Localization Fireside Chat

GenAI: From Strategy to Execution

Episode Summary

In this episode of Localization Fireside Chat, Robin Ayoub speaks with Minyang (MJ) Jiang about what it really takes to move GenAI from strategy into execution. The conversation focuses on leadership, organizational change, trust, and why most AI initiatives fail long before technology becomes the problem.

Episode Notes

In Episode 166 of Localization Fireside Chat, Robin Ayoub sits down with Minyang (MJ) Jiang for a grounded, executive-level conversation on GenAI execution.

While many organizations are racing to adopt generative AI, few are seeing meaningful results. This episode explores why. Not because of models or tooling, but because of leadership behavior, operating models, incentives, and trust.

MJ shares practical insight from the front lines of GenAI transformation, including what breaks when AI moves from experimentation into production and how leaders can avoid common execution traps.

Topics covered include:

• Why GenAI is often mistaken for a strategy instead of an enabler
• Where execution fails inside organizations
• The leadership behaviors that determine AI outcomes
• Trust, accountability, and decision ownership in AI-enabled systems
• Building and maintaining high-performing teams during AI-driven change

This episode is for CEOs, operators, and transformation leaders who want GenAI to deliver real impact, not just internal demos.

🎥 Watch the full episode on YouTube: https://youtu.be/_GmRHpxhjj0

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