Future Pricing Intentions Disclosure Prohibitions

Introduction

Future Pricing Intentions Disclosure Prohibitions refer to competition-law rules or prospective regulatory frameworks that restrict firms from communicating, publishing, exchanging, or signaling information about their future prices, intended price increases, discounts, output decisions, pricing algorithms, or other commercially sensitive pricing parameters where the disclosure may reduce strategic uncertainty and facilitate coordination among competitors.

Traditionally, competition law distinguishes between legitimate public price information and forward-looking strategic information. The latter is considerably more dangerous because competitors can use it to coordinate without entering into an express cartel agreement.

The future significance of these prohibitions is particularly strong in algorithmic markets, where pricing systems can process competitors' signals instantaneously and adjust prices automatically.

1. Meaning and Scope

A pricing-intentions disclosure prohibition may cover:

• announcements of intended future prices;
• advance notification of price increases;
• disclosure of future discounts or promotions;
• communications concerning future output levels;
• sharing of intended pricing formulas;
• disclosure of algorithmic pricing parameters;
• statements concerning future capacity or supply restrictions;
• exchange of competitively sensitive pricing forecasts;
• private communications through trade associations;
• communications through common software or pricing intermediaries;
• public announcements designed to communicate strategically with competitors.

The essential concern is not merely the price itself, but the disclosure of information that allows competitors to predict one another's future conduct.

Basic distinction

2. Why Future Pricing Intentions Are Particularly Dangerous

Competition normally operates under strategic uncertainty.

A firm must ask:

What will my competitor charge tomorrow?

If competitors disclose their future intentions, that uncertainty disappears.

Suppose four competing firms independently determine:

• Firm A will increase prices by 10%;
• Firm B will increase prices by 10%;
• Firm C will follow within two weeks;
• Firm D will reduce discounts.

Even without an express agreement, the disclosures can create a predictable pricing environment.

The competitive process changes

Normal competition:

Uncertainty → independent decisions → rival reaction → competitive pressure

After systematic disclosure:

Disclosure → predictable rival response → coordinated expectations → reduced uncertainty

Thus, future pricing disclosure can become a coordination mechanism.

3. Future Pricing Signals Versus Express Cartels

A major future competition-law question is whether the law should prohibit only agreements or also certain forms of unilateral signaling.

Traditional cartel law normally requires some form of:

• agreement;
• concerted practice;
• meeting of minds; or
• coordinated conduct.

However, digital markets create situations where a firm may communicate strategically without receiving an explicit reciprocal commitment.

For example:

"We intend to increase our subscription price by 15% next month."

A competitor's algorithm may immediately respond.

If the announcement is made specifically to facilitate coordinated conduct, the distinction between unilateral communication and concerted practice becomes difficult.

4. The EU Legal Framework

Article 101 TFEU is particularly relevant.

The prohibition covers agreements and concerted practices that have as their object or effect the prevention, restriction, or distortion of competition.

Future pricing information can therefore become problematic where communication reduces strategic uncertainty concerning future competitive conduct.

The EU approach has historically been skeptical of exchanges involving:

• future prices;
• intended price movements;
• output;
• market strategy; and
• other commercially sensitive information.

The crucial question is generally whether the communication is capable of influencing competitors' market conduct.

5. The UK Position

Under the Competition Act 1998, the prohibition of anti-competitive agreements and concerted practices similarly provides the foundation for addressing future pricing signals.

The UK approach is particularly relevant to digital markets because:

• pricing algorithms can react rapidly;
• platforms can publish future pricing schedules;
• algorithmic intermediaries can transmit pricing information;
• firms can observe competitors' announcements automatically.

The future challenge will therefore be distinguishing:

Legitimate transparency

from

strategic transparency designed to facilitate coordination.

6. German Competition Law and Ordoliberalism

German competition law provides an especially interesting theoretical framework.

Under the GWB, competition is not simply viewed as a mechanism for producing low prices. Maintaining an autonomous competitive process is itself important.

Future pricing disclosure may therefore be problematic because it can undermine independent market decision-making.

The concern is closely connected with ordoliberal thinking:

Competition requires competitors to make independent decisions under conditions of uncertainty.

