Fears that artificial intelligence is coming for workers’ jobs have been fueled by dire warnings from tech leaders and anecdotal signals in Federal Reserve reports. The reality so far is more nuanced — and less catastrophic — than the headlines suggest.
New research from Vanguard shows that jobs most exposed to AI automation are not disappearing. In many cases, they’re growing faster than they were before the pandemic and faster than occupations with lower AI exposure. That finding complicates the broader anxiety around job security, layoffs, and income volatility across the economy.
Vanguard analyzed roughly 140 occupations it considers highly vulnerable to AI automation, including office clerks, HR assistants, law clerks, paralegals, and data scientists — roles where a large share of tasks could theoretically be automated with limited human oversight.
Between mid-2023 and mid-2025, employment in these AI-exposed roles grew 1.7%, compared with 1% growth in the pre-pandemic period from 2015 to 2019. By contrast, job growth has slowed more noticeably in occupations considered less exposed to AI.
This runs counter to the dominant narrative that AI adoption is already driving widespread displacement — a fear that often surfaces alongside broader concerns about layoffs and workforce contraction, including the community-level impact.
If AI were materially undercutting workers, economists would expect to see downward pressure on wages. Vanguard’s data shows the opposite.
Real wage growth for AI-exposed jobs rose sharply — from just 0.1% before COVID to 3.8% in the post-pandemic period. Less AI-exposed jobs saw much smaller gains, with real wages increasing from 0.5% to 0.7%.
So far, AI appears to be functioning more as a productivity enhancer than a wage suppressor — a pattern that mirrors other platform-driven shifts we’ve covered, including on-demand pay and income timing.
This does not mean AI poses no risk to employment. Some firms have already cut or frozen hiring in areas where automation improves efficiency or reduces the need for entry-level labor.
Federal Reserve anecdotal data shows:
Some companies replacing entry-level roles with AI tools
Others skipping hiring cycles due to automation gains
Select manufacturers reducing office staff after deploying automation
What stands out is scale. These changes remain isolated rather than systemic, similar to how economic stress often appears unevenly before becoming widespread — a pattern also seen during moments like the SNAP funding pause and borrowing surge on SoLo Funds.
Another limiting factor is that AI systems still struggle with reliability, accuracy, and contextual judgment. Human oversight remains necessary across most real-world applications.
Entry-level roles are often viewed as the most vulnerable to automation. Vanguard’s internal data presents a more mixed picture.
If AI were already displacing early-career workers at scale, it would likely show up among the roughly 5 million workers in Vanguard-administered 401(k) plans. Instead, enrollment among workers aged 21–25 remains relatively stable, with no clear evidence of disproportionate AI-driven displacement.
That stability matters, particularly as younger workers already face rising costs and tighter financial margins — challenges we’ve examined through household economics and budget strain.
Even with limited short-term disruption, longer-term change remains likely as AI improves and adoption deepens.
Over time, demand for human labor may decline in areas such as customer service, paralegal work, data science, and clerical or administrative roles. Economists themselves rank among the most AI-exposed professions.
The key distinction is timing. The shift appears gradual rather than sudden, giving workers and employers time to adapt — though not without pressure.
AI is reshaping how work gets done, but current data does not show mass job losses or wage declines — even in roles most exposed to automation.
For now, AI functions more as a productivity tool than a job killer. The greater risk lies ahead, as models improve and adoption accelerates. In the meantime, workers are navigating a labor market already shaped by volatility, rising costs, and concentrated financial responsibility.
The most durable response is adaptation: building skills that complement AI, creating income flexibility, and strengthening financial buffers before disruption arrives.
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