Competition Law and Strategic Competition Policy for Emerging Technologies

Introduction

Emerging technologies such as artificial intelligence, machine learning, cloud computing, semiconductors, quantum computing, biotechnology, autonomous vehicles, blockchain, robotics, 5G/6G and advanced energy technologies create new forms of competition.

Competition in these markets is not based only on price. Competitive advantage may depend upon:

proprietary data;

algorithms and AI models;

computing capacity;

intellectual property;

technical standards;

network effects;

interoperability;

specialised infrastructure;

access to skilled talent;

ecosystems and platforms.

Strategic competition policy therefore seeks to ensure that technological innovation produces sustainable rivalry rather than allowing early technological advantages to become entrenched market power.

The central challenge is to balance two objectives:

protecting competition without discouraging technological innovation.

1. Meaning of Strategic Competition Policy

Strategic competition policy is a forward-looking approach to competition law that considers how technological developments may alter:

market structure;

barriers to entry;

innovation incentives;

market power;

consumer choice;

access to infrastructure;

potential competition.

Traditional competition law frequently examines conduct after competitive harm occurs.

Strategic competition policy also considers:

What competitive structure will this technology create in five or ten years?

This is particularly important where markets exhibit strong network effects and technological lock-in.

2. Why Emerging Technologies Create Special Competition Problems

A. High entry costs

Emerging technology markets can require enormous investment in:

R&D;

semiconductor capacity;

data centres;

cloud infrastructure;

laboratories;

patents;

specialised employees.

High fixed costs may make entry difficult.

B. Network effects

Digital technologies often become more valuable as more people use them.

For example:

More users → more data → better algorithm → better service → more users.

This may create rapid concentration.

C. Data advantages

A technologically sophisticated firm may possess enormous quantities of:

consumer data;

behavioural data;

industrial data;

transaction data;

training data.

Competitors may be unable to reproduce these datasets easily.

D. Switching costs

Users may become dependent upon an ecosystem.

Examples include:

cloud migration costs;

proprietary software;

digital wallets;

enterprise AI systems;

operating systems;

integrated payment infrastructure.

High switching costs can reduce competitive pressure.

3. Artificial Intelligence and Competition

AI is particularly important because it combines several sources of competitive advantage:

Data + computing power + algorithms + talent + distribution.

A company controlling several layers may be able to leverage power from one market into another.

For example:

Cloud infrastructure

↓

Computing capacity

↓

Foundation AI model

↓

AI applications

↓

Distribution platform

Competition policy must therefore consider vertical and ecosystem effects, not merely individual products.

4. Case Law 1 — United States v. Microsoft Corp.

253 F.3d 34 (D.C. Cir. 2001)

Facts

Microsoft possessed substantial power in the market for PC operating systems. It was accused of using that position to restrict technologies that threatened its position, particularly Netscape's browser and Java-related technologies.

Legal principle

The case established important principles concerning exclusionary conduct by a technologically dominant undertaking.

A dominant technology company may not legitimately use exclusionary methods merely to protect its existing monopoly from technological competition.

Importance for emerging technologies

Microsoft is highly relevant to:

AI platforms;

operating systems;

cloud ecosystems;

app stores;

digital assistants.

The lesson is that competition authorities should distinguish:

innovation-based success

from

exclusionary protection of market power.

5. Case Law 2 — Google Search (Shopping)

Facts

The European Commission found that Google had abused its dominant position in general search by systematically favouring its own comparison-shopping service in search results.

Principle

A dominant digital platform can create competition concerns when it uses control over an important gateway to favour its own downstream service.

Relevance

The principle can potentially apply to emerging technology ecosystems where a company controls:

AI search;

app distribution;

cloud marketplaces;

digital advertising;

AI assistants.

The key issue is whether control over the gateway is being used to disadvantage competing providers.

6. Case Law 3 — Google Android

Facts

The European Commission examined Google's contractual arrangements concerning Android devices, including practices involving Google Search, the Play Store and other applications.

Principle

Dominance in one technological layer may be leveraged into neighbouring markets through tying, contractual restrictions or ecosystem arrangements.

