BUSN410_Week_3_Editorial

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Unemployment in Information Technologies American Public University BUSN410: Critical Thinking Strategies for Business Decisions Larry Woods November 26, 2023 Unemployment in Information Technologies

Summary Lin, B. (2023, October 6). IT unemployment Soars to 4.3% Amid Overall Jobs Growth. WSJ. https://www.wsj.com/articles/it-unemployment-soars-to-4-3-amid-overall-jobs-growth-2bbb1140 Although there is an increase in job opportunities in the U.S., the IT field is suffering from low employment rates, given the introduction of Artificial Intelligence (AI) technology. Unfortunately, the latter has overtaken manpower, and employers prefer it to human labor for cost-effectiveness. The unemployment rate in Information Technology has skyrocketed from 3.8%, which is a general jobless rate, to 4.3%. Although counterarguments propose that this is false and that IT experts are in demand for data analytics and IT project management, research suggests that many entry-level roles, such as customer service, have been overtaken by AI. Employers have begun training employees on AI usage, avoiding the employment of new workforces. The nation is suffering from unemployment in the IT sector, and the supply is much higher than demand. Unemployment in the IT field covers the larger percentage of the total unemployment rates in the country. Article Premise The article stems from the introduction of AI technologies into the marketplace. Although AI has led to numerous advancements in the contemporary world, it has been associated with increased unemployment. According to Guliyev (2023), these technologies have replaced human labor, as employers prefer them for efficiency, which humans may otherwise not provide. The article thus elaborates on this issue by focusing on technology's impact on the IT field. Some may argue that AI does not replace human labor and thus does not impact unemployment (Georgieff & Hyee, 2022). However, the article bases its arguments on these

facts, elaborating that the IT departments have faced significant changes since skills previously portrayed by humans have now been incorporated into machines, thus dismissing human labor. Evidence Presented The author supports her argument by mentioning that unemployment in the IT field has increased to 4.3%. Statistics prove credibility, particularly by relating these numbers to national unemployment rates. The author’s explanation for relating AI to IT unemployment is credible, as Lima et al. (2021) discuss that invented machines often take over the roles of humans. Further, she incorporates a graph by Janco Associates on unemployment rates affecting information technologies. This evidence is credible enough to support her arguments, given that the statistics accompanying the data are reliable. According to Matuzeviciute et al. (2017), technological advancement increases unemployment in various circumstances and fields and may lead to long- term consequences. Thus, this information supports the evidence provided on the graph indicating the length of unemployment in the IT field. The evidence provided by Lin (2023) is verified, given the vast amount of data supporting it. The journals included, for example, offer insight into the impacts of AI on unemployment, thus supporting the author’s evidence. Counterarguments The author presents numerous counterarguments through quotes and statements from opposers. This aspect proves the openness and reliability of the author's arguments since the opposing views are respected. She mentions that technology leaders hold that AI does not lead to unemployment as areas such as cybersecurity outpace supply. She gives evidence of these counterarguments by quoting CompTIA's chief research officer, Tim Herbert. The counterarguments are effectively presented, leaving no room for doubt regarding the author's

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