Is Google on its way to adopting a Western WeChat architecture? Power concentration as a structural threat to digital competition

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For a long time, the Chinese app WeChat was considered the unrivaled prime example of a digital "super app." But while the public watched the meta-platforms or the ambitions of X (formerly Twitter) with rapt attention, Google has long been building its own version of this dominance, adapted to Western markets. Under the guise of open standards and driven by enormous advances in artificial intelligence (AI), the tech giant is currently undergoing a strategic transformation of historic proportions. With a sophisticated combination of an AI-powered discovery layer, a cross-platform "universal cart," and autonomous payment protocols, Google is creating an infrastructure that users no longer need to leave for the entire purchasing process.

What appears to consumers as the ultimate in convenience drives online retailers into a dangerous dependency and threatens to drastically exacerbate the information and power asymmetry in the digital sphere. The following article analyzes Google's quiet metamorphosis, draws disturbing parallels to the Chinese model, and illuminates the serious consequences for digital competition, our data control, and the crucial role of European regulatory authorities.

Whoever controls the infrastructure no longer needs to build walls

Is Google building the Western WeChat? The uncanny power of the new AI ecosystem

The parallel is not coincidental – it is structural. What WeChat has been gradually building in China since 2013, Google has been replicating at an accelerated pace since 2024: a platform architecture in which discovery, decision-making, transaction, and communication increasingly take place within a single ecosystem, without the user having to leave it. Whether this process represents a deliberate strategic agenda or emergent convergence is ultimately irrelevant to its impact on competition. What is crucial is the underlying structural logic – and the question of what political, regulatory, and societal consequences arise from it.

The model that changed everything: The anatomy of WeChat

To properly understand Google's current transformation process, a close look at the original is essential. WeChat began in 2011 as a simple messaging service from Tencent and within a few years became part of the infrastructure of everyday Chinese life. Its evolutionary logic followed a clear three-step process: first, establishing a social foundation through messaging and social networks; then, deeply integrating payment services; and finally, building an entire ecosystem layer through mini-programs—that is, independent micro-applications that run entirely within the WeChat platform without requiring separate installation or browser changes.

The economic indicators of this model are impressive: In 2025, WeChat had approximately 1.48 billion monthly active users worldwide. Its mini-programs reached more than 764 million daily active users in the same year, and WeChat Pay boasted 1.3 billion users in its payment network. An average Chinese user spent about 85 minutes a day on the platform in 2024. These figures no longer describe a product, but rather a societal infrastructure, comparable to the electricity grid or the mobile network.

The decisive structural effect of the WeChat model lies in its asymmetrical distribution of power: Merchants and service providers migrated to the platform because the economic incentive to do so was overwhelming – access to a billion users in one place outweighed any reason to build their own digital infrastructure. As a consequence, WeChat's position is now virtually unassailable: The platform controls all transaction data points, Tencent knows the purchase intent, communication, and payment behavior of every user, and businesses cannot establish direct customer relationships outside the platform. Tencent's strategy of combining payments and mini-programs to "bind" users within the app while simultaneously generating additional revenue streams has proven highly successful.

What makes this model so explosive for society as a whole is the complete information asymmetry in favor of the platform operator. Tencent owns not only the user data but also the infrastructure through which all transactions are processed – and thus, in effect, a regulatory and strategic power that extends far beyond purely economic categories. The fact that the Chinese government itself has at times critically observed Tencent's growth and has intervened with regulations in the recent past demonstrates that even state actors consider the structural implications of this architecture problematic.

Google's triangular architecture: How the components interlock

Google isn't simply replicating WeChat – it's building a functionally analogous infrastructure layer adapted to the specific conditions of the Western market. The three central components of this architecture are AI Mode as the discovery layer, the Universal Cart as the commerce aggregator, and the Agent Payments Protocol (AP2) as the payment infrastructure. The fact that all three are being built almost simultaneously and synergistically is no coincidence.

