How do you bring AI into a real enterprise without creating chaos, risk, or expensive pilot projects that never scale? In this session, we dig into what purposeful, responsible AI adoption actually looks like, and what it takes to align AI initiatives with the business outcomes leaders care about.

Ethan Rai of Propel Global Advisory breaks down five common hurdles that stall AI adoption across organizations, from unclear ownership to data and operating-model gaps. Ichun then walks through AI’s evolution and today’s capabilities, and what they mean for how work gets done, how infrastructure is designed, and how decisions are made at scale.

Together, the conversation tackles the risks teams tend to underestimate, including operational exposure, compliance concerns, and bias, and why AI readiness assessments are often the missing first step. You’ll also hear practical strategies for improving data readiness, managing the human side of change, and earning executive alignment so AI programs can move from experiments to durable, responsible implementation.

The session closes with a clear takeaway: innovation and ethics are not competing goals. They are the balance that makes AI adoption sustainable.