AI is moving routine work closer to the front lines of organizations, which means companies have to rethink who makes decisions, how teams are structured, and what people need to learn.
In this episode of The Coursera Podcast, Arunav Sinha speaks with Nitin Mathur, a global marketing and digital transformation leader, about the organizational impact of AI. Nitin explains why leaders often see AI as a productivity tool when it is also changing where decision-making happens across a company.
They discuss why many AI pilots never move beyond experimentation, how companies can redesign roles and workflows, and why judgment may become more valuable than knowledge of any particular tool. Nitin also shares his perspective on deciding what to develop internally versus what to hire for, and how marketing teams can balance fast, AI-enabled work with the slower work of strategy, brand building, and creative judgment.
We also cover:
🧠 Why AI is changing where decisions get made
⚙️ What makes it difficult to scale AI across an organization
🪜 Why companies may need to hire for judgment and develop technical skills
🏢 How marketing teams can rethink their operating models
💬 How brands can stay distinctive when everyone has access to similar tools
🛡️ Why trust, customer insight, and human judgment still matter
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If you’re interested in building skills in AI, marketing, leadership, or digital transformation, you can explore courses, Professional Certificates, and learning programs on Coursera.org.
