This leads us to a more profound question: If firms aren’t necessarily firing their junior employees because of AI, why is the entry-level market so stagnant? The truth is that we are living through a period of overlapping shocks, and it is nearly impossible to isolate the impact of AI from the impact of interest rates in real time. Nevertheless, businesses, educational institutions, and regulators must make high-stakes decisions today regarding hiring and training. In doing so, they are uncovering a shift in corporate behavior that may be more significant than the technology itself.
The data reveals a clear trend: firms are not engaged in mass layoffs of their junior staff; rather, they are simply hiring fewer of them. This decline in hiring is most concentrated in areas where AI is seen as a tool for automating work rather than merely complementing it. To understand why this is happening, we must reconsider the traditional role of the junior employee. For decades, organizations hired junior staff not for their immediate productivity, but as part of a long-term "formation" process.
Consider the first-year associate at a law firm or the resident doctor in a hospital. By any objective measure of short-term efficiency, these roles are often "unproductive." A junior associate’s legal brief almost always requires extensive revision by a senior partner, and a resident’s initial patient assessment is frequently repeated by an attending physician. From a pure accounting perspective, these tasks are redundant. Yet, firms have historically funded these positions because that is the only way to transform a novice into a senior professional with the judgment and expertise required to lead. The work they produced was merely a byproduct; the true goal was the development of the employee.
The introduction of AI has disrupted this delicate bargain. AI can now perform many of the "production" tasks that were previously assigned to junior analysts, such as summarizing documents, drafting basic code, or conducting initial data screens. As a result, firms see an opportunity to cut costs by investing less in these entry-level hires. However, in doing so, they are thinning the pipeline that produces the next generation of senior leaders.
This phenomenon was observed by researcher Matt Beane in operating rooms long before the current AI boom. As surgical robots were introduced, they often took over the "reps" that residents needed to build their skills. While the robots made the surgeries more precise, they quietly robbed the junior doctors of the hands-on experience necessary to become master surgeons. Today, we see a digital version of this across the white-collar world. Employers still demand experienced, high-level professionals, but many have stopped funding the very process that creates that experience.
