In an era where technology evolves faster than the strategies meant to control it, Strategic Management and AI: From Classical Frameworks to Continuous Intelligence redefines the essence of leadership, planning, and competitive advantage. This groundbreaking work explores how the timeless principles of strategic management - once rooted in stability and foresight - are being transformed by Artificial Intelligence into a dynamic system of continuous learning and adaptive intelligence.
Drawing inspiration from both ancient strategic wisdom and modern corporate realities, the book traces the evolution of strategic thought from the battlefield formations of the Mahabharata to the algorithmic decision engines that now steer global enterprises. It connects classical theories from thinkers like Ansoff, Chandler, and Porter with contemporary developments in machine learning, data analytics, and cognitive automation. The result is a comprehensive narrative that unites the history, structure, and future of strategic management in a single, cohesive framework.
At its core, the book reveals how AI has revolutionised every stage of the strategic process - from formulation to execution and control. It shows how Natural Language Processing enables organisations to decode customer sentiment in real time, how Generative AI supports innovation through simulation and design, and how intelligent dashboards turn key performance indicators into predictive, self-correcting systems. The book introduces concepts such as the "Sentient Enterprise," capable of real-time environmental sensing; the "Augmented Strategist," empowered by decision intelligence; and the "Cognitive Enterprise," where human and machine reasoning converge to make complex choices with unprecedented precision.
The chapters move systematically through the entire strategic cycle. Readers begin with the foundations of purpose, mission, and vision in the AI era; explore the shifting role of governance and leadership in the intelligent boardroom; and witness how AI transforms traditional frameworks like SWOT analysis, Porter's Five Forces, and the Value Chain into living, data-driven models. Later sections illuminate how strategy implementation itself is evolving - from rigid organisational hierarchies to fluid, AI-embedded structures capable of real-time alignment between decision and action. The discussion extends to performance evaluation, where predictive analytics, decision intelligence, and prescriptive systems are replacing static scorecards with adaptive guidance systems that sense deviation and correct course automatically.
The final chapters explore the broader implications of this transformation. They address the convergence of management and technology, the ethical responsibilities of algorithmic governance, and the emergence of organisations that are not merely efficient but self-aware. The book concludes by offering a vision of the "future-ready enterprise" - a structure built not for permanence, but for perpetual adaptation and purpose-driven innovation.
Meticulously researched and deeply integrative, Strategic Management and AI bridges theory and practice with clarity and vision. It appeals to corporate leaders seeking strategic foresight, academics exploring the intersection of management and machine intelligence, and students who wish to understand how classical strategy frameworks are evolving in the digital age.
The message is both timely and timeless: strategy is no longer a periodic exercise - it is a continuous dialogue between human judgment and artificial cognition. In this synthesis of heritage and innovation, the book positions AI not as a replacement for strategic thinking, but as its most powerful extension - the next chapter in humanity's enduring quest for advantage.
