Spotlight: 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.