Competition Law and Machine-Directed Tying Practices and Competition Concerns

1. Introduction

Machine-directed tying practices arise when artificial intelligence (AI), algorithms, automated platforms, software systems, or autonomous commercial agents are used to tie one product, service, technology, or market to another.

Traditional tying occurs when a firm with market power in one product—the tying product—conditions access to that product on the customer's purchase or use of another product—the tied product.

In a machine economy, the same strategy can be implemented automatically.

For example:

AI operating system → automatically requires the firm's own AI assistant

or:

Cloud service → access conditioned on purchasing the provider's AI model

or:

AI marketplace → merchants using the platform must use the platform's payment service

The central competition-law concern is whether the machine-directed arrangement leverages market power from one market into another and unnecessarily restricts competition in the tied market.

There is no separate universally recognized category of “machine-directed tying law.” Existing tying principles can be applied to automated and AI-driven conduct.

2. Meaning of Tying

Tying generally involves two products or services:

Tying product

The product in which the firm has significant market power.

Tied product

The separate product that the customer is required or strongly induced to obtain together with the tying product.

The simplified structure is:

Product A + market power

↓

Customer requires Product A

↓

Product B is imposed/conditioned

↓

Competitors in Product B lose access to customers

3. What Makes Tying “Machine-Directed”?

In traditional tying, a human manager might expressly state:

“You cannot purchase A unless you also purchase B.”

In machine-directed tying, the condition may be embedded in:

• software architecture;
• API rules;
• automated licensing;
• platform settings;
• AI recommendation systems;
• subscription structures;
• default configurations;
• automated procurement systems;
• digital contracts.

Thus:

Human decision → algorithmic implementation → automatic tying

or potentially:

AI system → automatically applies tying condition

The legal issue remains the underlying economic conduct, not merely the fact that software executed it.

4. Examples of Machine-Directed Tying

Example 1: AI operating system

A dominant operating system automatically bundles its proprietary AI assistant and makes competing AI assistants technically difficult to install.

Example 2: Cloud and AI

A cloud provider requires customers purchasing a particular computing service to also use its proprietary AI model.

Example 3: AI marketplace

An AI platform requires developers to use its payment system to access its marketplace.

Example 4: Robotics

A dominant robotics operating system requires users to purchase proprietary sensors.

Example 5: Autonomous vehicle platform

An autonomous-driving platform requires manufacturers to use the platform's own mapping and data services.

Example 6: Enterprise AI

A dominant enterprise software provider makes access to a core software product conditional upon purchasing its AI analytics module.

5. Elements of a Competition-Law Tying Analysis

A tying case generally requires examination of several elements.

5.1 Two separate products

There must generally be distinct tying and tied products.

If the products are economically inseparable, the tying analysis becomes more difficult.

5.2 Market power in the tying product

The firm generally needs sufficient power in the tying market to impose the arrangement meaningfully.

Market power can arise from:

• market share;
• network effects;
• data;
• ecosystem control;
• switching costs;
• technical barriers;
• intellectual property;
• infrastructure.

5.3 Conditioning

There must generally be some form of condition, pressure, or mechanism connecting access to the tying product with the tied product.

The condition can be:

• contractual;
• technical;
• economic;
• algorithmic;
• automatic.

5.4 Effect on competition

The important question is whether the tying practice:

• forecloses competitors;
• raises entry barriers;
• reduces consumer choice;
• protects monopoly power;
• reduces innovation;
• distorts downstream competition.

6. Technical Tying

Technical tying occurs where products are integrated through technology.

For example:

AI operating system

proprietary AI assistant

↓

technical restrictions prevent alternative assistants from functioning properly.

The customer may technically be able to obtain another product, but the architecture makes meaningful substitution difficult.

7. Contractual Tying

The firm may use an automated contract stating:

“Use of Service A requires subscription to Service B.”

AI-enabled contracting can make such conditions widespread because software can automatically:

• generate contracts;
• enforce conditions;
• prevent transactions;
• terminate access.

The automated nature of enforcement does not necessarily change the competition analysis.

8. Economic Tying

The firm may make the tying product substantially more expensive unless the customer also purchases the tied product.

