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DTSTAMP:20260831T112631Z
DESCRIPTION:Nan Jia\n\nProfessor Of Management and Organization\n	Marshall S
 chool of Business\, University of Southern California\n\nHow AI Shapes Non
 -AI Positions: Evidence from Professional Service Firms\n\nDate: Friday\, 
 April 25\, 2025\n	Time: 10:30 am – 12:00 pm\n	Location: Bronfman building\, 
 Room 310\n\nRegister here\n\n\nAbstract\n\nArtificial intelligence (AI) te
 chnologies have automated numerous tasks traditionally requiring human cog
 nitive skills. However\, we argue that AI's impact extends beyond the task
 s it directly performs\, influencing other tasks that are less AI-reliant 
 but interdependent with AI-intensive functions\, including those requiring
  interpersonal relationships. This study examines professional service fir
 ms (PSFs)\, which specialize in solving complex problems for clients. A co
 mmon organizational design in PSFs distinguishes between back-end position
 s\, which focus primarily on knowledge production\, and front-end position
 s\, which emphasize client interactions and relationship management. These
  two types of functions interact dynamically\, requiring continuous back-a
 nd-forth collaboration: Back-end functions often rely heavily on analytica
 l and cognitive skills\, which overlap significantly with AI’s capabilitie
 s. In contrast\, front-end functions depend more on social skills\, such a
 s interpersonal interactions and relationship building\, making AI adoptio
 n less prevalent in these roles. We argue that the use of AI in back-end f
 unctions enhances the productivity of front-end workers\, thereby increasi
 ng organizational demand for and higher salaries in front-end positions. U
 sing U.S. job posting data from PSFs spanning 2010 to 2023\, we find that 
 an increase in vacancies for AI-related back-end positions—used as a proxy
  for AI adoption in those functions—is associated with a significant incre
 ase in demand for front-end jobs unrelated to AI. These findings suggest t
 hat\, through task dependence and organizational design of positions\, AI 
 adoption boosts the demand for tasks of interpersonal tasks that do not di
 rectly employ AI but depend on information generated by AI.\n
DTSTART:20250425T143000Z
DTEND:20250425T160000Z
LOCATION:Room 310\, Bronfman Building\, CA\, QC\, Montreal\, H3A 1G5\, 1001
  rue Sherbrooke Ouest
SUMMARY:CSSO Speaker Series: Nan Jia
URL:https://www.mcgill.ca/channels/channels/event/csso-speaker-series-nan-j
 ia-364282
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