I watched a 22-year-old intern close a chat window and sigh like someone who’d been promised a miracle and found a ledger instead. The promise of instant help has started to look like a stack of small, costly trade-offs. You can feel the tilt: curiosity at first, then weariness.
I want you to keep that moment in mind as we walk through the Gallup findings and what they mean for work, learning, and the wider economy.
At a campus career fair, students asked fewer “How can AI help me?” questions than last year.
The Gallup poll of more than 1,500 people aged 14 to 29 shows usage hasn’t dropped—Gen Z still uses AI—but it has stopped rising since the same survey in 2025. The headline is a plateau paired with a credibility problem: access alone isn’t changing attitudes.
Curiosity remains the most common reaction, but it now sits shoulder-to-shoulder with anxiety and anger. Excitement about AI fell by 14 percentage points since 2025; hope dropped nine points; anger rose nine points. That shift matters because this cohort is the workforce in motion—Gen Z has already overtaken Boomers in employment, a trend covered by CNBC—and their choices will shape demand.
In entry-level meetings, new hires say AI often replaces the training they expected to receive.
That’s the hard reality behind the headlines linking AI to hiring slowdowns. Studies and government notes—like the Irish report and public remarks from Fed Chair Jerome Powell—have pointed to AI as a contributing factor in weaker early-career hiring. Employers are automating tasks that once served as on-the-job classrooms, and young workers lose those stepping stones.
When companies pour resources into scaling infrastructure, they’re betting future demand will match massive supply. Tech and finance firms have been spending tens of billions of dollars on AI capacity—think $10B–$50B (≈€9.2B–€46B) in recent buildouts—and that wager can shape markets. If demand doesn’t grow as expected, the mismatch could act like a slow leak in the economy.
For individuals, the cost is immediate: fewer chances to learn by doing, fewer entry roles, and more pressure to prove value against automated systems.
On social feeds, posts about AI are as likely to say “I’m worried” as “I’m curious.”
Gallup’s numbers make that plain. About 40% of Gen Z report anxiety about widespread AI adoption. Among non-users, 60% feel anxious and only 2% feel hopeful. Even daily users are split: 28% anxious, 38% hopeful. Anxiety isn’t confined to the uninitiated; it’s threaded through everyday use.
Why is Gen Z skeptical of AI?
Younger people are seeing real-world harms tied to algorithmic decisions: mental-health incidents involving chatbots have made headlines, employers are trimming early-career roles, and questions about surveillance and governance keep surfacing. The skepticism grows when benefits—faster work, accelerated learning—start to look smaller. Gallup found confidence that AI speeds work dropped 10 points since last year, though a slim majority (56%) still believes it helps. Belief that AI accelerates learning fell to 46%.
At conferences, the language around automation has shifted from triumphant to cautious.
Executives are responding to the credibility gap. At Nvidia’s GTC, CEO Jensen Huang spoke against full automation of work and criticized hiring freezes aimed at short-term profit. OpenAI has floated an AI-enabled four-day workweek, an idea covered by the BBC. These public shifts matter because they are attempts to reconnect AI’s promise to real human outcomes.
Trust metrics are stark: only 3% of young respondents said they would trust work that was entirely AI-generated. Twenty-eight percent would trust work assisted by AI; 69% preferred work that was 100% human-made. If you’re building tools or hiring people, those preferences affect adoption curves and product acceptance.
Is Gen Z using AI less?
Usage itself hasn’t fallen—the plateau is the headline. What’s changing is sentiment and the scale of enthusiasm. Daily use continues, but emotional engagement is cooling. That matters for long-term demand: engineers and investors can build capacity, but if the users who will scale the economy are skeptical, the market dynamic shifts.
In hiring queues and classrooms, the trade-offs are personal and immediate.
Working young adults are more likely than not to say the risks of AI match or outweigh the benefits. Thirty-eight percent think AI harms creativity, 42% think it harms critical thinking. Those are not abstract worries; they reflect how early careers are shaped.
AI can be a double-edged scalpel—precise and powerful when used to augment, dangerous when used to replace the human work that builds skill and resilience.
So what should you watch? The answers from Gallup suggest that tech firms must move beyond product claims about productivity and address trust, learning pathways, and the social costs of automation. Public figures and platforms—Nvidia, OpenAI, regulators, and central bankers—are already recalibrating their rhetoric. Whether that will repair faith or only slow the decline in hope is the question of the moment.
If young people stop seeing AI as a force for their careers and learning, the economic playbook shifts—who benefits, who trains, and who gets hired changes with it. Which side of that ledger will you bet on?