
Sign up to save your podcasts
Or


Most reward systems were built for a world where speed, volume, and visible output were reliable signals of performance. But AI now produces all three at scale. That leaves organizations facing an uncomfortable question: if AI can generate more output than ever, what exactly are you rewarding?
In this episode, David Rice sits down with Anju Choudhary, Chief People Officer at Xoxoday, to explore why recognition systems need a redesign for the AI era. They discuss the growing gap between productivity and impact, the importance of recognizing human-centered behaviors like judgment and collaboration, and why the most important question leaders can ask isn't "What do we want people to do?" but "What do we want people to feel?"
Related Links:
Support the show
By David Rice5
1313 ratings
Most reward systems were built for a world where speed, volume, and visible output were reliable signals of performance. But AI now produces all three at scale. That leaves organizations facing an uncomfortable question: if AI can generate more output than ever, what exactly are you rewarding?
In this episode, David Rice sits down with Anju Choudhary, Chief People Officer at Xoxoday, to explore why recognition systems need a redesign for the AI era. They discuss the growing gap between productivity and impact, the importance of recognizing human-centered behaviors like judgment and collaboration, and why the most important question leaders can ask isn't "What do we want people to do?" but "What do we want people to feel?"
Related Links:
Support the show

43,536 Listeners

1,343 Listeners

157 Listeners

10,923 Listeners

8,655 Listeners

9,103 Listeners

130 Listeners

47,765 Listeners

2,218 Listeners

1,128 Listeners

41,331 Listeners

3,467 Listeners

19,650 Listeners

174 Listeners

470 Listeners