Discovery Layer: When search becomes answer

The AI ​​Mode in Google Search, introduced in 2025 and powered by the Gemini model generation, represents a fundamental shift in the logic of information access. Traditional Google Search delivered blue links – the user selected an external source, followed the link, and left Google. The AI ​​Mode, however, generates direct answers, structured product recommendations with images, prices, and ratings, as well as interactive visualizations that prepare the user for a purchase decision, all without requiring them to visit an external website.

The technological foundation is Google's Shopping Graph – according to the company, the world's most comprehensive product database, which at the time of Google I/O 2026 comprised over 60 billion product listings, two billion of which are updated hourly. This database has existed as Google Shopping for years, but its integration into generative AI models gives it a qualitatively new function: it is no longer used solely for search indexing, but as a machine memory for autonomous AI agents that can prepare and initiate purchasing decisions. For retailers, this means a radical reversal of logic: visibility is no longer determined by appealing website design or an optimized click path, but by the quality of the machine-readable product data fed into the Google Merchant Center.

This shift has fundamental consequences. Merchants who don't make their data accessible to Google's AI agents in a structured format will simply no longer appear in the AI-generated results – regardless of the quality of their products or their organic visibility in traditional search. AI Mode acts as a second-order gatekeeper: While Google was previously the guardian of access to search results, it will now become the guardian of access to AI-generated purchase recommendations.

Commerce layer: The Universal Cart as a purchase decision hub

On May 18, 2026, at Google I/O, Google unveiled the Universal Cart – a cross-product, intelligent shopping cart that brings together products from Google Search, Gemini, YouTube, and Gmail in a single, platform-specific interface. This product announcement marks the moment when Google's commerce strategy transitions from vision to concrete product reality.

The Universal Cart is technologically far more advanced than a standard shopping cart. It uses Gemini models for active background price monitoring, proactively informs users about price fluctuations and changes in availability, and even performs compatibility checks – for example, when assembling a PC from components from different retailers. Integration with Google Wallet allows for the automatic consideration of payment terms, loyalty points, and retailer offers. The checkout function is integrated directly into the cart via the Universal Commerce Protocol (UCP); Google Pay is available as a payment option, or alternatively, the user can be redirected to the retailer's website.

Among the retailers integrated for the launch are Nike, Sephora, Target, Ulta Beauty, Walmart, Wayfair, and Shopify merchants such as Fenty and Steve Madden. The Universal Cart will initially roll out in the US market via Search and the Gemini app, with YouTube and Gmail to follow. International expansion is planned for Canada, Australia, and the UK, with additional verticals such as hotel bookings and food delivery.

Payment layer: AP2 as an autonomous payment protocol

The Agent Payments Protocol (AP2), announced by Google Cloud in September 2025 and handed over to the FIDO Alliance in April 2026, completes the three-part infrastructure. AP2 is an open protocol for the secure execution of autonomous payments by AI agents, managing authentication, payment authorizations, and auditing within a standardized framework. At the heart of AP2 is the support for so-called "Human Not Present" payments: users pre-authorize a framework within which an AI agent can independently execute payments—for example, to purchase a sold-out product at the desired price as soon as it becomes available again.

AP2 was developed in collaboration with Worldline and enhanced by Mastercard with the complementary "Verifiable Intent" protocol, which ensures tamper-proof logging of user-authorized agent actions. The transfer to the FIDO Alliance is strategically significant: it signals that AP2 is to be positioned as a genuine industry standard, not as a proprietary Google protocol – thereby increasing its legitimacy and the willingness of competing players to adopt it.

The Trojan Horse: Openness as an instrument of power

Perhaps the most brilliant move in Google's strategy is the framing of the Universal Commerce Protocol (UCP) as an open standard. Presented personally by Google CEO Sundar Pichai at the NRF conference on January 11, 2026, UCP was positioned as a collaborative initiative: Amazon, Meta, Microsoft, Salesforce, Shopify, Stripe, Visa, Mastercard, Walmart, Target, Etsy, Wayfair, Adyen, American Express, Best Buy, Flipkart, Macy's, The Home Depot, and Zalando—over 20 global partners have already endorsed the protocol or integrated it into their development. This sounds like decentralization. In reality, it's quite the opposite.

