{"title":"人工智能、自动化和新工作","authors":"Jaures Badet","doi":"10.4236/ojbm.2021.95132","DOIUrl":null,"url":null,"abstract":"Our study analyzes the \nadvantages that automation presents for the job. The main new feature of our \nframework is that, in addition to the part of jobs that are displaced by \nautomation, it also leads to the creation of new, more complex versions of \nexisting tasks, which leads to the demand for employment. We focused more on \nthe essential factor which is the degree of skill to take advantage of these \nnew jobs. We carry out research based on information relating to automation and \njobs. Also, by using the output of the final good model, we show that the \ncreation of new tasks in which the labor has a comparative advantage is one of \nthe positive aspects of automation. We find that automation will create new \njobs (smart jobs) and eliminates repetitive jobs which will be replaced by \nmachines in the future. However, these new jobs will need high skills. \nTherefore, the level and quality of education will play important role in the \nnew jobs that automation will generate. Workers and future students must prepare \nthemselves by focusing their training more on the skills that new technologies will require. Automation may prepare us \nfor a future in which workers with low skills will be forced to change \noccupations or lose their occupations, which will be completely occupied by \nmachines. We find also that the job loss \ndepends on the speed of automation in each country. Based on the economic \nstructure, the investment policy in new technology, and the level of education of countries, the speed at which automation \nspread is slower in some countries and intense in others. Therefore, the job is \nmore at risk in countries with high automation than in those with medium \nor low automation.","PeriodicalId":411102,"journal":{"name":"Open Journal of Business and Management","volume":"15 3","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-08-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"AI, Automation and New Jobs\",\"authors\":\"Jaures Badet\",\"doi\":\"10.4236/ojbm.2021.95132\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Our study analyzes the \\nadvantages that automation presents for the job. The main new feature of our \\nframework is that, in addition to the part of jobs that are displaced by \\nautomation, it also leads to the creation of new, more complex versions of \\nexisting tasks, which leads to the demand for employment. We focused more on \\nthe essential factor which is the degree of skill to take advantage of these \\nnew jobs. We carry out research based on information relating to automation and \\njobs. Also, by using the output of the final good model, we show that the \\ncreation of new tasks in which the labor has a comparative advantage is one of \\nthe positive aspects of automation. We find that automation will create new \\njobs (smart jobs) and eliminates repetitive jobs which will be replaced by \\nmachines in the future. However, these new jobs will need high skills. \\nTherefore, the level and quality of education will play important role in the \\nnew jobs that automation will generate. Workers and future students must prepare \\nthemselves by focusing their training more on the skills that new technologies will require. Automation may prepare us \\nfor a future in which workers with low skills will be forced to change \\noccupations or lose their occupations, which will be completely occupied by \\nmachines. We find also that the job loss \\ndepends on the speed of automation in each country. Based on the economic \\nstructure, the investment policy in new technology, and the level of education of countries, the speed at which automation \\nspread is slower in some countries and intense in others. Therefore, the job is \\nmore at risk in countries with high automation than in those with medium \\nor low automation.\",\"PeriodicalId\":411102,\"journal\":{\"name\":\"Open Journal of Business and Management\",\"volume\":\"15 3\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2021-08-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Open Journal of Business and Management\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4236/ojbm.2021.95132\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Open Journal of Business and Management","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4236/ojbm.2021.95132","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.