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Full Description
A logistics manager in Dubai reroutes ships through an AI-powered trade platform. A policymaker in Riyadh uses an AI-powered model of the national economy to test how fiscal choices affect growth, spending, and debt. A graduate in Astana is turning to an algorithmic jobs accelerator to find her path in global markets.
Across economies and institutions, artificial intelligence is rewriting the rules of decision-making, governance, and value creation. It marks the dawn of a new economic era that is powered by intelligence, driven by insight, and grounded in inclusion. AI Economics is where this transformation takes shape. It represents the fusion of data, technology, and policy into a living system of governance that anticipates shocks, adapts in real time, and empowers people through knowledge and inclusion.
This timely book explores how nations can navigate this transformation through ten defining policy questions that range from redesigning labour markets to rethinking trade, fiscal policy, and institutional trust. Each question translates the promise of artificial intelligence into a practical pathway toward a more resilient, adaptive, and participatory governance, where data becomes foresight and foresight becomes action. AI Economics is not about replacing human judgment. It is about reimagining how intelligence, in all its forms, can serve society with precision and purpose. Provocative, precise and visionary, Governing the Future challenges policymakers, economists and citizens alike to rethink how nations govern in the new age of artificial intelligence.
Contents
Chapter 1. Can we truly govern AI?
Chapter 2. How can policies be delivered to the individual?
Chapter 3. How can we assess AI Value to citizens?
Chapter 4. What makes labour markets resilient?
Chapter 5. How can AI create jobs?
Chapter 6. What builds resilience to trade shocks?
Chapter 7. Which policies truly boost trade?
Chapter 8. How can nations level up?
Chapter 9. How will manufacturing develop?
Chapter 10. What is the future for AI Economics?
Conclusion
