The debate over what's making it harder for recent college grads to get hired

A Cooling Market for New Graduates

The job market for recent college graduates has grown noticeably tougher, and researchers are now debating why. According to reporting on the trend, two forces are drawing the most attention: the shift to remote work and the growing use of artificial intelligence in entry-level roles. While no single culprit has been conclusively identified, the fact that economists and labor-market analysts are actively arguing about it signals a real structural change underway rather than a temporary blip.

Two Competing Theories

One camp points to the aftershocks of remote and hybrid work arrangements. The argument goes that when companies shifted operations during and after the pandemic, many restructured how they train and onboard junior staff. Entry-level positions historically relied heavily on in-person mentorship, shadowing, and informal knowledge transfer — dynamics that are harder to replicate remotely. If that pipeline has weakened, fewer companies may be willing to invest in unproven graduates.

The other camp points to artificial intelligence. As generative AI tools become embedded in everyday business software, they are increasingly capable of handling tasks once assigned to junior employees: drafting reports, summarizing documents, performing basic data analysis, and even writing introductory code. If AI is absorbing this "grunt work," it could be eroding the traditional first rung of the career ladder before graduates ever get a chance to climb it.

Why This Matters for Finance

This debate carries particular weight in financial services, an industry that has long used large classes of entry-level analysts as both a labor pool and a training ground for future talent. Investment banks, asset managers, and fintech firms have historically hired thousands of junior analysts each year to perform exactly the kind of repetitive, data-heavy work that AI tools are now increasingly capable of automating — building spreadsheets, summarizing filings, generating first drafts of client materials, and running preliminary risk calculations.

If AI adoption is indeed compressing entry-level hiring, finance could be an early and visible test case. Firms may still need experienced analysts and portfolio managers, but the traditional apprenticeship model — where graduates learn by doing low-stakes grunt work under supervision — could shrink or transform. That raises longer-term questions about how the next generation of finance professionals will be trained if the lowest rungs of the ladder disappear.

What to Watch

Expect more granular labor-market data to emerge distinguishing AI-exposed roles from remote-work-exposed roles. Regulators, business schools, and financial institutions all have incentives to understand which factor is driving the trend, since the policy and training responses to an AI-driven shift look very different from those needed to address a remote-work-driven one. For now, the honest answer is that both forces are likely intertwined, and disentangling them will shape how the finance industry recruits for years to come.