At the 2018 World Economic Forum, Kaifu Lee, Chairman of Innovations Workshop and former CEO, discussed the security risks associated with artificial intelligence. He highlighted a fundamental difference in perspectives between China, Europe, and the United States. While China tends to prioritize rapid product deployment and subsequent adjustments, European and American approaches emphasize thorough discussion of potential issues before moving forward. This divergence in mindset will inevitably shape each country's AI policies.
As AI begins to replace human tasks, the question arises: what happens to people when most jobs are automated? Lee emphasized that the challenge is not just about income loss but also about the impact on personal fulfillment. It’s essential to retrain affected individuals and rethink social welfare systems. Social support shouldn’t mean giving money to everyone, but rather helping those who are willing to learn find roles that AI cannot easily replace.
Lee identified four areas where AI struggles to compete: manual skills, creativity, caregiving, and complex strategic thinking. From an educational standpoint, while it may be hard to train highly creative scientists or top executives, there are still many opportunities for skilled workers—such as plumbers, aircraft technicians, and other hands-on professionals—who can remain in demand for years.
Caregiving and service industries, like nursing home volunteers, hospital staff, or massage therapists, offer both economic value and social importance. These jobs are trainable, meaningful, and centered around helping others. The emotional satisfaction from aiding people can be more rewarding than traditional roles, such as truck driving.
For instance, a truck driver could be retrained to assist the elderly—helping them stand, bathe, or simply chat. Over time, this new role might bring greater personal fulfillment. Human connections matter, and true empathy can lead to a deeper sense of self-worth.
Lee acknowledged that retraining and adapting to new roles is challenging. People often resist change and may feel discouraged. Governments, institutions, and companies must play a key role in facilitating this transition. He mentioned the concept of “Double Innovation,†which traditionally focused on tech startups and building the next generation of giants like BAT. However, he suggested that we should also support social enterprises and venture capital models that aim to create sustainable employment opportunities.
These companies may not become unicorns, but they can provide real jobs and grow steadily. For example, a company might start by creating 100 jobs, then 500, and eventually 1,000. Such growth is possible if these businesses prove profitability and scalability. With government support and socially conscious investors, these ventures can make a meaningful impact.
In conclusion, while AI brings immense potential, it also poses significant challenges. Addressing these requires a balanced approach that considers both technological progress and human well-being. As Lee pointed out, the debate over AI regulation differs across regions, and these differences will shape future policies. It’s time to think ahead and build a future where technology serves humanity, not replaces it.
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