1. Introduction

Autonomous governance ecosystems are markets—especially digital and platform markets—in which a private platform or ecosystem operator not only provides infrastructure but also creates, interprets, and enforces the rules governing participants.

Examples include:

• mobile operating-system ecosystems;
• app stores;
• e-commerce marketplaces;
• social-media ecosystems;
• cloud ecosystems;
• payment ecosystems;
• digital advertising ecosystems;
• gaming ecosystems;
• AI and data ecosystems; and
• integrated hardware–software–service ecosystems.

The competition-law concern arises when the entity that governs the ecosystem also competes inside it. It may determine ranking, access, interoperability, commissions, data access, technical standards, payment methods, eligibility, visibility, or dispute procedures while simultaneously offering its own competing product.

Thus, governance power can become market power.

China's platform-economy framework expressly recognizes that platforms may operate across multiple sides of a market and directs authorities to consider network effects, lock-in, switching costs, technological barriers, cross-market competition and other platform characteristics when assessing dominance.

2. Meaning of an Autonomous Governance Ecosystem

An autonomous governance ecosystem has three principal characteristics.

A. Rule-making power

The ecosystem operator establishes rules concerning:

• who may participate;
• technical standards;
• access conditions;
• ranking;
• pricing mechanisms;
• payment methods;
• data use;
• advertising;
• interoperability;
• dispute resolution; and
• sanctions or exclusion.

B. Gatekeeping power

Participants may depend upon the ecosystem operator for access to:

• consumers;
• data;
• APIs;
• infrastructure;
• app distribution;
• payment facilities;
• logistics;
• search visibility;
• identity systems; or
• network effects.

C. Competitive participation

The operator itself may compete with the businesses subject to its rules.

This creates the fundamental competition-law problem:

The referee may simultaneously be a player.

3. Relationship Between Governance and Market Power

Traditional competition law generally asks whether an undertaking possesses sufficient power to behave independently of competitive constraints.

In an ecosystem, however, market power can arise from more than market share.

Relevant factors include:

1. network effects;
2. economies of scale and scope;
3. data advantages;
4. switching costs;
5. multi-homing limitations;
6. ecosystem lock-in;
7. control of technical standards;
8. control over APIs and interoperability;
9. access to users or suppliers;
10. control of ranking and recommendation systems;
11. control over payment infrastructure; and
12. vertical integration.

China's platform antitrust guidelines specifically permit consideration of transaction value, transaction volume, active users, clicks, usage time, network effects, lock-in effects, switching costs, technological barriers and cross-market competition in determining platform market power.

The 2026 SAMR Internet Platform Antitrust Compliance Guidelines similarly identify data, algorithms, technology, capital advantages and platform rules as potential sources of competition-law risk.

4. Autonomous Governance as a Competition Concern

A. Self-preferencing

A platform can give its own services preferential treatment over competing services.

Examples:

• ranking its own products first;
• displaying its own logistics service more prominently;
• giving its own financial service preferential API access;
• recommending its own AI model;
• giving its own apps better technical functionality.

The European Commission's Google Search/DMA enforcement in 2026 illustrates the continuing regulatory concern with self-preferencing: the Commission found Google had given preferential treatment to its own vertical services in Search.

B. Discriminatory access

The platform may establish apparently neutral rules but apply them differently to:

• its own business;
• preferred partners;
• large suppliers;
• competing platforms; or
• independent complementors.

Competition law therefore examines not merely the existence of a governance rule but its competitive effect and justification.

C. Interoperability restrictions

An ecosystem operator may prevent competitors from interoperating with:

• APIs;
• operating systems;
• payment systems;
• identity infrastructure;
• data portability systems;
• messaging systems; or
• hardware interfaces.

Where interoperability is commercially indispensable, restrictions may raise refusal-to-deal, essential-facility, exclusionary-conduct or abuse-of-dominance issues, depending on the jurisdiction.

5. Key Case Laws

1. United States v. Microsoft Corp., 253 F.3d 34 (D.C. Cir. 2001)

Facts

Microsoft possessed substantial power in the market for Intel-compatible PC operating systems. It controlled important aspects of the software ecosystem and used contractual and technical restrictions concerning its operating system and Internet Explorer.

Competition-law issue

The central question was whether Microsoft had used its operating-system position to suppress competing browser technologies.

Principle

The D.C. Circuit recognized that a dominant technology platform can use its control over an ecosystem to disadvantage complementary or potentially competing technologies.

The case is foundational for understanding platform leverage:

dominance in one technological layer can be used to influence competition at another layer.

