GEMINI3, GOOGLE’s real moat in AI is its 8 billion users

The launch of Gemini 3 marks a turning point for Google. After several years of catching up, Google is returning to the center of the game with a model that exceeds its predecessors on benchmarks, including a score of 1501 Elo on LMArena. This launch also sheds light on the frantic race led by Sam Altman, because Google is now shifting the balance of power towards distribution, infrastructure and the ability to deploy AI on a planetary scale.

For two years, OpenAI, Anthropic and Mistral in France have structured the public narrative around ever more efficient models. Each release of GPT, Claude or Llama created a new cycle of comparison. Gemini 3 is part of this logic, with gains in reasoning, multimodality and interface generation. But Google is no longer just racing for performance: it is moving forward in a field that its competitors will have difficulty following.

Because Google controls the global digital entry points: Search, Gmail, YouTube, Android, Maps, Chrome, Workspace… so many products used daily by billions of users. Where OpenAI must convince people to install an application, Google simply integrates its AI and invites its users to activate it. This structural difference is decisive. Gemini 3 is already integrated into Search via AI Mode. The Pro and Ultra versions are accessible in Workspace. And Google is launching an offensive on Generation Z, with a free year of Gemini Advanced for all American students, an initiative with which OpenAI should align.

This logistical force changes the economics of AI because it guarantees immediate adoption with almost zero acquisition cost, it makes it possible to collect usage signals on a scale inaccessible to competitors, and it offers the possibility of continuously optimizing inference costs, a decisive factor in an industry where each request consumes significant hardware resources.

Even if OpenAI or Anthropic publish a more efficient model, they remain dependent on external relays, third-party applications, API integrations, OEM partnerships.

Beyond OpenAI or Anthropic, it is above all the market for agentic applications that is shrinking. The gradual integration of Gemini 3 into the entire Google ecosystem is directly changing the dynamics of the agent market. Many applications that have appeared in recent months (email assistants, task co-pilots, personal search agents, summary, organization or writing tools) occupied a white zone left by the big players. By injecting agentic capabilities into Search, Gmail, Docs, Android or YouTube, Google closes this window and absorbs the majority of generic use cases. Horizontal agents become difficult to defend. Future growth is moving towards vertical niches, proprietary data and complex environments. The market is not contracting, but it is restructuring: fewer front-end applications, more deep specializations.

The competition is entering a new phase. After Google, another player is now expected: Apple. With the gradual integration of generative AI into iOS and the arrival of agents capable of acting directly at the device level, the Cupertino company also has massive distribution leverage. Its next announcements will have a decisive impact on the balance of power in terms of agents, both for the platforms and for the application ecosystem which depends on their choices.