Finding 4635Emerging EvidenceValidation V0
Extending $SBTC$ to within-firm seniority, this paper uniquely examines generative AIs seniority-biased effects using LinkedIn/Revelio and LLM-detected AI integrator postings. Employing $DiD$ and $DDD$, it decomposes hires, separations, promotions, showing post-$2023$ adopter declines in junior employment via hiring slowdowns, varying by sector and education tier. Policy-relevant, investor-informative, yet measurement-challenged, preliminary.
61%Confidence
1Evidence objects
v1Version
DraftStatus
Evidence trail
Supporting61% linkage confidence
Extending $SBTC$ to within-firm seniority, this paper uniquely examines generative AIs seniority-biased effects using LinkedIn/Revelio and LLM-detected AI integrator postings. Employing $DiD$ and $DDD$, it decomposes hires, separations, promotions, showing post-$2023$ adopter declines in junior employment via hiring slowdowns, varying by sector and education tier. Policy-relevant, investor-informative, yet measurement-challenged, preliminary.
key_findings bullet 4 · key_findings
Inspect source: Generative AI as Seniority-Biased Technological Change: Evidence from U.S. Résumé and Job Posting Data →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.