Relevance to autonomous governance ecosystems

A modern ecosystem operator can exercise governance power through:

• default settings;
• technical architecture;
• APIs;
• contractual restrictions;
• interoperability decisions; and
• access conditions.

Microsoft therefore provides a conceptual foundation for analysing ecosystem governance as a source of exclusionary power.

2. Google Android — Google LLC v European Commission, Case T-604/18

The Google Android litigation is one of the most important modern ecosystem cases.

The EU General Court examined Google's Android ecosystem involving:

• Android operating systems;
• Google Play Store;
• Google Search;
• Chrome;
• device manufacturers;
• mobile-network operators; and
• anti-fragmentation obligations.

The Court expressly dealt with the concepts of a multi-sided platform and an ecosystem.

Competition concerns

The Commission's case involved:

• tying;
• exclusivity payments;
• contractual restrictions; and
• restrictions concerning Android forks.

Significance

The case demonstrates that competition analysis cannot necessarily stop at the individual product.

The operating system, app store, search engine, browser and device manufacturers may operate as an interdependent ecosystem.

The Court of Justice subsequently considered the appeal, including tying, exclusivity payments and anti-fragmentation obligations.

Principle

Control over one ecosystem layer can reinforce power at other layers.

3. Epic Games, Inc. v. Apple Inc., 67 F.4th 946 (9th Cir. 2023)

This is a particularly important case for autonomous governance.

Apple operated the iOS ecosystem through its App Store and developer rules.

Issues

Epic challenged:

• Apple's restrictions on app distribution;
• Apple's in-app payment system;
• restrictions on alternative payment mechanisms; and
• anti-steering provisions.

The Ninth Circuit described Apple's system as a walled-garden ecosystem in which Apple performed a significant curating role.

Holding

The Ninth Circuit rejected Epic's Sherman Act claims concerning Apple's app-distribution and payment restrictions, while affirming relief concerning Apple's anti-steering provision under California law.

Importance

The case demonstrates an essential competition-law distinction:

Having substantial ecosystem control does not automatically establish unlawful monopolization.

Authorities must separately analyse:

1. relevant market;
2. market power;
3. competitive effects;
4. business justifications;
5. less restrictive alternatives; and
6. applicable statutory standards.

The case therefore provides a useful counterweight to simplistic claims that every closed ecosystem is anticompetitive.

4. Amazon Marketplace — European Commission

The European Commission's Amazon Marketplace investigation concerned the relationship between Amazon's marketplace governance and its own retail and logistics businesses.

The Commission's concerns included Amazon's use of non-public seller data, the Buy Box and Amazon's Prime/logistics arrangements.

Governance problem

Amazon simultaneously acted as:

• marketplace operator;
• retailer;
• logistics provider; and
• operator of the Prime ecosystem.

This created a potential conflict between:

Amazon's role as ecosystem governor

and

Amazon's role as competitor to marketplace sellers.

Resolution

Amazon offered commitments concerning:

• use of non-public seller data;
• Buy Box selection;
• Prime eligibility;
• logistics freedom; and
• carrier choice.

The commitments also included safeguards concerning competing Buy Box offers and carrier data.

Principle

An ecosystem operator's access to competitively sensitive information can create an important competitive advantage when it also competes against ecosystem participants.

5. Meituan — SAMR (China, 2021)

The Chinese Meituan case is highly relevant to platform governance.

SAMR found that Meituan had abused its dominant position in China's online food-delivery platform services market.

The authority found practices including:

• differential treatment of merchants;
• delaying merchant onboarding;
• exclusive arrangements;
• exclusive cooperation deposits;
• data and algorithmic mechanisms; and
• penalties supporting the exclusivity system.

SAMR concluded that the conduct restricted competition and constituted an abuse involving restrictions on counterparties' ability to trade with competitors.

Importance for autonomous governance

This is a particularly clear example of platform rules functioning as a governance mechanism.

The platform did not merely provide a marketplace.

Its:

• algorithms;
• merchant-management systems;
• contractual terms;
• fees; and
• platform penalties

were capable of influencing the competitive choices of participants.

Legal lesson

Platform governance mechanisms can constitute an abuse of dominance when they are used to foreclose competing platforms without sufficient justification.

6. FTC v. Facebook/Meta

The U.S. FTC's Facebook/Meta litigation concerns the alleged maintenance of monopoly power in personal social networking.

The FTC alleged a course of conduct involving:

• acquisition of Instagram;
• acquisition of WhatsApp; and
• restrictive conditions concerning third-party access to Facebook's platform APIs. 

Ecosystem significance

The API allegations are particularly important.

