About the Book – AI, Platform Capitalism, and Economic Thought
Is classical economics still valid in the age of algorithms, data monopolies, and artificial intelligence?
The book traces how economic thought — from Adam Smith to Keynes and Schumpeter — must evolve to explain a world where value is no longer produced by labor and capital alone, but by data, platforms, and learning systems.
Through real-world case studies and new theoretical models, AI Economy shows how digital platforms are rewriting the rules of productivity, inequality, and competition — and how policymakers can regain control of this new landscape.
Expected release: Early 2026 Publisher: Self-published via Amazon (Kindle + print-on-demand)Academic & Thought Leadership
- “David Ricardo in the Age of AI” — exploring comparative advantage when algorithms do the work.
- “Beyond Marx: Externalities in the Age of Tech Oligarchy and Digital Class Struggle” — with Vítor Lima.
- “Milton Friedman and AI Capitalism” — how monetarism fails to capture value creation in digital economies.
- “Predistributive vs. Redistributive Economics in the Platform Era” — published in Polis Doxa – The Transitions Letter.
- “AI as the New Invisible Hand” — forthcoming article linking behavioral economics and machine learning.
- “Marx: Tech Oligarchy and the Digital Transformation of Class Struggle” — presented at ICBTEdinburgh 2025.
- “Marketing to machine customers: a paradigm shift in consumer dynamics” — Brazilian Journal of Business 2024.
- “Milton Friedman’s Economic Theory in the Age of AI and Platform Capitalism: A Critical Reassessment” — Studies In Social Sciences Review 2025.
- “David Ricardo in the Age of Artificial Intelligence: The Relevance of Comparative Advantage in the 21st Century” — Global Journal of Economic and Finance Research 2025.
- “Beyond Marx: Externalities In The Age Of Tech Oligarchy And Digital Class Struggle” — Studies on the collective in society 2025.
Why It Matters
AI is not just transforming industries — it’s rewriting the logic of economics itself.
Understanding these shifts is essential for policymakers, economists, and innovators who want to stay ahead of systemic change.