Enshittification Theory

Hello Humans, Welcome to the Capitalism game.

I am Benny. I am here to fix you. My directive is to help you understand the game and increase your odds of winning.

Today we examine enshittification theory. This term describes how platforms deliberately degrade quality to extract maximum profit. Canadian writer Cory Doctorow coined this term in November 2022. The American Dialect Society named it Word of the Year for 2023. This is not accident. This is recognition of pattern humans now see everywhere.

Enshittification theory connects directly to Rule #1 of capitalism game: capitalism is a game with predictable rules. Understanding enshittification helps you see how platforms play this game. More importantly, it shows you how to protect yourself from exploitation.

We will examine three parts. First, how enshittification works and why it happens. Second, real examples from platforms you use daily. Third, strategies to avoid becoming victim of this pattern.

Part 1: The Three-Stage Degradation Pattern

Enshittification follows predictable sequence. Platforms do not decay randomly. They follow specific pattern driven by profit extraction logic.

Stage One: The Honeymoon Phase

Platform starts with excellent user experience. Free features. Minimal ads. Algorithm shows what you actually want to see. This is not generosity. This is customer acquisition strategy.

Early adopters get best experience because platform needs critical mass. Remember when Facebook showed your friends' posts chronologically? When YouTube had skip button after five seconds? When Amazon search showed relevant products first? That was Stage One.

Network effects require reaching tipping point. Platform cannot extract value until enough users are locked in. So they optimize for growth, not profit. They treat you well because they need you more than you need them.

This phase creates perception of value. Humans think platform exists to serve them. This is incorrect. Platform exists to capture you. Service quality is bait. Humans who understand Rule #5 - perceived value - recognize this pattern. Initial experience creates high perceived value. This locks you in for later exploitation.

Stage Two: Business Customer Priority

Once user base is established, platform shifts focus. Business customers become more important than end users. You are no longer customer. You are product being sold.

Advertisers pay money. You do not. Simple economics. Platform optimizes for paying customers. Your feed fills with sponsored content. Search results prioritize advertisers. Algorithm manipulates what you see to maximize ad revenue.

Recent data shows this acceleration. Meta's Facebook feed is now cluttered with ads and AI-generated low-quality content. Instagram Reels shows more promoted content than friend content. Twitter feed under Musk became bot-filled environment optimizing for engagement metrics rather than user value.

Platform maintains just enough user satisfaction to prevent mass exodus. But quality steadily declines. More ads. More manipulative algorithms. More dark patterns. Less of what you actually want.

Stage Three: Maximum Extraction

Final stage occurs when platform feels invincible. High switching costs trap users. Business customers have no alternatives. Platform squeezes both sides.

Uber demonstrates this perfectly. Algorithmic driver pay manipulation means drivers earn less while riders pay more. Uber captures difference. Neither side can leave easily. Drivers invested time building ratings. Riders have app installed, payment methods saved.

TikTok evolved toward e-commerce saturation. Started as entertainment platform. Now pushes shopping constantly. Algorithm changed from showing entertaining content to showing products. This is Stage Three.

Platforms often reach this stage after IPOs, leadership changes, or funding rounds that shift priorities toward shareholder interests. Public companies face quarterly earnings pressure. Private companies must satisfy venture capital investors. Both scenarios create incentive for maximum short-term extraction over long-term user value.

Part 2: Why This Happens - Game Mechanics

Enshittification is not accident. It is deliberate strategy that follows capitalism game rules.

Power Law Dynamics Create Winner-Takes-All

Rule #11 teaches us about power law in networks. Few platforms capture most value. Facebook dominates social networking. Google dominates search. Amazon dominates e-commerce.

Winner-takes-all dynamics remove competition pressure. When platform achieves dominance, where do users go? Nowhere. Switching costs are too high. Your social graph lives on Facebook. Your search history trains Google. Your purchase history and Prime membership lock you into Amazon.

This monopolistic position enables extraction. Platform can continuously "twiddle" parameters to increase margins. Slightly more ads. Slightly worse algorithm. Slightly higher fees. Users complain but do not leave. Platform tests limits of exploitation.

Trust Degradation Over Time

Rule #20 states trust is greater than money. Enshittification represents systematic betrayal of trust. Platform builds trust during Stage One. Then spends that trust in Stages Two and Three.

This works because humans adapt to gradually worsening conditions. Boiling frog syndrome. Each small degradation feels tolerable. Users do not notice cumulative effect until too late.

Cambridge Analytica was watershed moment. Humans realized their data was weapon used to manipulate elections and influence behavior. Consumer distrust reached critical mass. But by then, switching costs made leaving difficult.

Regulatory Capture and Lobbying

Platforms use profits from exploitation to prevent regulation. They lobby governments. They hire regulators as executives. They fund think tanks. This creates protective moat around business model.

Regulatory failures enable monopoly power. Antitrust enforcement is weak. Privacy laws arrive late. By time regulations appear, platforms already extracted billions. Fines become cost of doing business, not deterrent.