If algorithms eliminate that uncertainty by communicating future strategies, the market may become structurally susceptible to coordination.

7. Future Pricing Disclosures in Algorithmic Markets

This issue becomes considerably more important when pricing is automated.

Consider:

Firm A → pricing algorithm → public announcement → Firm B's algorithm → automatic response

There may be no telephone call, email, or human meeting.

Yet the economic effect can resemble coordination.

Example

Five airlines operate competing routes.

Their algorithms observe:

• announced future fares;
• inventory;
• expected demand;
• competitor capacity;
• promotional schedules.

If one airline publicly announces:

"Fares will increase by 20% from 1 December."

other algorithms may immediately adjust.

The first firm's announcement may therefore function as a coordination signal.

8. Future Prohibition Model

A future competition regime could establish a presumption against certain categories of disclosure.

Category 1 — Private future-price exchange

Prohibition likely

Competitor A privately communicates its intended future price to Competitor B.

Category 2 — Reciprocal algorithmic information sharing

Very high risk

Algorithms automatically exchange future pricing information.

Category 3 — Trade-association disclosures

High risk

Industry members disclose future pricing plans through a common association.

Category 4 — Public signaling

Context dependent

A public announcement can be legitimate, but may become problematic where its purpose or effect is to coordinate rivals.

Category 5 — Regulatory disclosure

Generally legitimate where disclosure is legally required and not designed to facilitate competitor coordination.

9. Six Important Case Laws

1. Wood Pulp II — Ahlström Osakeyhtiö v Commission

The European Court considered whether parallel conduct among producers could establish coordinated behavior.

The case remains important because it emphasizes that parallel pricing alone does not automatically establish concerted practice.

Relevance

Future pricing-intention prohibitions must therefore avoid transforming every parallel price movement into an infringement.

There must be evidence of communication, coordination, or other circumstances capable of explaining the conduct beyond independent market behavior.

2. T-Mobile Netherlands BV v Raad van bestuur van de Nederlandse Mededingingsautoriteit

This is one of the most important authorities concerning information exchange.

The Court of Justice recognized that even a single meeting involving the exchange of competitively sensitive information can potentially constitute a concerted practice where it is capable of influencing competitors' subsequent market conduct.

Importance

The case demonstrates that competition law does not necessarily require:

• a long-running cartel;
• written agreement;
• multiple meetings; or
• explicit price fixing.

A single strategically important exchange can be sufficient.

Future significance

A single digital transmission of future pricing intentions could therefore become highly significant.

3. Eturas UAB v Lietuvos Respublikos konkurencijos taryba

This case concerned an electronic platform through which a common limitation was communicated to participating travel agencies.

The Court addressed the evidentiary significance of information communicated through an electronic system and the circumstances in which participation could generate responsibility for coordinated conduct.

Importance for future pricing disclosure

It demonstrates that competition law can operate where coordination is mediated through software rather than traditional human communications.

This is highly relevant to:

• pricing platforms;
• shared SaaS systems;
• algorithmic marketplaces;
• common APIs; and
• automated pricing tools.

4. AC-Treuhand AG v Commission

The Court of Justice confirmed that an undertaking can potentially infringe Article 101 even when it is not itself operating at the same level of the market as the cartel participants, provided that its conduct contributes to the implementation of the anti-competitive arrangement.

Significance

This is highly relevant to future pricing-intention regulation because pricing intermediaries may facilitate coordination.

Potential intermediaries include:

• pricing-software providers;
• data platforms;
• algorithmic consultants;
• industry information exchanges;
• market-intelligence services.

The legal focus may therefore move beyond competitors themselves toward coordination infrastructure.

5. United States v Airline Tariff Publishing Co.

This is one of the most important examples of competition concerns surrounding public dissemination of future pricing information.

The case involved airline fare information and communications that could facilitate coordination.

Importance

It demonstrates why future pricing announcements may create competition concerns even where firms do not exchange private messages.

The crucial economic issue is whether communication allows competitors to:

• observe intended pricing;
• retaliate against deviations;
• coordinate price movements; or
• stabilize supra-competitive pricing.

6. FTC v Cement Institute

The United States Supreme Court addressed information exchanges and pricing practices within the cement industry.

