Ai squeezes entry-level jobs: a generational reckoning?
The traditional on-ramp to skilled careers – entry-level positions – is shrinking rapidly. A new study from BBVA isn’t just highlighting a suspicion; it’s quantifying a stark reality: generative AI is disproportionately impacting younger workers, effectively slamming the door on their initial foray into the professional world.
The 'canary in the coal mine' effect
Forget mass layoffs driven by AI, as some initially predicted. The BBVA report, spearheaded by Rafael Doménech, paints a more nuanced picture. Companies embracing generative AI are experiencing a 4% productivity boost—a significant gain driven by increased output per worker. Critically, this isn't fueling promotions for existing staff. Instead, it's dramatically curtailing hiring at the junior level. Echoing the Stanford University analysis from 2025, young professionals are acting as the “canary in the coal mine,” the first to feel the sting of automation’s impact.
The reason is simple: routine, easily codifiable tasks—the bread and butter of junior roles—are prime targets for generative AI models. Senior professionals, whose expertise relies on tacit knowledge—the kind difficult to formalize or automate—remain valuable complements to AI, not replacements.
Over 60% of LinkedIn executives surveyed now anticipate AI taking over tasks traditionally performed by entry-level employees, particularly the repetitive ones. Mark Zuckerberg has already foreshadowed that AI could handle a substantial portion of basic and intermediate programming, a domain typically assigned to junior engineers. The numbers are chilling. In the United States, software developer roles for individuals aged 22-25 plummeted nearly 20% between 2022 and 2025. Indeed data reveals a 4% annual increase in demand for senior-level positions, juxtaposed with a 7% decline in openings for entry-level roles.
Beyond tech: a wider disruption
This isn’t solely a tech industry phenomenon. While the impact is visible in sectors like banking, consulting, law, and Technology, the underlying trend is broader. Academic research, like that from Stanford, shows a 13% relative decline in employment for young workers in AI-exposed occupations, even after controlling for other economic factors. The adjustment is happening primarily through reduced hiring, not wage cuts – a subtle but significant shift. Six months of unemployment at age 22, as highlighted by the Center for American Progress, can translate into a $22,000 shortfall in lifetime earnings.
However, not all career paths are facing the same headwinds. Nutrition and construction services, for example, continue to show robust employment rates, hovering around 0.4% and 0.7% unemployment respectively. Even traditionally “safe” fields like computer science are showing cracks: unemployment among newly minted computer engineering graduates now hits 7.5%, a worrying indicator.
Dario Amodei, founder of Anthropic, recently stated that generative AI could eliminate half of all entry-level office jobs within five years, potentially pushing unemployment rates into the 10-20% range. The implications are profound, demanding a recalibration of skills and expectations for the next generation entering the workforce.
A structural problem amplified
Spain, already grappling with high youth unemployment rates (hovering around 25-27%), faces an even more precarious situation. Just 76.5% of Spanish graduates find employment within three years of graduation—a figure lagging behind the European average and demonstrably worsening in recent years. Add the disruptive force of AI, and the outlook appears grim. The market is clearly evolving toward a demand for immediate value from new hires, sharply reducing investment in foundational training.