The AI Revolution: Unlocking Tomorrow’s World Today

Dr. Jörg Storm

doi:10.5771/9783748954293

Summary

Artificial intelligence has evolved from specialized tools to comprehensive, goal-oriented systems that can learn, adapt, and soon even reason. New models that can write code, produce art, forecast market movements, and support decisions in all spheres of society are being developed every week. But this book covers more than just technology. Power exists. Ethics are a factor. It has to do with intelligence, the nature of future work, and people in general. It is up to the pioneers, leaders, and curious thinkers who must now lead us through the most disruptive time in our history.
Dr. Jörg Storm is an international keynote speaker, podcast host, and lecturer at several academic institutions. He holds a Ph.D. in Economics and is recognized for turning technological complexity into crisp, board-level decisions and measurable business outcomes.

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Bibliographic data

Edition: 1/2026
Copyright Year: 2026
ISBN-Print: 978-3-7560-3087-3
ISBN-Online: 978-3-7489-5429-3
Publisher: Nomos, Baden-Baden
Language: English
Pages: 221
Product Type: Monograph

Preface No access Pages 1 - 6
INTRODUCTION No access Pages 7 - 14
1. Case Study: The CEO’s AI Gamble No access
2. 1. 1.1 Breaking through the Disarray: The True Significance of AI No access
  2. 1.2 Breaking down the Types of AI: Narrow, General, and Super No access
  3. 1.3 Misinformation, the Media, and the Perception Gap in AI No access
  4. 1.4 Strategic Clarity: What AI Can (and Cannot) Do No access
  5. 1.5 Strategic Takeaways for Leaders No access
1. 1. 2.1 From Data Scarcity to Data Deluge: The Birth of Machine Learning No access
  2. 2.2 The Turning Point: The Data Explosion: No access
  3. 2.3 The Deep Learning Revolution: ImageNet and the New Age No access
  4. 2.4 The Transformer Era: From BERT to GPT and Beyond No access
  5. 2.5 Strategic Introspection: What the Past Tells Us about AI's Future No access
1. 1. 3.1 The Three Pillars of Machine Learning No access
  2. 3.2 Neural Networks: The Power Behind Contemporary AI No access
  3. 3.3 Beyond Neural Nets: Hybrid Models and Emerging Architectures No access
  4. 3.4 Strategic Insight: Establishing an AI-Ready Company No access
1. 1. 4.1 The Layers of Strategic Intelligence No access
  2. 4.2 Embedding AI Across the Value Chain No access
  3. 4.3 From Pilots to Platforms No access
  4. 4.4 The AI Factory Model No access
  5. 4.5 Strategic Takeaways: Power and Responsibility No access
1. 1. 5.1 People, Process, and Platforms: Operationalizing AI at Scale No access
  2. 5.2 Structuring for Scale: Org Design and AI Operating Models No access
  3. 5.3 Charting the Course for the Future: Strategic AI Development and Implementation No access
  4. 5.4 Strategic Takeaways: The AI Maturity Playbook No access
1. 1. 6.1 AI in Healthcare: Precision, Prevention, and Personalization No access
  2. 6.2 AI in Retail: The Customer Journey of Intelligence No access
  3. 6.3 AI in Manufacturing: Transitioning From Reactive to Predictive to Autonomous No access
  4. 6.4 Strategic Takeaways: Patterns, Pitfalls, and Playbooks across Industries No access
1. 1. 7.1 Architecting Modern Data Infrastructure for AI No access
  2. 7.2 What Makes Data “AI-Ready”? Labeling, Features, and Generation No access
  3. 7.3 The Economics of Data: Cost Intelligence, Storage, and Calculation No access
  4. 7.4 Strategic Takeaways: Constructing AI's Data Foundation No access
1. 1. 8.1 Skills for the AI Era: What Matters Now No access
  2. 8.2 AI and Organizational Design: Rethinking Roles and Teams No access
  3. 8.3 Redefining Purpose: Meaning, Dignity, and Identity in the AI Era No access
  4. 8.4 Strategic Takeaways: Building a Human+AI Workforce No access
