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Faiz Mahmood Professor Skinner English C November 14, 2025 Annotated Bibliography Jung, Carsten, and Bhargav Srinivasa Desikan. “SCENARIOS FOR HOW GENERATIVE AI COULD AFFECT WORK IN THE FUTURE.” TRANSFORMED BY AI: HOW GENERATIVE ARTIFICIAL INTELLIGENCE COULD AFFECT WORK IN THE UK – AND HOW TO MANAGE IT , Institute for Public Policy Research (IPPR), 2024, pp. 22–33. One of the key points in this article about generative AI is that the technology could change work in a very different manner depending on the way it is used. The authors note that job losses may be limited, but they also emphasize that fields such as office workers and customer service might be interrupted significantly with up to one-third of the jobs being taken over by AI. They also point out that, unlike previous technological changes, this one is happening quite fast, so many workers may not be able to find similar jobs in a short period of time. Consequently, this may lead to a situation where low-exposure jobs become overcrowded, wages decrease, and workers whose tasks can be easily automated become unbalanced. This article supports the idea of a plan for the use of AI that would control the arrival of AI rather than leaving outcomes to be undecided. It emphasizes that there are many sectors that cannot be easily automated, for instance, care, education, mental health, and environmental jobs, which already have a demand for more workers. They rely on skills
that AI can simply not be trusted upon. By raising wages, providing more training, and improving working conditions the government can try a smoother approach for displaced workers while also ensuring that the advantages of AI are to different layers of society.
Tyson, Laura D., and John Zysman. “Automation, AI & Work.” Daedalus , vol. 151, no. 2, 2022, pp. 256–71. Tyson and Zysman take a look at the influence of AI on labor markets and wages. According to their view, AI mainly replaces physical tasks; therefore, wage growth for low and middle-skilled workers is kept steady, while wages of highly skilled workers, whose tasks are complemented by AI, increase. While AI increases productivity to a certain extent, these benefits are rarely shared, which in turn leads to a rise in income inequality. Additionally, the authors link the present situation with the past stating that wage growth separates the wage difference between workers. This piece stresses the influence of AI on wages as it is largely dependent on policies from the government. Countries equipped with strong labor protections, and solid training systems, (Germany and Denmark) have been able to cushion the impact of wage losses, where in places with weaker systems like the U.S, there has been a rise in the gap between the rich and the poor. Tyson and Zysman show that the impact of AI on wages depends on societies, dealing with the issue of automation, training of workers and sharing the productivity benefits.
workplace skills, labor trends, and regional differences. Some foresee massive job losses, while others see new jobs, productivity increases, and changing skill requirements. Both views agree that AI mainly affects certain skills within jobs rather than whole occupations. Researchers add detailed skills data with machine learning and network analysis to better understand workforce transitions, career mobility, and labor instability. This strategy can be used to retrain programs that can support workers in the evolving job landscape.
Brynjolfsson, Erik. “The Turing Trap: The Promise & Peril of Human-Like Artificial Intelligence.” Daedalus , vol. 151, no. 2, 2022, pp. 272–87. Brynjolfsson suggests that AI influences human wages by either supporting labor or by taking over it. An AI that helps human work can increase productivity, create new tasks, and lead to higher wages. On the other hand, if AI is a complete substitute, it will lead to a diminished demand for workers, therefore, fewer workers’ rights. To support his point, Brynjolfsson refers to technological changes in the past and uses economics to conclude that technological changes in the present may have stronger effects than those in the past. According to the paper, the potential for business consequences is substantial, which means that there will be more automation in the world. He also affirms that government programs such as schooling, vocational training, and tax incentives can very well ease AI applications that support human work, creating possibilities for many to benefit from this technological growth spurt. This reference is huge in grasping not only the economy related to AI wages but also the interplay of social and policy factors that determine these outcomes.
Nicolaci, Ana. “AI Is Not yet Replacing Workers in the US, Researchers Find.” CNN , Oct. 2025, www.cnn.com/2025/10/01/business/ai-impact-us-jobs-study-intl. Date Accessed 14 November 2025 The article covers a study conducted by Yale University regarding the impact of ChatGPT and generative AI on the US labor market. According to the research, AI has not yet been the cause of significant interference to employment and wages. However, it is reported that some companies, like Duolingo, have announced layoffs caused by AI. The study acknowledges that the adoption of AI is still in its minimal, and the effects over time are still unknown. The study also points out that AI can generate more work as people have to verify the AI outputs. This is also known as “workslop.” This publication is useful in understanding how AI influences labor in the world at the moment, and indicates that wage and employment effects are a result of the manner in which AI is being executed. It also implies that the future will be shaped by the role of monitoring, policy, and business practices.
