The Possibility of AI Threatening Jobs Just a few years ago, the main question was, 'Can artificial intelligence (AI) be a friend to humanity?' Today, however, the question has shifted: 'Will AI take our jobs?' While consumers and businesses are now enjoying the benefits of innovative technology with the rise of Generative AI, it's true that tension is palpable across various sectors of the labor market. This is because predictions that even jobs requiring creativity and analytical skills are not immune to AI's influence are becoming a reality. In its December 2025 report, 'The Labor Market Impact of Generative AI,' MIT Technology Review conducted an in-depth, data-driven analysis of how generative AI technology affects the labor market. The Economist also quantitatively examined AI's impact on job productivity and wage structures in its January 2026 special feature, 'The AI Productivity Paradox.' According to both reports, generative AI is expected to have a significant impact not only on simple, repetitive tasks but also on highly specialized white-collar professions. The MIT report, in particular, provides specific figures. In content creation, approximately 35% of tasks are predicted to be replaced or augmented by AI by 2027, while in software development, 40% of code generation and debugging tasks are expected to be assisted by AI. The customer service sector anticipates even more rapid changes, with analysis suggesting that about 60% of basic customer interactions will transition to AI chatbots. South Korea is no exception. According to a 2025 survey by the Korea Employment Information Service, 42% of domestic advertising agencies have already adopted AI copywriting tools, and major media outlets are increasingly using AI for drafting news articles. So, what changes is generative AI actually bringing to the labor market? First, there's a rapid increase in productivity. The Economist's report presents data showing that companies actively utilizing AI tools have seen an average 25-30% improvement in productivity per job. AI is gaining attention not merely as a tool to do more work faster, but also as one that can enhance the quality of human tasks. Professor Erik Brynjolfsson, an economist at Stanford University, contributed to the MIT report, analyzing that 'generative AI can simultaneously amplify the capabilities of skilled workers and have a leveling effect, helping novices produce expert-level results.' For instance, in advertising copywriting, AI tools can save existing workers' time and contribute to suggesting more innovative ideas. Indeed, an experiment conducted by a U.S. advertising agency showed that copywriters using AI tools generated an average of three times more drafts in the same amount of time, and client satisfaction increased by 15%. However, at the same time, many employers are tempted to use this technology to reduce labor costs. According to an Economist survey, 23% of companies that have adopted AI reported plans to reduce their workforce in related job categories by more than 10% within the next two years. Secondly, job restructuring is accelerating. The MIT report revealed that AI's accuracy in legal document analysis has already reached 92%, on par with that of junior lawyers. In translation, Neural Machine Translation (NMT) technology has narrowed the quality gap with professional translators to within 5%, and in medical imaging diagnosis assistance, the detection rate for specific diseases has reached a level equivalent to or even higher than that of radiologists. In South Korea, legal AI startups are already offering contract review services, and major medical institutions like Seoul National University Hospital and Samsung Medical Center are piloting AI-powered diagnostic assistance systems. Will Wage Gaps and Social Inequality Widen? This is causing job insecurity among legal clerks and junior medical professionals. According to a 2025 survey by the Korean Bar Association, 68% of lawyers with less than five years of experience reported experiencing a reduction in workload due to AI. While some might argue this is legitimate technological progress, it's difficult to rationalize job displacement caused by technology simply under the guise of progress. Concerns are also being raised that if learning and growth opportunities in the early stages of a career are replaced by AI, it could become difficult to cultivate skilled professionals in the long run. Thirdly, the adoption of generative AI is highly likely to widen the wage gap between skilled and unskilled workers. The Economist's report provides specific figures. An analysis of the U.S. labor market from 2023 to 2025 showed that the real wages of the top 25% of workers with high AI proficiency increased by an average of 12%, while the wages of the bottom 25% with low AI utilization decreased by 2%. Professor Carl Benedikt Frey, an economist at Oxford University in the UK, warned in an Economist article that 'AI accelerate
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