS Swiss Business School). After ~10 minutes of AI-assisted problem solving, people who lose access perform worse and give up more than those who never used it (CMU). Physicians' endoscopic detection skills dropped from 28.4% to 22.4% after AI use and removal.

  2. Reluctant Optimizers (medium need): Know AI might hollow them out. Resolve to resist. Get sucked in anyway by the optimization mentality — the entire tech industry is organized around removing friction, while cultivation requires seeking it. Submit AI-generated content they suspect contains errors (43%, per GoTo survey). Accept AI's wrong answers 80% of the time (Wharton). Intrinsic motivation drops 11%, boredom rises 20% after AI use (Shanghai Tech). This is the group that needs institutions to save them from themselves.

  3. Mental Marathoners (high need): Use AI to think more. They're the ones who seek out the zone of optimal difficulty — not so hard as to overwhelm, not so easy as to require nothing. Their reward isn't the output; it's the expansion of capacity. Brooks's techniques for staying in this group: ask for hints not answers, start with a blank page, rotate AI and non-AI tasks, redesign bots as tutors not oracles, make a sharp distinction between rote and creative work, ask for thinkers not thinking.

This maps cleanly onto Steve Yegge's token-spend cohorts — the 0M, 4M, and 12-15M token/day groups — but Brooks adds the psychological layer: it's not just how much AI you use, it's why and with what posture.

Cognitive Polarization

The darkest section of the essay. Brooks predicts society dividing "into what might begin to look like two different species" — high-need-for-cognition people getting more productive and happier while everyone else falls into "a kind of mental underclass." This is the cognitive version of Owen McGrann's economic polarization thesis — productive capacity without human participation, but applied inward to human capability itself.

Brooks frames this as not inevitable but requiring deliberate institutional reform. The parallel to Sachin's scenius argument is striking: both identify a missing developmental phase. Vibe coding skipped the playground where taste forms; Brooks's Reluctant Optimizers are skipping the struggle where self forms.

Education Reform: Volition Over Content

The practical proposal: shift schools from content-downloading and smart-kid-sorting to cultivating volition. Self-determination theory (Deci & Ryan) provides the mechanism: autonomy (I'm in control), competence (I'm developing), relatedness (people here care about me). Motivation also increases with admiration (exposure to greatness) and apprenticeship (learning to love the craft, not just execute it).

This is the same insight as Blake Smith's essay on the Silicon Valley canon but applied to the student rather than the founder — both identify that what you desire and who you want to become matters more than what you know.

Critical Analysis

What Brooks gets right: The need-for-cognition framing is genuinely useful. It's more nuanced than "AI good" vs. "AI bad" and explains why the same tool produces wildly different outcomes for different people. The distinction between the optimization mentality (friction is waste) and the cultivation mentality (friction is the point) is the sharpest part of the essay — it cuts across education, software, and personal development with equal force. The self-determination theory coda is well-chosen: if you want people to seek difficulty, you need autonomy, competence, and relatedness, not more grades and metrics.

What he's skating past: The essay's three-category model is suspiciously tidy — real people slide between categories depending on the task, the day, and the tool. A surgeon might be a Mental Marathoner in the OR and a Productive Passenger with GPS. The "mental underclass" framing is provocative but under-argued: Brooks asserts polarization without examining the countervailing forces (AI tutors that improve learning, accessibility gains for people with disabilities, democratization of expertise). He also doesn't engage with the obvious objection that "need for cognition" correlates with things that already sort society — education level, socioeconomic status, job type — so what he's calling cognitive polarization may just be existing inequality wearing new clothes.

The blind spot: Brooks treats AI as a unified force with a single gravitational pull toward optimization, but the essay itself lists techniques that reverse that pull (hints not answers, blank-page-first, etc.). If a few technique tweaks can flip the polarity, the technology isn't the problem — the default configuration is. The real question isn't "how do we resist AI?" but "how do we design AI that cultivates rather than replaces?" — and Brooks gets to this (the personal-trainer-not-encyclopedia redesign) but treats it as an afterthought rather than the main event.

The Augustinian undertow: Brooks's conclusion — "life is a pilgrimage" — is doing real theological work he doesn't fully own in the essay. The entire framework assumes that becoming a formed self is the highest good, that suffering-for-something is intrinsically valuable, that desire-structuring is the central human project. These are defensible positions but they're not neutral observations. A utilitarian would look at the same data and say: if AI makes people 40% more productive at the cost of 11% less intrinsic motivation, that's a bargain — most work isn't done for intrinsic satisfaction anyway. Brooks's case only works if you already believe the pilgrimage is the point, not the destination.

Related Pages

Sources: The People Who Will Thrive in the AI Age Last updated: 2026-07-03