At the 2018 World Economic Forum, Kaifu Lee, Chairman of Innovations Workshop and CEO, discussed the security challenges posed by AI. He highlighted a key difference in approaches between China, Europe, and the United States: China prioritizes rapid product deployment, with adjustments made along the way, while the U.S. and Europe tend to focus on addressing potential risks first before moving forward. This divergence in strategy will shape each country’s AI policies in the future.
Lee emphasized that as AI begins to replace human tasks, it's not just about economic impacts but also about how people find meaning and purpose in their lives. The challenge lies not only in income loss but also in redefining self-fulfillment. Retraining programs and social support systems must be developed to help those affected. Social welfare should not mean simply giving money, but rather offering opportunities for individuals to learn new skills and transition into roles that AI cannot easily replace.
He identified four areas where AI struggles to take over: manual work, creativity, caregiving, and complex strategic thinking. These are the domains where humans still hold an advantage. Education systems should focus on nurturing these strengths from an early age. While it may be difficult to train someone to be a creative genius or a top executive, there is still significant potential in developing skilled professionals who can outperform machines in specific trades—like plumbers, aircraft mechanics, and other hands-on roles.
Caregiving jobs, such as working in nursing homes, hospitals, or supporting the elderly, have both economic value and social importance. They are trainable, essential, and deeply human. These roles provide a sense of fulfillment that goes beyond financial gain. For instance, a former truck driver could be retrained to assist the elderly, helping them with daily activities. This kind of work fosters human connection and emotional satisfaction, which may even surpass the fulfillment found in traditional jobs.
Lee acknowledged that retraining and adapting to new roles is a tough process. People often resist change and may feel discouraged. Governments, institutions, and companies must play a key role in facilitating this transition. He suggested that initiatives like “Double Innovation†should not only focus on building tech startups or creating the next BAT (Baidu, Alibaba, Tencent), but also support social enterprises and venture capital models that prioritize job creation and societal value.
While profitability is important for businesses, some of these companies may not become unicorns. However, they can still grow sustainably by creating jobs—say, 100 this year, 500 next, and 1,000 in the following year. These roles are trainable and necessary. If governments offer subsidies and new VCs invest in socially responsible ventures, it could create a powerful shift toward meaningful employment.
In conclusion, the debate around AI security varies across regions, with China favoring speed and adjustment, while the West emphasizes caution and risk assessment. These differences will shape global AI regulations and strategies. As we move forward, it's crucial to think ahead about how to support people through this transformation, ensuring that no one is left behind in the age of artificial intelligence.
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