Podcast Discussion: Reshuffle: How AI Changes the Entire System of Work
Let's discuss a podcast episode where author Sangeet Paul Choudary joins Wharton Professor Kartik Hosanagar to unpack why the popular phrase “AI won’t take your job, but someone using AI will” is a dangerous oversimplification. Instead of just changing tasks, AI is transforming the entire system of work: reshaping roles, workflows, and even the structure of organizations. If you want to stay relevant in the age of AI, this conversation is essential.
Here is how it works:
[Optional] Prior to the event: Listen to the following Podcast Episode (during your commute or workout). Any of the following link works):
Wharton Summary with YouTube Link: https://ai.wharton.upenn.edu/updates/ai-is-reshaping-the-architecture-of-work-but-are-we-looking-in-the-wrong-place/
Apple podcast Link: https://podcasts.apple.com/us/podcast/sangeet-paul-choudary-how-ai-changes-the-entire/id1813418349?i=1000715254462
Spotify podcast link: https://open.spotify.com/episode/7EYICZeQ5mN74k5INnlblv
During the event: We will break out into small groups (max 6 people per group).
Discussion Questions:
Technology often triggers second-order effects that render existing business infrastructures and models obsolete. Containerization changed shipping logic, not just dock work. What second-order effects in our fields might completely redefine the "ports" we currently rely on?
AI transforms previously scarce, specialized skills into abundant, generalist capabilities accessible to everyone. Specialized barriers to entry are collapsing quickly. How can we realign our contributions to ensure we remain contextually vital in this new ecosystem?
In a world where AI provides abundant and cheap answers, the scarcity shifts to proper inquiry. Cheap answers make the right questions our scarcest asset. How can we redesign our organizational cultures to prioritize deep inquiry over rapid solution generation?
AI destabilizes the traditional firm by allowing small, agile teams to compete with resource-heavy incumbents. Scale is no longer the ultimate competitive moat. How might we leverage nimble, AI-driven structures to disrupt the traditional giants in our sectors?
As execution becomes commoditized by algorithms, professional value pivots toward risk-taking and judgment. Algorithms handle routine, but humans own the risk. How can we cultivate a professional mindset that values high-stakes judgment over mere productivity?
Group Mission
Deep Discussions for Bold Innovators.
👥 Who should join
AI practitioners, startup founders, students, and researchers curious about AI’s development and impact.
Community Ground Rules
To provide an enjoyable experience for fellow participants, here are three ground rules during discussion events:
Step up and step back. (If you feel that you’ve been talking too much, step back to listen more. If you feel that you’ve been relatively quiet, step up to share your perspective or ask a question)
Listen to understand, not to respond.
Be open-minded and value differences.