A Stanford study finds that AI disproportionately impacts entry-level jobs by targeting codified knowledge, leading to slower employment growth in those areas while jobs requiring tacit knowledge grow faster for mid-career and senior workers.
<p><a href="https://arstechnica.com/information-technology/2016/11/elon-musk-universal-income-survive-robot-workers/">For years</a>, AI <a href="https://arstechnica.com/information-technology/2016/12/federal-report-ai-could-threaten-up-to-47-percent-of-jobs-in-two-decades/">industry watchers</a> of <a href="https://arstechnica.com/information-technology/2024/12/ai-company-trolls-san-francisco-with-billboards-saying-stop-hiring-humans/">all stripes</a> have been <a href="https://arstechnica.com/ai/2026/03/how-did-anthropic-measure-ais-theoretical-capabilities-in-the-job-market/">warning</a> of <a href="https://arstechnica.com/information-technology/2025/09/no-ai-jobs-bloodbath-as-ai-permeates-all-it-work-over-the-next-5-years/">a coming jobs apocalypse</a> driven by <a href="https://arstechnica.com/information-technology/2024/04/elon-musk-ai-will-be-smarter-than-any-human-around-the-end-of-next-year/">ultra-intelligent AI systems</a> that will be able to replicate most human tasks more cheaply. Now, newly updated research from Stanford University economists suggests AI seems to be causing significant entry-level job losses for younger workers in some fields, even as older workers appear largely unaffected so far.</p>
<p><a href="https://digitaleconomy.stanford.edu/publication/canaries-in-the-coal-mine-six-facts-about-the-recent-employment-effects-of-artificial-intelligence/">The August 2026 edition</a> of "Canaries in the Coal Mine? Six Facts about the Recent Employment Effects of Artificial Intelligence" updates and revises <a href="https://siepr.stanford.edu/publications/working-paper/canaries-coal-mine-six-facts-about-recent-employment-effects-artificial">a paper of the same name published last year</a> with fresh data and refined statistics. In that update, the Stanford researchers find the employment trends they identified for entry-level workers last year are persisting and expanding. Specifically, employment levels for workers aged 22 to 25 in the most "AI-exposed" occupations are now 19 percent below those of their peers in fields less exposed to AI disruption.</p>
<p>Last year, that gap measured just 13 percent.</p><p><a href="https://arstechnica.com/ai/2026/08/ai-is-hitting-entry-level-jobs-hardest-stanford-study-finds/">Read full article</a></p>
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# AI is hitting entry-level jobs hardest, Stanford study finds
Source: [https://arstechnica.com/ai/2026/08/ai-is-hitting-entry-level-jobs-hardest-stanford-study-finds/](https://arstechnica.com/ai/2026/08/ai-is-hitting-entry-level-jobs-hardest-stanford-study-finds/)
## Stay in school, kids
The researchers also theorized that entry\-level workers could be especially affected by AI’s impact on jobs requiring heavily “codified” knowledge—the kind of “formal, standardized, documented knowledge that can be taught through education, textbooks, or written procedures\.” That would contrast with jobs where AI mainly complements an experienced worker’s more “tacit” knowledge, which is overwhelmingly “acquired through practice, mentorship, and repeated exposure to real situations,” the researchers write\.
To test this hypothesis, the researchers used the required level of formal education in[O\*NET’s extensive occupational database](https://www.onetonline.org/)as a proxy for how reliant that job is on codified knowledge\. Breaking out the employment data, the researchers found that “occupations with higher codified knowledge have slower entry\-level employment growth, while occupations with higher tacit knowledge have faster employment growth for mid\-career and senior workers\.”
At the same time, the researchers found that higher education might still serve as a buffer against the employment effects the Stanford researchers identified\. As they write, occupations with a higher share of college graduates showed more “muted differences between more\-exposed and less\-exposed occupations” regarding AI\. In jobs with few college graduates, on the other hand, “the least AI\-exposed occupations \[saw jobs\] growing and the most exposed occupations \[were\] declining in employment\.”
In a recent interview with The Washington Post, lead researcher Erik Brynjolfsson warns that the current trends suggest a near future in which jobs for those employed in the pre\-AI era largely persist while many jobs for the incoming working\-age cohort start disappearing\. “The entry\-level effects we’re measuring are real, persistent and widening,” he said, “and I’m more worried than I was about a labor market that keeps its overall employment level while quietly closing the on\-ramp for people starting their careers\.”
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