Is AI going to be the reply to all the things?
That appears to be the proposition of many graduation audio system at US universities this commencement season. Graduating college students, nonetheless, haven’t at all times welcomed the message. At ceremony after ceremony, they’ve responded with boos and jeers.
Their response just isn’t arduous to grasp. College students are leaving college at a time when AI is being promoted not solely as a instrument they need to study to make use of, however as a power which will remodel the labour market they’re about to enter. But the problem goes past jobs. Universities are additionally being inspired to remake themselves round AI, adopting it as an answer to finances pressures, administrative burdens and the calls for of employers.
That is the place the true hazard lies. Within the “age of AI”, universities danger changing into victims of their very own uncritical embrace of the know-how, particularly at a time of deep monetary pressure. Trade stakeholders have strongly inspired them to maneuver on this course.
A current paper sponsored by Cisco, the US networking and know-how large, claimed that “forward-thinking establishments view AI as an answer to their useful resource constraints”, including that “AI can automate routine duties, enhance pupil companies and assist universities function extra effectively”. It additionally insisted that universities should embrace their “position as provide chains for AI-related abilities”, explaining that “college students getting into the workforce anticipate AI integration, and employers more and more demand AI literacy”.
This can be a revealing option to speak about larger schooling. Universities are being informed to see AI not solely as a instrument, however as an organising precept: their college students imagined as future employees in want of AI literacy, their employees inspired to streamline their labour, their establishments remade to be extra environment friendly, extra automated and extra carefully aligned with the labour market.
A number of have accepted this logic. The College of Minnesota, Dartmouth School and Syracuse College have all signed offers with AI corporations. In 2025, California State College (CSU) reached a $17m take care of OpenAI to offer the corporate’s “education-focused” chatbot to its greater than half one million college students and school.
Surveys present that many CSU college and college students will not be satisfied by “AI’s dazzling guarantees”. But that scepticism didn’t forestall the settlement from being handled as a landmark. For OpenAI, signing up the biggest public college system in america was proof of idea that AI could possibly be embedded throughout larger schooling at scale. For CSU, it was a “large branding alternative”, since no different college on the planet had adopted AI at this scale. The monetary logic is more durable to observe. Regardless of going through roughly $144m in finances cuts, CSU final month renewed the deal on costlier phrases, committing to $13m a 12 months over three years, about $39m in complete, deepening its wager on AI on the very second it was reducing elsewhere.
What occurs when universities start to deal with extra of their work as one thing to be automated, outsourced or made cheaper by means of AI? We noticed a small however telling instance on the commencement ceremony at Glendale Group School (GCC) in Arizona. The school’s management used an AI system to learn the names of graduating college students as they acquired their diplomas. The system was unable to match the right names to the scholars strolling throughout the stage, and the title on the jumbotron didn’t match the scholar receiving the diploma.
GCC President Tiffany Hernandez was booed by graduating college students and their households when she defined what was taking place. “Yep, yep. So that may be a lesson realized for us,” she mentioned. One graduating pupil informed media shops that Hernandez’s apology “didn’t really feel honest and it kinda felt like they didn’t care”, including: “I’d have appreciated somewhat extra thought to have gone into it moderately than pushing one thing so simple as studying some names off to an AI machine.”
The issue turns into extra severe nonetheless when AI strikes from administration into instructing and evaluation. Supporters argue that AI can ease administrative burdens, lower prices and, in time, get higher at designing courses, marking work and summarising tough texts. However these guarantees sit alongside considerations about privateness, bias and accountability, in addition to a more durable query: if a lot of college life is to be streamlined and automatic, what stays of the ecosystem of studying and mentorship on which these establishments rely?
The proof on evaluation is sobering. A College of Cambridge-led staff examined three “frontier” methods and located that AI routinely undervalues “work awarded prime marks by people, or [overvalues] essays ranked among the many lowest”. In contrast to human examiners, all of the methods have been “oversensitive to linguistic options”: handing out larger marks for essay size, vocabulary vary and sentence complexity, which are sometimes unrelated to educational requirements.
Deborah Talmi, who led the examine, warned, “Evaluation is not only a system for distributing marks. It’s a part of how instructional that means is made, so college students really feel seen, requirements are upheld, and belief is maintained. Use of AI in evaluation poses a danger to those values.”
That is the guts of the matter. College students attend college not simply to obtain a diploma or grasp a syllabus. Once they enter campus, they need to be seen, their pursuits nurtured, and to be helped in making sense of the world and their place in it. If universities hand extra of this work over to AI, they danger weakening the very relationships and types of judgement that make larger schooling significant. Research have proven that AI utilization can hamper vital considering and weaken the very cognitive abilities college students must make their means on the planet past college.
That is why universities must be cautious of the narrative of the upcoming AI revolution. The loudest voices pushing it are a part of an ecosystem of firms and tech figures which have invested closely within the know-how and its infrastructure.
Valuations have soared, however these investments haven’t but generated the income wanted to justify the hype. Critics warning of an “AI bubble” say its profitability depends upon AI being adopted in all places, in all the things, at an unprecedented tempo. Universities are particularly useful on this undertaking: they provide AI corporations legitimacy, scale and entry to future employees, and could be introduced as proof that AI just isn’t merely speculative however a vital a part of public life. The issue is that they’re now handled as a cog in equipment constructed to generate income for Massive Tech, whereas college students and graduates are made to really feel like pawns within the quest for AI’s monetary viability.
Additionally being undermined is the core perform of the college. Universities weren’t constructed as institutions of monetary effectivity, nor ought to their major function be to provide employees expert solely to serve the labour market. They have been constructed as establishments of instructing and better studying, meant to nurture critical-thinking residents desirous to make the world a greater place.
Which returns us to these graduates and their boos. Their anger might not have been a completely fashioned critique of AI, Massive Tech or the way forward for larger schooling. Nevertheless it captured one thing actual: a refusal to be informed that they need to merely settle for a system that treats them much less as college students to be educated than as employees to be ready, information to be processed, and shoppers to be managed.
Within the “age of AI”, that is the mission of the college that educators, college students and the general public should defend.
The views expressed on this article are the writer’s personal and don’t essentially mirror Al Jazeera’s editorial stance.
