How AI Is Changing the Future of Work
Bannon, Maren Thomas. “How AI Is Changing the Future of Work.” Forbes, 20 Feb. 2024, www.forbes.com/sites/marenbannon/2023/06/22/how-ai-is-changing-the-future-of-work.
The Forbes article by Thomas Maren Bannon explains artificial intelligence (AI) technology and how it is changing the future of work. The article is credible because of Bannon’s reputation as a contributor to the magazine and an investor in early technology startups. However, since it is a magazine article, it does not have additional references. The article mainly focuses on the transforming effect of AI on the future, working largely around the additional productivity of AI and the creation of new job roles. The problem is that the article is more subjective than it is objective; for example, Bannon highlights the positive AI integration but does not address the ethical concerns or what might result in jobs being displaced.
The article offers valid information with solid evidence to back the views of the author. However, it does not address the specific difficulties that will be experienced by vulnerable workers and misses an opportunity to talk about the socio-economic disparities that will be caused by AI. In comparison, the articles by Fredberg and Schwarz and Jetha et al. provide a robust academic framework, allowing the reader to appreciate how AI can bring about complex changes in the future of work. In contrast, Bannon’s article is a broader commentary, highlighting the author’s opinion of AI’s role in the future of work.
Fredberg, Tobias, and Gavin M. Schwarz. “What AI Knows: Shaping Work and Pushing Ideas on Changing Organizations.” The Journal of Applied Behavioral Science, Sept. 2024, https://doi.org/10.1177/00218863241285218.
Fredberg and Schwarz’s article examines how artificial intelligence (AI) is changing organizational structures and the way we work. The credibility of the article is added by the academic background of the authors, documented systematic documentation of references that contain empirical studies, and a well-designed framework. The article manages to simultaneously account for the benefits of AI, such as better efficiency through data, and downsides, such as condensing work through repetitive tasks, risks of joblessness, and the ethical issues of data management. The authors’ attempt to evaluate both advantages and disadvantages is articulated in a way that inspires critical thinking.
The best trait of the article is that it anchors theoretical concepts to the research through contemporary case studies and examples. This makes the discussion something that the reader can relate to more readily. The use of case studies offers a comprehensive analysis of the impact of AI on the future of work in a clear manner. Compared to Bannon and Jetha et al., the article by Fredberg and Schwarz adopts attributes of a rigorous academic approach with deep analysis, which makes it an important article for the research on the relationship between AI and the future of work.
Jetha, Arif, et al. “Fragmentation in the Future of Work: A Horizon Scan Examining the Impact of the Changing Nature of Work on Vulnerable Workers.” Research Square (Research Square), Dec. 2020, https://doi.org/10.21203/rs.3.rs-122507/v1.
In their article, Jetha et al. make a good case for how technological developments, in particular AI, impact the future. The authors form a multidisciplinary team, which adds to the depth of the analysis. In addition, they add credibility to their findings through a synthesis of 4,800 articles and a full review of 342 articles (Jetha et al.). The article presents a structured framework, and the findings are categorized into nine trend areas, including digital transformation and globalization. It helps make the reader understand the multifaceted way technology is changing work.
One of the article’s positive attributes is that the authors recognize that AI has the potential to displace low-skilled jobs, but also that there are potential upskilling and job creation options in new sector creation. This duality brings to the forefront of the conversation about the future of work and the need for inclusive policies. Additionally, it contains timely insight, in particular on the effects of the COVID-19 pandemic on labor market dynamics. This makes the article more relevant to policymakers trying to handle the complexities of workforce change. In contrast to the other two articles, Jetha et al. focus on the implications at the organizational level rather than the broader organizational level. The findings from this targeted analysis build on previous articles, shedding light on the differentiated impact of technological change across different worker demographics.
Works Cited
Bannon, Maren Thomas. “How AI Is Changing the Future of Work.” Forbes, 20 Feb. 2024, www.forbes.com/sites/marenbannon/2023/06/22/how-ai-is-changing-the-future-of-work.
Fredberg, Tobias, and Gavin M. Schwarz. “What AI Knows: Shaping Work and Pushing Ideas on Changing Organizations.” The Journal of Applied Behavioral Science, Sept. 2024, https://doi.org/10.1177/00218863241285218.
Jetha, Arif, et al. “Fragmentation in the Future of Work: A Horizon Scan Examining the Impact of the Changing Nature of Work on Vulnerable Workers.” Research Square (Research Square), Dec. 2020, https://doi.org/10.21203/rs.3.rs-122507/v1.
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How AI Is Changing the Future of Work
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