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Chronicles

The story behind the story

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The US DOJ says Google backed off more restrictive Gemini distribution deals, partly due to its case; Google says rivals talked to Samsung about chatbot deals

OpenAI, Microsoft and Meta Platforms have approached Samsung about deals to put their AI chatbots onto Samsung phones …

The Information Erin Woo

Context & Ripple Effects

Google had already offered a three-year commitment not to require US device makers, browsers, or carriers to distribute Gemini in its remedies proposal, a concession tied to the antitrust remedies process. Earlier scrutiny also examined whether Gemini Nano’s Samsung preinstallation could impede rival chatbots.

The DOJ now characterizes its case as part of why Google softened more restrictive Gemini terms, while Google points to outreach from OpenAI, Microsoft, and Meta as evidence that Samsung remains contestable. The dispute centers on whether device placement is an open market or one shaped by payments and contractual leverage.

First-order effects

  • Google faces a narrower ability to make Gemini distribution conditional on partners’ commitments, while Samsung gains more room to negotiate chatbot placement with multiple providers.
  • OpenAI, Microsoft, and Meta gain a clearer opening to pitch Samsung on distribution, even as Google maintains that rival interest already demonstrates competition.

Second-order effects

  • Samsung’s bargaining value rises: competing chatbot suppliers may need to offer better commercial terms or product integration to secure prominent placement, especially given reports that Google pays Samsung for preinstallation in a two-year Gemini arrangement.
  • The DOJ can use Google’s changed terms as evidence that enforcement affects AI distribution conduct, while Google can use rival approaches to argue that handset distribution is not foreclosed.

Third-order effects

  • If remedies and regulatory scrutiny continue to constrain exclusivity-like AI placement terms, handset makers could become more important gatekeepers that allocate access among competing assistants rather than defaulting to a single provider.
  • AI distribution competition may increasingly turn on auditable contract terms—preinstallation, defaults, and partner obligations—bringing app and device deals closer to the antitrust scrutiny already applied to platform distribution.

The trend: The story is one data point in the shift from model competition alone toward competition for controlled device-distribution channels under antitrust oversight.