If you’re having trouble distinguishing AI hype from reality, you’re not alone. The rapid pace of AI development makes it difficult to separate fact from fiction, with constant new products and tweaks to old ones creating a confusing narrative.
A key economic concern of AI development — or a major attraction for business owners looking to cut costs — is the potential for job automation.
Determining if AI is significantly impacting employment has been challenging. Recently, the US job market has declined, and jobs vulnerable to AI, like certain “laptop workers,” seem particularly affected.
Conversely, even advanced AI struggles to match human performance, let alone replace it. An MIT study revealed that 95% of AI initiatives at companies are failing to meet expected revenue goals.
Despite skepticism towards AI industry claims, there’s concern that AI is already affecting the job market.
A recent Stanford Digital Economy Lab survey of AI and labor data presented comprehensive evidence of AI disrupting the job market.
Researchers analyzed three years of payroll records for millions of US workers across various companies, identifying trends by job and age group.
Findings showed a sharp decline in employment for entry-level knowledge workers aged 22-25, whose jobs are highly susceptible to automation. Occupations like software engineers, service workers, and marketing professionals are at risk due to high “AI exposure.”
In contrast, older workers in these fields experienced headcount stability or slight growth.
The study also noted an increase in employment for 22-25-year-olds in non-AI-exposed fields, like industrial workers, nurses, or retail supervisors.
“[We] find these broad trends not limited to just case studies,” said Bharat Chandar, one of the paper’s authors. “For 22-25-year-olds, employment is falling in the most AI-exposed jobs and rising in the least exposed jobs. For older workers, [we] find small differences in employment trends based on AI exposure.”
This divergence is concerning, as it implies AI may cut into early-career roles, traditionally providing training for long-term careers. The destruction of these entry points could have lasting economic consequences.
Additionally, why AI seems to impact the job market involves complex factors.
Previously, data showed AI is frequently used by CEOs to justify headcount reductions or job outsourcing — cost-cutting measures that may have occurred regardless of AI innovations.
Furthermore, the job market was already challenging for entry-level workers before the rise of AI, making it easier for AI-exposed roles to skew statistics.
“Overall, [the] job market for entry-level workers has been stagnant since late 2022, while the market for experienced workers remains robust,” Chandar noted. “Stagnation for young workers [was] driven by declines in AI-exposed jobs. Of course, lots of changes in the economy, so this is not all caused by AI.”
Significantly, researchers observed wage stagnation across all ages since 2022 — an ongoing issue that suggests any money saved by AI is not benefiting workers but remaining with those at the top.
