Bitcoin, AI, and Banking: A Symphony of Power in the Global Restructuring Cycle

📘 Bitcoin, AI, and Banking: A Symphony of Power in the Global Restructuring Cycle

Author: Lê Hải

Completed: October 2025

Language: English – Academic International Version

🧭 Introduction

The world is entering an unprecedented global financial restructuring cycle, where three seemingly disparate entities — Bitcoin, central banks, and artificial intelligence (AI) — converge into a new power triangle.

This convergence is not only a capital flow shift but also a redefinition of trust, data, and expectation energy, three intangible infrastructures shaping the financial-knowledge order of the 21st century.

This convergence transforms the very nature of “money,” “assets,” and “power,” shifting from physical infrastructure toward belief systems, data, and algorithms.

🎯 Research Objectives and Questions

Objectives

Identify the disintegration of traditional financial power.

Analyze the rise of decentralized and data-driven asset systems.

Evaluate AI’s role as a new layer of knowledge-based power in the global infrastructure.

Research Questions

Is financial power restructuring toward centralization or decentralization?

Is Bitcoin a symbol of financial democracy or a tool for power redistribution?

Can AI become a “global cognitive bank”?

Is the AI bubble a phase of capital energy transformation within the trust cycle?

📚 Theoretical Framework

Kindleberger – Minsky: Mania–panic–crash capital cycle, explaining collective psychological fluctuations and liquidity cycles.

Susan Strange: Power resides in trust rather than currency, foundational for the concept of “sovereignty of perception.”

Data Capitalism: Data as a new infrastructural asset, a form of soft economic sovereignty.

New Financial Power Triangle: Money – Data – Algorithm → shaping value chains and behaviors in modern financial systems.

Knowledge Power Structure: Transition from liquidity control to cognitive control — knowledge-based power replaces capital power.

📊 Quantitative Analysis

Data Sources (2010–2025)

CoinMetrics, NASDAQ AI Index, MSCI Fintech, PitchBook, IMF Digital Money Tracker, Refinitiv, FED interest rate data.

Methodology

Vector Autoregression (VAR) model with liquidity shock control to evaluate dynamic responses between capital flows, expectations, and asset prices.

Key Findings

AI–Crypto capital cycle correlation: r = 0.81

AI investment flows increased 3.5 times after the 2022–2023 crypto adjustment.

The AI bubble absorbed expectation energy withdrawn from crypto markets.

The convergence of AI + Crypto capital expected to peak in 2026–2027, corresponding to a superposition phase in the financial trust cycle.

🔥 The AI Bubble – Energy Transformation Phase

72% of AI startups have yet to produce commercially viable products.

Average valuation 12 times higher than actual revenue (PitchBook, 2025).

The bubble is not an accident, but a natural selection ritual of the intelligence system — restructuring expectations and filtering value.

“Bubbles do not burst to end an era, but to transform expectations into infrastructural energy.”

Post-bubble, cognitive energy will reconverge into three core infrastructures:

Production: AI integrated into supply chains and robotic manufacturing.

Energy: Optimized distribution of electricity, hydrogen, and batteries.

Currency: Algorithmic financial platforms and CBDCs.

🧠 Three Layers of New Power: Bitcoin – Banking – AI

Concrete Expression (2025)

Power Layer

Mechanism

Bitcoin

Decentralization of monetary power from the state

>200 million active wallets worldwide

Central Bank

Sovereignty restructuring via CBDC

134 countries in pilot programs (IMF)

AI

Creates a “knowledge bank” – behavior prediction, risk management

GPT, Gemini, Claude deeply integrated into finance & public policy

“AI does not just learn about the world — it is learning how to govern the world.”

🌍 Strategic Awareness: Economic Shock of 2026

Tech corporations (Microsoft, Google, Nvidia, Amazon) are rebuilding financial order not through products but through data ecosystems.

Central banks shift from money control to trust management.

AI + Crypto + Data = The 21st century three-tier power system.

The 2026–2027 period is not a crisis but a superposition phase — a convergence of capital, data, and knowledge.

🔬 Academic Validation

Quantitative: Data from CoinMetrics, PitchBook, IMF Digital Money Tracker, Refinitiv NASDAQ AI Index confirm co-phased AI–Crypto cycles.

Methodological: VAR analysis captures dynamic feedback between capital flows, interest rates, and expectations — suitable for nonlinear characteristics of modern financial cycles.

Theoretical: Concept of “expectation energy transformation” interpretable via financial entropy — redistribution of trust energy in a complex system.

Forecasting: Evidence from Morgan Stanley (2024) and ARK Invest Big Ideas (2025) supports the “2026–2027 peak convergence.”

Philosophical: The knowledge power system operates as an evolutionary protocol of collective cognition, where data is the cell, algorithms are the neural network, and capital is the bloodstream of the digital civilization.

🔚 Conclusion

The global financial cycle is no longer a cycle of capital, but a cycle of trust, data, and cognitive power.

AI, Bitcoin, and Banking — three movements in humanity’s new symphony — are co-authoring a post-capitalist financial architecture.

No longer “center” and “periphery” as in the 20th century.

Only a global cognitive network remains, where energy, data, and trust circulate in the eternal cycle of transformation.

📝 Abstract (English)

This study examines the convergence of Bitcoin, artificial intelligence (AI), and central banking as a triadic power structure reshaping global finance. Employing quantitative analysis (VAR models) and theoretical frameworks from financial cycles, data capitalism, and knowledge-based power, it identifies the dynamic interactions between decentralized assets, AI-driven cognitive systems, and institutional trust. Key findings reveal a high correlation between AI and crypto capital cycles (r = 0.81), indicating the AI bubble as a phase of expectation energy transformation. The convergence of AI, crypto, and central banking signals a superposition phase (2026–2027), suggesting a transition from capital-centric to knowledge-centric financial power. Philosophically, this triad constitutes an evolutionary protocol of collective cognition, where data, algorithms, and capital co-evolve. The paper contributes to understanding post-capitalist financial architecture and the emergent human–AI co-governance of knowledge and trust.

Keywords: Post-capitalist finance, AI–Crypto convergence, Knowledge-based power, Expectation energy, Superposition phase, Collective cognition

📚 References

Kindleberger, C. P. (1978). Manias, Panics, and Crashes: A History of Financial Crises. Wiley.

Minsky, H. P. (1986). Stabilizing an Unstable Economy. Yale University Press.

Strange, S. (1996). The Retreat of the State: The Diffusion of Power in the World Economy. Cambridge University Press.

Hayles, N. K. (2017). Unthought: The Power of the Cognitive Nonconscious. University of Chicago Press.

Braidotti, R. (2013). The Posthuman. Polity Press.

IMF. (2025). Digital Money Tracker.

PitchBook. (2025). AI Startup Valuation Report.