A Stanford study finds AI hits entry-level jobs hardest. Jobs with codified knowledge see slower entry-level growth.
Tacit-knowledge jobs benefit mid-career and senior workers.
Higher education may buffer these effects.
What happened
A Stanford study found that occupations relying on codified knowledge (formal, standardized, documented knowledge) have slower entry-level employment growth, while those relying on tacit knowledge (acquired through practice and mentorship) see faster growth for mid-career and senior workers.
Why it matters
Lead researcher Erik Brynjolfsson warns that current trends suggest a future where pre-AI era jobs persist but many jobs for incoming workers start disappearing. He said the entry-level effects are 'real, persistent and widening,' and he is more worried about a labor market that quietly closes the on-ramp for people starting their careers.
What to watch
The study found that higher education may serve as a buffer—occupations with more college graduates showed more 'muted differences' between AI-exposed and less-exposed jobs, while in jobs with few graduates, least-exposed occupations grew and most-exposed declined.
Ask the AI about this article →
The Stanford study highlights a structural shift in the labor market driven by AI. While overall employment may stay steady, the composition is changing—entry-level roles that depend on standardized, teachable knowledge are seeing slower growth, whereas roles that require hands-on experience and mentorship continue to expand for more seasoned workers. This suggests that the burden of AI disruption falls disproportionately on those just entering the workforce.
The finding that higher education moderates these effects adds nuance. In occupations with more college graduates, the gap between AI-exposed and less-exposed jobs narrows, possibly because advanced training provides a buffer. In contrast, for jobs with fewer graduates, the most AI-exposed roles are shrinking. This could imply that investing in formal education may offer some protection, though the researcher's worry about closing on-ramps indicates that this buffer may not be sufficient for all.
AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.
Free · takes 30 seconds · unsubscribe anytime
Ask AI anything about this article. Q&As are published on this page for other readers too.
Nvidia is reportedly in talks to invest again in AI search startup Perplexity AI at a valuation above $30 bill…
A survey by LIFEFUND shows that 68.5% of construction and housing management companies now use AI in at least…
Tim Bucher, co-founder and CEO of Agtonomy, argues that the next big AI play is embedding physical AI into hea…
IMDEX, an Australian mining technology company, used Cursor to consolidate two flagship geological mapping too…
Data centers have become the "killer application" for solid-state transformers, a technology replacing convent…
Nucleai announced an ongoing translational research collaboration with Gilead Sciences, using AI-driven tissue…
