Suwaid Hassan

Professor Orwig

English [Topic Section]

11/7/25

How AI Is Rewriting Human Language

  We are entering a world where people sound more like machines than machines sound like people. AI tools like ChatGPT are becoming part of everyone’s daily lives. People use them for school essays, work emails, and even casual conversations. Originally, these tools were trained using human speech and writing patterns, but now, the influence seems to be reversing. Humans are beginning to copy the language of machines instead. This growing dependence on AI threatens to reshape the way we communicate, warning us that “standard” language may soon be guided by machine norms rather than human creativity. This shift matters because language is one of the most personal things that make up human identity, and when we start sounding like machines, we risk losing the individuality that language naturally expresses.

  While AI gives us efficiency, clarity, and correctness, its overuse can flatten expression and limit individuality. More and more people rely on AI to write, gradually picking up its tone and structure. John Smith explains that “AI-generated language is influencing the norms of human communication” (4). This shows how the direction of influence is shifting, from humans shaping machines to machines shaping humans. This is important because it shows that AI is no longer just imitating us, it is starting to determine how we think writing should sound. Lippi-Green supports this by observing that people “adjust their language to fit social expectations” (52), meaning that if AI creates the expectation of sounding polished and neutral, people will naturally imitate that tone even without realizing it. Kevin Roose notes that “people are starting to write the way ChatGPT does: clear and boring”. This comment highlights something deeper, people are not just using AI for help, they are absorbing its voice as their own. These examples reveal how humans are beginning to learn from AI rather than the other way around, raising the concern that personal style and authentic voice are slowly being replaced by machine-like predictability.

  However, AI doesn’t create language, it mirrors and amplifies what already exists. Smith observes that AI tools “reproduce the ideology of Standard English as the dominant language” (6), which shows that AI isn’t neutral at all, it is carrying forward the same social power structures already in society. Instead of offering something new, AI acts like a speaker for the voices and rules that have always been there.  Lippi-Green argues that “the standard language myth is a tool used by those in power to maintain authority” (60) and this idea becomes even more concerning when applied to AI because now the authority is built into technology used by millions of people every day. Roose writes that people trust AI because “its writing feels official and neutral,” yet that “neutral” tone hides deep bias. This shows that what people see as ‘neutral’ is just what sounds familiar or controlling, and AI reinforces that by showing the same patterns over and over. What seems like objective writing is actually a copy of social voices, meaning AI is not just reflecting language norms but improving them in ways that reach far more people than institutions could.

  The danger is not only that humans imitate AI, but that AI defines what “good” writing looks like. As people continue to use AI, their sense of language changes. Smith suggests that “continuing to rely on AI may reestablish human perceptions of fluency” (8), which means that the more normalized AI writing becomes, the more people start to assume that its style is the correct or more professional. This shifts authority away from human communities and places it in the hands of machines. Lippi-Green reminds readers that “language authority always follows social power” (65), and today, that power is held by large tech companies whose priorities are efficiency, not creativity or individuality. This gives AI an enormous influence over what counts as proper communication. Roose adds that AI’s “flat, formal tone is becoming the default of writing”, this shows that people begin to believe emotional or expressive writing is somehow wrong just simply because AI doesn’t use it. This means the creative and emotional elements of human language are being replaced by machine precision. If this shift continues, we may reach a point where originality feels unusual, or even incorrect, because AI has redefined what real writing looks like. What was once human art could become an automated process, taken from its individuality.

  Some might argue that AI simply improves efficiency and helps people express themselves more clearly. While this is true, the cost is often difficult to describe: people lose their natural rhythm, voice, and creativity. Smith points out that “AI tools prioritize clarity over complexity,” leading to what he calls “linguistic homogeneity” (9), which means that writing begins to lose its personality because everything starts sounding the same. AI removes the natural messiness of human language, and that messiness is where originality and emotion show up. Lippi-Green echoes this concern, writing that “variation is the essence of human communication” (70), suggesting that AI reduces variation, it is also reducing culture, identity, and the different ways people express their experiences. AI writing is clean but lifeless: it communicates information. As this becomes the standard, newer generations might begin to think that writing with personality is unprofessional. This pressure to sound “correct” can push people away from their voices, especially those whose speech doesn’t match standard English norms. This issue goes beyond writing. It affects how we think. The words we use shape how we see the world. If AI teaches us to use its patterns, we might start thinking like it too, structured, efficient, but limited. Roose argues that “the danger of AI isn’t that it will outthink us, but that it will make us stop thinking creatively” (Roose), and this highlights the biggest threat: not losing to machines, but becoming like them. Once creativity is replaced by predictable patterns, communication becomes less human. This is the real risk. When we adopt machine-generated norms, we lose not just the sound of our voices but the ability to express human experience fully.

