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FTC 6(b) Study on AI Partnerships and Investments

high confidence · updated 2026-06-06

FTC staff report (Jan 2025) documenting $20B+ partnerships between Microsoft/OpenAI, Amazon/Anthropic, and Alphabet/Anthropic — investigative, not enforcement.

The FTC 6(b) Study on AI Partnerships and Investments is a Section 6(b) investigative staff report issued by the U.S. Federal Trade Commission on January 17, 2025, documenting three multi-billion-dollar partnerships between cloud service providers and AI developers: Microsoft and OpenAI, Amazon and Anthropic, and Alphabet and Anthropic. The report documents market-structure concerns rather than initiating enforcement. It is filed alongside legislation pages as a government regulatory document, not as a law; the underlying source is summarized at FTC 6(b) Staff Report: Partnerships Between Cloud Service Providers and AI Developers.

FieldValue
Enacting bodyFederal Trade Commission (staff, Chair Lina Khan)
TypeSection 6(b) staff report (investigative, non-enforcement)
IssuedJanuary 17, 2025
Orders issuedJanuary 2024
SubjectsAlphabet, Amazon, Microsoft; Anthropic, OpenAI
Source summaryFTC 6(b) Staff Report: Partnerships Between Cloud Service Providers and AI Developers

Scope

The report examines three partnerships between large cloud service providers (CSPs) and AI developers:

  1. Microsoft and OpenAI
  2. Amazon and Anthropic
  3. Alphabet and Anthropic

Across the three, it documents more than $20 billion in cumulative financial investment, together with compute credits, engineering-talent placement, and exclusivity rights. The orders that generated the underlying information were issued in January 2024.

Key findings

The staff report identifies several features of the partnerships that bear on market structure:

  • Equity and revenue-sharing rights retained by the cloud service providers.
  • Consultation, control, and exclusivity rights that CSPs gained through their investments.
  • Input-access implications covering compute and engineering talent.
  • Switching costs imposed on AI developers.
  • Information asymmetry, with CSPs obtaining sensitive technical and business information unavailable to competitors.

The report does not initiate enforcement; it is a documentation exercise intended to put facts on the record.

Status and political context

The report was issued in the final days of the Biden-era FTC under Chair Lina Khan. Incoming Republican Chair Andrew Ferguson issued a separate statement (Source: Raw Sources/ferguson-ai-6b-statement.pdf) signaling a different approach. Follow-through under the subsequent administration has been limited, consistent with the broader deregulatory posture of America's AI Action Plan and Executive Order 14365 — Ensuring a National Policy Framework for AI.

Comparison with other competition approaches

The 6(b) report documents market-structure concerns specific to hyperscaler-lab partnerships, flagging switching costs and information asymmetry. By comparison, the EU AI Act focuses on model-level obligations, and a separate EU competition review of the same partnerships has narrowed. In the United Kingdom, the Competition and Markets Authority (CMA) conducted a parallel review of the Microsoft-OpenAI partnership that concluded without remedies. America's AI Action Plan treats industry concentration as an acceptable cost of national-security competitiveness.

InstrumentPosture on hyperscaler-lab partnerships
FTC 6(b) (2025)Document market-structure concerns; flag switching costs, information asymmetry
[[eu-ai-act\EU AI Act]]Focus on model-level obligations; separate competition review of the same partnerships has narrowed
UK CMAParallel review of Microsoft-OpenAI concluded without remedies
[[americas-ai-action-plan\America's AI Action Plan]]Treats industry concentration as acceptable cost of national-security competitiveness

The report illustrates a tension between investigation and enforcement: it documents concerns but does not act on them, and the change of administration has limited near-term follow-through. It also reflects competing framings of industry concentration. The Biden-era FTC frames concentration as a competition problem, while America's AI Action Plan frames it as an industrial-policy asset. Parallel EU and UK competition reviews have also narrowed, which some observers read as transatlantic convergence on deprioritizing structural intervention.

Relationships