Kai-Fu Lee on how covid spurs China’s great robotic leap forward

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Kai-Fu Lee on how covid spurs China’s great robotic leap forward
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Former executive at Google and Microsoft kaifulee argues that China will be the economy that drives automation, AI and robotics deep into businesses and industries

DURING THE SARS crisis almost 20 years ago, shops in Beijing were completely closed. It forced one retailer, Jingdong Century Trading Co, to try its luck online. That retailer was JD.com, today one of China’s e-commerce giants. Fast forward to 2020. Amid the covid-19 crisis, JD.com managed a 20% spike in sales with the help of a new, automated warehouse that can process more than 1.5m orders a day. In Wuhan, it delivered packages using robots and drones.

Historically, automation tends to happen when economic difficulties coincide with maturing technologies. Companies feel they need to cut costs by slashing jobs and trying out new technologies. And once a company has replaced an employee with a robot and proven its efficacy, it is unlikely to go back. Robots don’t get sick. They don’t strike. They don’t demand higher wages for dangerous jobs.

Recently, when I was in quarantine at home in Beijing, all of my e-commerce packages and food were delivered by a robot in my apartment complex. The item would be placed on a sturdy, wheeled creature resembling R2D2. It could wirelessly summon the elevator, navigate autonomously to my door and then call my phone to announce its arrival. I could then take the delivery and the bot would return to reception.

I’ve seen these trends develop as a technology investor in China—and had a front-row seat during lockdown. Zhuiyi Technology, a company in our portfolio, develops software for call-centre automation. During the pandemic, the credit-card department of a large Chinese bank used the system to call its customers, managing 350,000 calls a day, or the equivalent of 1,200 human customer-service representatives.

Many sectors will be reimagined in the form of human-digital symbiosis. In education, for example, AI will become the tutor and always-on instructor, while the human is the wise mentor and motivator. In healthcare, AI will be the accurate, targeted diagnosis engine that assists the human doctor, who communicates with patients and makes final decisions.

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