Pennings, A.J. (2026, Apr 24) From Gold to Grid and the “Information Standard” to the SACT-AI Engine. apennings.com https://apennings.com/dystopian-economies/from-gold-to-grid-the-information-standard-to-the-sact-ai-engine/

Introduction

The transition from the gold-backed stability of Bretton Woods to the volatile, data-driven world of the late 20th century was not merely a shift in policy, it was a shift in logic. That shift continues with the adoption of the SACT-AI engine/platform in the global monetary system.

Walter Wriston’s conception of the Information Standard was a revolutionary pivot in political economy. He argued that the collapse of Bretton Woods did not create a vacuum of order, but rather installed a “new disciplinarian” far more rigorous than gold. It was a collective, real-time judgment of the global digital marketplace. Now we have an opportunity to revisit the Bretton Woods conference and consider the proposal by John Maynard Keynes.[1]

The Information Standard as Global Panopticon

Wriston argued that the gold-backed international currency framework that shaped the global economy after World War II has long been replaced by a new techno-structural system of computerized transactions, news flow, risk management, and technical analysis based on the USD and the collateral strength of US Treasuries. Wriston viewed the emerging global telecommunications network as a digital panopticon surveilling the world. Unlike the gold standard, where a country could “cheat” by temporarily suspending convertibility or hiding its reserves, the Information Standard relied on transparency forced by technology. In the 19th century, it took weeks for the news of a failed harvest or a reckless budget to reach London. Under the Information Standard, the “votes” of the market are cast in milliseconds.[2]

Wriston famously argued that the “twilight of sovereignty” was caused by the inability of borders to stop the flow of information. If a state acted against the interests of the global “Information Standard,” the capital it required for survival simply vanished into the electronic ether.

Under the Information Standard, a nation’s currency and creditworthiness became a “referendum” on its internal policies. If a government inflated its currency or mismanaged its debt, the news was telegraphed and televised across the world instantly, lighting up newly networked screens, and resulting in an immediate capital flight that functioned as a digital coup d’état.

While Walter Wriston correctly identified the emergence of the “Information Standard,” where the value of a currency was determined by the “votes” of the market, the physical manifestation of this standard was the birth of Spreadsheet Capitalism. This era was defined by the migration of economic rationality into microprocessor-based, grid-oriented global environments like the Reuters Monitor and the Bloomberg Terminal.

Reuters Monitor is the First Global Grid

Before 1973, financial information was siloed and slow. The Reuters Monitor, launched just as Bretton Woods collapsed, was the first microprocessor-based innovation to create a real-time “master spreadsheet” for the world. Oil uncertainties played into its success as did the Arab-Israeli War.

The Monitor transformed the chaotic “Information Standard” into a discrete set of coordinates on the shared grid. Each screen was essentially a static spreadsheet where bid/ask prices for currencies were “cells” updated via rapidly innovating Telecommunications Synchronization. Banks paid to access the money prices on Monitor, but also paid to list their own prices.

Traders stopped looking at gold-convertibility assurances or physical ledgers and started looking at a digital grid. This was the first step in spreadsheet Abstraction, the realization that money was no longer a thing, but a computable variable in a global microprocessor network. Trading desks, connected via slow telexes, had been career graveyards. That changed after Nixon took us off the gold standard, and new technologies were ready to speed up the action.

How Spreadsheet SACT Logic Facilitated Discipline

The “discipline” Wriston described was not just abstract sentiment; it was operationalized through spreadsheet logic, the reduction of complex national narratives into computable, comparable cells in a grid.

Spreadsheet logic forced countries to substitute their unique political priorities for standardized “performance indicators.” A nation’s health was no longer measured by its social cohesion, but by its cell on a Bloomberg terminal, specifically its Debt-to-GDP ratio or its 10-year Treasury yield. Countries fell into a tiered system under the USD.

The formulaic gaze abstracted reality into financial codes and representational grids. Microprocessor-based innovations like the Reuters Monitor and the Bloomberg “box” allowed for Abstraction. By treating a country as a row in a spreadsheet, the market could apply “formulas” (like the Black-Scholes model or VAR risk assessments) to determine its “value.” If the formula yielded a negative result, the “discipline” was automatic and algorithmic.

