GOVERNANCE AS INTELLIGENCE: A Unified Theory of Governance Alpha, assets under governance, capital allocation and alignment in intelligent systems

Authors

Keywords:

governance intelligence, enforceability, institutional economics, capital allocation, systemic risk, artificial intelligence alignment, governance leakage, economic stability

Abstract

This paper introduces governance intelligence as a fundamental state variable governing the stability of intelligent, institutional and economic systems. It advances a unifying framework in which alignment in artificial general intelligence, institutional resilience and efficient capital allocation arise from the same structural condition: the conversion of expanding optionality into enforceable internal structure under bounded capacity. The framework formalizes this condition through a dynamic relation between governance intelligence and ungoverned potential, introduces Governance Alpha as a persistent source of surplus and operationalizes governance intelligence through Assets Under Governance (AUG) as a realtime, zero-trust metric. By treating alignment as endogenous governance capacity rather than external control, the paper provides a unified foundation for AGI safety, sovereign and institutional risk assessment, capital-market design and the safe scaling of digital and tokenized economies.

References

Acemoglu, D., & Robinson, J. A. (2012). Why Nations Fail: The Origins of Power, Prosperity and Poverty. Crown Publishing.

Amodei, D., Olah, C., Steinhardt, J., Christiano, P., Schulman, J., & Mané, D. (2016). Concrete problems in AI safety. arXiv preprint arXiv:1606.06565.

Friston, K. (2010). The free-energy principle: A unified brain theory? Nature Reviews Neuroscience, 11(2), 127–138.

Hart, O., & Moore, J. (1990). Property rights and the nature of the firm. Journal of Political Economy, 98(6), 1119–1158.

Khalil, H. K. (2002). Nonlinear Systems (3rd ed.). Prentice Hall.

Koshy, T. (2001). Fibonacci and Lucas Numbers with Applications. Wiley.

La Porta, R., Lopez-de-Silanes, F., Shleifer, A., & Vishny, R. (1998). Law and finance. Journal of Political Economy, 106(6), 1113–1155.

Livio, M. (2002). The Golden Ratio: The Story of Phi, the World’s Most Astonishing Number. Broadway Books.

Merton, R. C. (1974). On the pricing of corporate debt: The risk structure of interest rates. Journal of Finance, 29(2), 449–470.

North, D. C. (1990). Institutions, Institutional Change and Economic Performance. Cambridge University Press.

Russell, S. (2019). Human Compatible: Artificial Intelligence and the Problem of Control. Viking.

Sutton, R. S., & Barto, A. G. (2018). Reinforcement Learning: An Introduction (2nd ed.). MIT Press.

Bai, Y., Kadavath, S., Kundu, S., Askell, A., Kernion, J., Jones, A., Chen, A., Goldie, A., Mirhoseini, A., McKinnon, C., et al. (2022).

Constitutional AI: Harmlessness from AI feedback. arXiv preprint arXiv:2212.08073.

Christiano, P. F., Leike, J., Brown, T. B., Martic, M., Legg, S., & Amodei, D. (2017). Deep reinforcement learning from human preferences. Advances in Neural Information Processing Systems, 30.

Ouyang, L., Wu, J., Jiang, X., Almeida, D., Wainwright, C., Mishkin, P., Zhang, C., Agarwal, S., Slama, K., Ray, A., et al. (2022).

Training language models to follow instructions with human feedback. Advances in Neural Information Processing Systems, 35.

Published

2026-01-14

How to Cite

Lungu, L. (2026). GOVERNANCE AS INTELLIGENCE: A Unified Theory of Governance Alpha, assets under governance, capital allocation and alignment in intelligent systems. International Journal of Economic Perspectives, 20(1), 157–174. Retrieved from http://ijeponline.org/index.php/journal/article/view/1262

Issue

Vol. 20 No. 1 (2026)

Section

Peer Review Articles
Copyright & Licensing

Copyright (c) 2026 Lia Lungu

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