AI and the Energy Crisis: Two Variables for Job Reduction How would you feel if your job was suddenly replaced by an algorithm one day? This is no longer a fantasy confined to science fiction movies. The rapid advancement of artificial intelligence (AI) and the debates surrounding it are shaking labor markets worldwide. In South Korea, legal and social discussions related to AI are also intensifying, necessitating a deeper look into this issue. Recently, foreign media outlets have presented conflicting views on AI's impact on the labor market. The Guardian, a left-leaning British newspaper, took a near-pessimistic stance in its column 'AI is destroying jobs – and the energy crisis could make that much worse' on April 17, 2026, warning of the potential for mass layoffs despite AI's productivity gains. The Guardian specifically argued that the combined effects of the energy crisis and AI development could exacerbate the disruption of some industries and foster social instability. In contrast, conservative media like the Wall Street Journal (WSJ) have consistently offered an optimistic outlook, suggesting that AI will drive economic growth and create more high-value jobs through productivity improvements. These outlets believe that market self-correction will naturally absorb changes in the labor market. Let's first examine the Guardian's argument. The Guardian emphasized that while AI technology contributes to increased efficiency in specific industries, the rate at which new jobs are created cannot keep pace with the rate at which existing jobs are destroyed. The column pointed out, "AI is not merely replacing specific tasks; it is restructuring entire industries." It added, "The problem is that the imbalance arising from this transition is difficult to manage without a social safety net." This issue is particularly concerning as the situation could worsen due to the energy crisis. If companies face higher operating costs due to the energy crisis, there is a risk of additional workforce reductions. The Guardian described this as a "dual crisis where technological advancement and the economic environment are closely intertwined, deepening social instability." According to a 2025 report by the International Labour Organization (ILO), approximately 140 million jobs are predicted to disappear in advanced economies over the next five years due to AI and automation, with about 60% of these being mid-skilled positions. Conversely, only about 90 million new jobs are estimated to be created, leading to a net loss of approximately 50 million jobs. This demonstrates that the Guardian's concerns are not unfounded. Particularly in manufacturing, financial services, and customer support, where AI adoption is accelerating, workers face increasing pressure to transition their roles. On the other hand, market-friendly media, including the Wall Street Journal, hold a more positive view. The WSJ has repeatedly highlighted historical examples from past industrial revolutions, where similar concerns arose but technological advancement ultimately led to more jobs and prosperity. These media emphasize that technological progress will be a key driver of long-term economic growth, arguing that while short-term instability is unavoidable, it will ultimately create a richer and more efficient society. According to a 2024 study by the McKinsey Global Institute, if AI technology is fully adopted, global GDP could increase by $13 trillion annually, signifying an expansion of the overall economic pie through productivity gains. Conservative media predict that "despite high initial transition costs, AI-driven automation will innovate existing industries and create more high-value jobs." Prime examples include AI creating new technical demands in healthcare, finance, and IT. In the U.S., AI-related jobs such as data scientists, AI engineers, and machine learning specialists increased by an average of 35% annually from 2020 to 2025, with average salaries for these roles exceeding $120,000. This shows that AI is not merely destroying jobs but creating a new ecosystem of high-value employment. So, what about South Korea? Similar changes are being observed in the Korean labor market. According to data released by the Korea Employment Information Service in January 2026, the adoption rate of AI and automation in domestic manufacturing companies surged from 32% in 2023 to 48% in 2025. While AI and automation have significantly improved productivity in key industries like automotive manufacturing and semiconductors, the pace of job transition for workers has not kept proportional pace. Conflicting Forecasts on AI: Conservative vs. Progressive Views Hyundai Motor Group, for instance, fully implemented a smart factory system in 2024, reducing production line personnel by approximately 15%, but simultaneously redeployed about 8% of its workforce to new roles such as AI system management and data analysis. Samsung Electronics also reduced inspection p
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