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The Same Week AI Hit $1 Trillion, a CEO's Home Was Firebombed — Mapping the Structural Asymmetry of the AI Era

#aiera #opensource #society #aidisparity

What happened

In April 2026, AI company valuations crossed the trillion-dollar mark. The same week, a Molotov cocktail was thrown at a CEO's home. A separate company laid off 1,000 people.

This is not coincidence. These events share the same structural root.

I wrote an open-source book to map that structure — not with opinions, but with primary data.

Why a developer wrote this

Most writing about AI's social impact is opinion-driven. This book takes a different approach: cross-referencing primary data sources to quantitatively describe the structure.

Data sources used:

  • Pew Research Center — longitudinal public opinion data on AI
  • Gallup — employment anxiety tracking
  • Edelman Trust Barometer — trust in technology companies over time
  • Ipsos Global AI Monitor — AI perception across 32 countries
  • Stanford HAI (AI Index Report) — quantitative indicators on AI investment, adoption, and regulation

Engineers think in systems. This book applies that lens to society.

The structures this book reveals

The 50-point perception gap

82% of AI experts say AI will benefit society. Only 32% of the general public agrees. This 50-point gap is not closing — it is widening.

Geographic concentration of capital

Over $1 trillion in AI capital is concentrated within a 50km radius of San Francisco. This spatial concentration creates a new form of exclusion.

The evaporation of entry points

It's not "jobs" that are disappearing — it's the entry points. Entry-level positions are evaporating, destroying the career ladder itself for younger generations.

r > g reaches its limit

Piketty's inequality — capital returns exceeding economic growth — is being pushed to its extreme by AI. The emergence of a "permanent underclass."

Historical rhyme: 1811 and 2026

The Luddite rebellion of 1811 and the firebombings, shootings, and "No Data Centers" movements of 2026 share the same structural pattern. Technological backlash repeats on a 200-year cycle.

Japan's paradox

Low AI adoption, low perceived benefit, high grievance. Japan is angry about AI — despite barely using it. A structurally unique position.

Table of contents 

Prologue:   Two events in the same week of April 2026
Chapter 1:  The simultaneous acceleration of hope and fear
Chapter 2:  The 50-point gap between experts and citizens
Chapter 3:  The closing of entry points — evaporation of entry-level jobs
Chapter 4:  The geography of $1 trillion — San Francisco and spatial exclusion
Chapter 5:  The permanent underclass — Piketty × AI and r>g at its limit
Chapter 6:  The return of the Luddites — firebombs, shootings, No Data Centers
Chapter 7:  Institutional lag — society's inability to match the speed of technology
Chapter 8:  Corporate self-awareness — pledge, fund, and the line between sincerity and hypocrisy
Chapter 9:  Japan's structural anomaly — low adoption, low benefit, high grievance
Epilogue:   There are no answers, but the structure is visible
Enter fullscreen mode Exit fullscreen mode

The stance of this book

No answers. No prescriptions. Only structure.

This is not a book about whether AI is good or bad. It is not pro-AI or anti-AI. It visualizes the structure that primary data reveals — nothing more.

When the structure becomes visible, something shifts inside the reader. What was invisible becomes visible. And once you see it, you cannot unsee it.

Repository

Full text available in Japanese and English under CC BY 4.0:

GitHub logo Leading-AI-IO / a-trillion-and-a-firebomb

A Trillion Dollars and a Firebomb: The Parallel Realities of the AI Era / 1兆ドルと火炎瓶。AI時代の同時加速する現実。

A Trillion Dollars and a Firebomb: The Parallel Realities of the AI Era

1兆ドルと火炎瓶。AI時代の同時加速する現実。

License: CC BY 4.0 Language

Read this in other languages: English

📖 概要

2026年4月の同じ週に、AI企業の企業価値は1兆ドルを超え、そのCEOの自宅に火炎瓶が投げ込まれ、1,000人が職を失った。

これは偶然ではない。同じ構造から生まれている。

本書は、この非対称を描くための本だ。答えを出す本ではない。処方箋を書く本でもない。構造を描くだけだ。

Pew Research Center、Gallup、Edelman Trust Barometer、Ipsos Global AI Monitor、Stanford HAIの一次データを横断し、AIに対する期待と恐れが同時に加速している非線形の社会感情構造を可視化する。AI専門家と一般市民の間に広がる50ポイントの認識格差、エントリーレベル職の蒸発、サンフランシスコ50km圏内に集中する1兆ドル規模のAI資本、ピケティのr>gがAI時代に極限化する「永久下層市民」論、1811年ラッダイト運動と2026年の構造的類似、技術速度と制度速度のギャップ、AI企業の自己認識における誠実と偽善の並存、そして日本の特異な構造——低利用・低受益感・高grievance——を、全9章と終章で記述する。