With the rise of high-speed computing, the “audit” of a nation became a continuous process. There was no “batch processing” of justice; if a central bank official head made a hawkish comment, the spreadsheet updated the “Interest Rate” cell instantly, triggering an automated sell-off.

Telecommunications via microwave towers, orbiting satellites, and undersea cables created global synchronicity of financial terminals. A policy change in Brazil was immediately visible in Tokyo and New York. This temporal coordination ensured that there was “nowhere to hide” for a recalcitrant nation, cementing the discipline of the Information Standard.

The Bloomberg “Box” Standardized the Spreadsheet

If Reuters built the global communications grid, Michael Bloomberg’s “box” (the Bloomberg Terminal) provided the Symbolic Computing power to manipulate it. With integrated analytics, the terminal moved beyond simple price-reporting to complex calculations. It embedded “Spreadsheet Logic” into the hardware itself. With the hit of a function key, a trader could perform a Bond Yield analysis or use one of many pre-programmed macros to model future cash flows and perform other analytics.

The primacy of the financial terminal created a proprietary version of the “Information Standard.” Being in the market meant being at a financial terminal, and the Bloomberg spreadsheet became the most popular. This technology was Substitution in action. The terminal’s data became a more “pristine” reality than the physical economy it supposedly represented.

Microprocessor Innovation and the “Formulaic” Economy

The proliferation of the microprocessor (Intel 8080 and its successors) allowed Spreadsheet Capitalism to scale. Platforms like BlackRock’s Aladdin and LSEG’s Workspace took the initial grid logic of the 1970s and added layers of Abstraction through risk-modeling algorithms. Personal computers, with their microprocessors, accelerated spreadsheet processing with Apple and VisiCalc, and with IBM and Lotus 1-2-3. Other spreadsheets emerged, such as Microsoft’s Multiplan, which was redeveloped for the Apple Mac’s GUI and became Excel when Windows emerged.

Spreadsheet logic introduced “What-If” analysis to global governance. National economies were no longer managed through historical wisdom but through simulations run on digital ledgers that stretched formulation across time and space.

With electronic treasuries created in the 1980s, US Treasuries became the “pristine collateral” of this system precisely because they were the most liquid and computable entries in the global spreadsheet. They were the “hard-coded” constants upon which all other variable formulas (Eurodollars, derivatives, swaps) depended. US Treasuries, combined with trade surpluses, Eurodollars, and petrodollar infusions, created a worldwide liquidity vehicle called the “USD.”

The Transition to SACT-AI

The “Information Standard” drew on SACT (Substitution, Abstraction, Computing, and Telecommunications) layers, turning the “messy reality” into cell values and abstracted instruments that could be registered and traded worldwide. However, Spreadsheet Capitalism remained human-dependent and batch-oriented in its high-level decision-making. As we move toward Bancor/ICU, the SACT-AI engine’s computable logic ensures the master balance sheet of humanity’s wealth remains in a state of sustainable, symmetric balance.

It moved from manual to reinforcement learning. Instead of a human trader entering a “What-If” scenario on a Bloomberg terminal, Q-learning agents continuously evaluate the global ledger for symmetry and stability.[3]

Instead of only punishing the “weak” (debtors), the Q-learning agent in SACT-AI Bancor/ICU applies the same spreadsheet discipline to “surplus” nations. If a country hoards capital, the system’s reward function, seeking global stability, imposes an automatic penalty on its Bancor-weighted quota.[4]

To move from static grids to more dynamic policies, PPO (Proximal Policy Optimization) added to the SACT-AI Bancor/ICU engine acts as a real-time auditor of the Information Standard, ensuring that a multipolar reserve basket buffers the volatility identified by Wriston.[5]

PPO provides the contextual audit when it ensures that discipline is “smart.” It can distinguish between a deficit caused by mismanagement and a deficit caused by an “Information Standard” shock or a sustainability transition. It fine-tunes liquidity to ensure “Stability with Scale,” maintaining reliable performance as size or volume grows.[6]

While Wriston’s Information Standard provided discipline, it was often procyclical and asymmetric, punishing Tier 5 economies while allowing Tier 1 hegemons to run deficits without immediate “spreadsheet” consequences, much like the Triffin Dilemma. The SACT-AI Bancor ICU upgrades this discipline from a “market-based punishment” to an “algorithmic symmetry.”

