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How artificial intelligence is rewriting literature and news

01.07.2025

The article "How AI is changing literature and journalism" for the website Chitalnya.ru explores the transformative influence of artificial intelligence on the writing professions. It presents a nuanced perspective on how machine learning and language models are reshaping the creative process, streamlining workflows, and altering the very definition of authorship in both journalism and literature. While the piece acknowledges the disruptive potential of AI-generated content, it also emphasizes the indispensable role of human insight, emotion, and originality in the creation of meaningful narratives.

AI: From assistant to author

Initially, AI served as a supplementary tool for writers—correcting grammar, suggesting synonyms, or auto-completing sentences. But with the advent of large language models like GPT, Claude, and others, artificial intelligence has progressed far beyond basic assistance. It now generates entire essays, news stories, marketing slogans, and even fiction with minimal human input. This shift has made it possible for professionals across the writing spectrum to delegate substantial portions of their work to AI systems.

In journalism, AI is used for transcribing interviews, drafting articles, creating headlines, and organizing notes. Writers benefit from enhanced productivity and faster turnaround times. In literary domains, AI helps with outlining novels, brainstorming plot twists, or providing stylistic suggestions. The article notes that even large entertainment platforms, including streaming services and publishing conglomerates, are now experimenting with AI to help develop initial story drafts and character concepts.

The efficiency paradox

One of the key points raised in the article is the paradox of efficiency. On one hand, AI drastically reduces the time and resources required to produce content. It automates repetitive tasks, handles mundane textual operations, and allows creators to focus on the strategic or emotional aspects of their work. On the other hand, this same efficiency enables the mass production of low-effort, AI-generated texts that flood digital platforms with generic or formulaic content.

This has particularly affected online journalism and self-publishing platforms, where algorithms are used to churn out hundreds of articles or ebooks per day. As a result, human writers—especially freelancers and early-career journalists—face decreasing demand for their services. Many companies prefer to rely on AI for basic reporting and use humans only for fact-checking or editing. The article underscores that this trend risks commodifying writing itself, reducing it to an algorithmic product devoid of personality.

Information pollution and credibility concerns

The widespread adoption of AI in content creation raises serious questions about quality and authenticity. The article draws attention to a growing issue: informational noise. As digital ecosystems become saturated with AI-written material, distinguishing between well-researched journalism and superficial auto-generated text becomes harder for readers.

More critically, the piece addresses the phenomenon of "AI hallucinations"—instances when language models generate convincing yet entirely false information. These errors can lead to reputational damage for media outlets and misinformation among audiences. For example, AI may invent quotes, misattribute statements, or fabricate references, all while sounding perfectly credible.

Because of this, writers, editors, and publishers must act not only as content creators but also as verifiers and gatekeepers. AI might be able to produce text, but it cannot consistently guarantee truthfulness, ethical framing, or context sensitivity. These responsibilities still rest firmly with human professionals.

Human touch: Irreplaceable depth and voice

Despite the capabilities of artificial intelligence, the article insists that human creativity remains central to meaningful storytelling. Emotional nuance, unique voice, cultural context, and moral interpretation are elements that machines cannot replicate authentically. Literature and journalism are not merely collections of facts and grammar—they are human experiences translated into language.

Great writing often reflects internal conflict, societal observation, or deep empathy—qualities that AI lacks by its nature. While an algorithm can mimic patterns in language, it cannot live experiences, form opinions, or grapple with ambiguity in the way a person does. Thus, while AI may excel at summarizing events or generating stylistic imitations, it falls short when tasked with producing truly original or emotionally resonant narratives.

The article suggests that the most sustainable model for the future of writing is a hybrid one: human–AI collaboration. Writers who embrace AI as a tool rather than a threat can unlock new possibilities for experimentation and productivity. This synergy allows professionals to spend less time on mechanical tasks and more on crafting stories that genuinely matter.

Case studies and practical uses

Throughout the article, several examples of AI use in professional writing environments are cited. Journalists reportedly use AI to generate multiple headline variations, later testing their effectiveness through A/B testing methods. This helps determine which titles attract more clicks or engagement without requiring extra time from the writer.

Similarly, fiction authors utilize AI to draft dialogue, experiment with character arcs, or simulate different storytelling styles. This can significantly accelerate the outlining and revision phases of novel writing. In the field of translation, AI tools like DeepL have proven effective at producing first drafts, allowing human translators to focus on tone, cultural references, and subject-specific terminology.

Moreover, corporate communication departments are training AI models on internal documentation and industry jargon to maintain consistency across large volumes of content. This tailored use of AI helps ensure clarity while reducing the burden on human writers.

Redefining roles, not eliminating them

The piece stresses that AI is not replacing writers—it is reshaping what it means to be one. As in other fields affected by automation, success now depends on adaptability and continuous learning. Writers who understand how to work alongside AI—prompting it, editing its output, and refining it—are likely to remain in demand. Those resistant to change may find it harder to compete in a landscape where speed and scalability are key factors.

Still, the article also cautions against blind adoption. Ethical concerns, data privacy issues, and algorithmic bias must be taken seriously. Moreover, there is a need for clear labeling of AI-generated content to maintain transparency with readers.

Ultimately, the future of literature and journalism lies not in choosing between AI and humans, but in combining the strengths of both. Writers bring critical thinking, emotional depth, and contextual awareness. AI contributes speed, breadth, and mechanical accuracy. Together, they can redefine storytelling for a digital age—provided that human judgment remains at the center of the creative process.