Leadership and Culture in an AI-led World

Editor’s Note: This blog is adapted from a session by Roopasree Ranganna at thegeekconf 2025. As the VP, Engineering Leader at Synchrony, Roopasree explores how the era of Artificial Intelligence demands a fundamental shift in leadership and culture. Her talk unpacks the transition from industrial command models to intelligence-led collaboration, emphasizing why staying human is the ultimate competitive advantage in an automated world.

We are living through a turning point where old leadership styles no longer work. For decades, the industry relied on industrial leadership. This was the era of the factory revolution, where efficiency, command, and control were the primary requirements. Leaders were characterized as autocratic and aggressive; the style relied on instructions and standard operating procedures to deliver outcomes. That style sustained us for a long time, but the rise of AI and Machine Learning has changed the landscape forever.

The current AI landscape is experimental and often intimidating. Recent data shows that 95% of Artificial Intelligence and machine learning projects are failing. We are in a hype cycle where we are still figuring out what will stick. These projects are expensive, requiring massive investments in tokenization, bandwidth, and high-end hardware like GPUs. When failure rates are this high, it creates a culture of fear.

Building an AI-ready team requires a specific cultural focus. The first path is embracing the cycle of failure as a learning tool. We must lead our teams to understand that experimentation is the only way to build a lasting foundation. The second path prioritizes curiosity over certainty. We encourage our people to ask questions and find new use cases for AI across different departments. We invest in their curiosity because we do not yet know which ideas will define the company’s future.

I see four essential muscles that every leader needs to develop in this era. The first is adaptive intelligence. We must be agile enough to pivot our strategies based on the data we see in real time. The second is ethical judgment. We are responsible for the data we feed our models. We must protect trust by ensuring that data preparation lacks bias, particularly during the labeling and annotation stages.

The ultimate advantage in an AI-led world is our humanity. AI scales operations and automates administration, but culture amplifies human potential. We possess empathy, care, and imagination. Machines can process data, but humans imagine the vision and the dream that gives that data meaning. We lead the AI in the right direction by using our unique human capabilities.