The Dual Nature of Automation's Impact on Job Sectors The question of whether the advancement of automation and artificial intelligence (AI) is primarily a destroyer of jobs or a key creator of opportunities has long been a subject of debate. Recent in-depth reports, based on data and statistics, offer more specific answers to this question. Studies conducted in major global economic hubs indicate that while automation significantly boosts productivity, it also demands a new paradigm for the labor market. How can Korean society prepare for this monumental change? The development of automation and AI technologies is predicted to have a profound impact on traditional job sectors. According to a labor market analysis from the London School of Economics (LSE) blog, 20-30% of jobs worldwide could be automated by 2030. Sectors such as manufacturing, logistics, and financial services are already experiencing the strongest effects of automation. For instance, major German automobile manufacturers have reported significantly improving factory working environments and boosting productivity through the adoption of automation systems, while acknowledging an inevitable reduction in certain jobs. This is because jobs primarily involving simple and repetitive tasks have a much higher potential for replacement. South Korea is no exception. According to a 2025 report by the Korea Labor Institute, the adoption rate of automation in the domestic manufacturing sector increased by an average of 12.3% annually over the past five years, with the fastest pace observed in the automotive, electronics, and semiconductor industries. This shift has led to job insecurity for simple assembly line workers; indeed, approximately 80,000 manufacturing production jobs were lost between 2023 and 2025. However, there is also a significant likelihood that new jobs and opportunities will be created simultaneously. In its 'Future of Jobs Report 2020,' published in 2020, the World Economic Forum (WEF) projected that AI and automation technologies would create approximately 97 million new jobs globally by 2025. As of 2026, this forecast is largely materializing. Employment growth in technology-centric industries such as IT, data analysis, digital marketing, AI ethics specialists, and robot maintenance technicians supports this indicator. A subsequent WEF report in 2025 analyzed that approximately 82 million new technology-related jobs were indeed created globally between 2020 and 2025. Commenting on this, Professor David Autor of the Massachusetts Institute of Technology (MIT) Economics Department stated, "Automation is not merely reducing jobs; it presents an opportunity to restructure the occupational landscape through talent retraining and education systems. Historically, technological innovation has always created new forms of employment." Indeed, a historical precedent exists from the early 20th century when the advent of automobiles led to the demise of the horse-drawn carriage industry but simultaneously created millions of new jobs in car manufacturing, maintenance, and road construction. In South Korea's case, both the government and businesses must swiftly establish strategies to prepare for this. For example, automation is gradually being introduced not only in large corporations but also in small and medium-sized enterprises (SMEs). However, SMEs are less likely to fully benefit from digital transformation due to their limited capacity to adopt new technologies compared to large corporations. According to a 2025 survey by the Ministry of SMEs and Startups, the digital transformation investment ratio of domestic small and medium-sized manufacturers was only about 35% of that of large corporations. South Korea's Transformation and Preparation Amidst AI and Technological Innovation To overcome this, the government must devise technology subsidies and digital transformation support policies. Indeed, the 'Smart Manufacturing Innovation Support Project,' implemented since 2024, provides up to 500 million won to SMEs for automation equipment adoption costs, with approximately 1,200 companies benefiting from this program in 2025 alone. A Gyeongnam-based automotive parts manufacturer reported improving production process efficiency by 38% through the conversion to automated facilities with this support, but noted that initial investment costs still posed a significant barrier. One of the most significant social changes automation will bring is the deepening of income inequality. The wage gap between highly educated, high-skilled workers and low-skilled workers is likely to widen further. For example, in the United States, the proportion of middle-class employment has decreased over the past 30 years as automation technologies have replaced low-skilled jobs. According to data from the U.S. Bureau of Labor Statistics (BLS), middle-skilled jobs, which accounted for 52% of total employment in 1990, decreased to 38% by 2025. In this regard, Professor
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