An ecosystem operator controls the technical gateway through which third-party applications interact with the ecosystem.

If access is granted only on conditions that prevent developers from:

• competing;
• connecting to competing services; or
• developing competing functionality,

the platform's technical governance can potentially become a mechanism for maintaining market power.

Current procedural position

The litigation remains active: after a 2025 district-court ruling in Meta's favour, the FTC filed an appeal in January 2026.

Accordingly, the allegations should not be treated as a final adjudication of liability.

7. Facebook/Meta – Giphy, UK

The UK's Facebook/Giphy merger case provides another ecosystem example.

The CMA concluded that Meta's acquisition of Giphy could allow Meta to restrict competing social-media platforms' access to Giphy GIFs and thereby strengthen Meta's position in social media. It also identified the loss of Giphy as a potential challenger in display advertising.

The Competition Appeal Tribunal upheld the CMA's decision on most challenged grounds.

Importance

The case illustrates ecosystem expansion through acquisition.

A platform does not necessarily need to acquire a direct substitute for its principal product.

Acquiring an adjacent service can matter because that service may become:

• an input;
• a complementary service;
• a source of user engagement;
• a distribution channel; or
• a potential competitive constraint.

6. Comparative Table of the Cases

7. Major Competition-Law Theories

A. Abuse of dominance

Where the ecosystem operator is dominant, autonomous governance can become abusive through:

• discriminatory access;
• exclusionary rules;
• tying;
• bundling;
• refusal to deal;
• exploitative conditions;
• self-preferencing;
• exclusivity;
• discriminatory ranking; or
• interoperability restrictions.

China's 2026 Internet Platform Antitrust Compliance Guidelines expressly identify refusal to trade, restricting transactions, tying, unreasonable conditions and differential treatment among the potential forms of abuse requiring compliance attention.

B. Tying and bundling

An ecosystem operator may make access to one service conditional upon acceptance of another.

Examples:

• operating system + search;
• app store + payment processing;
• cloud infrastructure + proprietary software;
• hardware + proprietary services.

The Google Android litigation is a major example.

C. Self-preferencing

The platform may favour its own downstream product.

The competitive concern becomes stronger where the platform controls the mechanism determining:

which competitors consumers are allowed to see.

Search rankings, Buy Boxes, app-store rankings and recommendation systems therefore become important competition-law governance mechanisms.

D. Exclusive dealing

The platform can require participants to deal exclusively with it.

The Meituan case illustrates this particularly clearly.

E. Data advantage

A platform may receive data from competing sellers while simultaneously operating its own competing business.

This creates a structural conflict:

the regulator of the marketplace becomes an information beneficiary of the businesses it regulates.

Amazon's marketplace proceedings illustrate this issue.

F. Interoperability foreclosure

The ecosystem operator can restrict competitors' access to:

• APIs;
• data;
• operating systems;
• payment systems;
• messaging functionality;
• identity systems; or
• technical interfaces.

Such restrictions can increase switching costs and make market entry substantially harder.

8. Market Power in Autonomous Ecosystems

Market power should not be assessed solely through traditional market share.

A more comprehensive assessment can examine:

1. Network effects

More users attract more suppliers, while more suppliers attract more users.

This creates a reinforcing cycle.

2. Switching costs

Users and businesses may lose:

• data;
• reputation;
• followers;
• transaction histories;
• software compatibility;
• customer relationships; or
• accumulated investments

when moving to another ecosystem.

3. Multi-homing

If users and suppliers can easily use several ecosystems simultaneously, ecosystem power may be weaker.

Conversely, restrictions on multi-homing can strengthen market power.

4. Data accumulation

Large quantities of behavioural and transactional data can improve:

• algorithms;
• targeting;
• ranking;
• recommendations;
• fraud detection; and
• product development.

5. Ecosystem lock-in

A user may remain because leaving one service requires abandoning multiple interconnected services.

For example:

hardware → operating system → app store → payment → cloud → identity → subscriptions

can become a single economic ecosystem.

9. Autonomous Governance and Algorithms

Modern ecosystem governance increasingly occurs through algorithms rather than traditional contracts.

Algorithms can determine:

• ranking;
• visibility;
• commission rates;
• pricing;
• access;
• fraud classifications;
• seller eligibility;
• advertising placement;
• search results; and
• recommendations.

China's current platform compliance framework specifically warns about using big-data analysis, AI, platform rules, APIs and algorithms to coordinate or restrict pricing and other competitive conditions.

This creates a novel question:

Can an algorithmically imposed rule constitute an exercise of market power even when there is no conventional contractual restriction?

