Kai-fu Lee: Artificial intelligence is the largest field in human history

Artificial intelligence has been overwhelmed by capital for several years, but in the eyes of artificial intelligence, such entrepreneurial enthusiasm is far from enough to accommodate the tremendous changes that artificial intelligence can bring.

“Artificial intelligence is the largest area in human history. We just pick a driverless, this field is just like the mobile Internet.” On January 10th, we announced the establishment of an engineering institute focused on artificial intelligence in the innovation workshop. Time – This engineering institute will focus on cultivating talents in artificial intelligence, while providing data and commercial support to entrepreneurs of artificial intelligence – Li Kaifu, CEO of Innovation Workshop, made such a statement.

Kai-fu Lee predicts that 50% of occupations will be replaced by artificial intelligence, and he believes that the changes brought about by artificial intelligence will first occur in the fields of finance and medical care. In 2016, the RMB and US dollar funds raised by innovative workplaces totaled more than RMB 8 billion. This part of the funds will also be mainly invested in three areas of artificial intelligence, entertainment and education.

Pay attention to the new topic of economic structure change brought by artificial intelligence

Although the universal application of artificial intelligence has not yet appeared, Wang Qigang and Wang Jiaping, two deputy deans of the Innovation Workshop Artificial Intelligence Engineering Institute, have shown that the possible impact of artificial intelligence on the economic structure has become an "interest topic."

In Wang Qigang's view, AI (Artificial Intelligence) has not yet brought about a particularly significant structural change, and it is still in a certain amount of accumulation in individual industries, but in some areas where there are few "frictions", such as finance and medical care, this A structural change will soon appear.

Wang Jiaping provided an example. For example, the labor cost determines that some factories are in the US-China-Southeast Asia. However, this is not a judgment that can be influenced by factors such as AI. If you consider the AI ​​factor, it is very likely that there will be different situations.

Wang Jiaping went to Foxconn's factory in Shenzhen in the past 9 years. The number of employees in the field has been reduced from 300,000 to 100,000. A large part of it is the role of automation including AI application. "What is particularly shocking to me is that Many Foxconn robots, their own robot workshop design and manufacture, that is to say, Foxconn itself is responsible for such a process of using AI to transform its production structure, and that volume is slowly accumulating," Wang Jiaping said.

Artificial intelligence talent gap is huge

A good prediction of the future of artificial intelligence is bringing about some changes in the talent structure.

Beginning in 2003, Zhu Xiaoyan, director of the Department of Computer Science and Technology at Tsinghua University, opened an artificial intelligence network course that was very full at the beginning. Later, the number of people gradually decreased and they returned to full status in the last two years. The department in which Zhu Xiaoyan is located has also opened a number of courses related to big data and artificial intelligence in recent years.

On January 10th, the Innovation Workshop released the White Paper on Artificial Workshop Artificial Intelligence. In this white paper, artificial intelligence was proposed, “the talent gap is huge, and the talent structure is unbalanced”.

According to the white paper, according to Linkedin statistics, there are currently about 250,000 artificial intelligence professionals in the world, of which about one-third of the United States. This level of talent reserves is far from being able to meet the needs of the vertical sector and consumption in the next few years. Macro demand for rapid and steady growth in the market. At the same time, the proportion of high-end talents, backbone talents and basic talents is far from optimal.

This is one of the reasons why the Innovation Workshop established the Artificial Intelligence Engineering Institute. Li Kaifu said that the scientists in the field of artificial intelligence have a strong technical level, but their experience in business cognition, product mining, and industrialization implementation is insufficient, and they lack the upfront capital. And what the Innovation Workshop Artificial Intelligence Engineering Institute is doing is helping them to make up for these shortcomings, such as buying it, taking data, providing business awareness, recruiting engineers, and so on.

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