Anthony J. Pennings, PhD

WRITINGS ON AI POLICY, DIGITAL ECONOMICS, ENERGY STRATEGIES, AND GLOBAL E-COMMERCE

(SACT)AI Monetary Coordination: Bancor vs. SDRs

Posted on | April 13, 2026 | No Comments

Citation APA (7th Edition)

Pennings, A.J. (2026, Apr 13) (SACT)AI Monetary Coordination: Bancor vs. SDRs. apennings.com https://apennings.com/the-smith-effect/sactai-monetary-coordination-bancor-vs-sdrs/

Introduction

The comparison between John Maynard Keynes’ Bancor and the IMF’s Special Drawing Rights (SDRs) reveals two distinct attempts to create a supranational monetary instrument. One was visionary and symmetric, the other pragmatic but constrained. Can one of these address today’s major global currency problems:

– USD shortages
– Eurodollar/petrodollar volatility
– BRI debt traps
– Tiered sustainable development gaps

Bancor, proposed in 1943 as the centerpiece of the International Clearing Union (ICU), was designed as a radical neutral ledger to enforce balanced global adjustment. SDRs, created in 1969, represent a more limited, dollar-compatible supplement to international reserves. While SDRs are often cited as a partial realization of Keynesian ideas, they fall far short of Bancor’s ambition in mechanics, governance, and capacity to address USD liquidity asymmetries, Eurodollar volatility, BRI debt traps, and tiered constraints on ICT4SD.[1]

Origin, Purpose, and Philosophical Foundation

Bancor emerged from Keynes’ critique of the interwar gold standard and the emerging dollar order. It aimed to create a truly neutral international monetary system that prevented persistent imbalances by enforcing symmetry between surplus and deficit nations. The goal was full employment globally, automatic recycling of surpluses, and elimination of “hot money” speculation through capital controls and a clearing union.[2] Bancor was never meant to circulate publicly but to serve as the exclusive unit for international settlements within the ICU.

SDRs were created in 1969 as a response to the Triffin Dilemma, the tension between global liquidity needs and confidence in the dollar-gold link. Their purpose was a modest supplement to existing reserves (gold and dollars) without challenging US dominance. SDRs function as a reserve asset and unit of account for the IMF, allocated to members in proportion to quotas. They were never intended as a full clearing mechanism or symmetric adjustment tool [3]

In SACT terms, Bancor sought to redesign the entire master spreadsheet with neutral Substitution and symmetric Symbolic Computing. SDRs operate as a supplementary column within the existing dollar-dominated spreadsheet.

Characteristics and Valuation

Bancor was an international bank-money, initially fixed but adjustable to gold (e.g., 1 Bancor to 1 gram of gold). Its value derived from its role as the sole clearing unit, not from a basket of currencies but from multilateral acceptance and ICU rules. It was purely accounting-based, created and extinguished through book entries.

SDRs are a composite reserve asset whose value is determined daily by a basket of five major currencies (USD ~43%, Euro ~29%, RMB ~12%, Yen ~8%, Pound ~7% as of 2026). They are not a currency but a potential claim on freely usable currencies of IMF members. Unlike Bancor, SDRs are allocated as actual reserve assets that members can exchange for hard currency.[4]

Bancor represented pure Abstraction in a neutral ledger; SDRs remain tethered to the dominant national currencies in the basket, preserving dollar centrality.

Creation and Allocation Mechanism

Bancor would be created automatically through the ICU clearing process. No initial large allocation was needed; liquidity emerged endogenously from trade imbalances. Quotas (based on trade volumes) provided automatic overdraft rights. Creation was tied directly to real economic activity and balanced by symmetric penalties.

SDRs are created through periodic general allocations decided by the IMF Board (85% majority required). Allocations are distributed proportionally to IMF quotas, heavily favoring larger economies. The largest allocation to date was SDR 456.5 billion (~$650 billion) in 2021 for COVID-19 liquidity. There is no automatic creation mechanism linked to global imbalances.[5]

The core difference is that Bancor was designed for continuous, endogenous liquidity. SDRs are episodic and quota-driven, reinforcing existing power asymmetries.

Clearing, Netting, and Adjustment

Bancor would operate through mandatory multilateral netting at the ICU. Bilateral claims to be converted to net bancor positions. Persistent surpluses faced automatic charges (1–2%) that were recycled to deficit nations. The adjustment was symmetric: surplus countries were to be pressured to revalue, import more, or lend; deficit countries could devalue or draw on facilities.[6]

SDRs have no built-in clearing union or automatic netting. They serve mainly as a reserve asset. Holders can exchange SDRs for usable currencies through the IMF’s designation mechanism, but there is no automatic penalty on surplus nations or symmetric recycling. The adjustment remains largely asymmetric, falling on deficit countries through IMF programs.

In SACT-AI terms, Bancor enables full Symbolic Computing with real-time macros for rebalancing; SDRs function as a passive supplementary cell in the dollar spreadsheet.

Governance and Sovereignty

Bancor envisioned a supranational ICU with balanced governance. Capital controls were explicitly allowed. The system prioritized global stability and full employment over national monetary sovereignty in cross-border matters.

SDRs are governed by the IMF, where voting power is based on quotas (the US holds an effective veto). Allocations require high consensus, and usage is subject to IMF surveillance and conditionality in many cases. Sovereignty concerns remain high, especially among Tier 3–5 nations wary of IMF programs.

