For years, experts debated which workers artificial intelligence would most displace. The answer is becoming harder to ignore: not senior professionals, but the people just starting out—the graduates, analysts, and junior associates who were supposed to be the future of their industries. Recent research makes this picture disturbingly clear.
The CFOs Are Telling You Directly
The Oliver Wyman Forum and the New York Stock Exchange surveyed nearly 500 chief financial officers (CFOs), representing roughly 12% of global market capitalization, about how the finance workforce will change over the next three years. The findings are unambiguous: junior roles are where the pressure is being applied.
The survey found that 64% of CFOs expect the finance function to shift away from junior roles, while 91% anticipate either flat (61%) or lower (30%) headcount overall. The traditional workforce pyramid, wide at the base with entry-level staff, is flattening into a middle-heavy diamond.
What is driving this? AI. Four in five CFOs view embedding AI in finance as a top-three priority. The targeted use cases—planning, forecasting, fraud detection, and spend analytics—are precisely the areas where junior analysts historically spent the most time. Automation absorbs the work, and the roles built around it disappear. Conversely, the pull is unmistakably upward: 41% of CFOs expect a shift toward midlevel roles and 23% toward senior roles, while only 13% expect a shift toward junior roles.
The Research Now Proves It
While survey data captures intentions, empirical research provides weight to what is actually happening in the labor market.
A Harvard working paper by Seyed Hosseini and Guy Lichtinger (May 2026) analyzed CV and job-posting data covering 65 million workers across more than 280,000 US firms between 2015 and 2025. They found that at firms adopting generative AI, junior employment declined by approximately 9% after six quarters relative to non-adopting firms. Senior employment continued to rise.
Crucially, this decline was not driven by mass redundancies, but by a sharp reduction in hiring. Companies simply stopped bringing in as many people at the bottom. The Harvard researchers call this “seniority-biased technological change.” The jobs being eroded are not complex, judgment-intensive roles, but the task-heavy entry-level roles—debugging, document review, and routine data analysis—that AI handles best.
A parallel Stanford Digital Economy Lab study analyzing ADP payroll records found that employment for young software developers aged 22 to 25 declined nearly 20% by July 2025 from its 2022 peak. Senior employment in the same sector showed no such decline, proving that AI exposure predicts junior employment loss.
The Gap Between AI Ambition and Delivery
The Oliver Wyman report reveals an important nuance: actual deployment of AI at scale remains very limited. Only 8% of CFOs have fully deployed AI-assisted tools or autonomous agents, while 70% to 81% are still in planning or piloting stages.
This means much of the junior workforce contraction is driven not by automation that has already happened, but by the anticipation of automation. The Harvard researchers identified the same dynamic: firms began reducing junior hiring shortly after the release of ChatGPT in late 2022, before large-scale deployment occurred. Junior workers are paying the price for automation that has not yet fully arrived.
An Industry-Wide Pattern
This squeeze is not confined to finance. A global survey of over 850 organizations reported by HRD Australia found that 39% of businesses have already cut entry-level roles due to AI efficiencies, and 43% expect to do so within the year. In Australia, 8% of employers have stopped hiring entry-level staff entirely.
In professional services, the Big Four accounting firms have significantly scaled back graduate intake. In the UK, one practice leader explicitly cited generative AI as the reason for cutting 200 entry-level roles. Furthermore, US Bureau of Labor Statistics data shows overall US programmer employment fell 27.5% between 2023 and 2025, while senior software developer roles fell only 0.3%.
The Hidden Risk: The Pipeline Paradox
The Oliver Wyman report notes that 70% of CFOs plan to intensify succession planning over the next three years. However, this creates an irreconcilable tension: corporate functions have historically operated as apprenticeship systems where junior staff learn by doing. Reducing junior roles risks hollowing out the very pipeline that produces tomorrow’s managers.
This narrowing of entry pathways is already changing what young people study. If the next generation pivots away from finance, technology, and professional services, employers may face a drastically shallower pool of experienced talent in five to ten years.
The Honest Question for Employers
Individually, corporate leaders are making rational decisions to optimize efficiency. However, the aggregate result is a generation of workers being locked out of the first step of the professional ladder. Because this decline is driven by a lack of hiring rather than layoffs, it remains largely invisible in conventional unemployment statistics.
Encouragingly, HRD Australia reports that some employers who moved too quickly to cut entry-level roles are now quietly rehiring, finding that the complexity and relationship-intensity of real work outpaced the technology’s current capabilities.
The lesson is that the decision to stop hiring junior staff is not a purely technical choice. It is a profound organizational and strategic bet—one that will shape the corporate talent pipeline long after the executives who made the decision have moved on.
