Junior roles in technology and office functions are disappearing faster than many expected. A fresh analysis of millions of job postings in Switzerland shows entry-level positions advertised in 2025 ran 32% below the average seen from 2019 through 2022. Companies have embraced artificial intelligence tools that handle routine analysis, basic coding, content drafting and data entry. The result leaves new graduates competing for fewer on-ramps into professional careers.
The study from Swiss job portal jobs.ch examined more than 7.3 million advertisements. It defined the pre-AI period as those four years before 2023. Marketing, administration, finance and IT suffered the sharpest cuts. Senior positions in fields exposed to AI, by contrast, jumped 26% in 2025. Junior openings strictly tied to AI-exposed work fell an additional 16%. The pattern suggests organizations now prefer experienced hands who can direct the technology rather than novices who once learned by performing the tasks now automated.
Reuters first reported the jobs.ch findings on June 24. The data arrives as similar trends surface across the Atlantic. U.S. entry-level job postings have dropped 35% in the past 18 months, according to labor analytics firm Revelio Labs. Software development and data roles show even steeper declines in some analyses, reaching as high as 67% in certain categories. Young workers feel the pinch. A survey of more than 3,600 people tied to the Swiss study found 41% of those under 25 express worry about becoming less valuable because of AI. They call it FOBO. Fear of becoming obsolete.
But the story isn’t uniform. Demand for juniors remains solid in healthcare, construction and skilled trades where physical presence and immediate judgment still rule. And not every company cuts back. Cognizant hired 25,000 fresh graduates in 2025 and expects to top that figure this year. Its leaders argue early-career talent grows more critical in an AI-first environment. They handle oversight of AI outputs, flag anomalies and surface insights that automated systems miss. The technology takes over rote execution. Humans still supply context, accountability and creative direction.
Stanford researchers tracked the shift in real time. Employment for software developers aged 22 to 25 fell nearly 20% from its late-2022 peak by July 2025. In occupations with heavy AI exposure, the 22-to-25 cohort saw jobs decline 6% while workers aged 35 to 49 gained 9%. The pattern repeats. AI compresses the bottom of the ladder and lengthens the climb to meaningful responsibility. New graduates apply to thousands of openings only to hear silence. One computer science major from the class of 2023 submitted 5,762 applications without securing a full-time offer, a situation now common enough to appear in multiple reports.
Tech With Tim, a popular programming educator, put it bluntly in a recent video. “Juniors are cooked.” He sees fewer junior developer jobs than before. The ones that exist draw extreme competition. Interviews have grown harder and less predictable, especially at startups. Candidates face expectations once reserved for mid-level staff. They must demonstrate system design, debugging under pressure and the ability to collaborate on complex problems from day one. Soft skills dominate hiring decisions. Technical prowess alone no longer suffices.
Yet some organizations report the opposite effect. A Wall Street Journal survey of employers found nearly three times as many AI-using executives plan to increase junior-level hiring in 2026 as those planning cuts. More than 40% said AI adds complexity and analytical responsibility to entry positions. The technology absorbs repetitive work. That leaves juniors to review results, make judgment calls and coordinate across teams. The roles evolve. They don’t vanish entirely. At least not at firms committed to building internal pipelines.
The IEEE Spectrum explored this tension in detail. Sixty-one percent of employers say they aren’t replacing entry-level jobs with AI. Another 41% discuss augmenting those positions with the technology over the next five years. Nvidia CEO Jensen Huang has predicted for years that AI will create more opportunity than it destroys. Others, including executives at Anthropic, warn of widespread displacement in white-collar functions. The data so far supports both camps in different sectors. Big tech entry-level hiring at the 15 largest firms fell 25% from 2023 to 2024, per SignalFire. OpenAI nevertheless opened roles for junior software engineers. Meta cut some AI staff while continuing to recruit researchers.
Harvard Business Review research tracking 62 million workers across 285,000 U.S. firms found junior positions shrinking at companies integrating AI since 2023. The authors describe an erosion of the bottom rungs of career ladders. Intellectually mundane tasks that once trained young employees now run on large language models. The risk extends beyond immediate unemployment. Without those foundational experiences, how do workers develop judgment, accountability and institutional knowledge? Colleges and universities face pressure to adapt. Some already emphasize AI literacy, project-based learning and direct industry partnerships.
