Kai-Fu Lee’s perspectives on two global leaders in
artificial intelligence: China and the United States
Kai-Fu
Lee shares his perspectives on developing and adopting artificial intelligence
in China and the United States with McKinsey Global Institute partner Michael
Chui.
Artificial intelligence (AI) is advancing at
a breakneck speed, with two major players emerging: China and the United
States. Each country has very different strategies, backgrounds, advantages,
and disadvantages.
Kai-Fu Lee has a unique view of AI development
in China, in his present roles as chairman and CEO of Sinovation
Ventures and president of Sinovation Venture’s Artificial Intelligence
Institute and from his extensive background in the topic in former leadership
roles at Microsoft Research China and Google Greater China. Michael Chui, a
partner of the McKinsey Global
Institute (MGI), spoke with Kai-Fu Lee to understand his perspectives
on AI in two of the leading global markets.
Interview
transcript
Michael Chui: What are
China’s advantages in developing and adopting artificial intelligence?
Kai-Fu Lee: China has
several things going for it. It has a large amount of data, not only in mobile
users but also the amount of
mobile payments, the amount of transactions, the amount of data that’s
being captured. The fact that most users are willing to trade off some degree
of privacy for convenience makes the data acquisition even easier. And on top
of that, it’s a bigger market.
Second, the Chinese entrepreneurial system is an
advantage for China. AI companies are moving very quickly into new spaces.
A third big factor is the government support. At a local
level, cities give subsidies to AI companies that move there, they have venture
capitalists that invest in AI, and they have smart people move to these cities,
including overseas-returning experts. Another aspect is that the Chinese
government has always been techno-utilitarian, which means when it comes to new
technology, it thinks, “Let’s get the technology out there. And of course,
there will be issues that come up, and let’s course correct as they come up.”
As opposed to the Western countries, which tend to want
to debate and resolve issues that may relate to privacy, security, bias, and
explainable AI. When there are jobs being affected, the truckers’ union will
appeal to the president, asking to slow down the adoption. Whereas, in China,
it’s full speed ahead with AI.
Michael Chui: What
advantages does the US have in developing and adopting AI?
Kai-Fu Lee: The US
advantage is quite significant around research leadership, particularly around
the education system. The US education system draws talent from throughout the
world, and, especially in graduate levels, it’s incomparable anywhere and way
ahead of China and other countries.
As long as American universities continue to be
supported and attract talent, and to the extent that American visas are granted
to graduates rather than having them go back to their countries, including
China, that’s an advantage that’s very hard for any country to replicate in
less than 30 or 40 years.
Michael Chui: How do you
see the AI field developing in these two markets?
Kai-Fu Lee: AI has multiple
types of applications. Clearly in internet AI, the US has a leadership
position. But the Chinese companies with more data are catching up.
With business AI, using data at banks, insurance
companies, hospitals and so on, there are certain cases where
Chinese companies may be moving forward due to accessibility of data, such as
in healthcare. But in most spaces, the data in China is not yet fully
digitized, structured, or warehoused. The US has substantial leadership
overall, probably for five years or longer.
Then there’s perception AI, which involves using cameras
and sensors everywhere to capture faces, motion, people, and objects to derive
value. For example, recognizing returning customers at a shop or counting
attendance at a school. These are things that affect privacy. And I think Americans
will tend to be cautious about widely adopting it, but Chinese citizens would
tend to be more willing to trade some privacy in return for convenience, and
certainly for security. I think China will lead there.
“
I envision the autonomous vehicle to eventually make everything affordable.”
Last, there’s autonomous AI, which is AI that moves:
industrial robots, commercial robots, home robots, and autonomous vehicles.
This is a particularly impactful area, because I envision the autonomous
vehicle to eventually make everything affordable. It will
reduce the costs of chips, semiconductors, and sensors, and that will have a
domino effect in making industrial commercial robots more viable and less
expensive—essentially becoming the operating system of the future.
Who will win this biggest one? I think it’s 50-50. This
is very technology-rich area. The US clearly leads in technology. But Chinese
policies are accelerating the launch adoption of things like autonomous trucks
and will not be slowed down by a trucker-union appeal or lobby. And with AI,
the faster you launch, the faster you collect data, and the faster you use the
data to improve your algorithm, the more you’ll catch up. It’s a game where the
US clearly leads China, but China is moving at a faster trajectory. And I place
it at a 50-50 for that area.
https://www.mckinsey.com/featured-insights/artificial-intelligence/kai-fu-lees-perspectives-on-two-global-leaders-in-artificial-intelligence-china-and-the-united-states?cid=other-eml-shl-mip-mck-oth-1807&hlkid=18bbba15fce149ac803c0c7ec1a63dc4&hctky=1627601&hdpid=43db8faf-c0d4-44db-9681-67e05ed76247
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