IELTS Writing Task 2 Sample 72 - Computers are replacing.
In a 2016 working paper for the National Bureau of Economic Research, Daron Acemoglu and Pascual Restrepo — economists at MIT — describe two effects of automation. The technology increases productivity (think about that growth in steel output with fewer workers). This, in turn, creates a greater demand for workers to perform the more complex tasks that computers cannot handle.
Find out how susceptible is your job to computerization. Will Robots Take My Job? Menu. Jobs. About. Rankings. Contact. or show random example. Most searched. Accountants and Auditors. Lawyers. Computer Programmers. Teachers and Instructors, All Other. Software Developers, Applications. Taxi Drivers and Chauffeurs.
This shows that with the use of technology across our industries and businesses, the need for manual workers is cut short; hence we can definitely say that technology is destroying jobs. This is exactly the reason why in most of the developing as well as developed countries, it is seen that there is more and more economical growth but very little job growth.
With the introduction of computers in the work environment, new jobs, new professions appeared. But at the same time, equipping offices with computers leads to a reduction of some employees. Many positions in the production are just left in the past. All these raise questions about the need to limit the use of computers in the workplace.
How is new technology changing job design? Machines’ ability to perform cognitive, physical, and social tasks. Technology makes many high-skill jobs more intrinsically motivating, enabling more tasks, skills, and decentralization.. Some claim that computers will soon replace many workers as artificial intelligence advances. Others are.
The Four Things People Can Still Do Better Than Computers.. by computer programs. Some of these jobs disappear, and others become more complex and interesting as the computer takes over the.
These misfires point to a more general problem with automation predictions: an abstract description rarely captures the full complexity of any job. Ironically, broad classification of jobs as automatable looks like something that a computer might produce if one took such classification work as an automatable task—rote and lacking in nuance and specificity.