Relevance to emerging technologies

Future ecosystems may involve:

AI operating system → AI assistant → search → payments → advertising → cloud services.

Competition policy must therefore examine whether dominance at one level is being used to restrict competition at another.

7. Case Law 4 — Bundeskartellamt v Facebook/Meta

The German competition authority's Facebook proceeding concerned the relationship between Facebook's market position and its collection and combination of data from different sources.

Principle

Data practices can become relevant to competition law when they interact with substantial market power.

Importance

Data can function as a strategic competitive asset.

A simplified feedback loop is:

Market power → more users → more data → improved product → greater market power.

This makes data concentration particularly important in AI and other data-intensive industries.

8. Case Law 5 — FTC v Facebook, Inc.

Facts

The United States Federal Trade Commission challenged Facebook's alleged maintenance of monopoly power in personal social networking, including through acquisitions and platform policies.

Competition principle

Competition law may need to consider potential competition, not merely current market shares.

A startup may represent an important competitive constraint even when it has:

limited revenues;

limited market share;

relatively few users.

Its significance may arise from its:

technology;

innovation;

user base;

data;

future expansion potential.

Emerging-technology relevance

This principle is especially important for acquisitions involving:

AI startups;

biotech companies;

quantum-computing firms;

robotics startups;

semiconductor innovators.

9. Case Law 6 — Intel Corp. v Commission

Case C-413/14 P

Facts

Intel was investigated concerning conditional rebates offered to major computer manufacturers and a retailer.

Principle

Exclusionary rebate arrangements by dominant firms require careful assessment of their potential foreclosure effects.

Relevance

Emerging technology firms may use:

cloud credits;

developer incentives;

AI-computing discounts;

platform subsidies;

preferential pricing.

Such arrangements can be legitimate competitive strategies, but their competitive effects require examination where they potentially exclude rivals.

10. Case Law 7 — Qualcomm v European Commission

Facts

The European Commission examined payments made by Qualcomm to Apple in connection with baseband chipsets.

Principle

Conditional financial arrangements involving important customers can raise competition concerns where they have the effect of foreclosing competing suppliers.

Relevance

This is significant for:

semiconductor markets;

AI chips;

telecommunications equipment;

autonomous vehicles;

connected devices.

Emerging technologies frequently depend upon a small number of critical component suppliers.

11. Case Law 8 — United Brands v Commission

Case 27/76

Principle

United Brands remains a foundational authority concerning the concept of dominance.

A dominant position involves a degree of economic strength that allows an undertaking to behave to an appreciable extent independently of competitors, customers and consumers.

Relevance

The source of market power has changed considerably.

Historically, dominance might arise from:

physical infrastructure;

production capacity;

distribution networks.

In emerging technologies, dominance may instead arise from:

data;

algorithms;

patents;

cloud infrastructure;

network effects;

ecosystems.

12. Case Law 9 — Bronner v Mediaprint

Case C-7/97

Principle

The case concerns refusal to deal and the circumstances in which access to an infrastructure may become relevant under competition law.

Emerging-technology relevance

Comparable questions can arise concerning:

cloud infrastructure;

payment systems;

app stores;

digital identity;

telecommunications networks;

AI computing infrastructure.

However, importance alone does not automatically make an infrastructure an essential facility. The established legal requirements governing refusal to deal remain significant.

13. Emerging Technology and Merger Control

One of the most important strategic competition-policy issues is the acquisition of emerging competitors.

Traditional merger analysis may focus on:

current revenue;

current market share;

existing products.

But emerging technology companies may possess:

breakthrough patents;

AI models;

specialised datasets;

scientific talent;

innovative pipelines;

early-stage technologies.

Consequently, competition authorities increasingly need to examine innovation competition and potential competition.

14. Killer Acquisitions

A large technology company may acquire a startup before the startup becomes a significant competitor.

The acquisition may eliminate:

a future technological challenger;

an alternative innovation pathway;

a competing platform;

a potential source of disruptive technology.

Strategic competition policy therefore asks:

Would the target independently develop into a meaningful competitive constraint?

This is particularly relevant in:

AI;

biotechnology;

pharmaceuticals;

fintech;

digital platforms.

