AI Reshapes Career Paths, Widening Gap Between Experienced and Entry-Level Workers
WASHINGTON – For decades, a clear path existed for young professionals: entry-level job, experience, advancement. That traditional trajectory is being upended by the rapid adoption of artificial intelligence, according to a new study by the Federal Reserve Bank of Dallas. While seasoned workers are seeing unprecedented wage growth, young people are facing dwindling opportunities and a more challenging climb onto the career ladder.
The research, published this month, reveals AI isn’t simply replacing jobs, but fundamentally altering who benefits in the evolving labor market. The core of this shift lies in the distinction between “codified” and “tacit” knowledge. Codified knowledge – facts, procedures, information readily available in textbooks and online – is easily replicated by AI. Tacit knowledge – the nuanced judgment, intuition, and situational awareness honed through years of experience – remains uniquely human.
“AI is exceptionally good at codified knowledge,” the Dallas Fed study notes. “What it cannot do…is replicate the gut feeling of a senior lawyer or the instinct of an experienced engineer.”
This disparity is reflected in the numbers. Since late 2022, when ChatGPT spurred the latest wave of AI adoption, average weekly wages across the U.S. have risen 7.5 percent. In the computer systems design sector, a highly AI-exposed industry, wages have jumped 16.7 percent. However, for workers aged 22 to 25 in AI-exposed roles, employment has fallen by 16 percent. Junior developers have experienced a particularly steep decline – 20 percent since late 2022.
The shift is also visible in job postings. Entry-level positions requiring zero to two years of experience have decreased by 29 percentage points. Increasingly, roles advertised as “entry-level” now demand three or more years of experience – a paradoxical requirement that effectively shuts out recent graduates. Cornell University research indicates U.S. companies adopting AI have reduced junior hiring by around 13 percent.
The consequences extend beyond individual earnings. The traditional entry-level job served as a crucial first step, a proving ground for future leaders. Stories of CEOs who started in entry-level positions – like Doug McMillon of Walmart or Mary Barra of General Motors – are becoming increasingly rare. SignalFire, a venture capital firm, found a 50 percent decline in new role starts for people with less than one year of post-graduate experience between 2019 and 2024, across sales, marketing, engineering, and other sectors.
“The loss of clear entry points does not just shrink opportunities for new graduates — it reshapes how organisations grow talent from within,” said Heather Doshay, a partner at SignalFire.
While experienced workers benefit broadly, the advantage is most pronounced in fields with a high “experience premium” – where the gap between entry-level and senior wages is significant. These include legal professions, insurance underwriting, marketing, and senior software engineering. Healthcare professionals are also seeing positive trends, with entry-level postings actually rising by 13 percentage points. Conversely, roles involving easily codifiable tasks – like fast-food preparation – are experiencing wage stagnation or decline.
The warnings are coming from within the AI industry itself. Dario Amodei, CEO of Anthropic, predicted in 2025 that AI could eliminate roughly 50 percent of all entry-level white-collar jobs within five years, potentially triggering unemployment levels not seen since the Great Depression. Boris Cherny, an Anthropic engineer, went further, suggesting the “software engineer” title could be extinct by the end of 2026. He reported not having written code since November 2025, delegating all coding tasks to AI.
Recent data underscores the trend: roughly 32,000 tech job losses in the first two months of 2026 alone, and nearly 55,000 cuts in 2025 directly attributed to AI, according to company announcements.
However, some experts caution against alarmism. Anders Humlum, a labor economist, notes that transformative technologies historically take decades to fully impact employment. Goldman Sachs Research projects that AI’s impact on overall unemployment will be relatively mild and short-lived, potentially increasing unemployment by around 0.5 percent during the transition.
A new model is emerging, with “AI Apprenticeships” gaining traction, allowing junior workers to leverage AI tools to perform at a higher capacity. Universities are also partnering with AI companies like Anthropic and OpenAI to integrate AI training into curricula.
For young workers navigating this challenging landscape, experts recommend mastering AI tools, aggressively building experience through internships or volunteer work, targeting sectors with continued entry-level hiring (healthcare, skilled trades), specializing in niche areas, and prioritizing career paths with a high experience premium.
The Federal Reserve Bank of Dallas study concludes that returns on job experience are increasing in AI-exposed occupations, emphasizing the growing value of practical experience over theoretical knowledge. The career ladder remains, but its first rung is now significantly more difficult to reach.
Sources: Dallas Federal Reserve Bank – AI & Labour Market Study (2026) | SignalFire Venture Capital Entry-Level Hiring Report | DesignRush AI Job Displacement Statistics 2026 | Cornell University AI Hiring Impact Study | Goldman Sachs Future of Work Research | Anthropic CEO Dario Amodei Congressional Testimony 2025 | NACE Class of 2026 Graduate Employment Report | Challenger, Gray & Christmas Layoff Tracker 2025
