Unit 1 Science fiction巩固练习 2022-2023学年人教版高中英语选择性必修第四册

专攻解题法与技巧 选择性必修第四册Unit1 Science fiction巩固练习 I阅读理解 A (2o23-河北诊断考)Robots are getting better at doing human jobs.That's probably good for the economy,but there are some serious drawbacks,too. Machines are expected to displace about 20 million manufacturing jobs across the world over the next decade,according to a report released by Oxford Economics,a global forecasting and quantitative analysis firm. That means about 8.5%of the global manufacturing workforce could be displaced by robots.The report also notes that the move to robots tends to create new jobs as fast as it automates them:however,it could contribute to income inequality.The use of robots is on the rise.At this point,every new robot that is installed (displaces 1.6 manufacturing workers on average,according to the Oxford Economics model. Robots are becoming cheaper than many human workers,in part because of the falling costs of machines.And they are increasingly capable of functioning in more complex processes and varied contexts.On top of that,the demand for manufactured goods is rising. One potential downside of the robot revolution:Automation could increase income inequality."This great displacement will not be evenly distributed around the world,or within countries,"according to the report."Our research shows that the negative effects of robotization are disproportionately( )felt in the lower-income regions compared with higher-income regions of the same country." The workers who drive knowledge and innovation within the manufacturing industry tend to be concentrated in larger cities,and those skills are harder to automate.That's why urban areas will deal better with the increased automation,according to the report. On the whole,the increased use of automation will likely create new jobs at a pace comparable to the jobs that will be lost,which cancels out fears about permanent job destruction,according to the Oxford study.That said,the poorer regions that are expected to lose the most jobs will probably