Kai-fu Lee: White-collar workers are more dangerous than blue-collar workers in the face of robots.
Original Title: Former Google China President: AI's Job Takeover Will Happen Sooner Than Expected
On November 15, Netease Technology News reported that according to Futurism, many experts believe artificial intelligence (AI) will soon replace a large number of jobs currently performed by humans. In certain industries, this shift has already begun, and some predict a significant rise in intelligent automation over the next decade. Kai-Fu Lee, former president of Google China, believes that AI will take over human jobs much sooner than most people anticipate.
During a recent appearance on CNBC’s “Squawk Box†program, Lee stated that half of all human jobs could be replaced by AI within the next 10 years. He called this the fastest disruption in history, noting that both blue-collar and white-collar jobs are at risk. Currently, Lee is the chairman and CEO of Sinovation Ventures.
Lee also pointed out that AI is likely to first target white-collar roles, which contradicts some common predictions. He explained that white-collar jobs often involve repetitive, data-driven tasks—such as those of reporters, traders, telemarketers, customer service representatives, and analysts—that can be easily automated with software. On the other hand, blue-collar jobs typically require physical coordination, which machines are still not fully capable of handling.
Pierre Barreau, CEO of AIVA Technologies, echoed Lee’s views in an email. He said, “Blue-collar work requires major advancements in both software and hardware or robotics, while many white-collar jobs may only need improvements in software.†Luke Tang, general manager of TechCode, added in an email to Futurism: “AI has already taken over certain roles, like report analysis and legal discovery. Soon, it will also replace jobs such as truck drivers and investment managers.â€
Another idea discussed by Lee and CNBC was the use of Universal Basic Income (UBI) to address job losses caused by automation. However, Lee warned that “optimists mistakenly believe UBI will serve as a catalyst for career reinvention.†While he acknowledged that UBI can help in some cases, he noted it is not effective in addressing broader economic instability. Recent UBI experiments have shown that it doesn’t strongly encourage people to return to work.
Many experts, including World Bank President Jim Yong Kim, have instead suggested education and retraining as solutions. Kim argues that we must invest in people to adapt to the changing job market. Barreau also agreed, stating, “One of the biggest challenges of automation is ensuring our education systems keep up with new job demands. In the 1980s, no one expected personal computers to change everything—but that’s exactly what happened.â€
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