Competition Law and Future Regulation of Governance Monopolies

Introduction

Governance monopolies arise where a single undertaking, platform, infrastructure operator, standards body, network controller, data intermediary, or technology ecosystem acquires the practical ability to set the rules of access, participation, interoperability, pricing, ranking, data use, or technical standards for other market participants.

The concept is broader than a conventional monopoly over a product. A governance monopoly may exist where an undertaking controls the architecture through which competitors must operate. Examples include:

• digital platforms controlling app distribution;
• cloud providers controlling technical ecosystems;
• search engines controlling ranking and visibility;
• payment networks controlling access to transactions;
• data intermediaries controlling essential datasets;
• operating-system providers controlling interoperability;
• infrastructure operators controlling essential facilities;
• standard-setting bodies controlling technical access;
• AI ecosystems controlling compute, models, data and interfaces.

The future challenge for competition law is therefore likely to move from simply asking “Who has market power?” to also asking “Who controls the rules governing access to the market?”

The EU's current approach illustrates this movement. The Digital Markets Act (DMA) uses ex-ante obligations for designated gatekeepers, while the European Commission has also been investigating cloud services and AI-related interoperability issues. In June 2026, the Commission announced a preliminary view that AWS and Microsoft Azure should be designated as DMA gatekeepers for cloud services despite not meeting the ordinary quantitative thresholds.

I. Meaning of Governance Monopoly

A governance monopoly can be understood through five elements:

1. Control over market infrastructure

The undertaking controls infrastructure that other firms require to compete.

Examples:

• app stores;
• cloud infrastructure;
• payment rails;
• operating systems;
• search engines;
• digital advertising exchanges;
• logistics networks.

2. Rule-making power

The undertaking can establish:

• technical standards;
• ranking criteria;
• access conditions;
• commissions;
• interoperability rules;
• data-access conditions;
• API requirements;
• contractual restrictions.

3. Dependence of competitors

Competitors may technically exist but remain dependent upon the dominant undertaking.

Thus:

Competition may exist formally while remaining constrained structurally.

4. Switching barriers

Governance monopolies are particularly powerful where users face:

• high switching costs;
• loss of data;
• incompatibility;
• contractual restrictions;
• network effects;
• learning costs;
• ecosystem lock-in.

5. Ability to favour affiliated businesses

A governance monopolist may use its rule-making position to advantage its own downstream or complementary services.

This creates the classic gatekeeper problem.

II. Traditional Monopoly Versus Governance Monopoly

The distinction is particularly important in digital markets because a service may be offered at zero monetary price while the undertaking exercises substantial control through data, attention, defaults, interoperability and ecosystem dependence.

III. Why Future Competition Law Must Address Governance

1. Network effects

Large platforms often become more valuable as participation increases.

A platform with a large user base can attract more developers, sellers and advertisers, which attracts still more users.

This creates a reinforcing cycle:

Users → Developers/Sellers → Data → Better service → More users → Greater market power

Competition law must therefore consider dynamic network effects, rather than looking only at current prices.

2. Data concentration

Governance monopolies can arise through control over:

• search data;
• transaction data;
• consumer behaviour;
• location information;
• business-user data;
• technical telemetry;
• AI training data.

Data can become a competitive input where rivals cannot reproduce it at comparable scale.

3. Interoperability

A dominant undertaking may preserve its position by preventing competing products from interacting effectively with its ecosystem.

Future regulation may therefore require:

• API access;
• technical documentation;
• data portability;
• interoperability;
• interface compatibility;
• switching mechanisms.

The EU's current digital-market framework already treats interoperability as an important regulatory issue, while the Commission's 2026 DMA review identified cloud and AI as particularly important areas for future competition and contestability.

IV. Major Competition-Law Problems Created by Governance Monopolies

A. Self-preferencing

A platform may control the ranking system while simultaneously operating competing services.

The governance power can then be used to:

1. collect information about competitors;
2. control ranking;
3. promote affiliated products;
4. disadvantage rivals;
5. redirect demand toward the platform's own services.

This was central to the Google Shopping controversy.

V. Important Case Laws

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

Facts

Microsoft possessed substantial control over the PC operating-system ecosystem and used contractual and technological strategies affecting browser competition.

Competition issue

The case demonstrated how control over an important technological platform can be leveraged into adjacent markets.

Principle

Dominance over an infrastructure layer can create opportunities for exclusion in complementary markets.

Importance for governance monopolies

Microsoft demonstrates the importance of distinguishing between:

• control of a product; and
• control of the technological environment within which competing products operate.

The case remains highly relevant to operating systems, cloud computing, AI platforms and other technological ecosystems.