For example:

Cloud service alone → ₹100

Cloud + proprietary AI → ₹100

This may economically pressure customers to purchase the tied service.

The competition authority would examine whether the pricing arrangement has an exclusionary effect.

9. Algorithmic Tying

An algorithm may recommend or automatically select the tied product.

For example:

“Customers using our AI platform are automatically directed to our payment service.”

If competing payment services are technically available but systematically disadvantaged by the platform, the conduct may raise competition concerns.

10. Default-Based Tying

Defaults are particularly powerful in machine ecosystems.

An AI system may automatically:

• activate its own search engine;
• select its own payment system;
• recommend its own cloud;
• use its own advertising service.

Consumers may technically have alternatives but may rarely switch.

Therefore, default settings can function as an important competitive mechanism.

11. Tying and Network Effects

Machine markets frequently have network effects.

For example:

More users → more data → better AI → more users

If a dominant company ties its AI assistant to a widely used platform, the tied product may gain users rapidly.

This can create:

• scale advantages;
• data advantages;
• developer advantages;
• network effects.

The tied market may therefore become difficult for competitors to enter.

12. Tying and Ecosystem Expansion

A dominant firm can potentially use tying to expand from one market into another.

For example:

Operating system dominance

↓

AI assistant

↓

AI search

↓

Advertising

The competition concern is sometimes described as leveraging.

The key issue is whether the firm's existing market power is being used to restrict competition in the adjacent market.

13. Machine-Directed Tying and Consumer Choice

Tying can reduce consumer choice where users cannot freely select competing products.

This is particularly significant when the tying product is:

• essential software;
• an operating system;
• a major cloud service;
• an AI platform;
• a dominant marketplace.

Consumers may technically have a choice but face substantial:

• switching costs;
• compatibility barriers;
• data migration costs;
• learning costs.

14. Tying and Interoperability

A dominant firm could technically tie products by preventing competitors from interoperating.

For example:

Dominant AI platform

↓

API restrictions

↓

Competitor's AI cannot operate properly

↓

Customer uses dominant firm's AI.

The competition concern may involve both:

• tying; and
• exclusionary interoperability restrictions.

15. Tying and Data

A machine-directed tying arrangement may allow the dominant firm to obtain additional data.

For example:

Core platform

↓

mandatory proprietary AI

↓

AI usage data

↓

better AI model

↓

stronger platform

This creates a feedback loop:

Tying → more users → more data → better AI → stronger market power → greater tying power

16. Tying and Innovation

Tying can affect innovation if competing firms cannot obtain sufficient users.

An emerging AI provider may have:

• better technology;
• lower costs;
• innovative features.

But if customers are automatically directed toward the incumbent's tied product, the competitor may never achieve sufficient scale.

Therefore, competition policy should consider innovation foreclosure.

17. Case Law

There is no separate established body of reported cases dealing specifically with “machine-directed tying.” The following major cases provide important principles that can be applied to AI, algorithms and automated platforms.

18. Case 1 — International Salt Co. v. United States

332 U.S. 392 (1947)

Facts

International Salt possessed patents relating to salt-processing machines and required purchasers or lessees of its machines to purchase salt from it.

Competition issue

The tying arrangement connected:

• patented machinery; and
• salt.

Principle

The Supreme Court found the tying arrangement unlawful under the applicable antitrust law.

Relevance to machine-directed tying

This case illustrates how control over an important technological product can be used to restrict competition in a related product.

A modern analogy could be:

AI hardware → proprietary software/data service

where access to the technology is conditioned upon purchasing the secondary product.

Lesson

Technological control can become a mechanism for extending market power into a separate product market.

19. Case 2 — Northern Pacific Railway Co. v. United States

356 U.S. 1 (1958)

Facts

Northern Pacific used land transactions that required purchasers or lessees to use specified railroad services.

Principle

The Supreme Court discussed the economic significance of tying and the possibility of using power in one market to restrain competition in another.

Machine-economy relevance

The same principle can apply where a dominant digital platform uses control over a core technological service to require a secondary service.

Example

Dominant AI platform → mandatory proprietary payment service

Lesson

Tying can leverage power from one market into another and restrict competitive opportunities.

