Key Takeaways
- A growing segment of Americans under 30 view artificial intelligence more negatively than positively, with 47 % saying AI has been “more bad than good” according to a May 2024 New York Times poll.
- Recent graduates feel especially threatened, citing AI‑driven erosion of entry‑level jobs and opaque, algorithm‑mediated hiring processes that leave them uncertain whether a human will ever see their résumé.
- Critics argue that AI is being used as a lever to reduce workplace benefits and justify lower expectations, framing workers as replaceable.
- In contrast to the U.S., Nordic countries employ sector‑wide bargaining models that give professions collective influence over AI’s deployment, resulting in greater public comfort with the technology.
- The AI industry’s surge in political spending—through lobbying and dark‑money channels—feeds public frustration, reinforcing perceptions of out‑of‑touch oligarchs remaking society without democratic input.
- Speakers urge younger generations to reclaim agency by participating in the rooms where AI decisions are made, emphasizing that the future is built collectively, not imposed.
The Growing Backlash Among Young Graduates
Recent commencement ceremonies have become unexpected stages for anti‑AI sentiment. As one observer noted, “You might have seen graduates booing the mention of A.I. at their commencements this spring.” The jeers are not coming from stereotypical Luddites but from digital natives who have grown up with smartphones, streaming, and social media. A young voice captured the mood: “I ain’t gonna trust A.I. no more.” This hostility reflects a broader generational shift in how technology is perceived—not as an inevitable boon but as a potential threat to livelihoods and autonomy.
Poll Data Shows Rising Skepticism
Empirical evidence backs up the anecdotal boos. A New York Times poll released in May revealed that “47 percent of voters under 30 say that A.I. has been more bad than good, which is the highest percentage in any age bracket.” The figure underscores that skepticism is not marginal; it is a mainstream viewpoint among the youngest voting cohort. The poll also highlighted that this age group is disproportionately affected by AI’s impact on entry‑level employment, intensifying their negative outlook.
Job Market Insecurity and the “Kafkaesque” Hiring Process
For many new graduates, the promise of a stable career feels undermined. They describe entering a labor market where “the entry‑level jobs that they’ve been training for are being systematically eviscerated by A.I.” Moreover, the application process itself has become alienating: “when they try to apply for jobs, they’re sending their résumés out into this Kafkaesque A.I. netherworld where they have no idea if a real person is even going to look at it.” The opacity of algorithmic screening fuels anxiety, leaving candidates questioning whether their efforts will ever be judged by a human eye.
AI as a Lever for Workplace Eroded Benefits
Beyond hiring, AI is cited as a justification for rolling back worker protections. Critics argue that companies invoke AI’s efficiency to claim workers are replaceable, thereby weakening bargaining power. One interviewee summed up the sentiment: “It’s used as basically a lever to say that people can expect less from the workplace because they are replaceable.” This narrative contributes to a growing perception that technological advancement is being used to depress wages and benefits rather than to share productivity gains.
International Contrast: Sectoral Bargaining in the Nordics
The United States’ approach to AI regulation stands in stark contrast to that of several Nordic nations. Bharat Ramamurti pointed out that “other countries have taken much more robust approaches to regulating A.I. And as a result, people seem to feel much more comfortable about it.” In places like Sweden and Denmark, sectoral bargaining allows entire professions to negotiate collectively over how AI is integrated into their work. This model gives workers a voice in shaping the technology’s deployment, reducing the sense of helplessness that pervades the U.S. experience.
Political Spending and the Perception of Oligarchic Control
While public unease grows, the AI industry is doubling down on political influence. Observers note that “the A.I. industry is responding by pouring even more money into the political system, both through lobbying and through dark money. They’re becoming one of the biggest spenders.” This influx of corporate cash exacerbates frustration, as citizens perceive a disconnect: “giant corporations headed by these out‑of‑touch oligarchs who are telling you that they are going to remake your society and you have no say in it.” The perception of a captured political process fuels the belief that AI serves elite interests rather than the broader public good.
The Link Between Government Distrust and AI Anxiety
The hostility toward AI is intertwined with a deeper mistrust of governmental capacity. One analyst argued, “I think if people had more faith that their government could harness this technology, they wouldn’t find the technology itself so dystopian.” When citizens doubt that public institutions can steer AI toward equitable outcomes, they default to viewing the technology as an uncontrollable market force. This skepticism manifests in the boos and protests heard at graduations and rallies alike.
A Call to Reclaim Agency in Shaping AI
Despite the prevailing pessimism, speakers urge a proactive stance. The refrain echoed throughout the discourse: “The question is whether you will help shape artificial intelligence.” They contend that the future is not a foregone conclusion but a product of collective action: “The future does not simply arrive. It gets built in laboratories, in dormitories, and in startups, in classrooms, in legislators and the people building.” By participating in the rooms where AI decisions are made—whether through advocacy, voting, or direct engagement—young people can assert agency and help steer the technology toward outcomes that reflect broader societal values rather than narrow corporate interests.
Conclusion: Navigating an Uncertain Transformation
The trajectory of AI remains uncertain, but one thing is clear: adaptation will be required in ways we cannot yet fully anticipate. As one speaker warned, “It will require each of us to adapt in ways that we cannot yet anticipate.” Whether that adaptation leads to a more equitable, productive society or deepens existing inequities will depend on the extent to which diverse voices—especially those of the younger generation—are included in the conversation. The boos heard at commencements may be a warning sign, but they also represent an invitation: to engage, to question, and to help build a future where technology serves the many, not just the few.
https://www.nytimes.com/video/opinion/100000010918890/graduating-into-ai-pessimism.html