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Table of Contents
TL;DR - Key Takeaways
  • ADHD traits - novelty-seeking, risk-taking, broad scanning - were adaptive advantages for early human explorers and hunters.
  • The 'variability selection hypothesis' suggests ADHD genes persisted because unpredictable environments rewarded cognitive flexibility.
  • DRD4-7R, an ADHD-associated gene variant, is more common in populations with histories of long-distance migration.
  • Modern tech environments - fast-paced, novel, requiring rapid context-switching - may recreate the conditions where ADHD traits thrive.

The Evolutionary Perspective: ADHD From Hunter-Gatherers to the AI Era

1. The Hunter vs. Farmer Hypothesis (Thom Hartmann, 1993)

The Theory

Humans spent 200,000+ years as hunter-gatherers. ADHD = behavioral strategies adaptive for hunting but maladaptive in “farmer” environments (schools, offices, bureaucracy).

Hunters needed: hypervigilance, impulsivity (snap decisions), hyperfocus (locking onto prey), novelty-seeking (exploring new territories) Farmers needed: patience, routine, delayed gratification, sustained monotonous attention

People with ADHD are “hunters living in a farmer’s world.”

Scientific Evidence

The Ariaal Study (Eisenberg, 2008) Studied the Ariaal people of Kenya (some nomadic, some settled):

  • Men with DRD4/7R allele (ADHD-associated) were better nourished in nomadic group but less nourished in settled group
  • Same gene = opposite outcomes depending on environment
  • “Behavior differences associated with ADHD are more or less effective depending on the environment”

The Berry-Picking Study (2024, Proc. Royal Society B) 457 participants in online foraging game:

  • ADHD-positive screeners abandoned depleted patches more quickly
  • Collected more berries overall
  • ADHD tendency to move on = optimal foraging strategy

Group Foraging: Groups performed better when an ADHD-hyperactive individual was substituted for a control member.

The AI Era as Return to “Hunter” Conditions

The AI era represents hunter-like environmental conditions:

  • Rapidly shifting landscapes
  • Novel threats/opportunities appearing unpredictably
  • Massive reward for quick exploration and pattern-spotting
  • Diminishing returns on routine exploitation (which AI handles)
  • The “farmer’s world” of repetitive office work = what AI automates away

2. ADHD and Entrepreneurship

Prevalence

  • ~30% of entrepreneurs have ADHD or dyslexia or both
  • University graduates with ADHD are 2x more likely to start their own business

Notable ADHD Entrepreneurs

  • David Neeleman (JetBlue): “If someone told me you could be normal or continue to have ADHD, I would take ADHD.”
  • Richard Branson (Virgin Group): Credits ADHD-driven creativity and risk-taking
  • Paul Orfalea (Kinko’s)
  • Charles Schwab (discount brokerage pioneer)
  • Ingvar Kamprad (IKEA)

Trait Mapping to AI-Era Programming

ADHD Entrepreneurial TraitAI-Era Programming Equivalent
Risk tolerance, rapid pivotingBold architectural approaches with AI
Hyperfocus on novel problemsDeep engagement with new AI paradigms
Cross-domain pattern recognitionConnecting concepts for creative prompting
Intuitive decision-making under uncertaintyNavigating rapidly evolving AI landscape
High energy, action orientationRapid prototyping with AI pair programming

3. Historical Creative Geniuses with ADHD Traits

Leonardo da Vinci (1452-1519) — Strongest Case

Formally argued by Catani & Mazzarello in Brain (2019):

  • Chronic inability to finish projects (Mona Lisa took 16 years)
  • Notebooks jump erratically between anatomy, engineering, botany, geology, optics, military design — often on the same page
  • Perpetually behind on commissions, frustrating patrons
  • Left-handed, mirror writing (common in ADHD)

Despite — or because of — these traits, he accomplished more across more domains than almost any human in history.

Albert Einstein (1879-1955)

  • “Disorganized and forgetful as he was insightful and intelligent”
  • Failed in structured school environments
  • Thought in images/spatial relationships, not verbal/sequential
  • Revolutionary insights from thought experiments, not systematic calculation

Thomas Edison (1847-1931)

  • 1,093 patents across wildly different fields
  • “Constant need to study and uncover something new due to hyperactivity”
  • Pulled out of school because teachers couldn’t manage him
  • Failed thousands of times, excelled at rapid broad exploration

The Pattern

All share: inability to function in structured institutions, extraordinary breadth, chronic difficulty finishing, world-changing contributions from seeing connections others missed. Exactly the profile AI now amplifies.


