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VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME:Labor Economics Workshop: Menaka Hampole
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260512T074805Z
UID:tag:localist.com\,2008:EventInstance_52064242992632
DTSTART:20260427T154000Z
DTEND:20260427T165500Z
DESCRIPTION:Menaka Hampole\n\nArtificial Intelligence and the Labor Market\
 n\nAbstract:  We utilize recent advances in natural language processing to
  develop novel measures of workers' task-level exposure to artificial inte
 lligence (AI) and machine learning technologies from 2010 to 2023\, captur
 ing variation across firms and over time. We show that tasks exposed to AI
  subsequently experience lower labor demand. Employing a model that distin
 guishes between direct and indirect productivity effects of labor-saving t
 echnologies\, we identify two variables that summarize the impact of AI on
  within-firm labor demand: an occupations mean task exposure to AI\, and t
 he degree to which this mean exposure is concentrated in a small number of
  tasks. Higher mean exposure reduces labor demand\, whereas more concentra
 ted exposures plays an offsetting role as it allows workers to reallocate 
 their effort to non-displaced tasks. Leveraging exogenous variation in AI 
 adoption linked to firms' pre-existing hiring pipelines\, we find empirica
 l support for these predictions. Overall\, we observe relatively modest ne
 t employment effects due to countervailing forces: reduced demand in AI-ex
 posed occupations is offset by productivity-driven employment increases ac
 ross all occupations at AI-adopting firms.
GEO:42.447319;-76.480995
LOCATION:Ives Hall\, 105
SUMMARY:Labor Economics Workshop: Menaka Hampole
URL;VALUE=URI:https://events.cornell.edu/event/labor-economics-workshop-men
 aka-hampole
CATEGORIES:Seminar
CATEGORIES:Class/ Workshop
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