The AI Endgame: When AI Is Wrong, Will We Know?
November 20, 2026 | 1:00 pm – 2:00 pm EDT
About
Most AI conversations focus on how to adopt AI quickly and safely. This salon asks what adoption quietly takes away.
When AI does the work people used to learn from, where will your next experts come from? And who will have the judgment to recognize when an answer is wrong?
As people and AI increasingly do the work together, leaders must rethink training, roles, accountability, performance, and succession. They’re doing it amid “always-on change”: redesigning work before the last redesign has settled, while the technology keeps moving.
In this interactive salon, Lloyd Taylor draws on his AI: Endgame series to examine these shifts. Troy Achong brings an operator’s perspective on how organizations and people adapt as work changes. Together, they’ll engage members in three questions:
- What are we automating away that’s actually load-bearing?
If people begin their careers reviewing AI’s work, where do they build the judgment to know whether it’s right?
When change never stops, what should leaders deliberately protect?
Please read the short pre-read here before attending, then bring an example from your organization and come ready to challenge the ideas.
Leave with a clearer view of what’s at risk in the work you’re redesigning, and one thing you will intentionally protect.