O TYM ODCINKU
As AI moves from assistance to execution, the key challenge for organizations flips from adoption to judgement. Leaders are deciding what to delegate to agents, what must remain human, and how accountability works when machines start doing real work. This season of WorkLab examines the impact of those decisions inside organizations: how work gets redesigned, how leaders stay in control without slowing progress, and why human skills like direction and discernment matter more as AI scales.
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INNE ODCINKI W TYM PODCASCIE
Economist and public thinker Tyler Cowen joins host Molly Wood to explore why AI adoption is so challenging for many employees, organizations, and educational institutions. As he puts it, "This may sound counterintuitive, but under a lot of scenarios, the more unhappy people are, the better we're d…
The ever-increasing capabilities of AI have everyone wondering what it means for their career. LinkedIn's Chief Economic Opportunity Officer Aneesh Raman joins Molly Wood to explore why curiosity, adaptability, and action now matter more than certainty. Drawing from his new book, Open to Work: How …
The ever-increasing capabilities of AI have everyone wondering what it means for their career. LinkedIn's Chief Economic Opportunity Officer Aneesh Raman joins Molly Wood to explore why curiosity, adaptability, and action now matter more than certainty. Drawing from his new book, Open to Work: How …
As AI moves from assistance to execution, the key challenge for organizations flips from adoption to judgement. Leaders are deciding what to delegate to agents, what must remain human, and how accountability works when machines start doing real work. This season of WorkLab examines the impact of th…
Zastrzeżenie: Podcast i grafika osadzone na tej stronie pochodzą z Microsoft, który jest własnością jego właściciela i nie jest powiązany ani wspierany przez Listen Notes, Inc.
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