Most leaders believe their teams are ready for the AI revolution, but the reality is more complex. While access to tools like Gemini and Copilot is becoming universal, true adoption - integrating AI into daily work routines to improve speed and quality - remains a challenge. The gap isn't technical, it’s human.

In this episode of AI at Work, we sit down with Selcuk to deconstruct the blueprint for large-scale AI adoption. We move beyond the "experimentation phase" and discuss how to move an entire organization of 10,000+ people toward a future where AI is as natural as checking email.

Together, we explore:

The Comfort Gap: Why the main hurdle isn't the technology itself, but making people feel familiar and comfortable with it. We discuss why only a minority are currently leveraging AI effectively and how to bridge that divide.

The Hybrid Training Model: Why "watching a video" isn't enough. We dive into the necessity of role-specific, interactive training that combines digital platforms with human touchpoints like mentoring, peer groups, and competitions.

From Execution to Agent Building: As AI begins to outperform humans in execution-focused tasks, the "superpower" of the future shifts. We talk about the transition to higher-level thinking, effective prompting, and delegating tasks to agentic systems.

The Leadership Mandate: Why there is no "typical profile" for an AI adopter—age and role are not predictors of success. We discuss why leaders must invest their own time in learning AI to lead by example and identify "change agents" within their teams.

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