Platformization

Working Definition

Platformization (spelled platformisation in British and European scholarship) is the process by which a digital intermediary connecting two or more distinct groups of users ceases to be merely one commercial service among others and becomes unavoidable infrastructure—the mandatory gatekeeper for reaching customers, finding work, addressing an audience, or accessing sectoral data. Analytically, the concept captures three simultaneous transformations: a technical shift (application programming interfaces, software development kits, and data standards force external actors to make their products “platform-ready”), an economic shift (fragmented bilateral exchanges are reorganized into centralized multi-sided markets governed by network effects and transaction tolls), and a governance shift (the platform's private terms of service, ranking algorithms, and de-platforming rules function as the de facto law of an entire sector). While everyday commentary uses “platform” as a loose synonym for any giant tech firm, in rigorous usage platformization denotes a portable organizational template that reshapes agriculture, logistics, universities, or public administration just as thoroughly as social media.

Genesis and Global Lineage

Before scholars could analyze platformization as a process, they first had to deconstruct the word platform: in a landmark 2010 article, Tarleton Gillespie showed how firms like YouTube deployed the metaphor of a flat, open “platform” to pitch themselves to creators as empowering stages, to advertisers as curated venues, and to legislators as neutral conduits exempt from publisher liability. The process noun platformization then emerged between 2015 and 2019. First, in software studies, Anne Helmond (2015) coined “the platformization of the web” to describe a dual technical movement: how social networks like Facebook decentralized their infrastructure across the web via APIs and login widgets while recentralizing data collection by forcing third-party websites to make their data “platform-ready.” Second, in political economy, Nick Srnicek's Platform Capitalism (2016) situated the rise of the platform firm within the history of capitalist crises—showing how the 1970s manufacturing downturn, the 1990s dot-com boom, and post-2008 low interest rates drove venture capital into a corporate form designed to monopolize data extraction by positioning itself between users. In 2018–2019, the “Amsterdam school” (José van Dijck, Thomas Poell, David Nieborg, and Martijn de Waal) synthesized these strands with infrastructure studies (Jean-Christophe Plantin et al., 2018), coining the formula that platforms are becoming infrastructures, while infrastructures are being rebuilt as platforms.

Central European Lineage

We found no documented link between this concept and the intellectual history or historical experience of Central Europe.

Why Now

Between 2018 and 2026, platformization graduated from media-studies seminars into the core framework of competition law. The 2018 Cambridge Analytica scandal exposed the political consequences of Helmond's API-driven platformization, showing how Facebook's social graph plugins allowed third-party developers to harvest population-scale psychological profiles. Two years later, the COVID-19 pandemic (2020–2021) compressed a decade of institutional platformization into weeks: public schools, universities, healthcare consultations, and restaurants migrated wholesale onto private cloud and marketplace infrastructures (Zoom, Microsoft Teams, Google Classroom, Amazon, Uber Eats)—turning private corporations into essential public utilities without a public mandate. The European Union responded by translating the academic concept into statutory law: the Digital Markets Act (DMA, 2022) codified the status of “gatekeepers” controlling “core platform services,” while the Digital Services Act (DSA) imposed due-process obligations on Very Large Online Platforms. Between 2023 and 2026, the same infrastructural play has unfolded in generative artificial intelligence, as foundation-model laboratories (OpenAI, Anthropic, Google, Meta) and cloud hyperscalers race to turn their APIs and model hubs into the mandatory platform layer for all downstream software.

Explanatory Power

Platformization reveals the common structural grammar uniting conflicts that otherwise look like isolated industry disputes. First, it reframes the legal war between Epic Games and Apple/Google (2020–2025) over the 30% app-store commission: what looks like a commercial fee dispute is a constitutional conflict over whether a company that has platformized mobile computing may levy a private tariff on digital commerce and dictate which payment rails developers use. Second, it explains the crisis of professional journalism and cultural production: newspapers and musicians had their distribution channels platformized by search engines, social feeds, and streaming aggregators that unbundled articles and songs from their institutional sources and forced publishers to reformat their work to appease opaque ranking algorithms. Third, it shows why a farmer locked into John Deere's tractor telemetry, a courier working via a delivery app, a merchant selling on a dominant national e-commerce marketplace (such as Poland's Allegro, backed by the dense network of InPost parcel lockers), and a YouTuber chasing algorithmic reach all occupy the same structural position: they bear the capital and risk of production while operating on an infrastructure whose owner can unilaterally rewrite the rules of visibility, pricing, and market access overnight.

Axes of Debate

Underappreciated Angle

While critical scholarship overwhelmingly treats platformization as something that predatory corporations do to the state and civil society, the most consequential transformation of the 2020s is the self-platformization of the state itself. Across Europe and Asia, governments are rebuilding public administration around the exact architectural template pioneered by Silicon Valley: centralized national digital-identity wallets (such as Poland's mObywatel or Ukraine's Diia), mandatory real-time e-invoicing platforms, unified patient health portals, and municipal operating systems. In doing so, the state becomes a platform operator in its own right—formatting citizen-state relations around APIs, push notifications, and centralized data lakes. This cuts in two opposite directions. When a public school system or health service adopts a commercial cloud platform as its backbone, the state surrenders autonomy to private gatekeepers; conversely, when a democratic polity builds open Digital Public Infrastructure (DPI)—such as India's Unified Payments Interface (UPI), Brazil's Pix payment rail, or Estonia's X-Road data-exchange layer—it uses platformization to create a non-extractive public rail on which private firms compete without any corporation owning the tollbooth. The decisive political question is not how to stop platformization, but whether foundational platforms will be governed as private rent-extracting fiefdoms or accountable public commons.