Why the Class of 2026 Booed Every AI Speech This Spring

On May 8, inside the University of Central Florida’s Addition Financial Arena, Gloria Caulfield, vice president of strategic alliances at Tavistock Development Company, told a room full of humanities and communications graduates that artificial intelligence was “the next industrial revolution.” The boos started almost immediately. Caulfield spun toward the other speakers on stage and asked, out loud, “What happened?”

That was the opening act. Over the following nine days, at four separate ceremonies spread across Florida, Tennessee, and Arizona, the Class of 2026 delivered the same verdict on the technology their schools, employers, and commencement speakers have been promoting since generative AI went mainstream in late 2022. The pattern deserves close attention, because the graduates in those arenas are the same people the industry needs to adopt, trust, and eventually build on top of its AI platforms.

Four Ceremonies, One Running Verdict

The incidents were not clustered at one type of school or one part of the country. Each added a different detail to the same underlying picture.

• May 8, University of Central Florida: Caulfield called AI “the next industrial revolution” before an audience of arts and humanities graduates. Sustained booing followed; one graduate yelled “AI sucks” clearly enough to register on the university’s own livestream. When Caulfield then noted that “only a few years ago, AI was not a factor in our lives,” the same crowd erupted in applause.
• May 9, Middle Tennessee State University: Scott Borchetta, chief executive of Big Machine Records and the executive who first signed Taylor Swift to a label deal, told graduating students that AI was “rewriting production as we sit here.” When the boos came, Borchetta responded, “Deal with it. Like I said, it’s a tool.” The crowd did not take the advice quietly.
• May 16, University of Arizona: Eric Schmidt, who served as Google’s chief executive from 2001 to 2011, became the most prominent name on the receiving end of the season’s dissent. His remarks on AI and technological transformation drew sustained boos that interrupted his speech at multiple points.
• May 16, Glendale Community College, Phoenix: The college deployed an AI announcer to read graduates’ names as they crossed the stage. The software mispronounced and misordered several names, forcing administrators to stop the ceremony entirely and restart with a human reader.

Glendale’s episode carries a different charge from the rest. Nobody was booing an executive there. The AI simply failed at its assigned task, in front of the students most skeptical of the technology, on the day those students were receiving their degrees.

What the Polling Already Knew

None of this happened in a vacuum. Pollsters had been tracking the sentiment shift among young Americans for months before the first mortarboard was thrown.

• 22% of Gen Z respondents ages 14 to 29 said AI makes them excited in Gallup’s February 2026 survey of 1,572 young Americans, down from 36% the prior year, a 14-point drop.
• 31% said AI makes them angry, up from 22% in the prior year’s survey, a nine-point rise in twelve months.
• Just 18% said AI makes them feel hopeful, down from 27%, a nine-point decline in hopefulness over the same period.
• 69% of Gen Z workers said they trust work completed entirely by humans, compared to 28% who trust AI-assisted work and just 3% who trust work produced solely by AI.

Gen Z’s actual use of AI tools held steady, with just over half (51%) using it at least weekly, unchanged from the prior survey. What shifted was the emotional register: consistent use accompanied by climbing anger. Zach Hrynowski, senior education researcher at Gallup, said the rising anger may be driven specifically by AI dimming prospects for entry-level workers entering a tightening labor market.

A separate Gallup study, published in April 2026, found that 42% of bachelor’s degree students had already reconsidered their chosen major because of AI, a figure that underscores how far the technology’s shadow had stretched into students’ decisions long before graduation day.

Why Arts Graduates Led the Charge

The most-watched of the three speech incidents took place at a ceremony specifically for arts and humanities graduates. That is not a coincidence. The fields packed into that UCF arena are precisely where generative AI has made its deepest early incursions into entry-level work.

Houda Eletr, a graduate of UCF’s Nicholson School of Communication and Media who joined in the booing, described Caulfield to the Orlando Weekly as a “corporate mouthpiece.” From the perspective of a graduate heading into a media job market reshaped by AI, an address celebrating AI’s promise reads less like inspiration and more like a sales pitch for the technology narrowing her options.

At the University of Arizona, graduate Olivia Malone, bound for law school, put the central contradiction directly to the Associated Press. “We as students are discouraged from using it and penalized for using it,” she said. “And then to have our speaker be the champion of AI is just like, OK? Why?”

