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In recent years, employing machinery equipment in industries has become more prevalent compared to the past. While there are some drawbacks to using machines in the job market like decreasing job opportunities for people, the perks of this improvement such as being both less time-consuming and cost-effective are far more significant.
Firstly, one of the primary downsides of this advancement is robot employment in practical jobs reduces the number of career openings for the human workforce. In other words, the more machines perform hands-on tasks in workplaces, the less employers hire human workers for their job vacancies. Furthermore, machinery is limited to completing tasks needing human abilities including decision-making skills, managing customer responses, and comprehension of urgent situations. For instance, the projects associated with autonomous vehicles failed due to a lack of decision-making abilities in particular conditions like the possibility of accidents needing human involvement.
However, there are some merits associated with this technological improvement, one of the prominent ones is time-effectiveness. To put it another way, today, many companies employ machines for their labor-intensive jobs to work more and faster than human laborers for 24 hours nonstop. In addition, embedding technological equipment in handy jobs is economically efficient for industries, as they need no salaries, insurance, or retirement. Moreover, this development creates new employment prospects for individuals in programming, Artificial Intelligence, and IT.
In conclusion, although there are some disadvantages to applying robots to functional careers like increasing the unemployment rate among traditional physical workers and the limitation of robot performance in some specific conditions due to the lack of emotions, there are some potential benefits in this improvement such as being both time-saving and cost-efficient. Finally, a cooperative approach that combines humans and robots to work together is the best way to achieve the best outputs.