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Artificial intelligence (AI) has become the defining technology of our time. Governments, companies, and universities are competing to advance faster than the rest. However, what just a few years ago seemed like a clear US leadership is now beginning to show nuances.
The global race for AI has become much more complex. And also more interesting. Every year, the Stanford Institute for Human-Centered Artificial Intelligence publishes one of the most comprehensive reports on the state of AI in the world. According to recent data published by Fortune, the landscape is changing.
China currently leads in the number of scientific publications on artificial intelligence. This data is relevant because it reflects the intensity of research and the development of talent.
Patents and robotics: China's industrial muscle. In the field of patents, China has made a remarkable leap. In 2024, China accounted for approximately 74% of global AI-related patents, compared to 12% for the United States and just 3% for Europe.
Furthermore, China is deploying industrial robots with integrated AI at a much faster pace, reaching figures nearly nine times those of the United States. This approach has a clear logic: to bring artificial intelligence into the physical world, into factories, logistics, and production. It seems that while some are developing software, others are applying it directly to the real economy.
United States: massive investment and leadership in software. Where the United States maintains a clear advantage is in private investment. In the last year, the country has allocated nearly $259 billion to AI, compared to about $12 billion in China. The difference is staggering.
Companies like OpenAI, Google, and Microsoft are leading the development of Language Models (LLM) and intelligent agents. These systems are transforming sectors such as programming, customer service, and content creation. The United States is betting on software, data, and large-scale digital services.
These are two distinct models for understanding AI. What's interesting about this competition is that it's not just about who's ahead, but how they're progressing.
China seems to be focusing on practical applications: robotics, industrial automation, smart cities. Its goal appears to be integrating AI into the economic infrastructure. The United States, for its part, is promoting platforms, foundational models, and global digital ecosystems that can be transferred worldwide.
These are two different strategies: one more oriented toward physical production, and the other more focused on software and services. Both are valid. And both can be complementary… or compete directly.
Europe is notably absent. In this arena, Europe plays a more discreet role. With barely 3% of patents, its technological weight is limited compared to the other two.
Although it excels in AI regulation and ethics, its industrial and investment capacity is lower. This generates a growing technological dependence on the United States and, to a lesser extent, on Asia. Europe's risk is clear: remaining a consumer of technology instead of a producer.
So who leads in AI? The answer is far from simple.
The United States leads in investment, development of advanced models, and digital ecosystems. China leads in research volume, patents, and industrial application. And most importantly: the gap between them is narrowing.
If a country invests twenty times less and obtains comparable results in some areas, it means its approach is efficient, even if different.
The race for artificial intelligence is far from over. In fact, we are probably only in its early stages. In the coming years, we will see which model proves more sustainable: one based on large global platforms, or one focused on massive industrial applications.
Factors such as energy, chips, and regulation will also play a role. What seems clear is that leadership is no longer absolute. It is shared, dynamic, and constantly changing.
And that, in an increasingly technological world, changes everything.
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