Gen Z graduates turn on AI hype

A protester holding an anti-AI sign turned up outside a federal courthouse as OpenAI’s lawyer William Savitt spoke to reporters, a small scene that Business Insider uses to capture a larger mood shift among new graduates. According to the outlet, some commencement speakers have been booed for offering upbeat advice about adapting to artificial intelligence. Surveys cited in the report suggest a decline in excitement about AI among parts of Generation Z, alongside rising anger and anxiety about what the technology means for work.

The backlash is arriving at a moment when AI is no longer a speculative product demo but a procurement line item. Employers can buy software that drafts text, writes code, summarises documents, and answers customer queries, while graduates are still being told to “learn AI” as if the tool itself guarantees employability. The report describes how this anxiety is showing up culturally as well, with some young people gravitating toward older technology and analog methods—less as nostalgia than as a way to reclaim control over attention, output, and identity in environments increasingly mediated by automated systems.

What makes the shift consequential is not that students are sceptical—graduates have always been sceptical—but that the institutions selling reassurance are also the ones reshaping the labour market. Universities market “future-proof” degrees while employers quietly rewrite entry-level roles around automation. Tech companies promote safety frameworks and productivity benefits while the practical experience for many jobseekers is a more crowded application funnel, faster screening, and fewer chances to demonstrate competence in person. When AI is framed as inevitable, the costs of adjustment fall on individuals: they are expected to retrain, rebrand, and accept the risk that the promised new jobs arrive later, or not at all.

Business Insider’s reporting also points to a second tension: the same systems that are pitched as empowering individuals can reduce the space for individual discretion. If hiring, evaluation, and workplace output are increasingly standardised by tools that optimise for speed and scale, the margin for doing work differently shrinks. That helps large organisations that can integrate new software quickly, while smaller firms and workers without institutional backing face a moving target.

The courthouse protest was a few seconds of cardboard and ink. It happened outside a building where the future of one of the world’s most influential AI labs is being argued in legal filings rather than in lecture halls.