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tech 28 June 2026

Google Limits Meta's Use of Its Gemini AI Models

Amid rising demand, Google has imposed restrictions on Meta's use of its Gemini AI models, raising questions about the future of collaboration between these tech giants.

Article inspired by the original source
Google limits Meta's use of its Gemini AI models ↗ www.cnbc.com

Google and Meta: A Tense Collaboration

In June 2026, Google announced it would limit Meta's use of its Gemini AI models. According to the Financial Times, this decision followed a request for higher computing capacity than Google could provide, disrupting and delaying some of Meta's internal AI projects. This situation raises critical questions about the future of collaboration between these two tech giants.

The Challenges of Computing Capacity

With the rise of AI, the demand for computing capacity is skyrocketing. Tech companies like Google and Meta are spending billions on chips and data centers but struggle to secure enough resources. The current situation between Google and Meta perfectly illustrates this challenge. In March 2026, Google informed Meta that it could not meet the full Gemini capacity Meta wanted to purchase.

Impact on Meta's AI Projects

Due to the restrictions imposed by Google, Meta had to reassess its use of Gemini AI models. Meta's exceptional demand made the situation particularly critical compared to other Google clients who were also affected but to a lesser extent. Meta has thus encouraged its employees to be more efficient with AI tokens, the units measuring AI usage.

The Growing AI Model Market

According to a McKinsey report, the global AI market is expected to reach $390 billion by 2025. Companies are investing heavily in AI technologies to remain competitive, but managing computing resources remains a major challenge. The tensions between Google and Meta might prompt other companies to diversify their AI service providers to avoid such situations.

What Alternatives for Meta?

Facing these limitations, Meta could explore several options. One would be to develop its own AI capabilities in-house, although this takes time and resources. Alternatively, Meta could turn to other AI service providers like AWS or Microsoft Azure, which might offer complementary solutions to Google's.

Conclusion: Towards a New Era of Collaboration?

The situation between Google and Meta could be a catalyst for reevaluating strategic partnerships in the tech sector. It will be interesting to see how these companies navigate these troubled waters and whether it will result in strengthened collaboration or divergent paths.

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