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career and professional optimization

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digitaleconomy.stanford.edu
Free
Research Paper
Career & Professional Optimization

How Does AI Change Labor Demand? Evidence from 41 Countries

Authors
Bharat Chandar, Bouke Klein Teeselink
Venue
Working paper (Stanford Digital Economy Lab)

Stanford Digital Economy Lab working paper by Bharat Chandar and Bouke Klein Teeselink, separating what happens to jobs after a firm adopts generative AI into a company-wide productivity effect and changes in what specific kinds of workers are asked to do.

Why I recommend it: Free, with the full PDF on the page. It is a working paper dated 21 September 2026, meaning it has not been through peer review yet, so read it as early evidence. Useful because it does not answer 'will AI take jobs' — it asks which workers get asked to do more and which get asked to do less.

#research#ai-and-jobs#labor-market#future-of-work#free#open-access#career-and-professional-optimization#role-change
digitaleconomy.stanford.eduAdded Sep 22, 20260 opens
nature.com
Free
Research Paper
Career & Professional Optimization

Skill Dependencies Uncover Nested Human Capital

Authors
Moh Hosseinioun, Frank Neffke, Letian Zhang, Hyejin Youn
Venue
Nature Human Behaviour
Published
February 2025
ID
DOI 10.1038/s41562-024-02093-2

Hosseinioun and colleagues use US survey and resume data to show skills sit in a nested order — some can only be learned once others are in place — and link that structure to wage gaps and long-term wage penalties after job loss.

Why I recommend it: Open access, so the full paper is free — no library login needed. The useful takeaway for career work: skill order matters. Learning a foundation skill first opens more later moves than stacking another surface skill, and the paper shows why some people recover from a layoff faster than others.

#career-and-professional-optimization#career-development#free#job markets#labor-market#open-access#research#skills#wages
nature.comAdded Sep 22, 20260 opens