Susan Quackenbush on future of work
From Leena AI presents, AI Edge Podcast, ft Sue Quackenbush, Chief People Officer at Dynatrace · · Leena AI
“You almost have to unravel the role and pixelate it into the smallest components to figure out what work is done by an agent and what by a human. The skill sets that will be critically important are strong communication, collaboration, simplification, and change management. These leadership skills are what humans will need to double down on because the magic of human interaction can't be replicated by an agent at this point.”
On , Susan Quackenbush, Senior Vice President & Chief People Officer at DYNATRACE INC, spoke about future of work during Leena AI presents, AI Edge Podcast, ft Sue Quackenbush, Chief People Officer at Dynatrace on Leena AI.
About Susan Quackenbush
Sue Quackenbush, Senior Vice President and Chief People Officer at Dynatrace, has described the company's employee experience as "consistently inconsistent" when she joined, and said the organization is in the middle of a multi-year transformation to rearchitect that experience around key moments. She stated that Dynatrace is piloting a global performance enablement initiative and has implemented a globally scalable career framework and job architecture. Quackenbush noted that this is her third CPO role at a company that appointed its first Chief People Officer, and she described the challenge of balancing being the face of employees while also building scalable infrastructure as a business leader. Quackenbush has spoken about the potential impact of AI on HR, saying she believes the next 5 to 10 years will see a shift from tactical to strategic work as AI automates routine tasks. She stated that no employee at Dynatrace has expressed fear that AI will take their job, and she advocates using AI to automate routine work while humans focus on skills such as communication, collaboration, and change management. Quackenbush also suggested that AI could improve compensation analysis by evaluating pay based on skill sets and specific work rather than by role alone.