BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Growth Lab - ECPv6.18.0//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-ORIGINAL-URL:https://growthlab.hks.harvard.edu
X-WR-CALDESC:Events for Growth Lab
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/New_York
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20240310T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20241103T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20250309T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20251102T060000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
TZNAME:EDT
DTSTART:20260308T070000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
TZNAME:EST
DTSTART:20261101T060000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;TZID=America/New_York:20251007T100000
DTEND;TZID=America/New_York:20251007T113000
DTSTAMP:20251007T211107Z
CREATED:20251006T183900Z
LAST-MODIFIED:20251007T211107Z
UID:16783-1759831200-1759836600@growthlab.hks.harvard.edu
SUMMARY:Job Transformation\, Specialization\, and the Labor Market Effects of AI
DESCRIPTION:Hybrid\n\n\nThe Growth Lab’s Research Seminar series is a weekly seminar that brings together researchers from across the academic spectrum who share an interest in growth and development. \n\n\n\nSpeaker: Lukas Freund\, Assistant Professor of Economics at Boston College \n\n\n\nWhether attending in person or virtually\, please register in advance. Room attendance is permitted for the Harvard community. The Zoom session is open to the public. \n\n\n\nAbstract: Who will gain and who will lose as AI automates tasks? While much of the discourse focuses on job displacement\, we show that job transformation—a shift in the task content of jobs—creates large and heterogeneous earnings effects. We develop a quantitative\, task-based model where occupations bundle multiple tasks and workers with heterogeneous portfolios of task-specific skills select into occupations by comparative advantage. Automation shifts the relative importance of tasks within each occupation\, inducing wage effects that we characterize analytically. To quantify these effects\, we measure the task content of jobs using natural language processing and estimate the distribution of task-specific skills. We construct projections of automation effects due to large language models (LLMs)\, exploiting a mapping between model tasks and automation exposure measures. Within highly exposed occupations\, like office and administrative roles\, workers specialized in information-processing tasks leave and suffer wage losses. By contrast\, those specialized in customer-facing and coordination tasks stay and experience wage gains as work rebalances toward their strengths. Our findings challenge the common assumption that automation exposure equates to wage losses; and highlight that AI\, through job transformation\, may be disruptive even absent job displacement.   \n\n\n\nAbout the Speaker: Lukas Freund is an Assistant Professor of Economics at Boston College. His research focuses on macroeconomics\, technological change\, and labor markets. Before joining Boston College\, Lukas was a postdoctoral scholar at Columbia University. He obtained his PhD at Cambridge University\, as a Gates Scholar\, and his undergraduate degree from Oxford University. He also held visiting positions at the OECD\, Bank of England\, and Deutsche Bundesbank.  \n\n\n\n \n\n\n\n\n\n\n  Share
URL:https://growthlab.hks.harvard.edu/event/job-transformation-specialization-and-the-labor-market-effects-of-ai/
LOCATION:Perkins Room (R429) – Rubenstein 4th Floor
CATEGORIES:Academic Research Seminars,Hybrid
END:VEVENT
END:VCALENDAR