The wave of automation is inevitable. A new round of automation will impact low-income jobs
in 2013, a study by Oxford University found that about half of the jobs in the United States are at risk of being automated. Now, based on the data of this study, the school of spatial economic analysis of the University of Redlands has conducted a detailed study from another perspective. Researchers produced a map showing the different risks faced by major cities
"I tell you that 50% of the work in the United States is likely to be automated, or I say, 'in San Bernardino, we will face an automation rate of X.' these two statements give people a completely different feeling," College Dean Johannes Moenius told fastcompany, "People know the local social structure and the type of work. When they face problems directly, people want to do something they need to do. We can't wait for this to happen."
a new round of automation will impact low-income jobs. "We see that in this wave of automation, people with low education will be more affected," Moenius said. "The number of these people is very large. In recent years, automation has gradually become economically feasible, and the speed of automation is very fast, which affects many kinds of jobs at once."
it should be noted that this study only shows a possibility. "The threat of automation does not mean that work must be automated," he said. "I can't imagine that all licensees or waiters will become robots. High-end restaurants will still have waiters, because that is part of the guest experience. However, this study shows the possibility of technology. Especially at the bottom of the food chain, if a job can be automated, it will be automated."
a data system for 248 concrete structures across the field will be established.
the study found that three types of work are most likely to be automated: Office secretarial work, restaurant waiter, and sales work. In California and Louisville, transportation is threatened by automation
moenius believes that it is meaningless to oppose automation. On the contrary, the government, enterprises and 6 experimental force zero relative error ± 0.1% education departments should consider how to actively respond to the wave of automation. "I don't think there is a unified solution to this problem," he said. "Every city must find its own solutions." 2. Load accuracy:0.01%
"those projects that try to strengthen stem education are on the right path. If you understand mathematics, you may solve those problems we haven't found yet," he said. "Problem solving skills, spatial thinking, understanding cross domain problems -- these are necessary for people to make decisions, and should also be the direction of future education."