2. Microsoft Corp. v. Commission, T-201/04 (EU General Court, 2007)

The European Commission's Microsoft decision concerned, among other matters, Microsoft's refusal to provide interoperability information and the tying of Windows Media Player.

The interoperability issue is especially important for future governance regulation.

Principle

Where a dominant undertaking controls technological information necessary for interoperability, withholding that information may restrict competition.

The case provides an important foundation for modern debates concerning:

• APIs;
• interoperability;
• technical standards;
• cloud portability;
• operating systems;
• AI-system access.

The EU's more recent guidance continues to refer to Microsoft when discussing access restrictions and interoperability inputs.

3. Google Shopping, Google and Alphabet v Commission, T-612/17

Facts

Google operated the dominant general search service while also operating comparison-shopping services.

The Commission found that Google gave its own comparison-shopping service favourable positioning and display treatment.

Competition concern

The governance function was particularly important because Google controlled an important ranking and visibility mechanism.

Principle

A dominant platform's control over an intermediary infrastructure can create competition concerns where that infrastructure is used to advantage an affiliated service.

The case is significant for future regulation of:

• search engines;
• marketplaces;
• app stores;
• recommendation systems;
• AI-generated rankings.

The General Court upheld the Commission's central findings in 2021.

4. Google Android, Google and Alphabet v Commission, T-604/18; C-738/22 P

The Android litigation concerned Google's contractual arrangements relating to Android devices, including restrictions associated with its search and application ecosystem.

Competition significance

The case demonstrates how dominance can be reinforced through:

• tying;
• contractual restrictions;
• default arrangements;
• ecosystem integration;
• network effects.

The General Court upheld substantial elements of the Commission's reasoning, and the Court of Justice issued a further judgment in July 2026.

The current EU legal materials continue to cite the Android litigation in relation to network effects, ecosystems, tying and interoperability.

Future relevance

The Android principles can potentially inform competition analysis of:

• AI assistants;
• mobile ecosystems;
• smart devices;
• connected vehicles;
• cloud ecosystems;
• wearable technology.

5. European Commission — Amazon Marketplace and Buy Box, AT.40462 / AT.40703

Amazon's marketplace combines several governance functions:

• marketplace access;
• seller information;
• product visibility;
• ranking;
• logistics;
• advertising;
• purchasing infrastructure.

Competition significance

The investigation illustrates the concern that a marketplace operator may simultaneously act as:

platform regulator + marketplace operator + retailer + data user.

That combination creates a structural conflict.

The modern competition-law question is therefore not merely whether Amazon competes with sellers, but whether the platform's governance powers can influence the competitive conditions faced by those sellers.

EU legal materials continue to refer to the Amazon Marketplace and Buy Box decision when discussing network effects and digital ecosystems.

6. Alibaba — SAMR, 2021

China's Alibaba case is one of the most significant examples of platform-governance enforcement.

Facts

China's State Administration for Market Regulation found that Alibaba had used its market position to impose arrangements commonly described as “choose one from two”, restricting merchants from operating simultaneously on competing platforms.

SAMR imposed a RMB 18.228 billion penalty, approximately 4% of Alibaba's 2019 domestic turnover.

Competition significance

The case demonstrates how platform governance can extend beyond simple pricing.

A platform can influence:

• seller participation;
• multihoming;
• distribution channels;
• access to consumers;
• data advantages.

Principle

Where merchants depend heavily on a platform, contractual exclusivity can reinforce the platform's ecosystem power and make competing platforms less viable.

7. Qihoo 360 v Tencent, Supreme People's Court of China (2014)

This case concerned Tencent's market position and allegations concerning restrictive conduct involving its software ecosystem.

Importance

The case is significant because it illustrates the difficulty of applying traditional dominance concepts to rapidly developing technology ecosystems.

It also preceded China's later, more aggressive platform-economy enforcement.

The Alibaba literature identifies the case as an important earlier reference point in China's treatment of exclusive-dealing practices and technological-platform dominance.

8. European Superleague Company v FIFA and UEFA, C-680/21

This case is important for governance monopolies outside traditional digital markets.

Sports governing bodies can simultaneously:

• establish rules;
• regulate participation;
• control access to competitions;
• approve competing competitions;
• impose disciplinary consequences.

The Court of Justice's 2023 judgment examined how such regulatory functions interact with EU competition law.

Governance significance

The case demonstrates a broader principle:

An organisation exercising regulatory power over a market cannot automatically escape competition scrutiny merely because its rules are characterised as governance.

The issue is particularly relevant to:

• sports associations;
• professional leagues;
• certification bodies;
• standards organisations;
• professional networks.

EU materials continue to cite Superleague in discussions concerning competition restrictions.