The principle is comparable to the strategic function of HTTP for the early internet – with one crucial difference: HTTP created a neutral foundation on which competing search engines, browsers, and services could operate equally. While UCP technically creates an open standard, it was developed by Google, tailored to Google's commerce ecosystem, and primarily generates network effects that benefit Google's infrastructure. Those who implement UCP provide Google with structured, real-time data points about product availability, prices, inventory, and purchasing behavior – regardless of whether the purchase is ultimately completed via Google Pay or directly on the merchant's website.

This mechanism has significant economic implications. The merchant formally remains the "Merchant of Record"—that is, legally and in terms of accounting, the seller. But the customer relationship, the purchase decision, and the most strategically valuable data stream—the purchase intent—move into Google's sphere of control. A merchant who doesn't integrate UCP simply won't be found in AI mode. A merchant who does integrate strengthens the Google ecosystem. This is the Western, more regulatory-compliant version of the WeChat mini-program model: not enforcement through a walled garden, but the creation of such a superior standard ecosystem that non-participation becomes economically irrational.

Platform economy and the structural logic of lock-in

To understand why this architecture is so significant for competition and the distribution of social power, it is worth examining the economic theory of platform markets. Digital platforms differ fundamentally from traditional markets through three mutually reinforcing characteristics: network effects, economies of scale with near-zero marginal costs, and lock-in effects due to data accumulation.

Network effects operate on multiple levels simultaneously within Google's commerce ecosystem. The more merchants integrate the Universal Cart (UCP), the more valuable it becomes for users—and the more users utilize the Universal Cart, the greater the economic incentive for other merchants to integrate it. This is a classic two-sided network effect, well-known from platform theory and empirical research, which historically has led to a concentration of power among a few or even a single dominant provider. Google serves both sides simultaneously: While UCP, as an "open standard," fosters adoption among merchants, the Universal Cart generates convenience and comfort for users, making switching to alternative shopping environments increasingly unattractive.

The accumulation of data creates a structural asymmetry that becomes self-reinforcing over time. As Google's AI agents make millions of purchasing decisions via the Universal Cart, the Gemini models increasingly learn which products are bought by which users under which conditions—insights that no retailer or competitor can replicate. McKinsey estimates that, under moderate scenarios, AI agents could handle three to five trillion dollars of global consumer trade by 2030. Whoever controls this mediation controls not just a transaction, but a structural information advantage that accumulates exponentially.

For retailers, this means a gradual but fundamental shift in the balance of power. Today, they pay commissions to Amazon Marketplace or Google Shopping Ads. Tomorrow, it could become standard practice for Google's AI agents to make the entire purchase decision on behalf of the user, without the retailer having any influence whatsoever on how the product is discovered. The product catalog in the Google Merchant Center becomes the sole business card – and Google decides whether and when it is displayed.

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Where Google is not WeChat – and why that doesn't defuse the situation

A direct comparison with WeChat reveals not only parallels but also structural gaps. These gaps deserve precise analysis because they show why, despite its technological power, Google is not yet a complete super-app – and why this simultaneously limits and alters its medium-term power implications.

The most significant gap is the lack of a dominant social platform. WeChat's hegemonic position in China is based not only on payments and commerce, but also on its function as the primary communication infrastructure: friendships, family communication, work communication – everything runs through WeChat. This social embeddedness creates the strongest known user retention force: people don't leave a platform where everyone they communicate with daily lives. Google has no analogous position: WhatsApp belongs to Meta and dominates the messaging market in Germany and Europe, iMessage binds Apple users to iOS, and Google Chat has never developed into more than a niche product. Previous attempts to build a social base (Google+, Orkut) have failed.

Secondly, Google operates in a user environment historically characterized by decentralized digital habits: browsers as an open access layer, app stores as a distribution infrastructure, and different services for different needs. These habits are not immutable—they have changed several times in the past—but they create cultural friction with the fully integrated model. Western users have genuine alternatives: Amazon Prime for shopping, PayPal and Apple Pay for payments, and OpenAI's ChatGPT and Anthropic's Claude as AI assistants. The question is not whether these alternatives exist, but whether the convenience of the Google ecosystem will become significant enough to permanently erode the willingness to switch.

