Professor Warns AI’s ‘Cheap Tricks’ Are Undermining Academic Writing and Human Judgment
A Professor’s Lament on the Rise of AI in Scholarship
A new essay in Commonweal Magazine lays bare the deepening unease among educators as generative artificial intelligence seeps further into academic writing. Penned by a professor whose name has not been disclosed in the excerpt, the commentary condemns what the author calls the “ingression” of AI into a realm that once demanded original thought, careful reasoning, and personal voice.
“As a professor, the ingression of artificial intelligence into academic writing troubles me. But nothing depresses me quite like the AI takeover of…”
The piece frames AI-generated or AI-assisted prose as a series of “cheap tricks”—superficially competent but ultimately hollow imitations that threaten to flatten intellectual rigor and erode trust in the written word. Far from focusing solely on technical accuracy or the risk of fabricated citations, the author argues that the greater crisis is a loss of human intellect, style, and moral responsibility in scholarly communication.
The Heart of the Concern
At the core of the professor’s argument is a distinction that many in higher education are now grappling with: where is the line between AI as a productivity tool and AI as a substitute for genuine academic thought? The essay suggests that while AI might help a researcher summarize literature or polish grammar, leaning on it to produce entire arguments or narrative structures robs writing of the very cognitive labor that gives scholarship its value. The result, the author contends, is prose that can mimic quality without ever achieving real insight—a “cheap trick” that deceives readers and cheats students of their own intellectual development.
Although the full Commonweal piece is not publicly available, the editor’s brief indicates that the author provides concrete examples of how AI has infiltrated academic forms, including student essays, conference posters, and other modes of scholarly communication. These examples appear to illustrate a creeping normalization of AI outputs that bypasses the messy, rigorous, and deeply human process of thinking through a problem.
A Broader Debate on AI in Knowledge Work
The essay lands at a moment when universities, publishers, and research institutions worldwide are scrambling to create policies around generative AI. The United Nations Educational, Scientific and Cultural Organization (UNESCO) has urged the education sector to approach AI tools with caution, emphasizing the need to preserve human agency and critical thinking. In the United States, the Department of Education’s Office of Educational Technology has similarly highlighted the importance of keeping human judgment at the center of any AI-assisted learning or writing process.
Yet the professor’s lament goes beyond policy recommendations. It speaks to a creeping culture in which the convenience of automatically generated text is beginning to outweigh the discomfort of struggling with a blank page—a struggle many educators view as essential to intellectual growth. By framing the issue as one of “cheap tricks,” the author evokes the image of a magic show: something that dazzles on the surface but collapses under scrutiny.
Implications for Students, Faculty, and Publishers
If AI-written or heavily AI-augmented work becomes accepted in academic spaces, the essay warns, the very definition of authorship could shift. Students might graduate without ever learning how to structure an original argument; researchers might publish findings couched in AI-generated language that obscures gaps in logic; and the trust that underpins peer review and scholarly discourse could erode. The professor’s voice joins a chorus of academics who insist that writing is not merely a container for information—it is a method of thinking. Outsourcing that method to a machine, the argument goes, is a shortcut that costs more than it saves.
The essay does not call for a blanket rejection of AI. Instead, it draws a careful line between assistance and substitution. Using AI to fix a comma splice or to suggest a clearer phrasing is qualitatively different from asking it to generate an entire thesis or craft the narrative arc of a research paper. The trouble arises when the latter becomes routine, and when institutions fail to distinguish between the two.
Looking Ahead
Commonweal Magazine’s decision to publish such a pointed critique signals that the conversation around AI in the humanities is far from settled. As generative models become more sophisticated, the pressure to deploy them in writing-intensive fields will only grow. The professor’s essay serves as a cultural checkpoint—a reminder that the push for efficiency should not come at the expense of the very human acts of reflection, struggle, and intellectual daring that define meaningful scholarship.
Educators, students, and publishers now face a tough question: in a world where AI can produce passable prose at the click of a button, what will we value more—the effortless polish of a machine, or the flawed but deeply human effort that leads to genuine understanding? For the professor behind the essay, the answer is clear, and the “cheap tricks” of AI are no substitute for the real thing.
