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2026 m. sausio 22 d., ketvirtadienis

Larry Fink: China Will Win the AI ​​Race If the West Doesn't Cooperate


“One of the topics discussed at the World Economic Forum in Davos was the development of artificial intelligence technology.

 

– China will win the race in the field of artificial intelligence if Western countries do not cooperate. They have a sufficient population. The privacy laws are, of course, completely different, and the data they can collect gives them a dramatic advantage – said Larry Fink, chairman of the World Economic Forum and also CEO of BlackRock, one of the world's largest asset management companies.

 

During a panel at the World Economic Forum in Davos, he said that there is currently no bubble in the shares of companies dealing with artificial intelligence technology, but there will be "several major failures" in the market. – Instead of worrying about the amount of capital flowing into artificial intelligence, we need to spend more money to ensure that we compete appropriately with China – Fink appealed.

 

He added that the success of AI will depend on its dissemination beyond technology giants and its entry into small and medium-sized companies in all sectors. – If the technology remains the domain of just six hyperscalers, we will fail – said the BlackRock CEO.

 

What does the Nvidia CEO say about AI development?

 

– The world is witnessing the largest infrastructure expansion in history, and the foundations of the artificial intelligence system are developing very quickly. "We're already invested in this to the tune of several hundred billion dollars," said Jensen Huang, CEO of Nvidia, at the World Economic Forum in Davos.

 

He added that trillions of dollars worth of infrastructure still need to be built.

 

Huang described the AI ​​industry as a "five-layer cake"—at the bottom is energy, then chips, cloud infrastructure, AI models, and at the very top, applications as the cherry on top. He stated that every country should build its own AI system, incorporating its own language and culture into the AI ​​models. The tech entrepreneur also sought to allay concerns about the impact of AI on the global job market amidst anxieties about mass layoffs. He reiterated that AI is a tool to augment human work, not replace jobs. As an example, he cited radiologists—according to him, AI will make specialists more efficient, but their roles will not disappear. The widespread use of AI in analyzing radiological images has led to an increased demand for radiologists, not the elimination of their professions, because AI helps them with specific tasks, such as diagnosing diseases, Huang explained.

 

The Nvidia CEO also stated that drug research will shift from traditional laboratories to AI-based platforms, and pharmaceutical giants are already making this leap. He pointed to Eli Lilly, the world's first $1 trillion pharmaceutical company, as an example of what this transformation will look like. "Three years ago, most of their R&D budget, their entire R&D budget, was probably spent on 'wet' labs. Look at the big AI supercomputer they've invested in, the big AI lab." An increasing portion of this R&D budget will be shifted towards AI, Huang said.

 

What could threaten the development of artificial intelligence technology?

 

Lagarde said that large artificial intelligence companies had told her that they would only be able to recoup billions of dollars in investments if they achieved scale and access to as much data as possible. "This will be significantly threatened if we have limited access to data due to different privacy regulations around the world and greater protectionist barriers that prevent these investments from scaling. This is a real threat. The development of AI and the expected increase in productivity are difficult to reconcile with fragmentation in terms of standards, licenses, or access," the ECB head stated during a panel at the World Economic Forum in Davos. She called on countries to cooperate more and said that this would require "people to accept and tolerate different paradigms, different cultural preferences, and different worldviews."”

 

 



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