For years, the story was simple: Gen Z would be the digital conquerors — the first generation to enter the workforce already fluent in technology, AI, and automation. But as 2026 unfolds, the reality looks more complicated.
Recent data from Randstad’s Workmonitor survey — one of the largest global workforce studies, based on responses from about 27,000 workers and 1,225 employers across 35 markets — reveals a paradox. While most employees expect artificial intelligence to reshape how work gets done, Gen Z expresses the greatest concern about that shift.
Here’s why the generation raised on technology is suddenly feeling like it’s on the wrong side of the automation boom — and why that concern has logic behind it.
AI Is Reshaping Jobs Faster Than Ever
Randstad’s 2026 report shows that four in five workers worldwide believe AI will affect their daily tasks at work — a clear sign that automation is no longer a distant possibility, but a present reality.
One of the most dramatic indicators: job vacancies requiring “AI agent” skills have soared by 1,587 %, reflecting businesses’ growing appetite for automation and machine‑oriented roles.
This isn’t just about a few extra chatbots or automated email drafts. Roles that have traditionally trained young workers — such as basic administrative, support, or transactional work — are being fundamentally restructured around AI. That cuts into the early‑career experience that Gen Z has historically relied on to build skills and credibility.
The Confidence Gap: Workers vs. Employers
Another striking finding from the Randstad research is what industry analysts call the “confidence gap”:
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95 % of employers surveyed expect business growth this year.
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Only about 51 % of employees share that optimism.
This gap isn’t just numbers — it reflects a trust divide about how AI will influence work. Employers tend to see automation as a productivity and growth tool. But many employees — especially younger ones — see it as something imposed without clear guidance on their place in the future workplace.
Gen Z Feels the Impact Most — Not Least
Contrary to the stereotype that Gen Z loves technology without hesitation, the reality is more nuanced. In the Randstad data, Gen Z workers expressed the highest levels of concern about AI’s impact on their jobs, compared with older generations.
This makes sense for a few reasons:
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Unlike older workers, Gen Z doesn’t have decades of professional experience or seniority to buffer them.
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Many are still trying to break into stable careers while automation accelerates faster than training programs.
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Traditional “entry‑level” work — once the foundation of early career development — is increasingly infused with AI or replaced entirely.
This dynamic gives younger workers fewer footholds and more pressure to constantly reinvent their skill sets just to keep up.
Anxiety Is Real — Not Just a Buzzword
Outside the Randstad data, other surveys align with the picture that Gen Z feels both exposed and unprepared in the AI era. A 2025 Gallup study found that while 79 % of Gen Z have used AI tools, a significant portion still report anxiety or lack of guidance around how to apply that technology meaningfully in work or education.
In other words, comfort with technology does not equate to confidence in career stability.
Older Workers Aren’t Less Aware — They’ve Seen Change Before
What’s striking in the Randstad survey is not that older workers ignore AI — it’s that they feel more insulated. Boomers and Gen X are often in roles where strategic decision‑making, leadership, and deep domain expertise matter more than routine task execution. That gives them a buffer.
Gen Z, on the other hand, is much more often in roles that depend on execution, coordination, and transaction, which are precisely the kinds of tasks that AI systems are most rapidly automating or reshaping.
This doesn’t mean older workers understand AI better. It means their positions feel less immediately at risk.
“AI Agents” Are Becoming Job Requirements — Not Just Tools
An important signal in the data isn’t just fear — it’s how job descriptions are changing.
Rather than jobs that ask workers to use tools like ChatGPT, companies increasingly want employees who can manage, supervise, and orchestrate AI Agents — autonomous systems that can execute sequences of tasks with minimal human direction.
That shift transforms what entry‑level work looks like. Instead of learning fundamental skills on the job, new professionals may be expected to already know how to architect and oversee automated systems that do the work for them.
For a generation still learning the ropes of career development, that’s a steep and sudden cliff to climb.
A Contrarian View: Anxiety as Insight
It may feel counterintuitive, but Gen Z’s anxiety isn’t a flaw — it’s a sign of awareness. Because younger workers are closest to the ground — often in early‑career and operational roles — they see AI’s effects firsthand:
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Roles redefined before they can learn them
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Expectations to adopt AI without formal training
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Shifting job descriptions that blur traditional career pathways
Gen Z’s concern can also fuel upskilling. A 2025 workplace trends report from Randstad shows that a large proportion of workers — including many younger ones — are already seeking opportunities to future‑proof their skills in response to AI’s rise.
The Bottom Line: The Future Hinges on Symbiosis, Not Automation
The modern workplace is no longer divided by who has a degree or who learned to code first. It’s divided by who has a Human‑AI Symbiosis strategy — the ability to work with intelligent systems rather than be replaced by them.
For Gen Z, the message from the data is clear:
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Being a digital native was just the preseason.
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The real game is about managing the bots, not just knowing how to use them.
Their anxiety isn’t irrational — it’s a realistic response to a rapidly changing job market. And if companies want to bridge the gap between optimism and workforce confidence, the solution isn’t slowing down AI — it’s giving workers clarity, training, and a path forward in an AI‑infused future.
Related: Meet Your AI Co-Workers: How OpenAI & Anthropic Are Rewriting Work
