AI is already part of student life.
Young people use it to research, organise ideas, improve writing, solve problems and work more efficiently. That doesn’t mean they’re comfortable with everything AI represents.
During the 2026 university graduation season in the United States, speeches celebrating artificial intelligence were met with audible opposition from students at several ceremonies. Former Google CEO Eric Schmidt was booed while discussing AI at the University of Arizona.
The reaction wasn’t necessarily a rejection of technology itself. It reflected anxiety about employment, fairness and a future in which graduates are being told to embrace the same systems they fear may reduce their opportunities.
That tension matters for universities, employers and brands trying to build genuine relationships with younger audiences.
Using AI doesn’t automatically mean trusting it
A student may use AI every day and still dislike a university replacing human guidance with a chatbot. They may use it to help structure an application while resenting an employer that fills its recruitment campaign with synthetic people.
They may enjoy experimenting with image generation but question a brand that uses it primarily to replace photographers, illustrators, writers or other creatives.
That isn’t hypocrisy. People regularly use systems while questioning how powerful organisations deploy them.
Research into student attitudes has found a similarly complicated picture. Students recognise benefits including study support, brainstorming, feedback and access to information, while also expressing concerns about accuracy, privacy, ethics, career prospects and the effect on personal development.
The issue isn’t simply whether AI was used. It’s what the organisation used it for, what it replaced and whether the audience was treated honestly.
The reputational risk sits in the trade-off
For brands, the temptation is obvious. AI can make communication quicker and cheaper. It can increase output and help small teams do more.
But efficiency has a visible trade-off when the work starts to feel automated, synthetic or disconnected from real human experience.
A university using AI to make information easier to access may be helping students. A university using artificial student imagery while talking about belonging may create the opposite impression.
An early-careers employer using AI to answer routine questions could be useful. Using it to remove every meaningful human contact point may suggest that efficiency matters more than candidates.
A brand using AI to explore ideas behind the scenes may face little resistance. Passing synthetic people or experiences off as real is more likely to damage trust.
The safest principle may be this:
Use AI to support human value, not to disguise its removal.
Gen Z isn’t one audience with one opinion. Some will enthusiastically embrace the technology. Others will resist it. Most will probably sit somewhere between those positions.
Brands don’t need to decide whether a generation is for or against AI. They need to show that they understand the human consequences of how they use it.
