Платформенная экономика и Big Tech

Политэкономия платформ: власть Big Tech Цифровые платформы — Amazon, Google, Apple, Meta, Microsoft — стали доминирующими экономическими институтами XXI века. Их рыночная капитализация превышает GDP большинства стран. Платформенная экономия создаёт новые формы market power, raises novel regulatory challenges и fundamentally изменяет relationship между бизнесом, государством и гражданами. Экономика платформ Network effects: ценность платформы растёт с количеством пользователей. Positive feedback loop: больше users → больше value → ещё больше users. Это создаёт winner-take-all dynamics. Multi-sided markets: платформы соединяют разные группы пользователей (buyers/sellers, users/advertisers). Cross-side network effects усиливают lock-in. Data as asset: платформы accumulate massive data about users, transactions, behaviour. Data enables personalization, targeting, prediction. Economies of scale в data — больше data → лучше algorithms → more users → more data. Zero marginal cost: digital goods и services have near-zero marginal cost. First copy expensive, subsequent copies free. Enables rapid scaling. Market Power и антимонопольные вызовы Traditional antitrust focuses на prices. Но многие platforms free для users. Harm проявляется в других формах: quality degradation, privacy erosion, innovation suppression. Killer acquisitions: покупка потенциальных competitors (Instagram, WhatsApp by Meta). Stifles competition before it develops. Self-preferencing: platforms favour own products в marketplaces (Amazon Basics, Google Shopping). Conflicts of interest inherent. Gatekeeper power: control over access to users даёт leverage над businesses dependent on platform. App Store policies, Amazon marketplace terms. Regulatory responses: EU Digital Markets Act (DMA) — designates gatekeepers, imposes obligations (interoperability, non-discrimination). US antitrust lawsuits (Google search, Meta acquisitions). UK Digital Markets Unit. Japan, Korea — platform-specific regulations. Data и Privacy Surveillance capitalism: business model основанный на extraction и monetization личных данных. Advertising targeting, behavioral prediction. Data protection regulations: GDPR (EU), CCPA (California) — rights to access, delete, port data. Consent requirements. Global fragmentation в data governance. Data as infrastructure: data necessary для AI development, innovation. Questions about data access, data sharing. Proposals для data commons, data trusts. AI training data: contentious issues around copyright, consent, compensation. Artists, publishers vs AI companies. Platforms и Democracy Content moderation: platforms make decisions about speech на massive scale. Removal, demonetization, algorithmic suppression. Private governance of public discourse. Misinformation и disinformation: social media amplifies false information. Elections, public health (COVID) affected. Platform responsibility debates. Filter bubbles и polarization: algorithms optimize for engagement, may increase polarization. Echo chambers. Democratic deliberation affected. Media displacement: platforms captured advertising revenues от traditional media. Local journalism особенно affected. Implications для informed citizenry. Labour и Gig Economy Platform labour: Uber, DoorDash, TaskRabbit — workers classified как independent contractors. Flexibility, но без benefits, protections. Worker classification battles в courts и legislatures. Algorithmic management: algorithms assign work, set prices, evaluate performance. Workers subject to opaque algorithmic control. Power asymmetry. Global Governance Challenges Jurisdictional conflicts: platforms operate globally, regulations national. Enforcement challenges. Data localization debates. Tax avoidance: digital services difficult to tax under traditional rules. OECD global minimum tax, digital services taxes. Platform power vs state power: крупнейшие platforms have resources exceeding many states. Negotiations, not simply regulation.