In Retail AI Transformation, AI Doesn’t Fix Your Culture, It Reveals It

S2E6 Julie Averill, Chief Impact Officer, on Retail AI Transformation & Human-Centered Leadership

Everyone in retail is chasing AI right now, and most of them are about to learn an expensive lesson. In this episode of Retail Transformers, Ricardo Belmar and Casey Golden sit down with Julie Averill, the former Global CIO of Lululemon and author of the new book Chief Impact Officer, to talk about why AI projects fail and what real retail AI transformation requires.

Julie’s core argument is the one every retail leader needs to hear today: AI doesn’t fix your culture, it reveals it. When you layer artificial intelligence on top of broken processes, incomplete data, and unclear decision rights, the technology works perfectly and the results are still garbage. That’s the real reason why AI projects fail, and it has almost nothing to do with the technology itself.

From a 20-hour Lululemon website outage that hit two days before her first day (and earned her a callout from Jim Cramer on live TV) to building a Bangalore tech hub that reached 46% women, Julie shares the hard-won stories behind two decades of retail transformation and the leadership philosophy that made it stick. If you want a clear-eyed take on retail AI transformation that puts people before platforms, this conversation delivers.

What You'll Learn in This Episode

● Why 95% of AI projects fail, and why the technology is almost never the cause

● How to spot when you’re putting AI on top of broken processes and weak data

● Why a unified data foundation is the unglamorous work that decides whether retail AI transformation succeeds

● How real-time data and decision rights have become table stakes, not a competitive advantage

● How Julie built an inclusive Bangalore tech team as a business strategy, not a checkbox

● The honesty gap in AI change management, and what happens to trust when the bill comes due

● Why the goal of leadership is to make yourself unnecessary