Hua Hsu, for the next, “What happens after A.I. Destroys College Writing”, and Lila Shroff, the author of “The Gen Z lifestyle subsidy”, share some commonalities. First, both authors wrote towards college students specifically, on the same topic, which is A.I., and on how it impacts students’ education, but also their lifestyle.

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Both texts have the same audience, being college students and professors. Comparing and contrasting the audience for each text, both authors for each text know their readers have either used A.I. or just use it daily. Hua Hsu talks to college students specifically about how A.I. works at a much faster and efficient pace, which harms the students’ education. While Lila Schroff talks to college students usage of A.I. not only through education but daily, like it’s a lifestyle. The extended audience, on the other hand, could be people. All students, in general, and on how AI impacted their education, whether the students use it, or even professors and teachers.

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The context for both texts would be the introduction of AI and its immediate impact on the education system. Hua Hsu, a professor in a small liberal arts college, responds to the issues of AI and impact to students’ education in an analytical manner, on how AI can produce work at a faster pace, describing her own work. What it takes for her could be done in less than 30 minutes if she used AI. Hua Hsu uses her personal life to explain how harmful AI really is through her friends, Alex and Eugene. Alex, a college student who uses AI a lot to finish homework and assignments, also uses it throughout the day, whether it’s for dating advice or tips for what to wear that day. Also, Hua Hsu explains that professors utilize AI as well and even integrate it in their lesson plan for students’ education, being ironic since at first they tried to reduce it, to now embracing it and even using it. As for Lila Shroff, she also explains how AI has impacted college students and how they use it, but as she goes more into broad on how AI is using the students instead. She explains how students got these free trials for any time of AI and essentially helps students, for example, it’s finals week. AI companies would give a very good offer for students to use this AI, which over time builds this relationship/trust of this certain AI to these college students and to build revenue from it, even if they lose billions at first. Over time, these trials would end, but these students would still want to continue and would have to pay full price for it. 

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Hua Hsu uses her personal experience and also with Lila Shroff, but she also uses much more information and data to explain the purposes of both texts. The authors for each text do share the same goals, which would be not to fail for these AI companies, because it would affect their education and lifestyle. While Lila Shroff does specifically talk about how these AI essentially set this trap of the free trials and reduced offers to college students to later on build trust and this long relationship to then gain revenue from it, leading these companies to increase their prices. I would say I’m like part of the intended audience, since when these AI companies began to go off was when I was a senior in middle school to a freshman in high school. Even if I wasn’t at college yet, I definitely utilized AI a lot that it nearly became like a lifestyle for me. But I was trying my best not to use it at all, and it’s perfect to start in a brand new school/chapter in my life. Each text basically resonated with me on how, at first, I neglected the use of AI and told myself it’s basically cheating, that it’s wrong to eventually use it a little to organize certain assignments, to fully use it for assignments, I procrastinated. I went from a cheating tool to a tool to help in school and daily life. I would say that the author definitely achieved their purpose for each text. A quote that resonated with me from Hua Hsu is, “ Among educators, an even greater panic arose. It was too deep into the school term. Its implant policy for me seemed like a homework killer in a second chatbot could collect and summarize research and draft a full essay.