15. Competition and Intellectual Property

Emerging technologies are heavily dependent on:

patents;

copyrights;

trade secrets;

algorithms;

proprietary software.

Intellectual-property rights provide incentives for innovation, but competition problems may arise when IP is used to:

exclude competitors;

impose discriminatory licensing conditions;

prevent interoperability;

foreclose downstream markets.

The possession of IP itself is not ordinarily an antitrust violation.

The competition issue concerns how market power associated with the IP is exercised.

16. Standard-Essential Technologies

Technological standards can generate enormous competitive advantages.

Examples include:

5G;

Wi-Fi;

electric-vehicle charging;

IoT;

telecommunications;

digital security.

If a patented technology becomes essential to an industry standard, competitors may depend upon licensing.

This creates potential concerns concerning:

excessive royalties;

discriminatory licensing;

refusal to license;

strategic injunctions;

discriminatory access.

Competition policy therefore intersects with FRAND licensing.

17. Algorithmic Competition

Algorithms can improve competition by:

reducing transaction costs;

improving price discovery;

increasing transparency;

matching buyers and sellers.

But algorithms can also facilitate coordination.

For example:

Competitor A's algorithm observes price → Competitor B's algorithm reacts → prices converge automatically.

The legal challenge is distinguishing:

Legitimate algorithmic optimisation

from

Algorithmically facilitated collusion.

18. AI and Self-Preferencing

An AI platform may simultaneously:

operate the technological infrastructure;

provide AI services; and

distribute competing applications.

This creates potential self-preferencing concerns.

For example, an AI marketplace could theoretically:

rank its own application more prominently;

provide preferential access to its own model;

impose disadvantageous terms on competing developers.

Competition policy must determine whether such conduct produces exclusionary effects.

19. Cloud Computing and Competition

Cloud infrastructure can become strategically important because companies may depend on:

computing capacity;

storage;

databases;

AI training infrastructure;

cybersecurity services.

Competition issues can arise through:

restrictive contracts;

high switching costs;

interoperability restrictions;

preferential treatment;

bundling;

exclusive arrangements.

A strategic policy approach therefore focuses on contestability and switching possibilities.

20. Semiconductor Competition

Semiconductors represent another strategic technology sector.

Potential competition issues include:

concentration in chip manufacturing;

access to fabrication facilities;

intellectual-property licensing;

exclusive supply agreements;

acquisition of chip-design companies;

control over specialised manufacturing equipment.

Because semiconductors are inputs into:

AI;

telecommunications;

automobiles;

defence;

consumer electronics,

competition policy can have consequences across multiple downstream markets.

21. Biotechnology

Biotechnology presents special competition concerns because innovation depends heavily on:

patents;

clinical data;

research pipelines;

specialised laboratories;

regulatory approvals.

A merger between two firms may therefore eliminate future innovation even if their existing products do not substantially overlap.

The relevant competition parameter may be innovation itself.

22. Quantum Computing

Quantum computing is an emerging market in which competition may depend on:

specialised hardware;

patents;

algorithms;

scientific talent;

access to quantum infrastructure.

Because the technology remains developing, conventional market-definition techniques may be difficult to apply.

Strategic competition policy may therefore need to monitor:

acquisitions of promising firms;

exclusive access to critical technology;

interoperability;

standards;

infrastructure bottlenecks.

23. Competition-Neutral Access

One major principle for emerging technologies is contestable access.

Where an undertaking controls an important technological gateway, policy may consider whether competing firms can obtain access on reasonable and non-discriminatory terms.

This does not mean that every dominant firm must share every asset.

The intervention must depend upon established legal principles and evidence of competitive harm.

24. Indian Competition Law

The Indian framework is primarily governed by the Competition Act, 2002.

Section 3

Addresses anti-competitive agreements.

Relevant emerging-technology concerns include:

algorithmic collusion;

technology licensing restrictions;

exclusive arrangements;

information exchange.

Section 4

Addresses abuse of dominant position.

Potential applications include:

discriminatory access;

unfair conditions;

denial of market access;

tying;

leveraging;

exclusionary conduct.

Sections 5 and 6

Concern combinations and merger control.

