EPISODE · May 1, 2026 · 41 MIN
AI as Air: When Learning Becomes Ambient
from ASU+GSV Summit Sessions · host ASU+GSV
Recorded live at the 2026 ASU+GSV Summit in San Diego, this session featured Charles Elliott, Senior Research Engineering Lead at Google; Chris Clark, Senior Director, Product at Salesforce; Kavitta Ghai, Co-Founder and CEO at Nectir; Dr. Min Sun, Co-Founder and CEO at Colleague AI; and Jennifer Lee, Partner at GSV Ventures.The speakers discussed how, across campuses and classrooms, ambient AI systems are capturing context continuously—including conversations, workflows, assessments, and interactions—to build persistent learner memory and adapt in real time. They explored how learning is shifting from discrete sessions to continuous streams, from static snapshots to longitudinal memory, from isolated tasks to agentic collaboration, and from standalone platforms to interconnected ecosystems.The session examined how ambient capture is transforming everything from data flows to assessment models to the definition of learner autonomy. The speakers also considered how to design systems that empower rather than surveil, scale personalization without eroding agency, and build interoperable products across a continuous intelligence layer.
What this episode covers
Recorded live at the 2026 ASU+GSV Summit in San Diego, this session featured Charles Elliott, Senior Research Engineering Lead at Google; Chris Clark, Senior Director, Product at Salesforce; Kavitta Ghai, Co-Founder and CEO at Nectir; Dr. Min Sun, Co-Founder and CEO at Colleague AI; and Jennifer Lee, Partner at GSV Ventures.The speakers discussed how, across campuses and classrooms, ambient AI systems are capturing context continuously—including conversations, workflows, assessments, and interactions—to build persistent learner memory and adapt in real time. They explored how learning is shifting from discrete sessions to continuous streams, from static snapshots to longitudinal memory, from isolated tasks to agentic collaboration, and from standalone platforms to interconnected ecosystems.The session examined how ambient capture is transforming everything from data flows to assessment models to the definition of learner autonomy. The speakers also considered how to design systems that empower rather than surveil, scale personalization without eroding agency, and build interoperable products across a continuous intelligence layer.
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AI as Air: When Learning Becomes Ambient
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