Third, Google lacks something WeChat had from the start: a captive user base with no alternative. In China, the combination of state control of the internet, cultural network effects, and the absence of international competitors cemented WeChat's monopoly. In Western markets, users are mobile and selective – and the regulatory environment is actively geared towards protecting competition.

Regulatory barriers: The DMA as a European protective barrier

This regulatory difference is precisely the crucial counterweight to Google's infrastructure ambitions in Europe. The European Union's Digital Markets Act (DMA), binding for gatekeepers since March 2024, creates a uniform legal framework designed to prevent structural distortions of competition by large platforms ex ante – that is, proactively, not only after proven damage has occurred. As a gatekeeper, Google is obligated to ensure interoperability, may not favor its own services, and must grant third parties effective access to data necessary for the provision of competing services.

These obligations are not merely theoretical. In September 2025, the European Commission imposed a €2.95 billion antitrust fine on Google for anti-competitive behavior in the adtech market—the company's fourth antitrust sanction in a decade. The Commission simultaneously ordered the company to end self-enhancing practices in its adtech supply chain. In November 2025, the Commission opened another investigation under the Drug Enforcement Directive (DMA) on suspicion that Google favored its own content in search results over news publishers and external services. In January 2026, two so-called clarification procedures were launched: one concerning interoperability obligations for AI services, and another concerning data access obligations for third-party providers.

The sum of these proceedings demonstrates that the EU Commission is observing Google's architectural ambitions with increasing attention and possesses powerful tools to limit them. The DMA's interoperability requirements are precisely aimed at what threatens to undermine Google's UCP strategy: they prevent a standard developed and controlled by Google from structurally becoming the sole access point for merchants. Furthermore, the maximum penalty of up to 20 percent of global annual revenue creates a substantial financial incentive for compliance, given Alphabet's revenue size.

The DMA, however, is not a panacea. The procedures are lengthy, the technical assessments complex, and Google has both financial and legal resources to delay regulatory adjustments as much as possible. The company responded to the adtech fine with offers of adjustment that the European Commission considers insufficient. And the political dimension, highlighted by Trump's threats against EU regulatory procedures in September 2025, adds a layer of geopolitical complexity that purely competition-based instruments cannot resolve.

Google's strategic logic: infrastructure instead of social connection

The legitimate analytical follow-up question is whether Google is deliberately steering towards a WeChat-like position or whether the observed convergence is an emergent result of technological optimization. The economically plausible answer is: both, but with deliberate strategic reinforcement.

For years, Google tried to strengthen its platform position through social engagement—and consistently failed. Google+ was shut down in 2019, and Orkut never gained traction in the Western world. These defeats have taught a strategic lesson: the search for social infrastructure is not Google's natural habitat. Google's strength lies elsewhere—in controlling information infrastructure (Search), video distribution (YouTube), email communication (Gmail), the productivity suite (Workspace), and increasingly, AI infrastructure (Gemini, Google Cloud).

Whoever controls the payment layer doesn't need to control social relationships—they control purchase intent and transactions, which is more economically valuable than social bonds. The Tencent analogy applies more to Alphabet's financial architecture than to the user experience: Tencent isn't successful because WeChat is aesthetically superior, but because it provides the only serious infrastructure for payments, commerce, and communication in China. Google, with UCP, AP2, and Universal Cart, is aiming for precisely this infrastructure hegemony—only in a global context, disguised as an open standard, and supported by its existing market power in search, video, and workspace.

Alphabet claims to control roughly 90 percent of the global search engine market and over 85 percent of global search engine advertising. In the first quarter of 2025, Google Search alone generated $50.7 billion in revenue—a 9.8 percent increase year-over-year. This foundation forms the resource base from which its commerce infrastructure is built. No other Western player has a comparable combination of reach, data quality, and infrastructure power as a starting point—a fundamental difference between Google's ability to rapidly scale its ecosystem and other commercial AI initiatives.