With SACT-AI’s Bancor/ICU engine, Wriston’s “Information Standard” can be finely tuned. The discipline is no longer a tool of the powerful used to enforce “spreadsheet capitalism” on the weak, but a universal, computable logic that ensures the master spreadsheet of humanity remains in a state of sustainable, symmetric balance.

In this view, the “Information Standard” wasn’t the final destination; it was the training data for the automated, symmetric global order that SACT-AI is designed to realize.

Summary

The blog post explores the transition of the global monetary order from the physical gold standard of Bretton Woods to Walter Wriston’s “Information Standard,” and finally to the proposed SACT-AI (Substitution, Abstraction, Computing, and Telecommunications) Artificial Intelligence framework. It argues that money has transitioned into “Spreadsheet Capitalism,” where national economies are managed and disciplined by digital grids.

The post concludes that while the previous Information Standard was asymmetric and punished the weak, the new SACT-AI engine, using Q-learning for symmetry and PPO for adaptive fine-tuning, realizes Keynes’s vision of a balanced, multipolar global ledger.

References

Pennings, A.J. (2010, Oct 03) How IT Came to Rule the World-The Information Standard and Other Sovereignties. apennings.com https://apennings.com/dystopian-economies/the-information-standard/
Pennings, A.J. (2021, Jun 08). Show-Biz: The Televisual Re-mediation of the Modern Global Economy. apennings.com https://apennings.com/how-it-came-to-rule-the-world/digital-monetarism/show-biz-the-televisual-re-mediation-of-the-modern-global-economy/
Schulman, J., Wolski, F., Dhariwal, P., Radford, A., & Klimov, O. (2017). Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347.
Watkins, C. J., & Dayan, P. (1992). Q-learning. Machine learning, 8(3-4), 279-292.
Wriston, W. B. (1992). The Twilight of Sovereignty: How the Information Revolution is Transforming our World. Scribner.

Notes

[1] I first wrote about the Information Standard as part of my PhD dissertation on Symbolic Economies and the Politics of Global Cyberspaces (1993). In the “Information Standard and Other Sovereignties” I used the newly published book to articulate the change that had occurred with the end of gold convertability ordered by President Nixon in 1971. The results were somewhat dissappointing but as I was living in New Zealand at the time, I could see how the Information Standard was disciplining the small country.
[2] Walter Wriston was the CEO and Chairman of Citicorp and considered a major innovator of the ATMs and CDs (Certificate of Deposits) Wriston, W. B. (1992). The Twilight of Sovereignty: How the Information Revolution is Transforming our World. Scribner.
[3] Watkins & Dayan, (1992) is a seminal work on Q-Learning.
[4] ibid.
[5] Schulman et al.(2017) introduced PPO.
[6] Schulman, J., Wolski, F., Dhariwal, P., Radford, A., & Klimov, O. (2017). Proximal policy optimization algorithms. arXiv preprint arXiv:1707.06347.
https://doi.org/10.48550/arXiv.1707.06347

Prompt: Describe how Walter Wriston’s “Information Standard” actually became what I call spreadsheet capitalism through the use of spreadsheet logic in Reuters’ Monitor, the Bloomberg “box” and other microprocessor-based innovations.

© ALL RIGHTS RESERVED

Not to be considered financial advice. AI is often used, and results used are thoroughly interrogated. Citations are often in the links.

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Anthony J. Pennings, PhD is a Professor at the Department of Technology and Society, State University of New York, Korea and a Research Professor for Stony Brook University. He teaches AI and broadband policy. From 2002-2012 he taught digital economics and information systems management at New York University. He also taught in the Digital Media MBA at St. Edwards University in Austin, Texas, where he lives when not in Korea.

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Category: artificial intelligence, crisis communications, cryptocurrencies, data analytics and meaning, democratic political economies, digital geography, dystopian economies, enabling frameworks, financial news, financial technology, spreadsheet logic, the smith effect
Tags: (SACT)AI Solutions > Information Standard > PPO > Q-Learning > reinforcement learning (RL) > Spreadsheet logic > Walter Wriston

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