FTC Artificial Intelligence Policy 2026: Competition, Consumer Protection, and the Regulatory Frontier

The Federal Trade Commission has positioned itself as the central U.S. federal agency in the emerging regulatory framework for artificial intelligence. Operating through its dual statutory mandate — preventing unfair methods of competition under Section 5 of the FTC Act and prohibiting unfair or deceptive acts or practices affecting consumers — the FTC has developed an AI policy posture that touches foundation model markets, algorithmic decision-making, AI-generated content and deception, and the data practices that underpin AI systems.

Unlike sector-specific AI regulations in the European Union (the EU AI Act) or domain-specific rules from financial regulators (the SEC, CFPB, or banking agencies), the FTC's AI framework is horizontal — it applies across industries and business models wherever AI systems interact with U.S. consumers or affect U.S. competitive markets. For Turkish technology companies, investors, and businesses deploying AI in U.S. markets, the FTC's evolving enforcement posture defines a significant compliance and strategic risk landscape.

The FTC's competition mandate — shared with the Department of Justice Antitrust Division — applies to AI markets through several theories:

Foundation model market concentration: The market for large language models and other foundation models is highly concentrated, with a small number of companies (OpenAI, Google/DeepMind, Anthropic, Meta, Microsoft) controlling the most capable systems. The FTC has examined whether this concentration, and the investment relationships between major technology companies and foundation model developers, raises antitrust concerns. The FTC's 2024 study of generative AI partnerships — examining relationships such as Microsoft/OpenAI, Google/Anthropic, and Amazon/Anthropic — signaled that these arrangements are subject to antitrust scrutiny.

Vertical integration and foreclosure: Large technology companies that control both AI infrastructure (cloud computing, chips, data) and AI applications may be able to foreclose competition by denying rivals access to essential inputs or by self-preferencing their own AI products. The FTC has applied foreclosure theories in prior technology markets and has indicated that similar analysis applies to AI.

Algorithmic collusion: AI pricing and recommendation systems used by competing firms could, in theory, facilitate coordinated pricing without explicit agreement — a form of algorithmic collusion that antitrust law is still developing tools to address. The FTC has flagged this as an area of concern.

Data as a competitive moat: The data advantages of incumbent technology companies — accumulated through years of consumer interaction — may create barriers to entry in AI markets that are difficult for new entrants to overcome. The FTC has examined whether data accumulation practices constitute anticompetitive conduct.

The FTC's consumer protection mandate applies to AI through the prohibition on unfair or deceptive acts or practices (UDAP):

AI-generated deception: The FTC has taken the position that using AI to generate deceptive content — fake reviews, synthetic endorsements, deepfake impersonations — violates the FTC Act's prohibition on deceptive practices. The FTC's 2024 rule on fake reviews and testimonials explicitly addressed AI-generated content.

Algorithmic bias and discrimination: AI systems that produce discriminatory outcomes in credit, employment, housing, or other consumer-facing decisions may constitute unfair practices under the FTC Act, independent of whether they violate sector-specific anti-discrimination laws. The FTC has coordinated with the CFPB, EEOC, and DOJ on a joint statement on AI and civil rights.

Transparency and disclosure: The FTC has indicated that businesses using AI in consumer-facing contexts — particularly in ways that affect material consumer decisions — may have disclosure obligations. Undisclosed use of AI in customer service, content generation, or decision-making could constitute a deceptive practice.

Data practices: The data collection, retention, and use practices that underpin AI systems are subject to FTC oversight under its data security and privacy enforcement authority. The FTC has brought enforcement actions against companies whose data practices — including practices that feed AI training — violated consumer expectations or prior representations.

The FTC published a significant report examining the data practices of major AI and social media companies, finding that these companies engaged in "vast surveillance" of consumers and that existing legal frameworks were inadequate to address the scale and opacity of AI-driven data collection. The report recommended legislative action and signaled that the FTC would use its existing authority aggressively in the interim.

The FTC has brought enforcement actions against companies for AI-related violations, including:

• Actions against companies using AI-generated fake reviews or testimonials
• Actions against companies making unsubstantiated claims about AI capabilities ("AI washing")
• Actions against companies whose AI-powered products caused consumer harm through biased or inaccurate outputs
• Actions against companies that failed to adequately disclose AI use in consumer-facing contexts

The FTC's final rule on impersonation — which prohibits the use of AI to impersonate government agencies, businesses, or individuals — took effect in 2024 and has been actively enforced. The rule addresses the specific harm of AI-generated deepfakes and synthetic voice/video used to defraud consumers.

