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Morgan Stanley and the GDI: The Future of the Economy in the Age of AI

🤖 Models & LLM·Tom Levy·

Morgan Stanley and the GDI: The Future of the Economy in the Age of AI

Morgan Stanley and the GDI: The Future of the Economy in the Age of AI
Key Takeaways
1Morgan Stanley proposes the Gross Domestic Intelligence (GDI) to assess the economy in the age of AI.
2The GDI focuses on AI resources, including GPUs and data centers.
3The United States dominates with 75% of the world's AI computing power, far ahead of China.
💡Why it mattersThe GDI could redefine global economic competitiveness by emphasizing AI.
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Full Analysis

A New Economic Metric for the AI Era

In the age of artificial intelligence, a new method of evaluating economies is emerging: Gross Domestic Intelligence (GDI). This concept, which could transform our understanding of economic resources, is highlighted by analysts at Morgan Stanley. In a note to investors, they emphasized that GDI could become a crucial indicator for assessing the competitiveness of nations and industries on a global scale.

The Importance of AI Resources

GDI stands out for its focus on artificial intelligence resources, particularly access to sophisticated computing infrastructure. This includes GPUs, networking hardware, and data centers. These elements are essential for supporting the development and deployment of AI technologies, which are increasingly at the heart of modern economies.

Uncontested American Dominance

According to estimates from the research group Epoch AI, the United States possesses about 75% of the world's AI computing power, placing it far ahead of China, which holds around 10%. The European Union, Norway, and Japan follow behind. These figures illustrate American dominance in the field of AI, a position bolstered by the presence of tech giants like Google.

New Data for 2025

Recent data published by Epoch AI, supported by the Coefficient Giving charity of Dustin Moskovitz, provides insight into AI computing capacity by Q4 2025. These estimates are based on AI chips equivalent to Nvidia's H100 GPUs, which measure each chip's capacity to perform operations at its maximum.

Google at the Top of the List

Google stands out as the undisputed leader thanks to its TPUs and a large number of Nvidia GPUs. This dominant position is shared by other major American companies, while China, with AI computing capacity comparable to that of Oracle, remains behind.

Global Ranking of AI Computing Power

  • Google: Global leader
  • United States: 75% of the world's AI computing power
  • China: 10% of the world's AI computing power
  • EU, Norway, and Japan: Behind China

These data underscore the growing importance of GDI as an economic assessment tool, reflecting the rise of artificial intelligence in global competitiveness.

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