World Economic Forum contributors note the dual dynamic. Entry-level work changes fast. AI performs routine task execution. Remaining human roles center on reviewing AI-generated reports, monitoring workflows, routing exceptions and translating outputs into business decisions. Short-term productivity gains can create longer-term headaches. When junior tasks get pushed to managers, seniors burn out. Succession pipelines weaken. Innovation may slow if too few people learn the fundamentals hands-on.
Recent conversations on X reflect the anxiety. One developer in Singapore described the market as brutal for juniors, with AI, layoffs and offshoring combining forces. His intern saw the pressure as a push toward entrepreneurship. “When you cannot land an interview among hundreds of applicants, you stop waiting for a job and you create one,” the post noted. AI lowers the cost of building products. A live SaaS application with real users now serves as a stronger portfolio piece than a polished resume.
Another post cited a Mercer survey claiming 99% of bosses worldwide believe AI will lead to job cuts in the next two years. Freshers and entry-level staff sit at greatest risk. The narrative spreads quickly. YouTube channels devoted to career advice release titles like “32% Drop in Junior Roles: AI’s Brutal Reality” and “Junior Developer Jobs in 2026 Are Brutal.” Views climb into the tens or hundreds of thousands within days. The conversation has moved from academic papers to viral frustration.
Still, counterexamples exist. Companies that treat AI as an amplifier rather than a pure replacement continue to recruit aggressively at the entry point. They seek graduates who combine domain knowledge with prompt engineering skill, critical thinking and the temperament to challenge machine suggestions. The bar rises. Those who clear it gain accelerated responsibility. Those who don’t face extended job searches, gig work or further education.
The Swiss data offers one of the cleanest before-and-after snapshots available. Because the jobs.ch platform dominates the local market, the 7.3 million postings provide a near-census view. The 32% decline isn’t a rounding error or seasonal blip. It coincides precisely with the surge in generative AI adoption after late 2022. Senior roles in the same exposed fields grew. Skills related to AI itself appear in job descriptions far beyond traditional technology departments. The market sorts itself. Experience commands a premium. Novices must prove they add value the machines cannot yet replicate.
Economists and labor researchers will debate causality for years. Corporate cost-cutting, post-pandemic hiring normalization and macroeconomic caution all play roles. Yet the consistency across Switzerland, the United States and anecdotal reports from Asia points to a structural change. AI compresses the apprenticeship phase of knowledge work. What once took years of supervised repetition now happens in weeks of observation and correction. The apprenticeship itself shrinks.
Graduates entering the workforce in 2026 encounter a steeper curve. They need stronger fundamentals, clearer communication, demonstrated initiative and familiarity with AI tools before they walk in the door. Internships, personal projects, open-source contributions and entrepreneurial experiments become table stakes. Traditional degree programs that emphasize theory over application lose appeal. Employers want proof of output.
The shift carries implications far beyond individual career frustration. If entire cohorts miss the foundational experiences that build expertise, organizations may face talent shortages at the senior level a decade from now. Innovation depends on people who understand both the mechanics of the work and the messy realities of applying it in context. Remove the messy realities from early training and something important gets lost.
No one claims the junior job market has collapsed completely. Healthcare still needs nurses. Construction needs apprentices. Certain creative and strategic functions continue to value fresh perspectives. Inside technology, pockets of hiring persist for those who stand out. The overall volume has contracted. The nature of the remaining opportunities has changed. Companies expect more from day one. AI handles the rest.
Young workers already adapt. They build in public, ship products, document their learning and network aggressively on platforms once dismissed as distractions. The pressure that feels punishing today may produce a more entrepreneurial, technically fluent cohort tomorrow. History shows technology waves destroy certain entry points while creating others. The current wave moves faster than most. Its early victims are those who once counted on predictable ladders. The survivors will likely be those who treat the absence of traditional roles as an invitation to forge new ones.
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