US students on why they booed their pro-AI graduation speakers: ‘They’re not reading the room’

· Source: AI (artificial intelligence) | The Guardian · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Human Resources & Workforce Development, Emerging Technologies & Innovation · Depth: Fundamental Awareness, extended

Summary

Recent US college graduates are expressing significant apprehension and hostility towards artificial intelligence, particularly during commencement ceremonies where pro-AI messages from executives are met with boos. At Middle Tennessee State University, Big Machine Records CEO Scott Borchetta's speech on AI's transformative power was met with jeers, with graduates feeling "a knife to the chest" over perceived threats to their career prospects. Similar negative reactions occurred at the University of Central Florida and the University of Arizona, where former Google CEO Eric Schmidt's comparison of AI to past industrial revolutions was booed. A 2025 Harvard poll indicates a majority of young people view AI as a career threat, while a 2026 NBC News survey found only 26% of US voters view AI positively. Even an AI-powered name reader at Glendale Community College caused a "preventable PR disaster" by failing to call names, further fueling student frustration. This highlights a significant disconnect between tech leaders and a generation entering an AI-influenced job market.

Key takeaway

For executives and PR professionals addressing the public on AI, your messaging must acknowledge and validate widespread anxieties about job security and economic impact. Avoid dismissive rhetoric or overly optimistic pronouncements, as these can backfire, alienating audiences and creating PR disasters. Instead, focus on how AI can augment human capabilities and create new opportunities, while offering concrete strategies for adaptation and skill development to foster trust and engagement.

Key insights

Student backlash against AI at graduations reveals deep generational anxiety about job displacement and economic uncertainty.

Principles

In practice

Topics

Best for: CTO, VP of Engineering/Data, Director of AI/ML, AI Student, General Interest, Executive

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Editorial summary, takeaway, and curation by AIssential. Original article published by AI (artificial intelligence) | The Guardian.