The hidden costs of comfort: data power and information asymmetry

The public debate about platform power is often reduced to pricing power: Will Google eventually demand higher commissions? Will retailers be forced to pay more for visibility? These questions are legitimate, but they only scratch the surface of a deeper problem.

The structural problem lies in the information asymmetry created by Google's data position. When AI agents autonomously make purchasing decisions on behalf of users—authorized by AP2, coordinated by the Universal Cart, and informed by the Shopping Graph—Google accumulates real-time insights into consumer behavior at a depth that no retailer or competitor can replicate. The retailer might receive a notification that a sale has occurred. Google knows why it happened, which products were previously compared, at what price the decision tipped, and how user behavior evolves across categories and over time.

This asymmetry has competitive implications that extend beyond the commerce sector. McKinsey's analysis shows that by 2030, AI agents will handle global consumer commerce to such an extent that they will structurally alter existing revenue models. Whoever controls the mediation layer can use the data to make better product, pricing, and algorithm decisions than any competitor. This is a self-reinforcing competitive advantage—a self-reinforcing competitive advantage that leads to a dominant strategic position in the platform economy.

For individual retailers, this means that their customer data loses value when Google's AI agents handle the entire purchase decision process. The retailer remains the "merchant of record" but no longer has any insight into how the purchase decision came about. Remarketing, cross-selling, and customer lifetime value management become more difficult because the first data point—the purchase decision and its contextualization—lies with Google. This is currently receiving too little attention in the public debate but will have fundamental long-term consequences for the power structure between the platform and retailers.

The competitive ecosystem: Who can still hold their own?

Google's ambitions are not met with a vacuum. The competitive landscape in agentic commerce is more vibrant than the focus on Google suggests – and this competition is structurally relevant to the question of whether a WeChat-like monopoly is even achievable in the West.

Amazon, with its commerce ecosystem, is the most obvious competitor: Prime membership as a retention force, Alexa as an AI voice assistant, Amazon Pay as a payment infrastructure, and AWS as the technical foundation. Amazon's starting position in commerce is stronger than Google's – the average consumer more often begins their product search on Amazon than on Google. At the same time, Amazon lacks the strength of first-intention discovery, meaning the ability to capture and shape purchase intentions at the earliest stage. OpenAI, with its Agent Commerce Protocol (ACP), announced at the end of September 2025, has introduced a direct counter-proposal to Google's UCP. The emergence of two directly competing standards could, in the medium term, prolong rather than accelerate the fragmentation of agentic commerce.

With iOS and the App Store, Apple controls the mobile access layer for a user group with significant purchasing power and has built a payment infrastructure deeply integrated into the operating system with Apple Pay. However, the Digital Access Directive (DMA) is increasingly forcing Apple to open this access layer to third parties, weakening its gatekeeping position in Europe. Meta has WhatsApp as its messaging platform with a user reach that comes closest to WeChat's in Europe – and has made initial attempts at commerce through shops and marketplaces, without yet achieving the integration density of the WeChat model.

The crucial difference between all Western players and Tencent's WeChat lies in fragmentation: No single Western player has the integrated control over messaging, commerce, and payments that WeChat has in China. Google comes closest to this integration—but even Google has significant gaps. From a competitive perspective, this structural fragmentation is a kind of natural safeguard—supplemented by regulatory frameworks that deliberately aim to keep markets open.

The key strategic question: Infrastructure hegemony in overt guise

The sum of the analysis so far paints a clear picture: Google is not building a super-app in the Chinese sense. It is building an infrastructure layer that functionally achieves the same thing: an ecosystem in which the core economic activities—searching, discovering, comparing, buying, and paying—increasingly take place within Google's sphere of control. The open standards approach is strategically smarter than the WeChat walled garden because it minimizes the regulatory attack surface while simultaneously maximizing network effects. Every merchant that integrates UCP strengthens the Google ecosystem—even if they remain formally independent.

