R&D and Generative AI is a groundbreaking exploration of how innovation, leadership, and strategy are being rewritten in the age of intelligent machines. Drawing from decades of global experience in software engineering, data sciences, and digital transformation, Dr Partha Majumdar offers a visionary yet deeply practical guide to the future of research and development—where human creativity and generative AI combine to reshape the boundaries of what enterprises can achieve. At the heart of this book lies a bold proposition: the twenty-first century marks the greatest revolution in R&D since the birth of scientific inquiry. Generative AI is no longer a tool—it is a cognitive partner capable of ideating new solutions, simulating futures, uncovering hidden patterns, and radically compressing innovation cycles. What once took years can now occur in weeks, days, or even hours. This shift is not merely technological; it represents a profound transformation in how organisations think, create, and compete. The book reveals why R&D is becoming the new economic engine of the enterprise, fuelled by a multi-trillion-dollar opportunity created by the convergence of computation, big data, and advanced algorithms. Through powerful real-world case studies—from generative electric vehicle design to AI-accelerated vaccine development—the narrative shows how Generative Ideation, Accelerated Evaluation, and Research Augmentation are revolutionising workflows and unlocking unprecedented innovation velocity. Yet Dr Majumdar goes far beyond the mechanics of AI. Drawing from Indian knowledge systems and the dharmic philosophy of balanced intelligence, he proposes a “Strength-Focused Human-AI Partnership”—a model where AI serves as the tireless information generator while humans remain the navigators of purpose, ethics, and empathy. Innovation, he argues, is not just a technical act but a moral and strategic responsibility. The book also presents a five-step blueprint for corporate rewiring—showing how leaders can reshape processes, teams, governance structures, and data ecosystems to build AI-native enterprises. It concludes with a visionary projection of the coming decades: the rise of self-driving labs, agentic organisations, and the Sentient Enterprise capable of sensing, reasoning, and adapting continuously. It paints a vivid picture of how AGI may transform scientific discovery and why human judgment will remain the indispensable compass guiding technological power. Written with clarity, depth, and philosophical insight, R&D and Generative AI is essential reading for CEOs, policymakers, scientists, engineers, strategists, innovators, and students of the future. It is not merely a book about technology—it is a roadmap for navigating an era defined by intelligent machines, ethical choices, and limitless possibilities. Through its pages, readers are invited to rethink innovation as a harmonious interplay of data, dharma, and decisive human leadership—an approach that will shape the enterprises, economies, and societies of tomorrow.