The FTC has engaged in active coordination with international AI regulators, including the EU's AI Office (responsible for enforcing the EU AI Act), the UK's Competition and Markets Authority (CMA), and other G7 competition authorities. This coordination means that FTC AI enforcement postures increasingly reflect and influence global regulatory norms.

The FTC's examination of the foundation model market — and the investment relationships between Big Tech and foundation model developers — is the most significant competition policy development in AI. The key questions the FTC has examined:

Are Microsoft/OpenAI, Google/Anthropic, and Amazon/Anthropic partnerships reportable transactions under the HSR Act? The FTC and DOJ have examined whether these arrangements, structured as investments rather than acquisitions, should have been subject to HSR notification and antitrust review. The agencies have indicated that they will scrutinize investment structures designed to achieve de facto control without triggering merger review.

Do these partnerships foreclose competition? If a major cloud provider's investment in a foundation model developer results in preferential access to that model — or in the foundation model developer's products being optimized for the investor's cloud platform — this could foreclose competition in both foundation model markets and cloud markets.

What remedies are appropriate? The FTC has not yet imposed structural remedies (divestiture) in AI markets, but has indicated that behavioral remedies — interoperability requirements, data access mandates, non-discrimination obligations — are under consideration.

Turkish technology companies entering the U.S. market with AI-powered products or services must assess their exposure to FTC enforcement across both competition and consumer protection dimensions:

• Product claims: Claims about AI capabilities must be substantiated. "AI washing" — overstating the AI capabilities of a product — is an enforcement priority
• Consumer disclosures: Material use of AI in consumer-facing contexts should be disclosed; the FTC has not yet issued a bright-line disclosure rule, but enforcement actions have established that undisclosed AI use in sensitive contexts (customer service, credit decisions, health information) is high-risk
• Data practices: Data collection and use practices that feed AI systems must comply with the FTC's data security and privacy standards and must be consistent with representations made to consumers
• Algorithmic outputs: AI systems that produce discriminatory or harmful outputs in consumer-facing contexts create FTC enforcement exposure independent of intent

Turkish investors considering investments in U.S. AI companies should incorporate FTC regulatory risk into their due diligence:

• Enforcement history: Has the target company received FTC civil investigative demands (CIDs) or been the subject of FTC enforcement actions?
• Data practices: Are the company's data collection and use practices consistent with FTC standards?
• Product claims: Are the company's AI capability claims substantiated?
• Competitive position: Does the company's market position or business model raise competition concerns that could attract FTC scrutiny?

Turkish companies operating in both U.S. and EU markets must navigate the intersection of FTC AI enforcement and the EU AI Act. While the frameworks differ — the EU AI Act is a risk-based regulatory framework with specific prohibited uses and high-risk categories, while the FTC's approach is enforcement-based and horizontal — there is significant overlap in the underlying concerns (transparency, bias, consumer harm, market concentration). Companies that achieve compliance with the EU AI Act's requirements for high-risk AI systems will generally be well-positioned for FTC scrutiny, though the specific requirements differ.

Turkish AI companies seeking partnerships with U.S. technology companies — including the type of investment relationships that the FTC has scrutinized in the Microsoft/OpenAI and Google/Anthropic context — should be aware that such arrangements may attract FTC attention if they involve significant market participants. Structuring these partnerships to ensure genuine independence and competitive neutrality reduces regulatory risk.

The FTC's AI enforcement posture has developed in the absence of comprehensive federal AI legislation. Congress has considered but not enacted AI-specific legislation, leaving the FTC to apply its existing statutory authority to AI contexts. The FTC has repeatedly called for legislative action to provide clearer authority and stronger tools for AI oversight.

The legislative landscape may shift, and any federal AI legislation would likely affect the FTC's role and authority. Turkish companies and investors with U.S. AI exposure should monitor legislative developments alongside FTC enforcement activity.

The FTC's AI policy framework is active and evolving. Enforcement actions are ongoing, the foundation model market investigation continues, and the FTC's coordination with international regulators means that U.S. AI regulatory developments have global implications. For Turkish technology companies and investors, proactive engagement with FTC compliance requirements — rather than reactive response to enforcement — is the appropriate posture.

ULF New York advises Turkish technology companies, investors, and businesses on U.S. regulatory compliance, FTC enforcement risk, AI governance, and cross-border technology transactions. Contact us for a consultation.