Relevance to Current Challenges and SACT-AI Possibilities

Bancor directly addresses many of today’s problems. USD shortages (by endogenous liquidity), Eurodollar/petrodollar volatility (by neutral unit), BRI debt traps (by bancor-denominated financing with automatic restructuring), and tiered development gaps (by quota floors for Tier 5 and adaptation premiums for Tier 4).

SDRs provide useful supplemental liquidity (as in 2021) but cannot resolve root asymmetries because they remain quota-based, dollar-heavy in the basket, and lack automatic symmetric mechanisms. They supplement rather than replace the dollar spreadsheet.

Under the SACT-AI framework, Bancor can be fully realized as dynamic AI-optimized baskets, real-time multilateral netting via telecom-synchronized edge nodes, neuro-symbolic adjustment engines, and tier-calibrated rules that prioritize ICT4SD. SDRs could serve as a transitional bridge or component within a modern Bancor system, but they lack the radical symmetry and computational intelligence that Bancor + AI can deliver.[7]

Conclusion

Bancor was a bold, symmetric, clearing-focused vision designed to create a neutral master spreadsheet. SDRs are a pragmatic, limited reserve asset grafted onto the existing dollar-centric system. While SDRs represent a partial, politically feasible step toward Keynesian ideas, they fall short in scope, automaticity, and neutrality.

In the age of SACT-AI, the world now possesses the technological tools — symbolic computing, real-time telecom synchronization, and multi-agent governance — to implement a true Bancor-style architecture that resolves the structural flaws embedded since Bretton Woods. The comparison underscores a clear choice to either supplement the limited dollar spreadsheet with SDRs or upgrade to a computable, multipolar, sustainable bancor ledger under the logic of global spreadsheet capitalism.

Notes
[1] Keynes, 1943; Piffaretti, 2009; Zhou, 2009
[2] Whyman, 2014
[3] IMF, n.d.; United Nations Conference on Trade and Development, 2024
[4] IMF, 2024
[5] IMF, 2024
[6] Keynes, 1943
[7] Lenzu, 2026; Volz et al., 2024

References

AidData. (2024). Debt distress on the road to “Belt and Road”. Wilson Center. https://www.wilsoncenter.org/blog-post/debt-distress-road-belt-and-road
Bank for International Settlements. (2024). AI and the future of central banking. BIS Papers No. 145. https://www.bis.org/publ/bppdf/bispap145.htm
He, A. (2022). The digital Silk Road and China’s influence on standard setting (CIGI Papers No. 264). Centre for International Governance Innovation. https://www.cigionline.org/publications/digital-silk-road-and-chinas-influence-standard-setting
IMF. (n.d.). Special Drawing Rights (SDR). International Monetary Fund. https://www.imf.org/en/Topics/special-drawing-right
Keynes, J. M. (1943). Proposals for an international clearing union (Cmd. 6437). His Majesty’s Stationery Office. (Reproduced in IMF eLibrary, 2010). https://www.elibrary.imf.org/display/book/9781451972511/ch001.xml
Lenzu, S. (2026). Artificial intelligence and monetary policy: A framework and perspective on cyclical transmission, structural transition, and financial stability. Federal Reserve Bank of New York & NYU Stern. https://pages.stern.nyu.edu/~slenzu/Papers/Lenzu_AI_and_MP.pdf
Liu, Q. (2020). China’s One Belt One Road Initiative—A debt trap? [Master’s thesis, University of Denver]. Digital Commons. https://digitalcommons.du.edu/etd/1803/
Piffaretti, N. F. (2009). Reshaping the international monetary architecture: Lessons from Keynes’ plan (Policy Research Working Paper No. 5034). World Bank. https://documents1.worldbank.org/curated/en/373591468153546038/pdf/WPS5034.pdf
Shen, H. (2018). Building a digital Silk Road? Situating the Internet in China’s Belt and Road Initiative. International Journal of Communication, 12, 2683–2704. https://ijoc.org/index.php/ijoc/article/view/8401
United Nations Conference on Trade and Development. (2024). Digital Economy Report 2024: Shaping an environmentally sustainable and inclusive digital future. https://unctad.org/digital-economy-report-2024
Volz, U., Lo, Y. C., & Mishra, V. (2024). Scaling up green investment in the Global South: Strengthening domestic financial resource mobilisation and attracting patient international capital. SOAS Centre for Sustainable Finance. https://doi.org/10.25501/SOAS.00041078
Whyman, P. B. (2014). Keynes and the International Clearing Union. In The political economy of the Keynesian revolution (pp. 1–31). Lancashire University. https://knowledge.lancashire.ac.uk/id/eprint/11492/1/11492_whyman.pdf
Zhou, X. (2009). Reform the international monetary system. People’s Bank of China. (Speech, March 23).

Prompts

Compare bancor to SDRsIn this investigation of the operations of the Substitution-Abstraction-Symbolic Computing-Telecom Synchronization (SACT) “Stack” of Global Spreadsheet Capitalism,

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AnthonybwAnthony J. Pennings, PhD is a Professor at the Department of Technology and Society, State University of New York, Korea, teaching AI and broadband policy while holding a joint position as a Research Professor for Stony Brook University. Previously, he taught digital economics and information systems management at New York University and the Digital Media MBA at St. Edwards University in Austin, Texas, where he lives when not in Korea.

Anthony

Anthony J. Pennings, PhD was on the NYU faculty since 2001 teaching digital media, information systems management, and global economics. © ALL RIGHTS RESERVED

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