Students’ AI-writing ambivalence reflects deeper tensions in neoliberal education systems and algorithmic deskilling
Original framing: “Survey reveals students' mixed feelings about writing with artificial intelligence” — Phys.org
By 2030, AI could automate 30-50% of routine writing tasks in higher education, potentially deskilling entire cohorts of students while creating a new underclass of 'prompt engineers' who lack foundational literacy. Scenario planning must account for the bifurcation of education: elite institutions will use AI to personalise learning, while underfunded schools rely on it to cut costs, exacerbating inequality. The survey’s ambivalence may foreshadow a future where students are caught between algorithmic efficiency and the collapse of critical thinking.
The survey’s ambivalence reflects a deeper crisis in education: the collision of neoliberal austerity, corporate ed-tech expansion, and the erosion of writing as a public good.
While students intuitively grasp the risks of deskilling, the framing obscures how universities and tech firms have outsourced the labour of teaching to algorithms, much as they once outsourced grading to adjuncts. The historical parallel to calculator debates reveals a pattern where institutions adopt tools not for pedagogical progress but to cut costs, leaving students to navigate the fallout. Cross-culturally, this crisis is not universal—Indigenous and Global South traditions treat writing as relational, not transactional, offering alternatives to the AI-individualism nexus. The path forward requires reclaiming writing as a communal act, regulating AI as a public utility, and centering the voices of those most affected by its harms, lest we sleepwalk into an education system where the only skill left to lose is the ability to question the tools we use.