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Maximizing the opportunities of AI transformation—and confronting the challenges it presents—drove the majority of discussion at HR Tech this week, including by leading industry analyst Josh Bersin.
In his closing keynote on Thursday, Bersin said HR is at a critical moment, with an HR tech market that is being revolutionized and a new mandate to re-envision how work of the future is done.
What does AI transformation look like?
AI transformation is currently happening in four phases, Bersin said:
Assistance: Employees are leveraging tools like ChatGPT and Galileo for individual parts of their jobs, typically finding 15%-30% improvements. Automation: As the workforce becomes more comfortable interacting with such tools, organizations are redesigning jobs to flow tasks to both humans and agents, improving processes by up to 50%. Multi-function agents: As multiple agents are deployed, organizations can fully “re-engineer jobs,” stitching together processes across functions, and boosting improvements of 100%-200%. Autonomy: At this end stage, organizations can reap up to 300% in improvements, as AI agents manage the work—and humans manage the agents, Bersin said. 5 takes on the implications of AI transformation
As companies progress through this journey, it’s reshaping the job market and driving the ongoing consolidation
