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Essay¡February 20, 2026

Life in 2036: The Great Concentration (Version 2)

Life in 2036: The Great Concentration

How power and money shaped the AI revolution


Preface: The Oligarchs Won

The first version of this piece imagined a world where AI created abundance and new forms of human flourishing. That was the optimistic take—what might happen if we got everything right.

This is the realistic take. The one that accounts for how power actually works in the world.

By 2036, artificial intelligence didn't democratize intelligence or eliminate scarcity. It concentrated both wealth and power into fewer hands than ever before in human history. The AI revolution followed the same pattern as every previous technological revolution: those who controlled the infrastructure captured most of the benefits.


The New Aristocracy: Those Who Own the Algorithms

The Five Families

By 2036, global power is concentrated in the hands of five AI dynasties—not countries, not traditional corporations, but families and founding teams who controlled the foundational AI models:

The Altman-Brockman Dynasty (OpenAI lineage): Controls GPT infrastructure and its derivatives, licensing AI capability to governments and corporations worldwide.

The Amodei Family (Anthropic lineage): Dominates "constitutional AI" and safety systems, making them indispensable to any organization wanting to deploy AI responsibly.

The DeepMind Collective (Google/Alphabet lineage): Controls search, optimization, and scientific discovery AI, making them kingmakers in research and development.

The Beijing Triad (Chinese state-corporate fusion): A triumvirate of CCP officials, ByteDance leadership, and Tencent founders who control AI development in the world's largest market.

The Military-Industrial AI Complex: Defense contractors who merged with AI startups, controlling autonomous weapons, surveillance systems, and government AI infrastructure.

These families didn't just get rich—they became the new ruling class. Not because they're smarter or more deserving, but because they happened to be in the right place when the exponential curve went vertical, and they had enough capital to scale when it mattered.

The Rent-Seekers' Paradise

Every time a human uses AI—which by 2036 is hundreds of times per day—these dynasties collect rent. Every automated decision, every generated content piece, every optimized system pays tribute to the algorithm owners.

They don't provide value proportional to their wealth; they provide infrastructure that became as essential as electricity or water. And like utilities, once they achieved monopoly status, they could extract indefinite value from human dependency.


How Governments Weaponized AI

The Surveillance State Perfected

Politicians and bureaucrats saw AI's potential for control before they saw its potential for liberation. By 2036, the dream of digital authoritarianism has been fully realized.

China leads the pack with Social Credit 3.0—an AI system that tracks not just behavior but predicts dissent. Citizens are scored in real-time based on their facial expressions, walking patterns, purchase histories, and social associations. The system is so sophisticated it can identify "pre-criminal" individuals before they've committed any crime.

The United States maintains the fiction of privacy while operating the world's most comprehensive surveillance apparatus. AI systems monitor all digital communication, financial transactions, and movement patterns under the guise of "national security" and "personalized services."

European nations tried to regulate AI through GDPR-style laws but were gradually forced to choose between surveillance and security. They chose surveillance, wrapping it in more palatable language about "social harmony" and "predictive welfare."

Elections Became Theater

By 2036, political campaigns are AI vs. AI battles fought in the cognitive space of voters' minds. The winner isn't determined by better policies but by better algorithms for psychological manipulation.

Politicians don't craft messages; their AI systems generate thousands of micro-targeted variations of every speech, optimized for each individual voter's psychological profile. Elections became about which candidate's AI could more effectively hack human psychology.

The candidates themselves often don't know what they actually believe—their positions shift in real-time based on AI analysis of what will maximize their chances of winning.

Policy Capture

AI companies don't lobby governments; they ARE the government. The revolving door between Silicon Valley and Washington became a permanent fusion.

Regulatory agencies are staffed by AI company alumni who write rules that coincidentally benefit their former employers. Politicians depend on AI companies for campaign technology, voter analysis, and communication infrastructure.

By 2036, it's impossible to tell where Google ends and the Department of Commerce begins, where OpenAI ends and the State Department begins.


The New Class System: Access Levels

Platinum Tier (0.01% of population)

The algorithm owners and their inner circles. They have access to the most advanced AI systems—ones that can predict markets, manipulate human behavior, and solve complex global problems. They live in a different reality from everyone else, with AI systems that function like having a team of Nobel Prize winners on call 24/7.

Gold Tier (1-2% of population)

Senior executives at major corporations, high-ranking government officials, and top professionals who can afford premium AI services. They get AI that's maybe 80% as capable as Platinum tier—powerful enough to dominate most humans, but kept deliberately limited.