Increasingly, competition law focuses on the economic effect and mechanism of control, rather than simply the formal legal form of the rule.

10. Legitimate Governance vs Anticompetitive Governance

Autonomous governance is not inherently unlawful.

A platform may legitimately impose rules for:

• cybersecurity;
• privacy;
• consumer protection;
• fraud prevention;
• technical compatibility;
• quality control;
• intellectual-property protection;
• payment security; and
• safety.

For example, Apple's closed ecosystem was recognised by the Ninth Circuit as having potential procompetitive justifications relating to security, privacy, content and reliability, even though Epic challenged aspects of Apple's restrictions.

The competition-law question is therefore not:

"Does the platform govern itself?"

It is:

"Does the platform use governance authority derived from its market position to unnecessarily exclude or disadvantage competitive alternatives?"

11. Key Factors for Competition Analysis

A regulator or court examining an autonomous governance ecosystem should consider:

Market structure

• market share;
• number of competitors;
• concentration;
• entry barriers.

Ecosystem characteristics

• network effects;
• economies of scope;
• switching costs;
• multi-homing;
• interoperability.

Governance mechanisms

• access rules;
• ranking;
• APIs;
• technical standards;
• payment restrictions;
• data policies.

Competitive relationship

• whether the platform competes downstream;
• whether it owns complementary services;
• whether it controls an essential input.

Effects

• foreclosure;
• reduced innovation;
• increased prices;
• reduced quality;
• reduced consumer choice;
• reduced supplier freedom.

Justifications

• privacy;
• security;
• safety;
• quality;
• technical integrity;
• fraud prevention.

12. Remedies

Where autonomous governance produces competition problems, possible remedies include:

Structural remedies

• divestiture;
• separation of business units;
• prohibition of acquisitions.

Behavioural remedies

• non-discrimination;
• fair-ranking requirements;
• data-use restrictions;
• access obligations;
• interoperability;
• API access;
• anti-steering protections.

Transparency remedies

• disclosure of ranking criteria;
• explanation of access decisions;
• algorithmic accountability;
• independent auditing.

Portability remedies

• data portability;
• account portability;
• interoperability;
• switching mechanisms.

The Amazon commitments, for example, addressed seller-data use, Buy Box presentation, Prime conditions and logistics choice.

13. China-Specific Position

For China, autonomous governance ecosystems should principally be analysed under the Anti-Monopoly Law, together with the platform-economy guidelines and current SAMR compliance guidance.

China's framework expressly recognises that platform markets have distinctive characteristics and requires case-specific consideration of:

• network effects;
• lock-in;
• switching costs;
• technological barriers;
• cross-market competition;
• active users;
• transaction volume; and
• other measures of platform power. 

The 2026 SAMR guidelines further emphasise that platforms with substantial market share or market power should periodically assess whether they possess a dominant position and should avoid abusive conduct such as refusal to deal, tying and differential treatment.

The Meituan enforcement action is especially relevant because platform algorithms, data and merchant-management mechanisms were treated as part of the mechanism through which exclusivity was maintained.

14. Important Legal Distinction

The central distinction can be expressed as follows:

Ecosystem governance

→ creates rules

→ rules control access and participation

→ control may create dependency

→ dependency may create market power

→ market power may permit exclusionary conduct

→ exclusionary conduct may constitute an antitrust violation if the statutory requirements are satisfied.

Therefore:

Autonomous governance is not itself market power, and market power is not itself an antitrust violation. The competition-law problem arises when governance authority is combined with substantial market power and is used in a manner that unlawfully restricts competition.

15. Conclusion

Autonomous governance ecosystems represent a major development in modern competition law because the traditional distinction between market operator, infrastructure provider, regulator and competitor is increasingly blurred.

The most important competition concerns are:

1. self-preferencing;
2. discriminatory access;
3. exclusive dealing;
4. tying and bundling;
5. interoperability restrictions;
6. API foreclosure;
7. misuse of non-public data;
8. algorithmic discrimination;
9. ecosystem lock-in; and
10. acquisition of complementary or nascent competitors.

The Microsoft, Google Android, Epic Games v Apple, Amazon Marketplace, Meituan, Meta/Facebook and Meta/Giphy matters demonstrate different ways in which control over an ecosystem can translate into competitive leverage. Importantly, the cases also show that ecosystem control must be analysed in its particular market context: legitimate security, privacy, quality and innovation justifications can materially affect the legal assessment.

For examination purposes, the central proposition is:

Competition law increasingly regulates not merely the products sold within an ecosystem, but the rules, interfaces, data, algorithms and access conditions through which the ecosystem itself is governed.