The case is historically significant for the recognition that information-sharing arrangements can affect competitive conditions and facilitate coordinated pricing behavior.

Relevance

The case supports the broader principle that competition law can examine information architecture, not merely explicit price agreements.

Future digital regulation can extend this principle to:

• real-time pricing data;
• future price announcements;
• algorithmic forecasts;
• automated market signals.

10. Additional Important Authorities

Several other authorities provide useful conceptual foundations.

United States v Container Corporation of America

The Supreme Court examined the competitive consequences of information exchanges among competitors.

It is important for the proposition that the exchange of information can facilitate coordinated pricing even without a conventional cartel agreement.

In re Polypropylene

The European Commission's polypropylene cartel decision illustrates the classic relationship between communications among competitors and coordinated pricing behavior.

Piau

The case illustrates the importance of examining coordination and market structures where rules or information-sharing mechanisms can restrict competitive autonomy.

11. Public Announcements: The Difficult Borderline

One of the most difficult future questions is:

Should a company be prohibited from publicly announcing its future prices?

The answer cannot simply be "yes."

Consumers may legitimately benefit from advance information.

Examples include:

• airline tickets;
• subscription prices;
• utility tariffs;
• insurance premiums;
• product launches.

Therefore, a blanket prohibition could harm consumers.

The better approach is likely to distinguish between:

Consumer-facing transparency

and

competitor-facing strategic signaling.

12. The "Audience" Problem

A future rule may examine the intended or reasonably foreseeable audience.

Legitimate

"Customers purchasing this subscription after January 1 will pay £20."

Potentially problematic

"We will increase our prices by 20% next month, and we expect the market to follow."

The second communication contains an implicit strategic message to competitors.

Thus, the legal inquiry could examine:

1. Who received the information?
2. Was the information necessary for consumers?
3. Was it communicated unusually early?
4. Was it detailed enough to facilitate coordination?
5. Was it directed toward competitors?
6. Did competitors respond?
7. Did the disclosure reduce strategic uncertainty?

13. Algorithmic Pricing and Tacit Coordination

The future problem becomes more complicated where algorithms independently learn that coordinated pricing produces higher profits.

Suppose:

Algorithm A learns:

Price = £100 → profit £10

Algorithm B learns:

Price = £100 → profit £10

Both algorithms independently maintain the £100 price.

There may be no human agreement.

A prohibition on future pricing intentions does not necessarily solve this problem.

This creates two separate regulatory categories:

Communication-based coordination

Competitors communicate future intentions.

Autonomous algorithmic coordination

Algorithms independently converge on coordinated outcomes.

The former can be addressed through disclosure prohibitions. The latter may require additional regulation.

14. Pricing Intermediaries

An especially important future development will concern third-party pricing systems.

Imagine:

10 hotels → common pricing platform → algorithm → recommended room prices

If the system uses confidential information concerning each hotel's future pricing strategy, the intermediary could become a mechanism for coordination.

Future competition law may therefore require:

• information firewalls;
• data minimization;
• individualized algorithmic models;
• restrictions on competitor-level future data;
• audit logs;
• separation of datasets.

15. Safe-Harbour Possibility

A sophisticated future regime should probably create safe harbours.

For example, disclosures could receive protection where:

• legally required;
• necessary for consumer protection;
• historical rather than forward-looking;
• sufficiently aggregated;
• sufficiently delayed;
• independently generated;
• not individualized;
• incapable of identifying a competitor's intended strategy.

This prevents competition law from becoming a general prohibition on commercial transparency.

16. Presumptions and Burden of Proof

A future regulatory framework could create presumptions.

Presumption of low risk

Information that is:

• historical;
• aggregated;
• anonymized;
• sufficiently old.

Presumption of elevated risk

Information that is:

• individualized;
• future-oriented;
• competitor-specific;
• precise;
• commercially sensitive.

Strong presumption

Direct exchange of:

• intended future prices;
• intended discounts;
• intended output;
• future capacity restrictions.

Such a graduated system would be more economically rational than a blanket prohibition.

17. Relationship With Digital Markets Regulation

Future pricing-intention prohibitions may increasingly overlap with digital-market regulation.

Platforms can control:

• ranking;
• visibility;
• pricing interfaces;
• seller dashboards;
• recommendation systems;
• advertising;
• promotions.

