How Can Artificial Intelligence Raise Efficiencies To Avoid Wage Inequality
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Why Artificial Intelligence Raises Efficiencies to Avoid Wage Inequality
(AI) reduces the increased in the ageing population arises the wage costs of enterprises.Nowadays, any countries, the increased in the ageing population arises the wage costs of enterprises in two ways. The first is the seniority-based wage system, the ageing of the labour force naturally leads to a rise in the total wage costs. For example, the senior position, e.g. CEO, manager, doctor, lawyer etc. different professional or senior management occupations. The middle or old age labour both groups whose wages will be higher than the young age labour group. Their high wages level are depended on their working experiences, knowledge and educational level. So, if the young employee who has been working in the same firm (employer) from the under level clerk position to be promoted to the senior level CEO or Senior mangagement position during who is middle age or old age stage. Then, the firm's senior level and under level wage gap will be larger to compare with it chooses to recruit the another new employee who enters to this firm to do the senior level position. Because the firm's distance of wage gap between the lower level and the middle or upper level employees, it is depended the factor, such as the upper level employee position who is either come from whose firm's promotion or the choice of its new staff's outside employment method. So, why the difference of wage distant gap to any large enterprise, which is caused by the senior management level position is either recruited from promotion method or recruitment from outside employment method. It seems that the important determinant of working conditions for individual employee to cause wage inequality to Japan and China both countries, including job stability, wage level and opportunity for receiving training etc. job market factors. Also it seems that the cause of their wage inequality reasons include the individual labour's education level, skillful level and individual labour's age etc. different personal factors mainly. Otherwise, the other factors to cause wage inequality to America, it is possible to link these factors, including structural changes on the labour market to industrial dynamics, deindustralization, technology innovation changes to work nature and commercialization of micro-economic factors. So, the nature of inequalities, e.g. wage vs other types of income, it is the nature of link of different age and/or occupation groups. Thus, different countries will have different factors to cause wage or income inequality. Such as, America wage inequality is caused by the macro economic factor mainly, it focuses on structural changes on the labour markets as a consequence of industrial dynamics, deindustralization, changing technology work nature to cause America wage inequality consequently. Otherwise, Japan and China wage inequality is caused by personal education and working experiences and job market factor.Hence, (AI) can reduce the increased in the ageing population arises the wage costs of enterprises because it is not all young age workers who have effort to familiar how to operate robotics to work together in order to achieve the productive efficiencies possibly. It is possible that the older age workers who have effort to familiar hoe to operate robotics to work together in order to achieve the productive efficiencies more easily possibly. So, it can reduce the increased in the ageing population raises the wage costs chance when the organization applies robotics participation to assist workers to work in factories.
How Can Artificial Intelligence Raise Efficiencies: To Avoid Wage Inequality
Author: Johnny Ch Lok
language: en
Publisher: Independently Published
Release Date: 2019-03-28
(AI) reduces the wage inequality toJapan, China, America three countriesmanufacturerFollowing, I shall explain how and why (AI) can reduces or avoids the differences of income inequality to Japan, China, America three countries manufacturers. First, Japan and China Asia both countries have similar factors to cause the income (wage) inequalities. These two countries' employers usually divide the income class that have the top and bottom income classes in their societicies. In fact, Japan and China income gap are similar widening. The Japanese and Chinese have negative perceptions about the income gap because labours perceive whose wages to be influenced by talent, academic background or luck and this perception seems relatively uncommon in the another Western countries, such as America. A large percentage of Japanese and Chinese also think one' income is decided by talent, ademic background or luck, although it should not be. The reason is possible caused by Japan and China societies both have experienced changes in the population structure, family structure and mobility among the income classes during the last three decades.So, if these three countries manufacturers can attempt to apply (AI) robotic to participate their workers' jobs in order to reduce their work burden as well as they are trained to learn how to cooperate with robotic to work efficiently or effectively in factories. So, in talent view point, when these countries manufacturers discovered their manufacturers whom workers can raise efficiency performance to maufacture more products after they cooperate with robotic to work together or whom workers can not raise efficiency performance to maufacture more products after they are trained to learn how to cooperate with robotic to work together. They can know their workers