These are increasingly important for:

technology acquisitions;

digital platforms;

AI startups;

data-intensive businesses;

innovation-driven mergers.

25. Strategic Competition Policy Framework

A useful analytical framework is:

Stage 1 — Identify the technology

What technology is driving the market?

Stage 2 — Identify the strategic assets

Are the important assets:

data?

patents?

algorithms?

compute?

infrastructure?

standards?

Stage 3 — Identify market power

Does the undertaking possess substantial market power?

Stage 4 — Examine conduct

Has the undertaking engaged in:

tying?

bundling?

self-preferencing?

exclusive dealing?

discriminatory access?

refusal to deal?

predatory conduct?

Stage 5 — Assess innovation

Has competition in:

R&D;

product development;

technological alternatives

been reduced?

Stage 6 — Examine remedies

Possible remedies include:

interoperability;

non-discrimination;

access obligations;

behavioural commitments;

divestiture in exceptional circumstances.

26. Short-Term Versus Long-Term Competition

Strategic competition policy must distinguish:

Short-term competition

prices;

output;

immediate consumer benefits.

Long-term competition

innovation;

technological alternatives;

entry;

R&D;

ecosystem openness.

An intervention that lowers short-term prices but eliminates future innovation may have long-term costs.

Conversely, protecting every small competitor can prevent efficient firms from achieving economies of scale.

Therefore, effects-based analysis remains important.

27. Competition Policy and Industrial Policy

Emerging technologies frequently attract government support.

Governments may subsidise:

semiconductor manufacturing;

AI infrastructure;

clean energy;

biotechnology;

quantum technology.

Strategic competition policy must distinguish legitimate industrial policy from measures that unnecessarily distort competitive conditions.

Relevant principles include:

competitive neutrality;

transparent subsidies;

non-discriminatory access;

avoidance of unnecessary entry barriers.

28. Key Challenges for Competition Authorities

1. Technological uncertainty

The future competitive importance of a technology may be difficult to predict.

2. Rapid innovation

A market may change substantially during an investigation.

3. Globalisation

Emerging technology companies operate across jurisdictions.

4. Intangible assets

Data and algorithms are difficult to measure using traditional metrics.

5. Multi-sided markets

Platforms simultaneously serve multiple groups.

6. Ecosystem effects

Competitive harm may occur across several interconnected markets.

7. Regulatory overlap

Competition authorities may need to coordinate with:

telecom regulators;

data-protection authorities;

financial regulators;

IP authorities;

AI regulators.

29. Comparative Case-Law Principles

30. Essential Principles

1. Innovation should not be punished

Successful technological innovation is not itself anti-competitive.

2. Dominance is not automatically unlawful

Competition law generally focuses on abusive or exclusionary conduct.

3. Future competition matters

Authorities should consider potential and innovation competition.

4. Data can be a strategic asset

Data concentration may reinforce market power.

5. Ecosystems matter

Competition may occur between interconnected ecosystems rather than individual products.

6. Interoperability can preserve contestability

Open interfaces can reduce technological lock-in where legally and economically justified.

7. Merger control must account for innovation

Revenue and current market share may not fully capture competitive significance.

8. Remedies should be proportionate

Intervention should address competitive harm without unnecessarily reducing technological investment.

Conclusion

Competition law and strategic competition policy for emerging technologies require a forward-looking approach to market power.

The traditional competition-law framework remains relevant, but the sources of competitive advantage have evolved. Data, AI models, algorithms, cloud infrastructure, semiconductor technology, intellectual property, technical standards and digital ecosystems can now determine competitive conditions.

The central policy objective should therefore be:

To preserve contestable markets in which technological success is rewarded, but technological advantages cannot be converted through exclusionary conduct into permanent barriers to innovation and entry.

The principles emerging from Microsoft, Google Shopping, Google Android, Facebook/Meta, FTC v Facebook, Intel, Qualcomm, United Brands and Bronner provide a useful foundation for applying competition law to these new technological environments.

In the economies of the future, effective competition policy will consequently involve not merely asking who is dominant today, but also examining which technologies, infrastructures and ecosystems may determine who can compete tomorrow.