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Is the Trump administration fighting the wrong economic battle? 

One of the most important and high interest economic debates of recent decades revolves around the relative importance of Skill-based changes in technology Globalization (and 'China's shock') In promoting job market polarization and the movement of many middle-class workers in the US

The dominant narrative, from the late 1990s to the early 2000s, was the notion that breakthroughs in information and communication technology and factory automation enhanced high-skilled performance, even if they simultaneously reduced the outlook for skilled workers. It was central. Supporters of this view held it Skill-based changes in technology I was led Polarization of jobs And a cry from the middle class.

Modern economists I'll classify it Working tasks as cognitive or non-cognitive (manual) on the one hand and routine or non-routine on the other. This allows you to assess the extent to which a particular task is threatened by automation.

Non-cognitive and routine tasks (historically intermediate jobs) faced significant automation risks, but widely believed that highly skilled jobs, including cognitive and non-routine tasks, are safe. It was being done. Manual and non-routine tasks (often low-paid jobs) were also assumed to be relatively safe. This was uneconomical or imperative to automate such jobs.

The assumption that future high-paying jobs include cognitive and non-commercial tasks has led many civil servants and economists to emphasize university education as a major path to success. If technology is skewed towards skills, some say the obvious solution Influential scholarsto enhance the overall skill set by increasing the formal educational attainment of the American workforce.

Recent trendBut it rises question On the continued validity of the hypothesis that there is Race During the achievement of education and technological advances, and the rapid increase in the supply of university graduates will help address labor market concerns. Some cognitive tasks and skills may already have demand peak. the study I'll suggest Stagnation of University wage insurance fees It may have been linked to eased demand for university graduates since the early 2000s (due to a slower pace of skill-based technology change).

A group of economists led by David Autor of MIT since the early 2010s push Another story focusing on the rise of China as a global manufacturing superpower (the “Chinese shock” hypothesis) Socioeconomic impact About certain US sectors and regions that have been directly exposed to import competition. This perspective also conveniently provided intellectual cover for those who feared the outcome of China's rise and hyperglobalization.

The impact of globalization on blue-collar workers (especially in production) is important, and the affected areas are Hit hard And it was left. Workers who were expelled from the factory often failed to find jobs that offered similar rewards elsewhere and ended up experiencing. Material reduction in their quality of life. Recent research Shows a surge in the prolonged impact of import competition on local labor markets support Because of nationalist policies that emphasize trade protectionism and stricter immigration control.

However, politicians may be fighting the final war, as reality on earth may already be changing. David Auto himself Recognised: “That particular battle is over. You can say we lost it, or it's a ceasefire, or they've gained some territory and we held the line But the battle is over. The nature of the competition between [the] We and China have changed since then. This is currently a massive competition for military power, semiconductors, electric vehicles, energy generation, aircraft and helicopters and telecommunications equipment, and that's not a job…”

Looking ahead, the rise of generative artificial intelligence will be much greater Challenge For policy makers. Generic AI is really visible Upside down Previous assumptions regarding high-skill position stability are simple and quick Run Many cognitive and non-routine tasks. suddenly, White-collar work appear Vulnerable. Entry level location information technology, Law, finance, accounting, marketing Additionally, other professional services have already experienced cuts.

Since luddites Textile machinery, which was devastated in early 19th century England, has caught up in a new wave of disruptive innovation, with concerns surrounding the unemployment of technology. Technofoves are often prey A false accusation of “a mass of labor”. So far, such concerns have been proven There is almost no basis. Neo-rudit adds to the fact that new technologies may serve as alternatives to certain types of human labor, but augments the skill sets of many workers in ways that allow for the creation of new products and services. Often times I couldn't recognize it. This generates a huge array of new jobs).

Until now, some Sector and Occupation There was an improvement in net work that was inevitably faced obsolescence (and some workers suffered from displacement in the labour market due to technological changes), usually associated with technological innovation. However, given the nature and scope of generative AI, it is not unreasonable to wonder if this is actually the case. different. some I declare optimism The possibilities of AI to support the middle class fear AI will do what automation/globalization has done to white-collar work.

Several important issues remain unresolved Even as an expert I don't agree On the potential nature and scope of the AI ​​revolution. From a policy perspective, which type should be considered skill (It's getting very bad Humanities Maybe I'll make a come back) It proves that A precious The age of AI. You may need to encourage college students to concentrate more Basic training And as a society, beware Cognitive Offload And a decline With critical thinking.

Dr. Vivekanand Jayakumar is an associate professor of economics at the University of Tampa.

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