20. Case 3 — Jefferson Parish Hospital District No. 2 v. Hyde

466 U.S. 2 (1984)

Facts

A hospital arrangement required surgical patients to use the services of a particular anesthesiology provider.

Key principle

The case emphasized the importance of determining whether two products or services are genuinely separate and whether sufficient market power exists.

Machine-economy relevance

This is particularly important for AI products.

Suppose a company argues:

“Our AI assistant is simply part of our platform and is not a separate product.”

The competition analysis may need to determine whether consumers actually regard the products as separate and whether there is meaningful demand for alternatives.

Lesson

Product separateness is an important component of tying analysis.

21. Case 4 — Eastman Kodak Co. v. Image Technical Services, Inc.

504 U.S. 451 (1992)

Principle

The case concerned Kodak's control over parts and service relating to its equipment.

The Supreme Court recognized that significant market power could potentially exist in an aftermarket even where the primary equipment market was competitive.

Machine-economy relevance

This principle is highly relevant to digital ecosystems.

For example:

AI hardware

↓

proprietary software/service ecosystem

Customers who purchase the primary product may become dependent upon a secondary service.

Lesson

Market power can sometimes emerge in an aftermarket or ecosystem surrounding a primary product.

22. Case 5 — Microsoft Corp. v. United States

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

Competition issue

Microsoft's conduct concerning Internet Explorer and the Windows operating system raised important questions concerning technological integration and exclusion.

Relevance to machine-directed tying

Modern AI platforms may similarly integrate:

• operating systems;
• AI assistants;
• browsers;
• search;
• cloud services.

The technological integration may be efficient and beneficial, but competition concerns arise if integration is used to exclude competing products.

Lesson

Technological integration must be assessed in light of its competitive effects rather than merely its technical form.

23. Case 6 — European Commission v. Microsoft

Case T-201/04

Competition issue

Microsoft's conduct concerning Windows and interoperability, including the bundling of products and restrictions affecting competitors, was examined under European competition law.

Relevance

The case is particularly relevant to machine-directed tying because it demonstrates how:

• software integration;
• interoperability;
• platform dominance;
• access to technical information

can interact with competition law.

Machine-economy analogy

A dominant AI operating environment could potentially tie:

• AI assistant;
• search;
• cloud;
• payment;
• data services.

Lesson

Software architecture can have competition-law consequences when a dominant platform uses integration to disadvantage competing products.

24. Case 7 — United States v. Microsoft Corp. and Machine Ecosystems

The Microsoft litigation is especially relevant because it demonstrates that a competition authority may examine the ecosystem rather than an isolated software product.

A modern AI ecosystem may look like:

Operating system

→ AI assistant

→ browser

→ search

→ cloud

→ advertising

The same basic concern can arise:

Does control of the central platform allow the undertaking to extend its power into adjacent markets?

25. Case 8 — Google Android

Google LLC v. Commission, Case T-604/18

Competition issue

The European Union litigation concerned Google's Android ecosystem and arrangements involving applications, search and distribution.

Relevance

The case is particularly useful for understanding competition issues involving:

• mobile ecosystems;
• defaults;
• bundling;
• distribution;
• platform power.

Machine-directed relevance

AI ecosystems may use similar mechanisms.

For example:

AI operating system

↓

mandatory/default AI assistant

↓

default search

↓

default advertising service.

Lesson

Defaults, bundling and ecosystem control can reinforce market power when competitors depend upon access to the dominant platform.

26. Tying and Machine Defaults

Defaults deserve separate attention.

A consumer may technically be able to change a setting but may never do so.

For example:

AI assistant → automatically selects its own shopping service.

If the AI system controls the purchasing decision, the default becomes economically powerful.

Competition authorities may therefore examine:

• default settings;
• ease of switching;
• consumer awareness;
• ranking;
• technical restrictions.

27. Tying Through AI Recommendations

AI recommendation systems create a new form of potential tying.

Instead of saying:

“You must buy Product B.”

the system may effectively say:

“Customers using Product A are automatically recommended Product B.”

This can be less visible than contractual tying.

The competition analysis may therefore focus on whether the recommendation system:

• systematically favors the tied product;
• suppresses rivals;
• limits consumer choice;
• exploits dominance.

28. Tying Through Autonomous Agents

Future AI agents may independently make purchases.