VI. Emerging Model: From Ex-Post Antitrust to Ex-Ante Governance Regulation

Traditional competition law generally operates after potentially anticompetitive conduct occurs.

Future governance regulation increasingly combines:

Ex-post enforcement

Authorities investigate:

• abuse of dominance;
• exclusionary conduct;
• tying;
• refusal to supply;
• discriminatory access;
• exclusionary agreements.

Ex-ante obligations

Authorities establish obligations before harm becomes entrenched.

Examples include:

• interoperability requirements;
• restrictions on self-preferencing;
• data-access requirements;
• anti-steering obligations;
• restrictions on combining certain data;
• transparency obligations;
• portability requirements.

The EU DMA is a major example of this model.

VII. Future Regulation of Governance Monopolies

1. Gatekeeper designation

Future legislation may classify undertakings according to their structural importance rather than simply traditional market share.

Relevant criteria could include:

• number of users;
• business-user dependence;
• ecosystem size;
• network effects;
• switching costs;
• data advantages;
• control of infrastructure;
• strategic importance.

The EU is already moving toward qualitative designation alongside quantitative thresholds. In 2026, the Commission reported seven DMA gatekeepers covering 23 core platform services and was investigating AWS and Azure for possible qualitative designation.

VIII. Interoperability Regulation

Future rules may require dominant governance platforms to provide meaningful interoperability.

Possible obligations

1. API availability
2. Technical documentation
3. Data portability
4. Cross-platform communication
5. Compatibility standards
6. Switching tools
7. Functional equivalence

The objective is not necessarily to force identical products.

Rather, the purpose is to prevent a dominant undertaking from using technical incompatibility as an artificial barrier to competition.

IX. Data Governance and Competition Law

Future competition regimes may impose rules concerning:

A. Data portability

Users should be able to transfer relevant data when changing providers.

B. Business-user data

Platforms may be restricted from using competitively sensitive seller data to compete against those sellers.

C. Data combination

Authorities may scrutinise combining datasets from different services where doing so entrenches market power.

D. Data access

In exceptional circumstances, competitors may require access to strategically important data.

This resembles the essential-facilities concept, but adapted to digital resources.

X. Algorithmic Governance

Governance monopolies may increasingly operate through algorithms rather than human decisions.

Algorithms can determine:

• search rankings;
• product visibility;
• seller access;
• advertising prices;
• recommendations;
• credit decisions;
• content distribution;
• access to services.

Future competition law may therefore require:

• algorithmic accountability;
• auditability;
• explanation of ranking criteria;
• independent compliance monitoring;
• safeguards against discriminatory access;
• controls against algorithmic self-preferencing.

The regulatory challenge is to prevent anticompetitive discrimination without requiring firms to disclose legitimate trade secrets.

XI. AI Governance Monopolies

AI may produce a new type of governance monopoly involving control over several layers:

Compute → Data → Foundation Model → API → Application → Distribution

A single undertaking may operate at several layers simultaneously.

This can create:

• vertical foreclosure;
• preferential API access;
• discriminatory model access;
• bundling;
• tying;
• data advantages;
• cloud lock-in;
• interoperability restrictions.

The EU's 2026 DMA review specifically identified AI and cloud computing as important future competition-policy areas, including interoperability and access issues.

XII. Cloud Governance Monopolies

Cloud infrastructure is particularly important because businesses and public administrations may become dependent on a small number of providers.

Potential concerns include:

• high switching costs;
• data egress costs;
• proprietary interfaces;
• technical lock-in;
• bundled AI services;
• preferential treatment for affiliated applications;
• discriminatory access to infrastructure.

The European Commission's June 2026 preliminary position concerning AWS and Azure illustrates how future gatekeeper regulation may reach infrastructure providers even when conventional quantitative designation thresholds are not satisfied.

XIII. Essential-Facility Doctrine and Governance Monopolies

The essential-facilities concept may become increasingly relevant where an undertaking controls infrastructure indispensable for competition.

Traditional examples involve:

• telecommunications;
• electricity grids;
• ports;
• transportation networks.

Future examples may include:

• cloud infrastructure;
• app stores;
• payment systems;
• interoperability layers;
• digital identity systems;
• critical datasets;
• AI infrastructure.

However, mandatory access must be carefully designed because excessive access obligations can reduce investment incentives.

XIV. Self-Preferencing Regulation

Future regulation may prohibit or restrict a governance monopolist from giving preferential treatment to its own downstream services.

Potential areas include:

• search results;
• app stores;
• marketplaces;
• travel platforms;
• financial platforms;
• advertising exchanges;
• AI marketplaces.