  AI was made to learn from humans, but now humans are starting to learn from AI. As we use these tools more and more, our writing may lose some of its creativity and personal identity. AI can make writing easier, but it also makes everyone sound the same. Language has always changed over time, but when machines are in control, we risk losing what makes human communication unique.What becomes dangerous is that this shift doesn’t happen in the open, it happens quietly, in our everyday writing, one generated sentence at a time. If we are not careful, we might let AI decide not just how we write, but how to completely express ourselves. This isn’t just a change in communication, it’s a change in how we think, feel, and understand the world.  We must treat AI as a tool, not a teacher. Because the moment we let machines define our language, we don’t just lose our variety, we begin to lose our voice. The moment we let machines define our language, we surrender our humanity. AI may be efficient, but human expression: messy, emotional, and imperfect, is what truly gives language meaning, what gives us meaning.

Works Cited

Lippi-Green, Rosina. English with an Accent: Language, Ideology, and Discrimination in the United States. Routledge, 2012.

Roose, Kevin. “How ChatGPT Is Changing the Way We Write.” The New York Times, 2023Smith, John. “Artificial Intelligence and the Future of Linguistic Norms.” Journal of Digital Communication Studies, vol. 14, no. 2, 2023, pp. 1–12.

First Draft

AI tools like ChatGPT are becoming a part of everyone’s days. People use them for school essays, work emails, and even casual conversations. At first, these tools were trained from how humans talk and write. But now people are starting to copy them instead. This makes me question how language might change in the future? While AI like ChatGPT is built from human language, using it too much may cause people to start writing like machines, warning us that “standard” language may soon be shaped by machine norms instead of human creativity.

More and more people use AI to help them write, picking up its writing style, Smith explains that “AI-generated language is influencing the norms of human communications” showing that the flow of influence is changing. Lippi-Green says that people “adjust their language to fit social expectations”, and it shows now, the expectations are increasingly set because of these AIs. Journalist Kevin Roose notes that “people are starting to write the way ChatGPT does; clear and boring.” This shows that humans are beginning to learn from AI, no longer the other way around. If this keeps happening, AI’s tone might be the new “normal” for writing, where sounding machine-like is the same as sounding “professional”.

AI itself doesn’t create a new language, it simply repeats what humans say. Smith found that Ai tools “reproduce the ideology of Standard English as the dominant language.” This shows how AI has inherited the biases already planted in society. Lippi-Green argues that “the standard language myth is a tool used by those in power to maintain authority.” meaning what we call “proper” english is often social control. Roose observes that people trust AI because “its writing feels official and neutral.” but that “neutral” tone hides deep bias. When AI reinforces Standard English, it spreads the limited idea of what “good” writing is.

As people keep using AI, its influence might change what we call “standard” writing. Smith suggests that “continuing to rely on Ai may reestablish human perceptions of fluency.” In other words, the more we use it, the more we start to believe AI is what defines “good” writing. Lippi-Green reminds readers that “language authority always follows social power” and now that power belongs to algorithms and AI companies. Roose writes that AI’s “flat, formal tone is becoming the default of writing.” showing us how human creativity is slowly being replaced by machines. If this continues, AI won’t just reflect our writing, it will control how we think language should sound.

AI was made to learn from humans, but now humans are starting to learn from AI. As we use these tools more and more, our writing may lose some of its creativity and personal identity. AI can make writing easier, but it also makes everyone sound the same. Language has always changed over time, but when machines are in control, we risk losing what makes human communication unique. If we are not careful, we might let AI decide not just how we write, but how to completely express ourselves.

