Descriptions:
LinkedIn’s Chief Economic Opportunity Officer Aneesh Raman joins Scott Galloway for a two-part Q&A series answering audience questions about AI’s impact on the labor market. The episode covers workers across career stages—from anxious college students to mid-career professionals aged 40–60 facing simultaneous age discrimination and AI displacement—and is grounded in LinkedIn’s real-time data on hiring trends and skill adoption.
Raman’s central framework is a three-bucket approach to auditing any job in an AI era: tasks AI already handles well (quick research, first drafts, coding, data analysis), tasks being upleveled through human-AI collaboration, and distinctly human capabilities that remain difficult to automate—coalition-building, contextual judgment, and what Raman calls explanatory storytelling. His advice for mid-career workers centers on abandoning job-title identity in favor of skill-based self-definition, drawing on his own trajectory from war correspondent to Obama speechwriter to LinkedIn executive as evidence that skill clarity outperforms credential signaling in a changing market.
On the question of software engineering and CS degrees, Raman pushes back against headlines predicting a wipeout, noting that software engineering job postings are currently up even as rote coding tasks shift to AI. He argues CS degrees retain value because they train systems thinking and structured problem decomposition—capabilities that compound rather than erode as AI handles more implementation work. The episode also stresses that workers in the 40–60 age bracket are disproportionately behind on AI tool adoption, and that catching up is the single highest-leverage action available to them.
📺 Source: The Prof G Pod – Scott Galloway · Published April 03, 2026
🏷️ Format: Interview
