Kai-fu Lee: Chinese core has a long way to go | but AI surpasses the United States in only 5 years

Yesterday, Foxconn held the Summit on the Integration of Real Economy and Digital Economy in Shenzhen and celebrated the 30th birthday of Foxconn. Kaikai Li, chairman and CEO of Innovation Workshop, shared the theme at the AI-Integrated Development of Industrial Internet and Consumer Internet. He first talked about the gaps and differences between China and the United States in the field of artificial intelligence. Li Kaifu expressed disagreement with many experts who believe that the United States leads the point of view. Actually, China is absolutely leading in many areas. We have a good foundation, and we have a full range of artificial intelligence. It only takes five years to go beyond the United States, but he added that we still have a long way to go in terms of chips.

In Kai-Fu Lee's view, the development of China and the United States is a parallel universe. American companies are most approving of breakthrough innovations made by Jobs or Musk, but China is more likely to be able to run faster and faster. The ideas of others blend with our ideas.

The specific performance is that the United States pays more attention to technology, and China pays more attention to the connection between applications and products. In particular, it can develop new business models under a large number of users. Many American companies are mission-oriented, if their mission is not Related to the absolute reluctance to do, but China's entrepreneurial model is more result-oriented, so many companies are moving towards diversified development, the United States is the lighter the better, Instagram's 11 people team sold 1 billion US dollars to Facebook .

When talking about the future development of artificial intelligence, Li Kaifu pointed out that now that AI is sufficiently popular, it is not necessary to look at the giants of the world to do AI. There are two stages in the development phase of AI. Anyone who knows AI is a cow, but today AI is popular enough to become application-oriented, so we must understand customers, understand business, understand verticals, and understand how to make money. This is the king, summing up one sentence: Past experts As a king, now the data is king.