Managerial Economics for Leaders in the AI Era

How Data, AI, and Economic Thinking Drive Better Decisions

In a world driven by data, algorithms, and artificial intelligence, traditional managerial decision-making is no longer enough. Leaders today must think like economists—but with modern tools.

Managerial Economics for Leaders in the AI Era bridges classical economic thinking with AI, analytics, and real-world leadership challenges. Written for managers, executives, MBA students, and decision-makers, this book goes beyond formulas and theory to focus on how decisions are actually made—and why they often fail.

This book explains managerial economics as a practical leadership discipline, not an academic subject. It shows how demand, cost, pricing, competition, risk, and incentives behave differently in an AI-powered, data-rich economy.

What You’ll Learn

• How economic thinking improves strategic and operational decisions

• Why many leaders fail due to poor marginal thinking and incentive design

• How AI and data analytics reshape demand forecasting, pricing, and cost structures

• The economics behind platforms, monopolies, and winner-takes-most markets

• How leaders misunderstand risk, uncertainty, and probability

• Behavioral biases that quietly destroy value at the boardroom level

• The real economics of AI adoption, productivity, and jobs

Who This Book Is For

✔ MBA, M.Com, and management students
✔ Business leaders, CXOs, and startup founders
✔ Product managers, consultants, and strategy professionals
✔ Policymakers and senior executives
✔ Anyone who wants to make better decisions in the AI age

Why This Book Is Different

• Minimal mathematics, maximum decision clarity

• Real-world business and leadership cases (India + global)

• AI, cybersecurity, and analytics woven naturally into economics

• Designed for leaders, not theorists

• Each chapter includes decision frameworks and executive takeaways