Why the Class of 2026 Is Booing AI and Turning on Tech's Biggest Names

The Class of 2026 has found a new graduation tradition, and it is loud. As The Verge reported, commencement speakers who told this year's graduates to embrace artificial intelligence were repeatedly drowned out by boos, with the backlash reaching all the way to a former Google chief executive. The core reason is simple. These graduates are walking into a job market they feel AI is quietly closing, and they are no longer willing to clap politely while powerful people tell them it is all opportunity. At Metaintro, we track how the labor market actually shifts under new graduates so you can read the signal instead of the speech, the same way we mapped why UK students took to unrest over AI job-loss fears in 2026. Here is who got booed, why the anger is grounded in real data, and exactly what new grads should do about it.

Which Tech Names Actually Got Booed?

The most prominent target was Eric Schmidt, the former chief executive of Google, who spoke at the University of Arizona in mid-May. According to Axios, the booing intensified when Schmidt leaned into a familiar Silicon Valley pitch, telling graduates, "When someone offers you a seat on the rocket ship, you do not ask which seat, you just get on." For a crowd that feels the rocket ship is leaving without them, the line landed as tone-deaf rather than inspiring. Schmidt is one of the most powerful figures in the history of the technology that graduates blame for their narrowing options, which made him the perfect lightning rod for a room full of frustration.

Schmidt was not alone. At the University of Central Florida, real estate executive Gloria Caulfield described AI as "the next industrial revolution" and was promptly jeered, replying "Okay, I struck a chord". At Middle Tennessee State University, music executive Scott Borchetta told graduates "AI is rewriting production as we sit here," then doubled down when the jeers came, saying "deal with it" and later "you can hear me now, or you can pay me later," per Gizmodo.

What stands out is how little the campuses had in common. A flagship state research university, a regional public school, and an arts-heavy crowd all reacted the same way, which tells you the mood is national rather than the quirk of one student body. The speakers also shared a tell. Each of them treated AI as a settled fact the audience simply needed to accept, and each met resistance the moment they did. The reaction was not really about the technology. It was about being lectured by people the graduates see as the winners of a system that is leaving them behind.

Why Are Graduates So Angry About AI?

The anger is not vague cultural mood. It is anchored in hard numbers. An Axios Harris Poll released in May 2026 found that 42 percent of Gen Z believe AI will harm job opportunities and wages for people like them, compared with 33 percent of millennials, 39 percent of Gen X, and 37 percent of baby boomers. The generation closest to entering the workforce is also the single most convinced the technology will cost them, which is a striking inversion of the usual pattern where younger people greet new tech with the most optimism.

That fear is hardening fast. A Gallup survey reported by Axios found that the share of Gen Z who say AI makes them excited fell from 36 percent to 22 percent in a single year, while the share who feel anger rose from 22 percent to 31 percent and those who feel hopeful dropped from 27 percent to 18 percent. When excitement nearly halves and anger climbs by almost half in twelve months, a commencement stage becomes the obvious place to let it out, because it is one of the few moments when this generation has a captive microphone pointed the other way.

We unpacked the broader mood in our look at why some say AI is making Gen Z dumber in 2026, and the frustration on these stages is the same current surfacing in public rather than a separate phenomenon. The deeper driver is timing. This is the first cohort to graduate into a labor market where AI is already embedded in hiring, screening, and the entry-level work that used to be the on-ramp. For them, the technology is not a far-off promise to feel hopeful about. It is the thing standing between them and the first job.

Is the Fear Backed by Real Job Market Data?

Partly, and that is what makes the boos hard to dismiss as overreaction. Entry-level hiring has been the soft spot in this labor market for months. Our reporting on teen summer hiring tracking the worst year on record per Challenger data showed the bottom rungs of the job ladder thinning at the exact moment this cohort needs them most. New graduates are not imagining a tighter door. They are competing for fewer openings than the class before them, and the broader picture has not helped, with our coverage of the May 2026 PMI pointing to slowing US hiring and rising job cuts showing the squeeze is not limited to summer or to teenagers.

The role of AI in that squeeze is real but more tangled than the headlines suggest. We have covered how 85 percent of workers cannot yet connect their AI training to their actual job, and the bigger structural risk is a global gap between AI ambition and workforce readiness in 2026. Graduates sense that companies are betting on AI faster than they are building the on-ramps for human workers, and that mismatch is exactly what fuels the resentment on stage.