More than half of college students report that their institution either discourages or bans AI use in academic work, according to recent survey data, while their future employers are simultaneously listing AI proficiency as a top hiring criterion. Graduates this spring have been graded under one set of rules and then asked to applaud a technology operating under a completely different one.

Schmidt at Arizona: A Lesson in Reading the Room

Of all the executives who faced dissent this season, Schmidt came closest to understanding the moment. He still could not get through the speech without sustained interruption.

Acknowledging the Room

When sustained boos broke through his May 16 address at the University of Arizona, Schmidt stopped and named what was happening around him:

There is a fear in your generation that the future has already been written, that the machines are coming, that the jobs are evaporating, that the climate is breaking, that politics are fractured, and that you are inheriting a mess that you did not create.

He called those fears rational. That concession was unusual; most executives in comparable situations work around the unease in the room rather than articulating it back, point by point, in the audience’s own voice.

Schmidt also made a sharper admission about the technology’s track record than most people in his position volunteer. He acknowledged that the platforms built during his tenure at Google, while connecting people and “democratizing knowledge,” also “degraded the public square,” rewarded outrage, and amplified people’s worst instincts. For a former chief executive of one of the world’s largest technology companies, that is not a standard concession.

The Pivot That Lost Them

The problem arrived in the very next movement. After cataloguing rational fears and admitting to real past harms, he told graduates the future had not yet been written and urged them to help shape where AI goes. “The future is not yet finished. It is now your turn to shape it.” The crowd’s response, across multiple remaining points in his remarks, was not warm.

For graduates entering a labor market already being reshaped on someone else’s terms, an instruction to help steer the technology reads less like empowerment than an invitation to accept disruption quietly. The gap between his clear-eyed enumeration of their fears and his prescription for what to do with those fears was precisely where the goodwill he had briefly built ran out.

There were also grievances in that hall beyond AI. Student groups had organized opposition over a pending sexual assault lawsuit filed by his former partner, per reporting from The College Investor, which added a layer of hostility unrelated to any speech about machine learning. The boos at the University of Arizona were carrying more than one grievance, and he was navigating that room without a map.

The Delta CEO Who Threw Out His AI Draft

Ed Bastian, chief executive of Delta Air Lines, addressed Emory University’s graduating class of more than 5,000 students in Atlanta on May 11. His opening move was different from every other executive in this story.

In preparing the speech, he told the Emory crowd, he had asked AI to write it. The result was quick and easy to produce. But the draft lacked “soul nor warmth,” was not his personal voice, and did not express his genuine appreciation for the occasion. “You want to hear from me, not some algorithm of me,” he said. So he threw it out, picked up pencil and paper, and started over. The applause came when he said so.

Three executives told graduates to accept, adapt to, or get on board with AI and left their respective stages to boos. One admitted he had tried the technology, found it wanting in precisely the dimension these graduates fear it is wanting, chose the human version, and said so plainly. He got applause.

Bastian was not arguing against AI as a business tool. Delta uses it across flight scheduling, maintenance prediction, and customer operations. What he did was validate a specific instinct: that some tasks require something AI cannot reliably produce. The graduates in those four May venues are not wrong to want that acknowledged. They spent four years learning to produce exactly that something themselves.

The Narrative Gap That Graduation Season Exposed

Commencement has a quality no other civic moment replicates: the audience is completely captive. Graduates cannot walk out without disrupting the ceremony and disappointing their families. The only release valve is noise. Booing is the voice of an audience with no other option but to sit, so it stops sitting quietly.

That structural dynamic amplified the visible backlash, but it did not manufacture the sentiment beneath it. Anger about AI among young Americans aged 14 to 29 had already climbed nine points in a single year before graduation season began, while excitement had fallen 14 points to 22% and hopefulness had dropped to just 18%, per Gallup’s research published in April 2026. Between 2023 and 2025, LinkedIn added more than 639,000 AI-related job postings in the United States, per the company’s own data, with the fastest-growing title being AI engineer. The opportunity is not absent. What is absent is a credible on-ramp for graduates whose entry-level positions are contracting while the senior and technical roles expand, and whose schools told them not to use the technology their employers now demand they know.

If next May’s commencement speakers arrive with a more honest accounting of what they are asking graduates to navigate, the graduation circuit will look different. If they show up with the same instructions to get on board and figure it out, they should read the Delta CEO’s Emory speech first. He drafted it twice. The second version was the one that got applause.