whose effort are higher and they are talent, then they can evaluate who can raise efficiency in order to achieve the productive increasing. They can follow their effort and talent and efficiency factors to pay the more reasonable wage to every worker after robotics are participating their every worker's job in factories.By past income statistics indication, the income inequality of single member householders are ususally lower than those householders with two or more members in Japan and China country. So, it seems the family aging population structure factor can influence wage inequality in Japan and China both countries. The past statistics also indicated that the income inequality in Japan and China have been greater within older group. This life long gap starts widening around the age of 40, when the speed of job promotions begins to differ among employees. So, when (AI) robotic is applying to assist China and Japan workers to manufacture any kinds of products in factories. It will bring more equal wage determination between older age workers and younger age workers and robotics can avoid the age discrimination to cause the lower unequal or unfair wage determination to the older age workers in China and Japan both countries because the China and Japan employers can evaluate whether the worker who ought pay higher wage or lower wage. The reason is not based on age factor. The older age worker ought pay higher wage to compare the younger age worker in the factory if the older age worker can raise productive efficiencies higher than the youger age worker after they both have trained to learn how to cooperate with the robotics to work together in the factory's team. So, robotic's participation can let the factory's young and old workers to feel their employer can pay more fair wage to them to avoid the lower wage workers feel unreasonable eage treatment and leave their employer.
Artificial Intelligence Raises Efficiencies and Avoids Wage Inequality
Chapter 1What is the relationship between (AI) robotic productive behavior and efficiency and improving wage equalityIn what way has globalization affected employers choose (AI) technology to raise efficiency to productivity as well as it can bring wage to be raised equality, when employers apply (AI) robotic only assist labours to share workload to achieve more productivity and raise efficiency. Then, every employee's wage raising determination, it will depend on how the employee can cooperate with the robotic to work more efficient. So, it is based on this knowledge managment factor, every employee's wage can be paid more fair or equal. For example, when the employee can cooperate with the robotic to raise manufacture more than 100 pieces of watches in every one hour, but the another employee can cooperate with the robotic to manufacture less than 100 pieces of watches in every one hour. So, the prior employee can achieve to raise efficiency to manufacture more than 100 watches in every hour, when he and the robotic to work in the factory. Otherwise, the later employee can not achieve to raise efficiency to manufacture more than 100 watches in every hour, when he and the robotic to work in the factory. Hence, the wage determination will depend on whether who can cooperate with the robotic to raise efficiency. If the employee can manufacture more than 100 watches every hour when he cooperate with the robotic, then his wage ought pay more than the employee who can not manufacture more than 100 watches every hour, when they are cooperating with the robotic to manufacture every watch in the factory.Our age is entering an (AI) technological productive environment, such as factory robotic, artificial intelligent education, (AI) public transportation drivers etc. different kind of (AI) job. It seems that future (AI) will participate to any jobs with labor to work together in any places and times as well as job chances will affect that our live and employees' working method to be changed every day. For example, online electronic book publishing business will be popular, many different countries' readers who like to buy electronic books to study, due to these online electronic book shops, e.g. Amazon, lulu, book Rix, book tango etc. electronic book stores which can provide free charge to deliver cheaper paper books to any overseas countries' readers' homes and which paper book prices are more cheaper to compare to book shops' paper books process after who have paid to buy any electronic books or paper books from these online book stores websites. Moreover, these readers can read these book stores' electronic books from online publishing sellers' websites to download these electronic books to study at homes or any libraries etc. computer provision of places easily and conveniently. So readers do not need to walk to any book shops to buy any paper books and who also do not need to bring any heavy paper books back to homes conveniently. Hence, electronic publishers can provide electronic book authors' job chances to write their books and type to computers to register to be online authors to publish whose electronic or paper books to earn loyalty income at home very easily. Also, the globalizing online job nature can change the customized office work style. It won't need staffs go to office to work from 9:00 am to 6:00 pm. In general office workers need to spend eight to ten working hours with five or six working days within per week commonly. Hence, online office workers don't need to pay transportation fee and lunch cost, due who can work at their home when who turn on their computer to enter whose employers' websites to work and make email communication to connect between them conveniently.