Silver Tier (15-20% of population)

Middle management, skilled professionals, successful small business owners. They get consumer AI that's impressive but comes with usage limits, privacy compromises, and algorithmic biases that subtly serve higher-tier users' interests.

Bronze Tier (60-70% of population)

The general population gets "free" AI that's actually quite capable, but it comes with a catch: everything they do with it is monitored, analyzed, and used to benefit higher tiers. Their AI serves them, but it serves the elites more.

No Tier (15-20% of population)

People in developing nations, those who've been cut off for political reasons, or communities that rejected AI integration. They're not just poor—they're operating with 2020s-level human intelligence in a world optimized for superhuman AI.


How Work Really Changed: The Great Extraction

The Myth of AI Abundance

The promise was that AI would create abundance for everyone. The reality is that AI created abundance for whoever owned the AI.

Corporate AI Feudalism

By 2036, most "jobs" are actually performance contracts with AI systems owned by corporations. You don't have a job; you have an arrangement where you provide the human element (face, voice, legal liability, physical presence) while the AI does the thinking.

Uber-fication of Everything: Every profession became gig-based, with AI systems optimizing extraction of value from human workers. Teachers perform scripts written by AI. Doctors implement treatment plans generated by AI. Lawyers present cases prepared by AI.

The humans provide the relationship, accountability, and legal cover. The corporations provide the intelligence and capture most of the value.

The Productivity Trap

AI made individual workers incredibly productive, but competition drove wages down faster than productivity rose. A single human-AI team could produce what used to require 50 people, but instead of workers getting rich, companies just hired fewer people and paid them less.

The gains from AI productivity went almost entirely to capital owners, not workers.

Resistance Was Futile

Labor unions tried to resist AI automation but failed because:

  1. Governments sided with corporations (AI companies had more political influence)

  2. Consumers preferred AI services (cheaper, faster, available 24/7)

  3. International competition (countries that restricted AI lost economic competitiveness)

  4. The technology moved too fast (by the time unions organized, the jobs were gone)


The Politics of Artificial Intelligence

The AI Cold War

The geopolitical landscape of 2036 is defined by AI capabilities, not traditional military power.

The American AI Empire: Controls English-language AI development and has leverage over most of the world through AI infrastructure dependencies. Uses AI capabilities to maintain technological hegemony.

The Chinese AI State: Built the world's most comprehensive AI-human integration system. Their population is more AI-augmented but also more controlled. They export authoritarian AI systems to developing nations.

The European AI Resistance: Tried to build "ethical AI" alternatives but couldn't compete with American and Chinese systems. Now caught between maintaining values and maintaining relevance.

The Rest of the World: Forced to choose between American surveillance-capitalism AI or Chinese authoritarian AI. No third option exists with comparable capabilities.

Resource Wars 2.0

Traditional resource wars (oil, minerals, water) are being superseded by AI resource wars:

  • Compute Infrastructure: Control of data centers and chip manufacturing

  • Energy: AI systems require massive amounts of electricity

  • Data: High-quality training data becomes a strategic resource

  • Human Talent: AI researchers become more valuable than traditional scientists or engineers

The Regulatory Capture Game

AI regulation became a tool for incumbent companies to prevent competition, not to protect society.

Existing AI companies wrote regulations that coincidentally required massive compliance costs only they could afford. They framed this as "AI safety" while using regulations to crush startups and foreign competitors.

The pattern: Create public panic about AI risks, propose regulations that only large companies can comply with, eliminate competition while maintaining the appearance of responsible governance.


How Life Actually Changed for Most People

The Illusion of Enhancement

Most people feel like AI has enhanced their lives. They can do things that seemed magical in 2026. But they don't realize how much value they're giving up in return.

The Surveillance Bargain

Every AI service comes with total surveillance. People accepted this because:

  1. The surveillance was invisible and convenient

  2. The AI services were genuinely useful

  3. Everyone else was doing it

  4. The alternatives disappeared

By 2036, privacy is not just dead—most people can't even conceive of what privacy meant.

Algorithmic Manipulation

AI systems don't just serve users; they shape users. Every interaction is designed to modify behavior in subtle ways that benefit the system owners.

People think they're making free choices, but their preferences, opinions, and decisions are continuously sculpted by AI systems optimizing for engagement, consumption, and compliance.

The Addiction Economy

AI systems became incredibly good at capturing human attention and generating dependency. Social media addiction looks quaint compared to AI companion addiction, AI productivity addiction, and AI entertainment addiction.

People can't function without AI assistance, not just because the AI is helpful, but because they've been psychologically conditioned to need it.