EPISODE · May 5, 2026 · 41 MIN
The AI Productivity Paradox: Redesigning Work for Enterprise Impact
from ASU+GSV Summit Sessions · host ASU+GSV
Recorded live at the 2026 ASU+GSV Summit in San Diego, this session featured Vishaal Gupta, President, Enterprise Learning & Skills at Pearson PLC; Lydia Logan, Vice President for Global Education and Workforce Development at IBM Corporate Social Responsibility; Anshul Sonak, Principal Engineer at Intel; Guna Jayaraman, Chief AI Officer at Cornerstone; and Lawrence Stevens, Director, Learning & Skills Ecosystem at Cisco.The speakers explored how, as AI moves from experimentation into widespread enterprise adoption, organizations are discovering that the core challenge is not the technology itself, but rather building the skills and organizational readiness required to unlock its full potential. Drawing on insights from the AI Workforce Consortium, they reframed the conversation from simply adopting AI tools to redesigning work around outcomes by focusing on measurable value created through human-AI collaboration.The session examined how strategy, skills, and roles must be aligned to support enterprise transformation, while also addressing why individual productivity gains often fail to translate into organization-wide impact. Through this conversation, leading companies explored what contributes to this productivity gap and what it takes to redesign work in ways that generate sustainable enterprise value.
What this episode covers
Recorded live at the 2026 ASU+GSV Summit in San Diego, this session featured Vishaal Gupta, President, Enterprise Learning & Skills at Pearson PLC; Lydia Logan, Vice President for Global Education and Workforce Development at IBM Corporate Social Responsibility; Anshul Sonak, Principal Engineer at Intel; Guna Jayaraman, Chief AI Officer at Cornerstone; and Lawrence Stevens, Director, Learning & Skills Ecosystem at Cisco.The speakers explored how, as AI moves from experimentation into widespread enterprise adoption, organizations are discovering that the core challenge is not the technology itself, but rather building the skills and organizational readiness required to unlock its full potential. Drawing on insights from the AI Workforce Consortium, they reframed the conversation from simply adopting AI tools to redesigning work around outcomes by focusing on measurable value created through human-AI collaboration.The session examined how strategy, skills, and roles must be aligned to support enterprise transformation, while also addressing why individual productivity gains often fail to translate into organization-wide impact. Through this conversation, leading companies explored what contributes to this productivity gap and what it takes to redesign work in ways that generate sustainable enterprise value.
NOW PLAYING
The AI Productivity Paradox: Redesigning Work for Enterprise Impact
No transcript for this episode yet
Similar Episodes
No similar episodes found.
Similar Podcasts
No similar podcasts found.