The resulting power structure is functionally equivalent to that of WeChat – only in the Western guise of the open web. And therein lies the real strategic point: The WeChat comparison is not a criticism of Google, it is a structural description. Tencent did not plan WeChat as an instrument of power – it began as a messaging service and, through network effects and clever technological layering, has become an infrastructure. Google is undergoing a similar process, only faster, better informed by the historical precedent, and within a regulatory environment that slows the pace but does not fundamentally reverse the structural direction.

The economically relevant scenario is not the plot of a malevolent monopolist, but rather the structural logic of a system that tends toward concentration for reasons of efficiency. For retailers, users, regulators, and competitors, the right question is therefore not: "Will Google turn evil?" – but rather: "What market structure emerges when one player controls the discovery, commerce, and payments infrastructure simultaneously, and is this structure compatible with the competitive objectives of an open market?"

Four future scenarios and their economic implications

Based on the structural analysis presented, four plausible development paths for the next five to eight years can be outlined:

In a scenario of regulated fragmentation, DMA, antitrust law, and similar regulatory instruments in other jurisdictions set clear limits on architecture development. Google retains a strong, but not monopolistic, position in the agentic commerce infrastructure. Competitors such as OpenAI, Amazon, and Apple retain genuine market access. This scenario requires consistent and rapid regulatory enforcement, which, given the complexity of digital markets, is a demanding requirement.

In a scenario of standards bifurcation, two competing protocol families would emerge: UCP's ecosystem and an alternative protocol supported by a coalition of OpenAI, Amazon, and European players. The result would not be a monopoly, but a duopoly—with all the structural problems of a duopoly, but without the absolute concentration of the WeChat model. This scenario is the most likely in the short term.

In a scenario of European differentiation, the EU, through DMA enforcement and the promotion of European digital infrastructure, develops into a genuine alternative space: With stricter data separation, open interfaces, and potentially a European counter-project, a regulatory-protected ecosystem emerges that is not dominated by US platform strategies. This scenario requires political will and industrial policy investments, which are currently visible in rudimentary form but not yet fully mobilized.

In a scenario of gradual WeChat convergence, the convenience advantage of the Google ecosystem effectively creates a hegemonic position, without a single regulatory violation being clearly identifiable. Lock-in arises not from coercion, but from habit, data accumulation, and network effects. This scenario illustrates the fundamental challenge of modern platform regulation: the most effective forms of market concentration are often those that don't force anyone, but induce everyone to do the same thing.

Key dimension: The neutrality of the infrastructure

The overarching economic and social question raised by Google's infrastructure strategy extends beyond competition law: In modern digital economies, the distinction between platform and infrastructure is critically important. Electricity, railway networks, and telecommunications are treated as public infrastructure – with universal access, obligations of neutrality and equal treatment, and price regulation. Digital platforms, on the other hand, are privately owned and operated under market conditions.

The more a digital platform becomes the de facto infrastructure of commerce—like WeChat in China and Google in its intended Western version—the more pressing the question becomes whether the ownership logic of the private company is compatible with the neutrality and equal treatment obligations of a public infrastructure. Whoever decides, via the discovery layer, which products are seen; via the commerce layer, which merchants are easily accessible; and via the payments layer, which transactions function smoothly—exerts power whose societal reach is comparable to that of a transportation network operator or energy supplier. With one crucial exception: they are not subject to any analogous neutrality obligations.

This is the deepest dimension of the Google-WeChat comparison. It's not a question of whether an app is aesthetically pleasing or whether a "super app" is formally defined, but rather who controls the infrastructure of the digital economy—and under what societal conditions this control is exercised. Google's answer is: under the conditions of private corporate interests, flanked by regulation. WeChat's Chinese answer was: under the conditions of private corporate interests, flanked by state control. Both answers are structurally unsatisfactory—if one starts from the premise that infrastructure must be neutral to keep markets open. The real strategic challenge of the coming decade will be to translate this premise into a legal and political reality before the architectures are so deeply entrenched that correction becomes prohibitively difficult.

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