A dominant platform could potentially use its information architecture to make sellers' future pricing decisions visible to one another.

This could transform the platform from a neutral intermediary into coordination infrastructure.

Competition authorities may therefore investigate not only prices but also the platform's:

information architecture.

18. Remedies

Potential remedies include:

Structural remedies

• separation of pricing businesses;
• separation of marketplace and pricing-information functions;
• restrictions on ownership of pricing intermediaries.

Behavioral remedies

• prohibition of future-price communications;
• restrictions on competitor-specific data;
• information-firewall obligations.

Algorithmic remedies

• algorithmic audits;
• independent model testing;
• restrictions on competitor-level inputs;
• logging of pricing decisions.

Transparency remedies

• disclosure of algorithmic parameters to regulators;
• preservation of pricing records;
• mandatory compliance documentation.

19. Enforcement Challenges

Future enforcement will face several difficulties.

1. Distinguishing legitimate transparency from signaling

Companies need to communicate prices to consumers.

2. Proving intent

The same announcement can have both legitimate consumer and strategic competitive effects.

3. Algorithmic speed

Coordination can occur in milliseconds.

4. Attribution

Was the conduct caused by:

• executives;
• programmers;
• algorithms;
• third-party software;
• data suppliers?

5. Cross-border enforcement

A pricing algorithm may operate across dozens of jurisdictions simultaneously.

6. Evidence

Authorities may need access to:

• source code;
• model logs;
• API records;
• training data;
• internal communications;
• pricing histories.

20. Future Legal Test

A useful future test could be:

F-PID Test — Future Pricing Intention Disclosure

Competition authorities could ask:

F — Forward-looking?
Does the information concern future conduct?

P — Precise?
Is the information sufficiently specific to guide competitors?

I — Individualized?
Can the information be attributed to a particular competitor?

D — Disclosure capable of coordination?
Could the communication materially reduce strategic uncertainty?

If all four conditions are satisfied, the disclosure should receive heightened scrutiny.

21. Future Relationship With Tacit Collusion

Future law must also maintain an important distinction:

Tacit coordination is not automatically equivalent to an agreement.

If competitors independently observe market conditions and independently adopt similar prices, competition law should not automatically condemn them.

The more difficult situation arises when firms deliberately create communication channels through which future intentions become predictable.

Thus:

Independent observation ≠ necessarily unlawful

but

Strategic disclosure facilitating coordinated conduct = substantially greater risk.

22. Fundamental Competition-Law Principle

The deepest justification for these prohibitions is the preservation of independent decision-making.

Competition law assumes that each firm should independently determine:

• price;
• output;
• quality;
• investment;
• innovation;
• capacity.

Future pricing disclosures can interfere with that independence by allowing competitors to anticipate and accommodate each other's decisions.

Therefore, the future law of pricing disclosure is likely to move from the traditional question:

"Did the firms agree on a price?"

toward a broader question:

"Did the firms deliberately create an information environment in which independent pricing decisions became unnecessary or strategically constrained?"

23. Conclusion

Future Pricing Intentions Disclosure Prohibitions are likely to become increasingly important as markets become more transparent, automated, and algorithmically mediated.

The central regulatory objective should not be to prohibit ordinary price transparency. Rather, it should be to prevent firms from using forward-looking commercially sensitive information as a mechanism for reducing competitive uncertainty.

The most significant future areas are likely to include:

1. advance price announcements;
2. algorithmic pricing signals;
3. competitor-specific future data;
4. common pricing platforms;
5. pricing intermediaries;
6. trade-association information exchanges;
7. AI-generated pricing recommendations;
8. automated responses to rivals' future intentions;
9. cross-platform pricing systems; and
10. regulatory controls over algorithmic information architecture.

The cases of T-Mobile Netherlands, Eturas, AC-Treuhand, Airline Tariff Publishing, Cement Institute, and Container Corporation collectively demonstrate the evolution from traditional cartel analysis toward a broader concern with information exchange, electronic coordination, intermediaries, and strategic uncertainty.

The future competition-law principle is therefore likely to be:

Competition requires not merely independent prices, but meaningful independence in the formation of future pricing decisions.