It is one thing to be told a technology will lift everyone. It is another to watch it arrive while the entry-level jobs that used to teach you the work quietly disappear. The honest reading of the data is that AI is not erasing careers wholesale, but it is reshaping the first rung, slowing some hiring, and raising the bar for what a new hire is expected to do on day one. That is enough to justify the worry, even if the doomsday framing goes too far. Graduates who understand that nuance can act on it instead of freezing.

Did Any Speaker Avoid the Boos?

Yes, and the contrast is the most useful part of the whole story. When Nvidia chief executive Jensen Huang addressed Carnegie Mellon's class of 2026, he drew no audible pushback for his AI message. As the NVIDIA blog recounts, Huang told graduates "The answer is not to fear the future. The answer is to guide it wisely, build it responsibly and ensure that its benefits reach as many people as possible."

The difference was not the topic but the framing. Huang spoke to a technical audience and offered them agency rather than a command to simply get on board. The booed speakers told graduates that change was inevitable and that resistance was futile, which to an anxious twenty-two-year-old sounds less like advice and more like a shrug. Huang told them they could shape the technology and share in its benefits.

For a generation that feels acted upon by AI, that distinction is everything, and it points directly at how new grads can reclaim some control over their own careers instead of waiting to be reassured. The takeaway is not that graduates only want flattery. It is that they respond to being treated as participants who can influence the outcome rather than passengers who should be grateful for the ride. Any career advice that lands with this cohort has to start from that same respect.

What Should New Grads Do About AI Right Now?

This is the part that matters more than any boo. The graduates who thrive will not be the ones who refuse AI or the ones who blindly embrace it. They will be the ones who learn to direct it. Here is a practical playbook for the Class of 2026 entering a cooling market.

First, get genuinely fluent with at least one AI tool in your field, then prove it. Do not just use it to draft emails. Use it to do real work faster, and write down the hours you saved and the output you improved. Those concrete numbers belong on your resume and in every interview, because they turn a vague skill into evidence an employer can weigh. Our guide to the human skills AI cannot replace and how to build them shows where to pair that AI fluency with judgment, communication, and creativity that machines still struggle to match. The most valuable new hire is not the one who knows only AI or only the craft. It is the one who can point the tool at the right problem and then sense-check what comes back.

Second, aim at the roles that are opening, not the ones being quietly phased out. Routine, repetitive, rules-based work is the most exposed, while judgment-heavy and relationship-heavy roles hold up better. Read where the hiring is actually heading rather than where it used to be, and let that steer your applications. Third, treat your first paycheck and first city as strategic choices rather than afterthoughts. Our breakdown of the best and worst US cities to start a career in 2026 and our three money moves for a 2026 graduate's first paycheck can keep an early decision from quietly costing you for years.

Fourth, study how the people who actually built AI talk to workers, because the calm voices carry better advice than the booed ones. We summarized what DeepMind's Demis Hassabis tells workers worried about AI, and the throughline is the same as Huang's. Guide the tool, do not surrender to it. Fifth, keep applying with discipline even when the volume feels brutal, because the recruiting math of 300 applications per role means targeting and persistence beat luck, and a sharper application beats a hundred generic ones.

Sixth, treat every interview as a chance to show range, not just answers, because turning a strong conversation into an offer is its own skill, as we lay out in our guide on how to turn a great 2026 interview into a job offer. The boos are a healthy sign that this generation refuses to be passive. The next step is converting that energy into leverage rather than spending it on the stage. None of these moves require a computer-science degree or a love of the technology. They require treating AI as a tool you control, gathering proof that you can, and pointing yourself at the work that is genuinely growing.

Are Older Workers Handling This Differently?

They are, and new grads can borrow from it. Older workers tend to treat AI as one more tool to absorb into a long career rather than an identity threat, which is part of why the same poll showed far lower fear among them. We have written about the upskilling edge older workers can build with AI, and the mindset translates cleanly to a first job. Curiosity beats either panic or blind enthusiasm, because the person who calmly experiments with a tool learns its limits faster than the person who either avoids it or worships it.

The other lesson from across generations is that this is a shared problem, not a young-person problem. Closing the gap takes coordination, which is why we covered how employers and educators can close the skills gap together. Graduates booing AI on stage and executives spending billions on it are arguing about the same unanswered question, which is who gets carried forward by this technology and who gets left behind.

There is also useful perspective in looking backward. Our piece on what 1991 graduates would tell the 2026 graduate job market is a reminder that every cohort has walked into a scary economy and found a way through, often by adapting to the very shift that frightened them. The graduates who answer the question for themselves, by building real skills and targeting real openings, will not have to wait for a commencement speaker to promise them it will all be fine. The boos were the easy part. The harder and more rewarding work starts the morning after the ceremony.