高盛集团的分析师团队在最新研究报告中警告，人工智能（AI）技术的快速发展将对全球劳动力市场产生深远影响，预计全球多达3亿个全职工作岗位可能面临“自动化”挑战。Jan Hatzius领导的分析师团队指出，生成式AI作为AI的一个重要分支，如果其潜力得到充分释放，可能会取代美国四分之一的工作岗位，而美国目前有三分之二的工作在某种程度上受到AI自动化的影响。
尽管这一前景引发了对就业安全的担忧，但高盛同时强调，AI带来的变革并非全然负面。报告指出，尽管AI可能会替代部分岗位，但它也将催生新的工作机会和行业，这将在长期内成为就业增长的新动力。高盛认为，历史经验表明，技术进步往往会在消除某些岗位的同时，创造出更多新的、需要人类独特技能的岗位。
这一观点与许多经济学家的共识相吻合，即技术进步虽然短期内可能导致就业结构的调整和局部失业，但长期来看，它能提高生产效率，促进经济增长，并最终创造新的就业领域。因此，对于政策制定者和劳动者来说，适应这一变革，提升自身的技能和知识，将是应对AI自动化挑战的关键。
英语如下：
News Title: “Goldman Sachs Warns: Generative AI Set to Reshape Labor Market, 300 Million Jobs at Risk from Automation”
Keywords: AI Automation, Job Disruption, Employment Growth
News Content: In its latest research report, analysts at Goldman Sachs Group have cautioned that the rapid advancement of artificial intelligence (AI) technology will have profound implications on the global labor market, potentially impacting up to 300 million full-time jobs worldwide with the threat of “automation.” The team, led by Jan Hatzius, points out that generative AI, a significant subset of AI, if fully harnessed, could replace a quarter of jobs in the United States, where two-thirds of current roles are, to some extent, affected by AI automation.
While this forecast raises concerns about job security, Goldman Sachs also emphasizes that the changes brought about by AI are not entirely negative. The report suggests that although AI might supplant certain positions, it will also create new job opportunities and industries, acting as a long-term driver of employment growth. The bank draws from historical evidence that technological progress often eliminates certain jobs while generating more positions that require unique human skills.
This perspective aligns with the consensus among many economists that while technological advancements may lead to short-term job结构调整和局部失业，in the long run, they enhance productivity, stimulate economic growth, and ultimately create new areas of employment. Consequently, for policymakers and workers alike, adapting to this transformation and upskilling themselves will be crucial in tackling the challenges posed by AI automation.
【来源】https://wallstreetcn.com/articles/3711779
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