1. 1. 9.1 Designing for Inclusion: Data, Teams, and Voices No access
  2. 9.2: Power and Control: Who Owns the Future of AI? No access
  3. 9.3 Regulation of AI: What the Government Can (and Cannot) Do No access
  4. 9.4 Strategic Takeaways: Moving Toward a Fair AI Future No access
1. 1. 10.1 The Multifaceted Global Regulatory Landscape No access
  2. 10.2 Corporate Power and Public Risk No access
  3. 10.3 Open Source vs Centralized Control No access
  4. No access
  5. 10.4 Algorithmic Sovereignty and Global Governance No access
  6. 10.5 Strategic Takeaways No access
1. 1. 11.1 AI's High-Impact Industries in Emerging Markets No access
  2. 11.2 Building AI Capacity: Skills, Resources, and Confidence No access
  3. 11.3 Cross-Border Collaboration: Co-Creating the AI Future No access
  4. 11.4 Strategic Takeaways: Leapfrogging Toward Equity No access
1. 1. 12.1 Challenges on the Road to AGI: Technical, Ethical, and Governance Frontiers No access
  2. 12.2 Imagining Safe AGI: Pathways to a Beneficial Future No access
  3. 12.3 Intelligence as Amplifier: AGI’s Role in Human Flourishing No access
  4. 12.4 Strategic Takeaways: Designing the Intelligence We Want No access
1. 1. 13.1 Technical Synergies: Architectures for Quantum-AI Integration No access
  2. 13.2 Applied Intelligence: Real-World Quantum-AI Use Cases No access
  3. 13.3 Barriers to Scale: Readiness, Risk, and Responsible Innovation No access
  4. 13.4 Strategic Takeaways: Preparing for the Quantum-AI Era No access
1. 1. 14.1 Cognitive Superpowers: Practical Augmentation No access
  2. 14.2 Ethics of Enhancement: Identity, Equity, and Agency No access
  3. 14.3 Regulating Augmentation: Policy, Rights, and Bioethics No access
  4. 14.4 Strategic Takeaways: Guiding the Future of Human Enhancement No access
1. 1. 15.1 Sustainable Systems: AI for Food, Water, and Cities No access
  2. 15.2 Greening the Stack: Sustainable AI Infrastructure and Practices No access
  3. 15.3 Strategy for Impact: Designing AI for Regeneration, Not Just Efficiency No access
  4. 15.4 Strategic Takeaways: Building Planetary Intelligence No access
1. 1. 16.1 Strategy before Scale: Aligning AI with Business Value No access
  2. 16.2 Metrics That Matter: Measuring Success without Hype No access
  3. 16.3 Avoiding Pitfalls: Common Mistakes in Early AI Adoption No access
  4. 16.4 Strategic Takeaways: A Readiness Checklist and AI Launch Playbook No access
1. 1. 17.1 Talent Transformation: Building an AI-Ready Workforce No access
  2. 17.2 Responsible Scaling: Governance, Ethics, and Oversight No access
  3. 17.3 Scaling Infrastructure: Tools, Platforms, and MLOps No access
  4. 17.4 Strategic Takeaways: Turning AI into a Core Capability No access
1. 1. 18.1 Learning Ecosystems: Tools and Platforms for Continuous Growth No access
  2. 18.2 Bridging the Divide: Equity, Inclusion, and Access in AI Education No access
  3. 18.3 Getting Started: Practical Steps to Enter the AI Economy No access
  4. 18.4 Strategic Takeaways: Learning as a Lifelong Competitive Advantage No access
1. 1. 19.1 Operationalizing Momentum: Culture, Storytelling, and Feedback Loops No access
  2. 19.2 Governing for Evolution: Resilience Through Ethical AI Governance No access
  3. 19.3 Strategic Takeaways: The AI Leader’s Mindset Manifesto No access
1. 1. 20.1 AI Power Concentration: Winners, Losers, and the Geopolitical Divide No access
  2. 20.2 Economic Acceleration vs. Inequality Amplification No access
  3. 20.3 Regulation, Alignment, and the Battle for Standards No access
  4. 20.4 Strategic Takeaways: Steering the Global AI Future No access
1. 1. 21.1 Redefining Progress: A New Metric for AI No access
  2. 21.2 Leadership for an Unfinished Future No access
  3. 21.3 We have The Power to Shape Our Frontier No access