Students Are Booing AI to Its Face — In Real Time

Graduation stage resentment is turning audible.

On May 16, Gloria Caulfield, an executive at real estate firm Tavistock Development Company, told University of Central Florida graduates that "the rise of artificial intelligence is the next industrial revolution" — and got booed. Loudly. Caulfield stopped her speech and asked the audience, "What happened?"

Former Google CEO Eric Schmidt got the same treatment at a University of Arizona commencement on May 16. According to TechCrunch, students were already booing before Schmidt reached the podium — partly over a separate lawsuit in which a former girlfriend accused him of sexual assault (which he denies). The boos hit peak volume when he told graduates, "You will help shape artificial intelligence." Schmidt tried to talk over it. Didn't work.

For contrast: Nvidia CEO Jensen Huang spoke at Carnegie Mellon's commencement and faced no audible pushback when he said AI has "reinvented computing." The pattern isn't universal, but it's spreading.

A recent Gallup poll found only 43% of Americans aged 15 to 34 say it's a good time to find a job locally. That's down from 75% in 2022. Journalist Brian Merchant, a known tech industry critic, described AI as "the cruel new face of hyper-scaling capitalism" for young people.

20,000 Automotive Jobs Gone — And Counting

While the commencement drama played out on social media, the labor figures tell a different story.

According to TechCrunch, Ford, GM, and Stellantis combined have cut more than 20,000 U.S. salaried jobs — 19% of their combined workforces — from recent employment peaks this decade. AI-driven restructuring is a central factor.

GM is being most explicit about it. The company laid off more than 600 salaried IT workers — over 10% of its IT department — and is now hiring replacements with AI-specific skills: AI-native development, data engineering, model training, agent development, and prompt engineering. This is not a one-to-one swap. Net job loss is the likely outcome, according to TechCrunch reporting.

Fleet data company Samsara offers a contrast. They used a decade of camera data from millions of trucks to train a model that detects potholes and tracks deterioration. Chicago is already under contract. The difference is stark — companies that know what they're doing with AI versus those cutting headcount and calling it innovation.

Boardrooms Are Starting to Flinch

CEOs face pressure of their own. According to a January 2026 BCG report cited by Forbes contributor Scott Francis, CEOs plan to nearly double AI spending from 0.8% to 1.7% of revenues in 2026. The same executives believe their jobs are on the line if it doesn't pay off.

That pressure is producing new skepticism. Boards are demanding ROI evidence before approving further AI spend. Vendor promises are getting pushback. A Qualtrics study found 53% of consumers have concerns about how AI models use their personal data — up 8 points from 2024.

OpenAI's Sam Altman himself acknowledged companies are using "AI washing" — dressing up layoffs as AI transformation to avoid accountability. That admission from the head of the most prominent AI company gets surprisingly little mainstream coverage.

AI Fraud Is the Story Almost Nobody Is Covering

While attention focuses elsewhere, AI is becoming a fraud tool.

Marcin Augustynowicz of ControlExpert Poland, a firm specializing in AI-based automotive insurance claims, published findings based on three years of research. His team documented fraudsters using AI to fabricate damage photos, recycle images across multiple claims, and manipulate claims at scale. What once required expertise now requires an app.

Insurance fraud is hard to prosecute and easy to scale. When AI drops the cost and skill barrier to near zero, volume explodes. Augustynowicz's team has documented this in active investigations.

Mainstream AI coverage focuses on chatbots and chip wars. The downstream fraud infrastructure being built on these tools remains largely uncovered.

The Geopolitical Angle Mainstream Media Is Framing Wrong

Newsweek published an opinion piece by NYU professor Maha Hosain Aziz making an observation worth considering: the global AI race won't be decided by whoever has the most chips or the biggest models, but by whoever manages the backlash first.

Real examples already slow deployment. Indonesia temporarily blocked Elon Musk's Grok after it generated sexualized content. Germany has seen voice actors protest AI training contracts. Illinois Governor J.B. Pritzker proposed suspending state incentives for data centers over electricity and water consumption. The EU AI Act restricts real-time biometric surveillance with narrow exceptions.

Most people won't encounter AI as a "model," Aziz notes. They'll meet it as a scam call, a layoff notice, or a higher utility bill. Corporate AI PR is working hard to prevent this framing from dominating. But it's already the dominant framing.

What This Means

If you're under 35 and job hunting, your skepticism is data-backed, not irrational. If you're in auto industry IT, the numbers don't support equal replacement. If you're in insurance, fraud tools are coming for your claims process. If you're a CEO betting the company on AI with no clear ROI and no transparency plan — the graduation ceremony videos are a preview of what your customers and employees think.

The backlash is here.