Entry-Level Jobs in Steep Decline

The face of the American workforce is changing rapidly. According to Revelio Labs, postings for entry-level jobs in the U.S. have declined about 35% since January 2023. The cause? Artificial intelligence (AI) is automating an unprecedented number of tasks historically handled by new hires. This trend is most pronounced for workers aged 16–24—many of whom now find themselves entering the toughest job market since the pandemic.

For decades, the career ladder was built on the foundation of first jobs: the call center agent rising to CEO, the summer warehouse helper who would eventually lead the boardroom. In the age of AI, these routes to upward mobility are quickly evaporating.

“At some point, we are going to get to AI systems that are better than almost all humans at almost all tasks,” warned Dario Amodei, CEO of leading AI company Anthropic, in a CNBC interview earlier this year. He forecasts that up to 50% of entry-level jobs could be replaced by AI as its capabilities expand.

Flattening Organizations and Fewer Pathways Up

This technological wave arrives as major corporations, especially in technology and finance, have been engaged in what HR analysts call “organizational flattening.” Middle management roles are being streamlined, and companies such as Amazon, Google, and Meta have trimmed several layers of hierarchy in recent years, in part to seize the advantages promised by AI-driven efficiency.

The knock-on effect is stark: it’s harder than ever to climb the proverbial ladder, largely because the bottom rung is disappearing. SignalFire’s State of Talent 2025 report found a 50% decline in hiring for workers with less than a year’s experience between 2019 and 2024—a delta that’s remarkably consistent across core functions like sales, marketing, engineering, recruiting, operations, and finance.

“The loss of clear entry points doesn’t just shrink opportunities for new grads—it reshapes how organizations grow talent from within,” explains Heather Doshay, a partner at SignalFire. The classic stories of CEOs starting in the mailroom are fading into mythology as firms increasingly require new hires to arrive with advanced skills already in place.

The Pressure to Upskill—and the Risks Ahead

With traditional on-the-job learning avenues closing, there’s now intense pressure for graduates to develop AI, data literacy, and digital communication skills independently. Universities, recognizing this pivotal shift, have begun pivoting their curricula to include robust AI training—sometimes in direct partnership with companies like OpenAI and Anthropic.

Still, the pace of change leaves many graduates and young job seekers vulnerable. As Doshay notes, the classes of 2024, 2025, and 2026 are entering a uniquely uncertain labor market, one where a lack of early-career opportunities could have long-lasting repercussions for skill development, social mobility, and income distribution.

Historically, major technological revolutions such as electricity, the personal computer, or the internet, did displace workers but eventually created more—and often better paying—jobs over time. Will the same true for AI? The answer remains uncertain. Anders Humlum, assistant professor of economics at the University of Chicago, points out that even after two and a half years of widespread generative AI use, “these tools have really not made a significant difference for employment or earnings in any occupation thus far.” Large-scale shifts may take far longer to materialize—but the current pain is unmistakable.

Structural changes may also exacerbate existing inequalities. Humlum’s latest research highlights a substantial gender gap in the adoption of AI technologies, raising concerns that those already disadvantaged in the workforce could fall even further behind unless deliberate intervention—such as universal access to AI training—is enacted.

Is the Career Ladder Broken—or Being Rebuilt?

Some experts believe what’s transpiring isn’t the end of career progression, but a major transformation. Instead of a narrow hierarchical ladder, organizations may be shifting to flatter, “lattice-like” structures where lateral moves, fast upskilling, and project-based work define advancement opportunities.

“The ladder isn’t broken—it’s just being replaced with something that looks a lot flatter,” says Doshay. Although this new structure may open the door for more meritocratic movement, it also places the burden of continuous learning and skill development squarely on individuals, especially at the start of their careers.

Data from recent LinkedIn hiring trends show that roles tagged with AI and data analytics are growing at more than double the rate of standard job postings. Entry-level jobs have not disappeared—they’ve evolved, often requiring sophisticated technical competencies, digital marketing experience, or proficiency with collaborative AI-powered tools. As a result, “entry-level” increasingly signifies positions that once would have been considered mid-tier just a decade ago.

AI Superintelligence on the Horizon?

While some business leaders are focused on the near-term disruption, others warn that the true inflection point may yet come. Max Tegmark, president of the Future of Life Institute, suggests that if current AI trajectories continue unchecked, today’s 50% entry-level job loss could eventually rise to 100%. “If we continue racing ahead with totally unregulated AI, we’ll first see a massive wealth and power concentration from workers to those who control the AI, and then to the machines themselves as their owners lose control over them,” Tegmark says.

This grim scenario has lent urgency to calls for regulatory oversight, new labor protections, and aggressive investments in lifelong learning programs. Already, the European Union and select U.S. states are rolling out requirements for organizations to report on AI adoption’s workforce impact, while some large companies—such as IBM, Google, and Walmart—are investing tens of millions of dollars annually in internal reskilling programs.

Looking Forward: Adaptation and Opportunity

Ultimately, the AI-driven job market is forcing everyone—companies, workers, educators, and policymakers—to rethink the nature of work itself. For individual workers, adaptability, technical fluency, and resilience are emerging as non-negotiable traits. For companies and governments, supporting those left behind by the disappearance of entry-level roles will become a defining challenge of this decade.

As automation remakes the workplace, some optimists emphasize that today’s turmoil may yield tomorrow’s opportunity. New industries, roles, and specialist paths are likely to arise from the ashes of old task-specific jobs. But the timeline, and the extent to which all Americans can benefit, now depends on collective will—and urgent preparation for a world where the traditional career ladder may be gone, but mobility and progress endure, albeit in new forms.