Planning for Generative AI’s Impact on Jobs

Three-fourths of HR leaders agree they will be lagging in
organizational success if they do not adopt and implement
generative AI (GenAI) in the next 12 to 24 months. However,
GenAI’s long-term impact on jobs is yet to be determined, and as
a result, organizations must prepare for multiple scenarios as
they engage in workforce planning and adopt GenAI to their unique
context.


In this episode of the Talent Angle, Helen Poitevin, a
distinguished vice president analyst at Gartner, shares a
framework to help organizations evaluate the context-specific
workforce impact of GenAI by identifying the market and
technology drivers that matter for talent decisions. This Gartner
model will help HR leaders establish workforce strategies as they
align technology and business investments with talent
implications.


Helen Poitevin is a distinguished VP analyst with a focus on
human capital management (HCM) technologies and advising clients
on their HCM technology strategies. In HCM, areas of particular
focus include talent analytics, voice of the employee analytics,
workforce planning and AI in HCM. Ms. Poitevin also conducts
research regarding the future of work with a focus on
technology’s effect on how people will work, the gig economy,
talent marketplaces and ecosystems, and future talent practices.


Peter Aykens is the chief of research for Gartner’s HR practice.
Mr. Aykens is responsible for building and leading research teams
within the practice to address clients’ key initiatives. Before
his current role, he spent over 25 years at Gartner leading
research teams focused on banking and financial services
strategy, producing numerous studies that addressed business
strategy, channels, marketing, customer experience and product
challenges. He holds a bachelor’s degree in political science
from St. Olaf College, a master’s degree in international
politics from Aberystwyth University (formerly known as the
University College of Wales, Aberystwyth) and a master’s degree
and a doctorate in political science from Brown University.