人工智能、自动化和新工作

Jaures Badet
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引用次数: 5

摘要

我们的研究分析了自动化给工作带来的好处。我们的框架的主要新特点是,除了部分工作被自动化取代之外,它还导致创建现有任务的新的,更复杂的版本,从而导致就业需求。我们更关注最基本的因素,即利用这些新工作的技能程度。我们根据与自动化和工作相关的信息进行研究。此外,通过使用最终良好模型的输出,我们表明,创造劳动力具有比较优势的新任务是自动化的积极方面之一。我们发现自动化将创造新的工作(智能工作),并消除重复性工作,这些工作将在未来被机器取代。然而,这些新工作需要高技能。因此,教育的水平和质量将在自动化产生的新工作岗位中发挥重要作用。工人和未来的学生必须做好准备,将他们的培训更多地集中在新技术所需的技能上。自动化可能会让我们为未来做好准备,在未来,低技能的工人将被迫改变职业或失去他们的职业,而这些职业将完全被机器占据。我们还发现,工作岗位的流失取决于每个国家自动化的速度。基于各国的经济结构、新技术投资政策和教育水平,有些国家的自动化传播速度较慢,有些国家的自动化传播速度较快。因此,自动化程度高的国家比自动化程度中低的国家面临的风险更大。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
AI, Automation and New Jobs
Our study analyzes the advantages that automation presents for the job. The main new feature of our framework is that, in addition to the part of jobs that are displaced by automation, it also leads to the creation of new, more complex versions of existing tasks, which leads to the demand for employment. We focused more on the essential factor which is the degree of skill to take advantage of these new jobs. We carry out research based on information relating to automation and jobs. Also, by using the output of the final good model, we show that the creation of new tasks in which the labor has a comparative advantage is one of the positive aspects of automation. We find that automation will create new jobs (smart jobs) and eliminates repetitive jobs which will be replaced by machines in the future. However, these new jobs will need high skills. Therefore, the level and quality of education will play important role in the new jobs that automation will generate. Workers and future students must prepare themselves by focusing their training more on the skills that new technologies will require. Automation may prepare us for a future in which workers with low skills will be forced to change occupations or lose their occupations, which will be completely occupied by machines. We find also that the job loss depends on the speed of automation in each country. Based on the economic structure, the investment policy in new technology, and the level of education of countries, the speed at which automation spread is slower in some countries and intense in others. Therefore, the job is more at risk in countries with high automation than in those with medium or low automation.
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