4. The Variability Advantage in Evolution

Why ADHD Genes Persist (5-10% of Population)

If purely disadvantageous, natural selection would have reduced ADHD frequency over millennia. The DRD4-7R allele shows evidence of positive selection.

Group-Level Advantage

The cost of lacking an unpredictable minority in a rapidly changing environment is FAR GREATER than the cost of including such a minority in a stable environment.

A 2025 paper proposes a “Polygenic Threshold Model for Cognitive Specialization”:

  • Neurodiversity = evolutionary strategy maintained by balancing selection
  • Promotes cognitive specialization within ancestral groups (~150 individuals)
  • Enhances collective problem-solving and adaptability
  • ADHD = biological altruism: individually costly, group-beneficial

The Environmental Matching Principle

ADHD traits are not universally advantageous or disadvantageous — they are environment-dependent.

EnvironmentADHD Outcome
Stable, structured (agriculture, offices)Net negative
Rapidly changing, unpredictable (hunting, AI era)Net positive

AI is creating the most rapidly changing professional environment in human history. This maps directly to conditions where ADHD traits show evolutionary advantage.


5. The Explore vs. Exploit Tradeoff

The Framework

In reinforcement learning: explore (try new options) vs. exploit (use what works). Optimal behavior requires balance.

ADHD = Exploration Bias (Neuropsychopharmacology, 2021)

  • ADHD participants made significantly more exploratory decisions
  • Earned fewer points in tasks designed to reward exploitation
  • Higher ADHD symptoms = more value-free random exploration (less strategic but more diverse)
  • Confirmed in 2025 BMC Psychiatry review: “ADHD exhibits overly active exploration, manifesting as impulsiveness and challenges in sustained exploitation”

The Neurobiological Mechanism

  • Dopaminergic dysregulation directly shifts the explore-exploit balance
  • Phasic/tonic dopamine imbalance produces response variability (hallmark of ADHD)

The AI-Era Mapping

This is the most powerful conceptual connection:

RoleActorStrength
ExplorationADHD humanTrying unconventional approaches, questioning solution spaces, spotting novel connections, abandoning depleting resources
ExploitationAIImplementing known patterns, applying best practices, generating boilerplate, optimizing within parameters

The optimal human-AI team: ADHD human provides the EXPLORATION signal (what to build, what to try, what to abandon). AI provides the EXPLOITATION capacity (how to build it correctly, efficiently, completely).

This compensates for ADHD’s core weakness (sustained exploitation/implementation) while leveraging its core strength (broad, rapid exploration).


6. The Scanner/Multipotentialite Profile

Barbara Sher’s “Scanner” (2006)

  • “Genetically wired to be interested in many things”
  • Cyclical Scanners: rotate between similar interests
  • Sequential Scanners: series of unrelated interests, appear to “drop” each one

Emilie Wapnick’s “Multipotentialite”

  • TED Talk: 8+ million views
  • People with many interests rather than one specialist calling

ADHD Overlap

  • Strong overlap with Scanner/multipotentialite profiles
  • Interest-driven nervous system + novelty-seeking + rapid domain-cycling
  • Distinction: Scanners can focus without attention interference; ADHD adds neurological regulation difficulty
  • Many people have BOTH

AI-Era Advantage

  • Breadth becomes executable: Scanner’s “mile wide, inch deep” + AI depth on demand = strategic layer directing deep execution
  • Cross-domain pattern recognition: Scanners see connections between fields; AI implements them
  • Rapid context-switching: Scanners practiced at extracting key principles from new domains = directing AI across diverse problems

The Convergence

ThreadCore FindingAI-Era Implication
Hunter-FarmerADHD = hunter traitsAI era = return to “hunter” environment
Entrepreneurship30% of entrepreneurs have ADHDAI coding = entrepreneurial coding
Historical geniusesBreadth + connection-findingAI handles depth; ADHD provides breadth
VariabilityEnvironment-dependent advantageMost rapidly changing environment in history
Explore-ExploitADHD biased toward explorationAI is ultimate exploitation machine
ScannerBroad interests + rapid switchingAI provides on-demand depth

The AI era may represent the first time since the hunter-gatherer period that environmental conditions systematically favor the ADHD cognitive profile.

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