The moment the former Google CEO mentioned AI, hundreds of graduates chose to boo rather than applaud. In May 2025, Eric Schmidt took the commencement stage intending to talk about the possibilities a new technology would open up. For the graduates seated in front of him, AI was — before it was an opportunity — a word that threatened four years of tuition and job preparation all at once. That scene laid bare just how wide the gap is between the market Schmidt sees and the market those graduates actually live in.
Boos at a Commencement: What Happened That Day
The ceremony where Schmidt appeared took place in May 2025. The former Google chief executive now invests in and advises a number of AI startups. When his speech turned to the rise of AI and the opportunities it would create, the graduates' reaction was immediate. Outlets including the BBC covered the moment, and the video spread quickly.
There is a backstory to that reaction. Starting in the second half of 2024, major US tech companies cut back on new hiring while ramping up investment in AI automation. While Google, Meta, and Microsoft all held full-time hiring flat or reduced it, their spending on AI-related infrastructure more than doubled. The tasks new college graduates have traditionally handled — gathering research, drafting documents, cleaning up data — are the first to feel the effects of automation. The anxiety graduates feel is not an abstract worry about the future. It is a read on reality that comes from checking, right now, how many job postings are actually open.
The same pattern is visible in the Korean market. The mass open-recruitment rounds at major conglomerates — long the standard entry point for new graduates in Korea — keep shrinking, while smaller companies and startups adopting AI tools find that each employee can handle a larger workload. Situations are genuinely emerging where, from a cost standpoint, having existing staff do more with AI looks more attractive than hiring and training someone new.
Schmidt Was Right — It Just Wasn't the Place to Say It
There is certainly a view that the booing was an overreaction. The fear that technological innovation destroys jobs has recurred since the Industrial Revolution, and the historical record shows that more new jobs were created than lost. In its 2025 Future of Jobs report, the World Economic Forum projected that AI adoption will create roughly 69 million new jobs by 2030. Roles like AI trainer, prompt strategist, and automation auditor are actually showing up in job postings. Seen in that light, the optimism Schmidt wanted to convey has real grounding.
But that optimism leaves out a crucial condition. The fact that new jobs will be created and the proposition that someone just entering the workforce can land one of them are two entirely different things. Even if 69 million jobs materialize by 2030, that number sits too far in the future for someone scrolling through job listings in 2025. And most newly created roles go first to experienced workers or people with advanced skills. Historical optimism operates on a ten-to-twenty-year horizon; the graduates' anxiety is about the next six months. Bring two stories on different time scales to the same podium and you get a collision. Schmidt's words weren't wrong in themselves — but there are circumstances in which people can hear them, and settings in which they are ready to. That commencement was neither.
What Recruiters Actually Look For Has Changed
For job seekers in Korea, junior product managers, and people just setting out as solo business owners, this scene poses one question. Feeling anxious and knowing where to direct that anxiety are different things. The anxiety behind those boos was pointed in exactly the right direction. The problem is what comes next.
Look closely at the hiring market and you'll find that recruiters' criteria have quietly shifted. Entry-level hiring used to ask one question: is this person trainable? Now a second one has been added: can this person judge the output of AI tools? This is not something you solve by adding one more AI certificate to your résumé. What hiring teams actually want to see is less the experience of having used the tools than the ability to point to exactly which parts of a tool's output cannot be trusted.
Consider the difference between someone who submits an AI-generated market analysis as-is and someone who first flags which of the report's assumptions were never verified, then revises it. They leave very different impressions in a selection process. We are in an era where the judgment to independently verify the reliability of output has become scarcer than the skill of crafting good prompts. And this ability is hard to pick up from an AI course. Only people who have actually used AI tools, run into flawed output, and fixed it themselves end up with it.
Experts who have long studied how hiring really works point to another shift: a gap has opened between the qualifications listed in job postings and the criteria actually applied during selection. Postings often still don't list AI proficiency as a requirement. But take-home assignments and interviews are already evaluating it. The people who spot this gap between official requirements and actual evaluation first end up building an entirely different application strategy — how they word their application, which items they emphasize in a portfolio, the order in which they bring up experiences in an interview.
The same logic applies to solo entrepreneurs and freelancers. It takes a clear-eyed audit of whether clients come to you for work that is genuinely hard for AI to handle, or for work AI can already do faster and cheaper. Re-examining your own position this way is an uncomfortable exercise — and also the most practical place to start.
The graduates who booed Schmidt are probably each dealing with that anxiety in their own way by now. Some are adding certifications to LinkedIn one by one; others still have no idea where to begin. The dividing line is not the size of the anxiety. It is whether you have figured out the criteria by which recruiters actually judge people before everyone else does. The boos weren't really aimed at one billionaire. They were aimed at the fact that no one was telling these graduates, accurately, how the market they were about to enter actually works.
