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 believe artificial intelligence (AI) will soon replace a significant number of jobs currently performed by humans. While this trend is already visible in some industries, experts predict a major surge in intelligent automation over the next decade. Kai-Fu Lee, former president of Google China, argues that the shift of human work to smart machines will occur even faster than most people anticipate.
Recently, during an appearance on CNBC’s “Squawk Box†program, Lee stated that half of all human jobs could be taken over by AI within the next 10 years—a disruption faster than any seen before. He emphasized that AI will impact both blue-collar and white-collar roles. Currently, Lee serves as chairman and CEO of Sinovation Ventures.
Lee also pointed out that AI is more likely to first take over white-collar jobs, which contradicts some common assumptions. He explained that these roles often involve repetitive, data-driven tasks that software can easily handle. Examples include reporters, traders, telemarketers, customer service representatives, and analysts. In contrast, blue-collar jobs often require physical coordination, which current machines are still not fully capable of handling.
Pierre Barreau, CEO of AIVA Technologies, echoed Lee’s views in an email. He said that while white-collar jobs may only need software advancements, blue-collar roles require breakthroughs in both hardware and robotics. Luke Tang, general manager of TechCode, added that AI has already begun replacing humans in areas like report analysis and legal discovery. He predicted that AI will soon take over more jobs, such as truck driving and investment management.
Another key point discussed by Lee and CNBC was the idea of Universal Basic Income (UBI) as a solution to job displacement caused by automation. However, Lee warned that optimists may be too hopeful about UBI as a catalyst for career reinvention. While he acknowledged that UBI can help in some cases, it isn’t effective in addressing broader economic instability. Recent UBI trials have shown that it doesn’t strongly encourage people to seek employment.
Many experts, including World Bank President Jim Yong Kim, suggest that education and retraining are better long-term solutions. Kim believes investing in people is crucial to addressing the challenges of job replacement due to automation. Barreau agreed, stating that one of the biggest challenges is ensuring that education systems evolve to meet the demands of new jobs. He noted that in the 1980s, expectations for personal computers were low, but eventually, the system adapted. This kind of transformation, he believes, will be necessary in the coming years as AI reshapes the workforce.
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