# They Booed Eric Schmidt. The Labor Data Had Been Building to That Moment for Two Years.

> Published on ADIN (https://adin.chat/s/they-booed-eric-schmidt-the-labor-data-had-been-building-to-that-moment-for-two-years)
> Type: Article
> Date: 2026-05-19
> Description: A generation sold on credentialism graduated into a market where the entry-level jobs that credential was supposed to unlock are contracting. The AI executives telling them to adapt helped build the tools doing the contracting. On the night of May 18, former Google CEO Eric Schmidt took the stage...

*A generation sold on credentialism graduated into a market where the entry-level jobs that credential was supposed to unlock are contracting. The AI executives telling them to adapt helped build the tools doing the contracting.*

On the night of May 18, former Google CEO Eric Schmidt took the stage at the University of Arizona's commencement ceremony and got booed every time he said "artificial intelligence." He told the graduating class AI was unavoidable. He compared the moment to the PC revolution of the 1980s. The arena did not receive the comparison well. The video circulated widely enough to reach European press before the ceremony ended. It was the second commencement in a week to produce the same reaction.

The boos are easy to dismiss as anxiety or ingratitude. The labor market data makes them harder to dismiss.

## The Promise That Got Priced In

For roughly two decades, the social contract for American higher education was specific: a degree was the floor, the credential that converted into employment stability, higher earnings and a defensible position in the labor market through recessions and disruptions alike. Parents, counselors and policy makers priced that promise into the $1.7 trillion in outstanding student loan debt currently sitting on federal books.

Gen Z absorbed the contract in full. They enrolled in college at higher rates than any previous cohort. They graduated carrying an average of $37,000 in debt per borrower. They walked into the job market at the precise moment the entry-level roles that contract was supposed to unlock began contracting.

What that looks like in the data:

- Entry-level corporate job listings fell **15 percent** in 2024, according to Handshake, the career platform used by more than 16 million college students
- Applications per listing climbed **30 percent** across the same period
- The unemployment rate for college graduates between 22 and 27 years old reached **5.8 percent** as of March 2026, against a national jobless rate of 4 percent
- That gap has not appeared in Bureau of Labor Statistics data for this cohort in decades
- **51 percent** of Gen Z describe their degree as a waste of money, against 20 percent of Boomers, per a Harris Poll survey conducted with Indeed
- **45 percent** say AI has already made their degree irrelevant outright

Michael Macaluso, 22, graduated from the University of Connecticut with a mechanical engineering degree in May 2025. He submitted roughly 200 applications. He is now working as an assistant pool director at a country club in Eastchester, New York. His trajectory is not anomalous enough to be an outlier.

## Where the Jobs Are Going

The mechanism is direct and well-documented. The roles disappearing fastest are the ones requiring the least institutional knowledge and the most repeatable cognition: research drafts, data summarization, basic financial analysis, entry-level coding review, client intake documentation. Those are also the roles that have historically served as the first employer-funded training program for new graduates. They are how a 22-year-old learns to do the work above them.

What the most recent hiring data shows:

- Employers using AI in their job descriptions have increased **400 percent** over the past two years, according to Handshake's January 2026 labor market retrospective
- LinkedIn's chief economic opportunity officer, Aneesh Raman, said in February 2026 that AI is "breaking" the entry-level layer
- Goldman Sachs estimated in March 2026 that AI is already reducing monthly U.S. payroll growth by **16,000 jobs**
- McKinsey's November 2025 "Agents, Robots, and Us" report put the share of knowledge-work tasks reachable by current AI agents at **40 to 60 percent** across most white-collar occupations
- Goldman Sachs projects **300 million jobs globally** carry material automation exposure under current deployment trajectories

The jobs being created are real. They skew toward the power buildout, AI operations, model fine-tuning and infrastructure management. They require different preparation than the degrees the current graduating class spent four years completing. The Bureau of Labor Statistics has begun publishing displacement risk estimates by occupation, a data product it did not produce five years ago.

## The Velocity Problem Schmidt's Analogy Skips Over

The comparison to the 1980s PC revolution is the part of Schmidt's argument that drew the loudest skepticism from the people who have thought about it most carefully, and it deserves more scrutiny than a commencement address allows.

The PC transition played out over roughly twenty years. Workers had time to retrain. Institutions had time to adjust curricula. Policy had time to respond. The generation that absorbed the PC disruption had the better part of a career cycle to adapt before the transition fully landed.

The current transition is not running on that timeline:

- In Q1 2026 alone, more than **255 AI models** shipped from more than 30 labs
- A significant capability release arrived roughly **every three days**
- OpenAI, Anthropic, Google DeepMind, Meta and xAI are each running parallel development tracks
- Models released in January were superseded by April
- Jobs being automated in 2025 include categories described as AI-resistant as recently as 2023

A BestColleges survey from April 2025 found 65 percent of Gen Z students believe a four-year degree will not protect them from AI displacement over their careers. Deloitte's 15th annual Gen Z and Millennial survey, published May 13, found 60 percent view AI as a threat to their career stability. Schmidt's timeline assumes adaptation can happen on the PC schedule. The graduates in the arena had already concluded it cannot.

## The Environmental Arithmetic

Gen Z is the first cohort for whom climate change has been a background fact of their entire conscious education. Carbon footprint calculators were built into their school curricula. They grew up watching wildfire perimeters expand annually and absorbing the institutional language of net-zero pledges and Paris Agreement targets.

They also know what the technology Schmidt was championing costs to run:

- AI data centers consumed enough electricity in 2025 to power a mid-sized country
- The IEA projects that figure **doubles by 2030**, with AI workloads accounting for between **3.5 and 7.5 percent** of total U.S. electricity consumption, according to a February 2026 Food and Water Watch analysis
- A PLOS One study from March 2026 projected AI's global carbon footprint at **1.5 to 3 percent of total global emissions** by decade's end under high-adoption scenarios
- Training xAI's Grok 4 emitted approximately **72,800 tons of CO2**
- GPT-4o's annual inference water consumption exceeds the drinking supply of **12 million people**, per the same study
- Microsoft disclosed a **34 percent** increase in water consumption tied to AI workloads in its most recent sustainability report; Google's was 17 percent

For a generation that was taught to take shorter showers and avoid single-use plastics while institutions made carbon commitments in their names, the resource profile of the technology being presented as the century's great opportunity lands as a specific kind of contradiction. The deployment being accelerated in their names runs on a resource budget in direct tension with the commitments made in their names.

## Who Is Telling Them to Adapt

The executives championing AI's restructuring of the labor market are not, in the main, the workers absorbing the restructuring. That asymmetry is what the boos were also about.

Schmidt is 70. His net worth is approximately $25 billion. His career was built before the capabilities he celebrated on May 18 existed. The Google he ran was a search company. The AI he was describing at a commencement ceremony is an autonomous agent economy. His advice, lean into it, the opportunities are enormous, is advice delivered from the completed side of a career that the transformation did not touch when it was forming.

The people being told to adapt are the ones carrying the debt. The people doing the telling built their careers on the credential those debts were supposed to fund.

Schmidt left the University of Arizona stage to applause from the faculty section.