AI for MBAs
Routledge (Verlag)
978-1-032-83248-7 (ISBN)
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A tectonic shift has begun across the global economy. AI is restructuring how companies think, act and win, and the leaders who understand this shift today will dominate the markets of tomorrow. Building upon hundreds of interviews with CEOs and founders at the forefront of the AI economy, this textbook offers a practice-oriented roadmap for the next generation of business leaders. It shows how to move beyond legacy strategy tools into the world of intelligent systems, agentic workflows and AI-native business models. Across its twelve chapters, the book traces how AI is redefining operations, competition and organizational design. It explains the new mechanics of work, the rise of autonomous decision loops, and the emerging playbooks that modern leaders use to scale faster and act with greater clarity. Looking ahead to the MBA classroom of 2050, it introduces the archetypes of the AI-enabled professional, the Centaurs, Cyborgs and Artisans, and describes how human intelligence and machine intelligence will work together in the decades to come.
This book is written for ambitious and forward-thinking MBAs, both students and those long since graduated who want more than theory. It is for readers who want to understand the tools, the models and the mindset that will define leadership in an AI-driven world, and who intend to shape that world rather than be shaped by it.
T. Alexander Puutio teaches AI and leadership at Harvard University. He is a seasoned business leader with decades of management consulting and operational strategy experience from Boston Consulting Group and the United Nations system. www.alexanderpuutio.com
Chapter 1 Adding Value in the Age of AI: A Hopeful Case for MBAs. Chapter 2 Everyone Gets the Same Supertool: Now What?. Chapter 3 Commanding the Stack: How MBAs Will Lead in the Age of AI. Chapter 4 A Short Lesson in Language and an MBA’s Guide to the Machines Now Running the Economy. Chapter 5 A Brief MBA’s History and the Linnean Family Tree of AI. Chapter 6 Machina Discens - the Learning Machine. Chapter 7 Machina Cogitantis (The Thinking Machine). Chapter 8 Machina Facientis - The Doing Machine. Chapter 9 Keeping the Tool in its Place. Chapter 10 Building an Ironclad Business Model. Chapter 11 The Unstoppable MBA and Thei r AI Stack. Chapter 12 It’s Never Over for MBAs.Glossary
| Erscheint lt. Verlag | 15.6.2026 |
|---|---|
| Zusatzinfo | 34 Tables, black and white; 1 Line drawings, black and white; 17 Halftones, black and white; 18 Illustrations, black and white |
| Verlagsort | London |
| Sprache | englisch |
| Maße | 174 x 246 mm |
| Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
| Mathematik / Informatik ► Informatik ► Theorie / Studium | |
| Wirtschaft ► Volkswirtschaftslehre | |
| ISBN-10 | 1-032-83248-7 / 1032832487 |
| ISBN-13 | 978-1-032-83248-7 / 9781032832487 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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