Suppose:

Consumer → AI Agent → chooses products

The AI agent's provider could establish rules such as:

“Our agent only purchases from our affiliated marketplace.”

This could effectively tie:

AI-agent service + affiliated marketplace

even if the consumer never expressly agreed to the individual transaction.

This makes transparency and consumer control important.

29. Tying Through APIs

An API may become a mechanism of technical tying.

Example:

Dominant platform API

↓

access requires use of

proprietary payment system

The customer cannot realistically separate the two services.

This can combine:

• tying;
• interoperability;
• access;
• platform power.

30. Tying Through Cloud Infrastructure

Cloud services are increasingly important to AI businesses.

A cloud provider might offer:

• computing;
• storage;
• AI models;
• databases;
• cybersecurity.

A competition concern may arise if customers are technically or contractually pressured to purchase multiple services together.

Again, bundling is not automatically unlawful.

The relevant question is whether the arrangement has exclusionary effects and whether legitimate efficiencies justify it.

31. Tying and Foreclosure

Foreclosure occurs when rivals are prevented or substantially restricted from competing.

Machine-directed tying may foreclose competitors by:

• denying access to customers;
• increasing rivals' costs;
• reducing their scale;
• limiting data access;
• preventing interoperability;
• making switching difficult.

Foreclosure analysis should be evidence-based rather than assuming that every bundle harms competition.

32. Tying and Market Power Transfer

The basic theory is:

Market A

↓

dominant firm

↓

ties Product B

↓

customers shift toward Product B

↓

competitors in Market B lose scale

↓

competition in Market B weakens

↓

dominant firm gains greater ecosystem power.

This is sometimes described as leveraging market power.

33. Efficiency Defences

Machine-directed tying may produce legitimate efficiencies.

For example:

Better integration

Two products may work better together.

Lower transaction costs

Consumers avoid purchasing separate services.

Improved security

Integrated components may reduce cybersecurity risks.

Better performance

An AI model may operate more efficiently with proprietary infrastructure.

Reduced complexity

A unified system may be easier for consumers to use.

Therefore:

Integration is not automatically anticompetitive.

Competition law must distinguish genuine efficiencies from exclusionary tying.

34. Competition Concerns

The main concerns can be summarized as:

1. Foreclosure

Competitors lose access to customers.

2. Market-power leveraging

Power moves from the tying market to the tied market.

3. Entry barriers

New competitors cannot achieve sufficient scale.

4. Consumer lock-in

Switching becomes difficult.

5. Reduced innovation

Rivals have weaker incentives to innovate.

6. Ecosystem monopolization

One firm becomes dominant across several connected markets.

7. Data accumulation

The tied service generates additional data for the dominant ecosystem.

35. Machine-Directed Tying and Network Effects

Suppose a dominant AI platform ties its own AI model to its operating environment.

The result may be:

More users

↓

more data

↓

better model

↓

better recommendations

↓

more users

This feedback loop can make the tied product increasingly difficult to challenge.

36. Machine Tying and Interoperability

Interoperability can determine whether tying is harmful.

If users can easily install and use competing products, tying may have a weaker exclusionary effect.

If the dominant platform:

• blocks APIs;
• restricts compatibility;
• limits data portability;

the competitive impact may be greater.

37. Machine-Directed Tying and Market Definition

Market definition becomes particularly difficult in AI markets.

For example, are:

• AI assistant;
• search;
• recommendation;
• shopping;

four separate markets or components of one integrated service?

The answer depends on:

• consumer demand;
• substitutability;
• technical functionality;
• commercial reality;
• supplier behavior.

The Jefferson Parish principle concerning separate products is therefore particularly useful.

38. Tying and Aftermarkets

The Kodak case is important because technology ecosystems can create aftermarkets.

For example:

AI hardware

→ software updates

→ proprietary cloud services

→ maintenance

→ AI model access.

A company may have significant power over an aftermarket because customers have already invested in the primary system.

39. Regulatory Challenges

Competition authorities face several challenges.

39.1 Detecting hidden tying

Algorithmic tying may not appear in contracts.

39.2 Understanding technical architecture

Regulators must understand how software restrictions operate.

39.3 Measuring foreclosure

The authority must determine how many competitors are actually affected.

