AI Eliminating Jobs for Younger Workers
AI’s Double-Edged Sword: New Study Reveals Generational Divide in Job Market
Stanford, CA – A groundbreaking study from Stanford university economists is shedding light on the complex adn evolving impact of artificial intelligence on the job market. the research, analyzing data from ADP, the largest payroll provider in the US, reveals a stark generational divide: while younger workers are facing job displacement in AI-vulnerable sectors, more experienced professionals are finding new opportunities emerge.
The team, led by Professor Erik brynjolfsson, research scientist Ruyu Chen, and postgraduate student bharat Chandar, examined payroll data from late 2022, coinciding with the debut of ChatGPT, to mid-2025. Their findings, published in a recent paper, point to a meaningful correlation between the adoption of generative AI and a decline in job opportunities for younger workers (aged 22-25) in industries like customer service and software growth – sectors previously identified as ripe for AI-powered automation. The study found a concerning 16% decrease in employment for this demographic in these specific industries.
“It’s always hard to know [what’s happening] if you’re only looking at a particular company or hearing anecdotes,” Brynjolfsson explains. “So we wanted to look at it much more systematically.”
This systematic approach, combing through extensive payroll data, revealed a nuanced picture. While AI is impacting the labor market, its effect is more closely tied to a worker’s experience and expertise than the specific type of work they perform. The study found that more experienced employees in industries embracing generative AI were largely insulated from job displacement, with opportunities remaining stable or even slightly increasing.This supports anecdotal evidence from software developers who have observed that AI is primarily automating rote, repetitive tasks, such as writing code to connect to APIs. Notably,the Stanford study also suggests that while AI is eliminating jobs,it has not yet led to a decrease in wages.
The researchers meticulously accounted for potentially confounding factors, including the Covid-19 pandemic, the rise of remote work, and recent tech sector layoffs, confirming that AI’s impact remains significant even when these variables are considered.
So, what can be done to navigate this evolving landscape? Brynjolfsson advocates for proactive measures to ensure AI benefits the entire economy. He has long proposed tax reforms that discourage companies from prioritizing automation over human labor. He also urges AI companies to develop systems that prioritize human-machine collaboration.
actually,Brynjolfsson,along with fellow Stanford scientist Andrew haupt,argued in a June paper for the development of new “centaur” AI benchmarks. These benchmarks woudl measure and incentivize human-AI collaboration, fostering a focus on augmentation rather than complete automation. “I think there’s still a lot of tasks where humans and machines can outperform [AI on its own],” Brynjolfsson emphasizes.
This vision of human-AI collaboration is echoed by other experts. Matt Beane, an associate professor at UC Santa Barbara, anticipates the AI boom will create a surge in demand for ”augmentable work” – tasks that require human oversight and management of AI outputs. “We’ll automate as much as we can,” Beane says. “But that doesn’t mean there won’t be a growing mountain of augmentable work left for humans.”
However, Brynjolfsson cautions that the rapid pace of AI advancement means the current impact on younger workers could eventually extend to more experienced professionals. The key, he argues, is to proactively adapt and prioritize strategies that foster collaboration and ensure AI serves as a tool to augment human capabilities, rather than simply replace them. The future of work, it truly seems, hinges on our ability to harness AI’s power responsibly and equitably.