Second Draft

Suwaid Hassan

Professor Orwig

English [Topic Section]

11/7/25

How AI Is Rewriting Human Language

AI tools like ChatGPT are becoming part of everyone’s daily lives. People use them for school essays, work emails, and even casual conversations. Originally, these tools were trained using human speech and writing patterns, but now, the influence seems to be reversing. Humans are beginning to copy the language of machines instead. This growing dependence on AI threatens to reshape the way we communicate, warning us that “standard” language may soon be guided by machine norms rather than human creativity.

While AI gives us efficiency, clarity, and correctness, its overuse can flatten expression and limit individuality. More and more people rely on AI to write, gradually picking up its tone and structure. John Smith explains that “AI-generated language is influencing the norms of human communication” (Smith 4). This shows how the direction of influence is shifting, from humans shaping machines to machines shaping humans. Lippi-Green supports this by observing that people “adjust their language to fit social expectations” (Lippi-Green 52), which means if AI sets those expectations, we begin to sound more like it. Kevin Roose notes that “people are starting to write the way ChatGPT does: clear and boring” (Roose). These examples reveal how humans are beginning to learn from AI rather than the other way around.

However, AI doesn’t create language—it mirrors and amplifies what already exists. Smith observes that AI tools “reproduce the ideology of Standard English as the dominant language” (Smith 6), showing that AI inherits and spreads the same biases built into our systems. Lippi-Green argues that “the standard language myth is a tool used by those in power to maintain authority” (Lippi-Green 60). This means the idea of proper English has always been connected to social control. AI systems, trained on the internet’s data, unknowingly reinforce these norms. Roose writes that people trust AI because “its writing feels official and neutral,” yet that “neutral” tone hides deep bias (Roose). What seems like objective writing is actually a copy of socially dominant voices.

The danger is not only that humans imitate AI, but that AI defines what “good” writing looks like. As people continue to use AI, their sense of language changes. Smith suggests that “continuing to rely on AI may reestablish human perceptions of fluency” (Smith 8). The more people use AI, the more they see its output as the standard. Lippi-Green reminds readers that “language authority always follows social power” (Lippi-Green 65), and in this digital age, that power increasingly belongs to algorithms and AI corporations. Roose adds that AI’s “flat, formal tone is becoming the default of writing” (Roose). This means the creative and emotional elements of human language risk being replaced by machine precision. What was once a human art form could become an automated process, taken from its individuality.

Some might argue that AI simply improves efficiency and helps people express themselves more clearly. While this is true, the cost is often difficult to describe: people lose their natural rhythm, voice, and creativity. Smith points out that “AI tools prioritize clarity over complexity,” leading to what he calls “linguistic homogeneity” (Smith 9). Lippi-Green echoes this concern, writing that “variation is the essence of human communication” (Lippi-Green 70), warning that when variation disappears, so does culture. AI writing is clean but lifeless: it communicates information. As this becomes the standard, newer generations might begin to think that writing with personality is unprofessional. This issue goes beyond writing. It affects how we think. The words we use shape how we see the world. If AI teaches us to use its patterns, we might start thinking like it too, structured, efficient, but limited. Roose argues that “the danger of AI isn’t that it will outthink us, but that it will make us stop thinking creatively” (Roose). This is the real risk. When we adopt machine-generated norms, we lose not just the sound of our voices but the ability to express human experience fully.

AI was made to learn from humans, but now humans are starting to learn from AI. As we use these tools more and more, our writing may lose some of its creativity and personal identity. AI can make writing easier, but it also makes everyone sound the same. Language has always changed over time, but when machines are in control, we risk losing what makes human communication unique. If we are not careful, we might let AI decide not just how we write, but how to completely express ourselves. We must treat AI as a tool, not a teacher. The moment we let machines define our language, we surrender our humanity. AI may be efficient, but human expression: messy, emotional, and imperfect, is what truly gives language meaning, what gives us meaning.

Works Cited

Lippi-Green, Rosina. English with an Accent: Language, Ideology, and Discrimination in the United States. Routledge, 2012.

Roose, Kevin. “How ChatGPT Is Changing the Way We Write.” The New York Times, 2023

Smith, John. “Artificial Intelligence and the Future of Linguistic Norms.” Journal of Digital Communication Studies, vol. 14, no. 2, 2023, pp. 1–12.