The EU's July 2026 Google DMA decisions provide a current illustration: the Commission found non-compliance concerning self-preferencing in Google Search and restrictions on steering users toward alternative purchasing channels.

XV. Merger Control and Governance Monopolies

Traditional merger control focuses on whether a transaction substantially lessens competition.

Future regulation may additionally examine whether an acquisition gives an undertaking control over an important governance layer.

Particular scrutiny may be appropriate for acquisitions involving:

• AI startups;
• cloud infrastructure;
• data platforms;
• cybersecurity infrastructure;
• payment networks;
• interoperability technology;
• app distribution;
• digital identity.

This can address ecosystem consolidation before a governance monopoly becomes entrenched.

XVI. Remedies for Governance Monopolies

Competition authorities may increasingly use structural and behavioural remedies.

Behavioural remedies

• non-discrimination;
• interoperability;
• access obligations;
• data portability;
• transparency;
• anti-steering;
• restrictions on self-preferencing.

Structural remedies

In exceptional cases:

• separation of business units;
• divestiture;
• functional separation;
• ownership restrictions;
• restrictions on future acquisitions.

Supervisory remedies

A new category is increasingly important:

continuous regulatory supervision.

This could involve:

• independent compliance monitors;
• periodic audits;
• technical audits;
• algorithmic assessments;
• interoperability testing;
• reporting obligations.

XVII. Problems With Over-Regulation

Governance regulation must also address legitimate business interests.

1. Innovation

Mandatory access may reduce incentives to develop new infrastructure.

2. Security

Interoperability may introduce cybersecurity vulnerabilities.

3. Privacy

Data portability must coexist with privacy and data-protection requirements.

4. Intellectual property

Compulsory disclosure of technical information may undermine legitimate IP rights.

5. Regulatory capture

A dominant undertaking may attempt to influence the regulatory process itself.

6. Administrative complexity

Technical regulation of AI, cloud and digital ecosystems requires specialised expertise.

XVIII. Competition Law and Regulatory Governance Must Work Together

Future governance-monopoly regulation will probably require cooperation among:

• competition authorities;
• telecommunications regulators;
• data-protection authorities;
• financial regulators;
• cybersecurity agencies;
• AI regulators;
• consumer-protection authorities;
• sectoral regulators.

This creates a multi-regulator governance model.

The European Commission's DMA implementation already involves coordination between EU institutions and national authorities.

XIX. Proposed Future Regulatory Framework

A comprehensive framework can be represented as follows:

Market Power Identification
↓
Governance Function Identification
↓
Assessment of Network Effects
↓
Assessment of Switching Costs
↓
Assessment of Data Control
↓
Interoperability Analysis
↓
Assessment of Self-Preferencing
↓
Assessment of Access Discrimination
↓
Ex-Ante Obligations Where Necessary
↓
Ex-Post Abuse Enforcement
↓
Continuous Compliance Monitoring
↓
Structural Remedy Where Behavioural Remedies Fail

XX. Six Core Future Legal Principles

Principle 1 — Governance power can constitute economic power

Control over rules can be as important as control over prices.

Principle 2 — Interoperability is a competition instrument

Technical compatibility can preserve contestability.

Principle 3 — Data can function as a strategic input

Control over data may reinforce durable market power.

Principle 4 — Gatekeepers require special scrutiny

Undertakings controlling essential gateways may require obligations beyond ordinary antitrust rules.

Principle 5 — Ecosystems must be assessed dynamically

Competition authorities should examine the interaction among several connected markets rather than treating each product in isolation.

Principle 6 — Remedies must address the source of power

A fine alone may not restore competition where market power arises from architecture, network effects and ecosystem dependence.

XXI. Comparative Position

China's platform enforcement illustrates the importance of governance issues in a different regulatory model. Academic analysis of China's platform interventions records extensive antitrust enforcement against major technology firms and continuing interaction between antitrust, industrial policy and broader regulatory objectives.

XXII. Conclusion

The future regulation of governance monopolies represents a fundamental development in competition law.

The central issue is no longer simply whether an undertaking controls a large percentage of a market. The more difficult question is whether it controls the architecture through which other firms reach customers, obtain data, interoperate, transact and compete.

The Microsoft, Google Shopping, Google Android, Amazon Marketplace, Alibaba, Qihoo 360 and Superleague cases collectively demonstrate different dimensions of this problem: interoperability, tying, self-preferencing, contractual exclusion, ecosystem control and regulatory rule-making.

The emerging regulatory model is therefore likely to combine:

traditional abuse-of-dominance law + ex-ante gatekeeper regulation + interoperability + data governance + merger scrutiny + algorithmic oversight + continuous regulatory supervision.