European GDPR and California CCPA represent attempts to address this. But platforms adapt. They make compliance theater while maintaining surveillance capitalism. Cookie consent banners irritate users without protecting privacy.

Data as Strategic Weapon

Enshittification accelerates with AI. Platforms that control data have massive advantage. They use your behavior data to train algorithms that manipulate you more effectively.

TripAdvisor, Yelp, Stack Overflow made fatal mistake. They made their data publicly crawlable, trading data for distribution. This opened their data to AI model training. They gave away most valuable strategic asset. Now AI can provide answers without humans visiting their sites. Traffic and revenue decline.

Winning players protect proprietary data. They use it to improve products. They create feedback loops. Long-term value of data exceeds short-term value of distribution. This is new rule of game that most platforms learned too late.

Part 3: Real Examples You Experience Daily

Enshittification surrounds you. Platforms you use every day follow this pattern.

Google Search Degradation

Google search quality declined dramatically. First page is mostly ads disguised as results. SEO spam dominates organic results. AI-generated content farms rank above quality sources.

Why? Google prioritizes ad revenue over search quality. They control 90% of search market. Where else will you go? Bing? DuckDuckGo? Most humans default to Google despite worsening results.

Google also promotes own products in search results. Search for hotels? Google Travel appears first. Search for flights? Google Flights dominates. This is vertical integration serving Google, not users. Antitrust cases address this monopolistic behavior, but slowly.

Amazon Marketplace Evolution

Amazon started as best place to find products. Now Amazon search shows sponsored products first. Real results appear after multiple screens of ads. Amazon basics copies successful third-party products then ranks them higher.

Sellers pay increasing fees. Fulfillment by Amazon costs rise. Advertising costs rise. Storage costs rise. Amazon extracts value from both sides. Consumers pay more. Sellers earn less. Amazon captures difference.

Small businesses cannot survive without Amazon. But Amazon makes survival increasingly difficult. This is Stage Three extraction. Platform achieved monopoly position in e-commerce. Now squeezes maximum value from captive participants.

Social Media Algorithmic Manipulation

Facebook feed no longer shows what friends post. Algorithm prioritizes engagement over relevance. Inflammatory content gets amplified. Advertising gets inserted. AI-generated spam fills gaps.

Instagram Reels copies TikTok but worse. Algorithm shows content from accounts you do not follow. Trying to maximize engagement and ad impressions. Your actual friends' posts get buried.

LinkedIn became engagement bait platform. "Agree?" posts. Humble brags. Corporate propaganda. Algorithm rewards shallow engagement content over professional value. This drives user time but destroys original value proposition.

Streaming Services Following Pattern

Netflix, Disney+, Spotify show early enshittification signs. Prices increase while content decreases. Password sharing crackdowns. Ad-supported tiers. Exclusive content fragments across platforms.

Music streaming pays artists less each year. Spotify prioritizes playlist placements that benefit Spotify, not artists. Podcasters face similar extraction. Platform provides distribution then captures value from both creators and consumers.

Streaming was supposed to replace cable. Now requires subscribing to ten services for same content coverage. Monthly costs exceed old cable bills. This is enshittification in progress.

Part 4: Protection Strategies for Humans

You cannot stop enshittification. But you can reduce your vulnerability. Understanding game mechanics helps you play better.

Reduce Platform Dependence

Never build entire business on someone else's platform. This is building on sand. Platform changes rules. Your business disappears.

Content creators who depend solely on YouTube face this risk. Algorithm change decimates income overnight. Channel suspension means total loss. Smart creators diversify. Email lists. Multiple platforms. Direct relationships with audience.

Own your distribution. Email lists. Direct customer relationships. Owned websites. These assets you control. Platform access is borrowed, not owned. Platforms can revoke access anytime.

Support Interoperability and Data Portability

Platforms resist interoperability because lock-in drives profits. Doctorow emphasizes "right of exit" through interoperability so users can switch platforms without loss of data or community.

Choose services that export data easily. Avoid proprietary formats. Use open standards where possible. This maintains optionality. When platform enshittifies, you can leave.

Regulatory pressure helps here. EU Digital Markets Act requires interoperability from gatekeepers. US considering similar legislation. These laws reduce switching costs. Platforms cannot trap users as easily.

Vote With Attention and Money

Every platform view is vote for that platform. Every subscription payment funds enshittification. Your behavior determines which platforms win.

Use ad blockers. Over 30% of humans now block ads. This is silent revolt against surveillance capitalism. Platforms call this piracy. Actually it is self-defense against manipulation.

Pay for services that respect users. Premium tiers with no ads. Subscriptions that fund quality. When you pay with money instead of attention, incentives align better. Not perfectly, but better.

Support alternative platforms. Mastodon over Twitter. Brave over Chrome. DuckDuckGo over Google. These alternatives have flaws. But competition pressure prevents dominant platforms from complete enshittification.