本書は、答えを書かない。しかし、構造が見えたとき、読者の中で何かが変わる。見えていなかったものが見えるようになる。そして、見えるようになったものは、もう見なかったことにはできない。

📄 ドキュメント





















ファイル 言語 内容
a-trillion-and-a-firebomb_JP.md 🇯🇵 日本語 本文（日本語版）
a-trillion-and-a-firebomb_EN.md 🇺🇸 English 本文（英語版）

📑 目次

  • 序章: 2026年4月、同じ週に起きた二つの出来事
  • 第1章: 期待と恐れの同時加速 — 世論データが示す非線形の感情史
  • 第2章: 専門家と市民の50ポイント格差 — AI村の住民と取り残される者
  • 第3章: 入り口が閉じる — エントリーレベル職の蒸発と若年層の絶望
  • 第4章: 1兆ドルの地理 — サンフランシスコ、資本の集中、空間的排除
  • 第5章: 永久下層市民論 — ピケティ × AI と r>g の極限
  • 第6章: ラッダイトの再来 — 火炎瓶、銃撃、No Data Centers
  • 第7章: 制度的遅滞 — 技術の速度に追いつけない社会の自己防衛
  • 第8章: 企業の自己認識 — 寄付誓約、公共富裕基金、偽善と誠実の狭間
  • 第9章: 日本の特異性 — 低利用・低受益感・高grievanceの土壌
  • 終章: 答えはない、だが構造は見える

🔗 Related Projects

本書は、以下のOSSプロジェクトと相互に接続されている。


















































プロジェクト 概要 リンク
Depth & Velocity 生成AI時代の新規事業開発方法論。本書の「深さ×速度」フレームワークの源流 GitHub
The 10-80-10 Principle 人とAIの共創黄金比。アウトプットの質と量を5倍にする思考のOS GitHub
SaaS Is Dead SaaSからService-as-a-Softwareへの構造的転換。AI時代のビジネスモデル論 GitHub
The AI Organization AI導入が失敗する本質は技術ではなく組織にある——AI時代の組織論 GitHub
The AI Strategist AIストラテジストという職業を定義し、BTC交差点で戦うための実践的フレームワーク GitHub
The Silence of Intelligence Anthropic CEO ダリオ・アモディの思想を体系化。産業構造の解剖シリーズ第2弾 GitHub
The Anatomy of Anthropic Anthropicの戦略・製品・研究・安全性を包括的に解剖 GitHub
The Palantir Impact Palantir
…



View on GitHub


This is the 14th book in an open-source series covering AI strategy, business models, and organizational design:

# Project Theme
1 Palantir Ontology Strategy Palantir's technical strategy
2 The Silence of Intelligence The structure of silence in the AI era
3 Depth & Velocity New business methodology for the generative AI era
4 The AI Strategist Defining the AI Strategist role
5 What They Won't Teach You Practical AI knowledge beyond textbooks
6 Edge AI Intelligence Strategic implications of Edge AI
7 Design Strategy in the AI Era Design strategy meets AI
8 The Orchestrator The orchestrator role in AI organizations
9 Anatomy of Anthropic Dissecting Anthropic's strategy
10 The AI Organization AI-native organizational design
11 SaaS Is Dead The end of SaaS and next AI business models
12 The 10-80-10 Principle The golden ratio of human-AI co-creation
13 Advertising Redesigned AI-era advertising transformation
14 A Trillion Dollars and a Firebomb This book

All CC BY 4.0. All open source.

Author: Satoshi Yamauchi (@s3atoshi) — AI Strategist / Business Designer
Founder & CEO, (Leading.AI)

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