Author : Johnny Ch LOK
Release : 2021-07-05
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis The Difference Between Traditional Machine and Robot To by : Johnny Ch LOK
Download or read book The Difference Between Traditional Machine and Robot To written by Johnny Ch LOK. This book was released on 2021-07-05. Available in PDF, EPUB and Kindle. Book excerpt: Some researchers constructed a measure of the use of robots--commonly referred to as "robot intensity"--to estimate trends in robot exposure across more than 250 metropolitan areas and over time, finding that: During the Great Recession, robot intensity plummeted. But since 2009, robot intensity has sharply increased nationwide. They felt that robots may influence recession in possible. How are robots going to affect our jobs? Most analysis tends to be prospective in nature, and estimates of future impacts on employment vary widely, with some studies predicting that as many as 50 percent of all workers are at risk of losing their jobs to automation. Even less is understood about the actual impacts of robots on jobs, wages, and workers today. If there are many low skillful jobs e.g. cleaner, warehouse deliver, cooker, restaurant waiter etc., even high skillful jobs, e.g. accountant, lawyer, doctors etc. occupations are replaced by robotics. Then, our societies will increase unemployed people number. Consequently, great recession will be caused by robotic workers because when our societies have many people lose jobs, then many people loss income, then our consumption desires may be influenced to reduce. Consequently, many businesses may lose many customers. Low consumption desires may bring serious recession to any countries, due to robotic workers number increases to replace human workers in global societies. The reason is that new technologies of the period have enabled people to be very productive while working part-time. Businesses do not need large numbers of employees, so individuals can devote most of their waking hours to hobbies, volunteering, and community service. In conjunction with periodic work stints, they have time to pursue new skills and personal identities that are independent of their jobs. Developed countries may be on the verge of a similar transition. Robotics and machine learning have improved productivity and enhanced the economies of many nations. Artificial intelligence (AI) has advanced into finance, transportation, defense, and energy management. The internet of things (IoT) is facilitated by high-speed networks and remote sensors to connect people and businesses. In all of this, there is a possibility of a new robotic society that could improve the lives of many people, but it also encourage future businesses apply robotics to replace human workers to do many jobs in finance, transportation, defense and energy management, medical health, hotel, tourism, cinema, theatre etc. entertainment service fields. So, robotics may bring reducing cost benefits to businessmen, but they can also increase workers losing jobs number in our societies if future many businesses make decision to apply robotics to replace human workers to do any simple ot complex jobs in global job market. A McKinsey Global Institute analysis of 750 jobs concluded that "45% of paid activities could be automated using 'currently demonstrated technologies' and . . . 60% of occupations could have 30% or more of their processes automated."[6] A more recent McKinsey report, "Jobs Lost, Jobs Gained," found that 30 percent of "work activities" could be automated by 2030 and up to 375 million workers worldwide could be affected by emerging technologies. Researchers at the Organization for Economic Cooperation and Development (OECD) focused on "tasks" as opposed to "jobs" and found fewer job losses. Using task-related data from 32 OECD countries, they estimated that 14 percent of jobs are highly automatable and another 32 have a significant risk of automation. Although their job loss estimates are below those of other experts, they concluded that "low qualified workers are likely to bear the brunt of the adjustment costs as the automatibility of their jobs is higher compared to highly qualified workers."