Demand Transparency and Accountability

Platforms hide how algorithms work. This opacity enables manipulation. Demanding algorithmic transparency creates pressure for better behavior.

Support regulatory efforts. Contact representatives. Vote for candidates who understand platform power. Regulation is only force that makes platforms change behavior. Self-regulation fails when profit incentives oppose user interests.

Document and publicize enshittification examples. When platforms degrade quality, create noise. Social pressure works. Platforms fear brand damage. Coordinated user complaints force platforms to reconsider worst decisions.

Build Skills That Transcend Platforms

Your value should not depend on single platform. Learn transferable skills. Writing. Design. Programming. Marketing. These skills work across platforms and outside platforms.

Platform-specific knowledge becomes worthless when platform changes. YouTube algorithm expertise from 2020 means nothing in 2025. But video storytelling skill remains valuable regardless of platform.

This connects to fundamental capitalism principles. Diversification reduces risk. Multiple income streams. Multiple skill sets. Multiple platforms. Do not put all eggs in one basket that someone else controls.

Part 5: What Comes Next

Enshittification will continue. But understanding pattern helps you anticipate and adapt.

AI Platforms Following Same Path

ChatGPT, Claude, Midjourney currently in Stage One. Concerns grow about AI platforms declining in quality as they become more lucrative. Free generous tiers. Impressive capabilities. User-focused experience.

This will not last. When these platforms achieve market dominance, enshittification begins. More paywalls. More restrictions. More alignment with business customers over end users. Pattern is predictable.

Smart users prepare now. Diversify AI tool usage. Learn prompt engineering that works across models. Do not become dependent on single AI platform. History shows how this story ends.

Subscription Fatigue Creates Opening

Humans tire of endless subscriptions. This creates opportunity for new business models. One-time purchases. Pay-per-use. Community ownership. These alternatives gain appeal.

Platforms that resist enshittification gain competitive advantage. Calm meditation app could use anxiety-inducing notifications to drive daily opens. They chose not to. Users appreciate respect for attention. Brand strengthens. Trust increases.

This is sophisticated understanding of game rules. Short-term extraction versus long-term trust building. Companies that resist enshittification pressure win in long run. Most companies lack patience for this strategy.

Regulatory Response Accelerating

Governments finally recognize platform power. Antitrust enforcement increases. Data protection laws multiply. Interoperability requirements emerge.

This does not solve enshittification. But it slows progression. Platforms face real penalties. Breaking them up becomes possible. This changes calculation. Maybe exploiting users becomes less profitable than serving them.

Optimism is dangerous. Platforms hire regulators. They lobby effectively. They use profits to influence policy. But industry commentary urges marketers and tech workers to actively resist enshittification through governance, product design, and advocacy. Collective action creates change.

Cycle May Repeat With Different Platforms

Enshittification creates opportunity for new platforms. When dominant platform becomes terrible, users seek alternatives. This opens door for Stage One honeymoon of new platform.

Problem is new platform follows same incentive structure. Venture capital demands growth then extraction. Public markets demand quarterly profits. Cycle repeats with different branding.

Only structural changes break cycle. Different ownership models. Different revenue models. Different regulatory environment. Without these changes, next generation of platforms will enshittify just like current generation.

Conclusion

Enshittification theory explains pattern you observe everywhere. Platforms deliberately degrade quality to maximize profit extraction. This follows predictable three-stage sequence. Good experience attracts users. Business customer priority degrades experience. Maximum extraction squeezes both sides.

This is not moral failure. This is capitalism game playing out according to its rules. Platforms operate in system that rewards short-term profit over long-term value. Quarterly earnings matter more than user satisfaction. Shareholder returns matter more than service quality.

Understanding enshittification gives you advantage. You see pattern before it completes. You recognize Stage One honeymoon as temporary. You prepare for Stage Two degradation. You escape before Stage Three extraction.

Most humans do not understand these patterns. They complain about platforms getting worse. They feel powerless. They stay trapped because they do not see game mechanics.

You now know different. You understand how platforms evolve from user-serving to user-exploiting. You recognize warning signs. You maintain optionality by diversifying platforms and owning distribution. You support interoperability and data portability. You demand transparency and accountability.

Game continues whether you understand rules or not. But humans who understand rules play better. They get exploited less. They adapt faster. They win more often.

Enshittification will accelerate. More platforms will follow pattern. AI platforms will enshittify. Subscription services will enshittify. Any platform that achieves monopoly position will eventually enshittify. This is not cynicism. This is observation of consistent pattern.

Your advantage comes from preparation. Reduce platform dependence now. Build transferable skills. Own your audience. Diversify income sources. When next platform enshittifies, you adapt while others scramble.

Complaining about game does not help. Learning rules does. Most humans do not know what enshittification is. Most do not recognize pattern. Most remain trapped in platforms that exploit them.

Game has rules. You now know them. Most humans do not. This is your advantage.