Forget Specialization: Why Generalists Will Win the AI Era

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Chey Tae-won, chairman of SK Group and the Korea Chamber of Commerce and Industry, argued that in the AI era adaptability and the ability to connect different domains will matter more than narrow specialization. As AI takes over a significant share of knowledge work, distinctively human capacities — reasoning, empathy and adaptability — will emerge as new sources of competitive advantage.

On May 28, Chey appeared on KBS1TV’s documentary Docu Insight — \”Talent Wars 2: Chey Tae-won’s Answer.\” He warned that the performance gap between people who actively embrace AI and those who do not could widen substantially. He said that not only individuals but also companies and states face increasing polarization depending on how quickly and effectively they adopt AI.

He characterized the current period as a transition from \”reasoning\” AI, which answers human questions, to \”agentic\” AI, which can judge and act autonomously. He suggested that over the long term, the emergence of artificial general intelligence (AGI) might actually narrow knowledge and productivity disparities among people.

In this context, Chey said generalists — people who move across fields and serve as bridges between humans and AI — will become more important than specialists focused on a single domain.

He emphasized that in the future how people use and integrate AI will be more important than their job titles.

He identified four core capabilities individuals should cultivate in the AI era: the thinking muscle, the adaptability muscle, the empathy muscle and body skills — the so‑called \”four muscles.\”

Chey noted that the ability to acquire facts quickly and perform well on tests can be substantially replaced by AI. What will matter is the capacity to ask why, to probe the essence of problems and to think independently.

He added that because the pace of change will be rapid, resilience — the ability to recover after failure and choose new paths — will be essential, underscoring the need for adaptability.

He also argued that empathy and the value generated through physical activities such as music, visual arts and sports are areas AI will struggle to replicate.

As a national strategy to boost AI competitiveness, Chey proposed a \”3S\” framework: Speed, Scale and Safety. He said the country must accelerate technological advancement, secure economies of scale through large infrastructure investments, and establish social and institutional foundations that enable safe use of AI.

He also advocated for building AI production bases (\”AI Factory\”), ensuring broad access to AI (\”AI for All\”), and creating experimental zones for new technologies and policies (\”AI City\”).

After his lecture, Chey responded to audience questions in person and shared his thoughts on career guidance and education in the AI era.

He said the issue is not that society’s view of medical careers is wrong, but that schools and institutions need to do a better job explaining and promoting engineering and science as attractive, valuable options.

Finally, Chey stressed that AI talent is not limited to engineering students. He urged rapid reform of education and social systems so future generations can use and coexist with AI naturally.

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