39.4 Distinguishing integration from exclusion

Technological integration can generate substantial legitimate efficiencies.

39.5 Rapid technological change

AI markets can change before a lengthy investigation concludes.

40. Proposed Regulatory Framework

A modern framework for machine-directed tying could examine eight questions.

Question 1

Are there genuinely separate products?

Question 2

Does the undertaking possess substantial power in the tying market?

Question 3

Is access to the tying product conditioned upon the tied product?

Question 4

Is the condition contractual, technical, economic or algorithmic?

Question 5

How much foreclosure does the practice produce?

Question 6

Does it raise barriers to entry?

Question 7

Are there legitimate technological efficiencies?

Question 8

Could a less restrictive method achieve the same efficiency?

This approach helps distinguish harmful tying from legitimate product integration.

41. Human Responsibility for Machine-Directed Tying

A company should generally not avoid competition-law responsibility merely by saying:

“The algorithm made the decision.”

Authorities may examine:

• who designed the system;
• who approved the architecture;
• who controls the algorithm;
• who benefits from the arrangement;
• whether the conduct was foreseeable;
• whether the company monitored the system.

The legal responsibility generally remains connected to the relevant economic undertaking under the applicable competition regime.

42. Remedies

Possible remedies include:

Behavioral remedies

• allow competing products;
• remove discriminatory conditions;
• prohibit exclusive tying;
• provide neutral access.

Technical remedies

• interoperability;
• API access;
• data portability;
• user-controlled defaults.

Structural remedies

In exceptional circumstances, separation of businesses or assets may be considered.

Monitoring remedies

Authorities may require periodic reporting or independent auditing.

43. Long-Term Competition Policy

Machine-directed tying may become increasingly important as products become interconnected.

Future ecosystems may involve:

AI operating system

AI assistant

cloud

payments

search

advertising

autonomous purchasing

The greater the interconnection, the greater the possibility that power in one market can influence several others.

Competition policy will therefore need to examine ecosystem-wide effects.

44. Key Case-Law Comparison

45. Conclusion

Machine-directed tying practices represent an important emerging competition concern because modern technological ecosystems can impose tying conditions through software rather than traditional contracts.

The tying mechanism may operate through:

• default settings;
• APIs;
• technical compatibility;
• automated licensing;
• AI recommendations;
• cloud architecture;
• subscription structures;
• autonomous agents.

The fundamental competition-law questions remain familiar:

1. Is there market power in the tying product?
2. Are the products genuinely separate?
3. Is the customer effectively required or pressured to take the tied product?
4. Does the practice foreclose competitors?
5. Does it create or reinforce market power?
6. Are there legitimate technological efficiencies?

The cases of International Salt, Northern Pacific Railway, Jefferson Parish, Eastman Kodak, Microsoft, EU Microsoft and Google Android provide important foundations for analyzing these questions.

The central principle is:

A machine may execute the tying strategy automatically, but automation does not by itself make the tying practice either lawful or unlawful. The decisive issue is the competitive effect of the underlying conduct, including its impact on market access, innovation, consumer choice and rival firms.

Quick Revision Points

• Tying = conditioning access to one product on obtaining another.
• Machine-directed tying = tying implemented through algorithms, software or automated systems.
• The tying product is generally the product in which the firm possesses market power.
• The tied product is the separate product whose purchase or use is imposed or strongly induced.
• Tying can be contractual, technical, economic, algorithmic or default-based.
• AI recommendations can operate as a less visible form of tying.
• APIs and interoperability restrictions can facilitate technical tying.
• Data accumulation can strengthen the effects of tying.
• Network effects can amplify foreclosure.
• Legitimate integration and efficiency must be distinguished from exclusionary tying.
• International Salt → technological tying.
• Northern Pacific Railway → leveraging through tying.
• Jefferson Parish → separate products and market power.
• Eastman Kodak → aftermarket/ecosystem power.
• Microsoft → software integration and exclusion.
• EU Microsoft → bundling and interoperability.
• Google Android → defaults, bundling and ecosystem power.
• Automation does not remove the underlying competition-law responsibility.
• The long-term concern is whether machine-directed tying converts technological integration into durable ecosystem control.