Pennings, A.J. (2026, Apr 13) MMT as Permission, SACT as Engine. apennings.com https://apennings.com/digital-geography/the-100-trillion-debt-era-mmt-as-permission-sact-as-engine/

Introduction

This post continues my inquiry into the “$100 trillion” debt debt future of the US. It specifically addresses the issue of why sovereign (national currency issuer) money needs a AI computational infrastructure, as well as positive economic policies and political mobilization to transform financial capacity into productive reality. Healthcare, climate resiliance, military strength are all issues that will continue to be at the forefront of political and popular concerns.

Modern Monetary Theory (MMT) has fundamentally reshaped debates about public finance by arguing that a sovereign government issuing debt in its own currency is not financially constrained in the same way as households or businesses.(Mossler, Kelton) A government that controls its own currency can always create the money necessary to purchase available goods and services.

The true limits of economic growth are not financial but physical: labor, materials, energy, productive capacity, technology, and, of course, the possibility of increasing prices when too much money meets too few goods. In this sense, MMT provides something profoundly important. It gives governments permission to think beyond artificial budgetary constraints and focus instead on real economic possibilities.

Yet permission alone does not build anything. The ability to issue dollars does not automatically construct semiconductor fabrication plants, modernize electrical grids, produce vaccines, launch satellites, or expand broadband infrastructure. Sovereign money is a necessary condition for these achievements, but it is not a sufficient one. The transition from financial capacity to physical production requires a computational infrastructure capable of coordinating millions of interdependent economic decisions.

This is where spreadsheet logic and the SACT framework become indispensable. Spreadsheet logic organizes the world into the “products” that can bought.

If MMT explains why governments can create money, spreadsheet logic explains how that money becomes organized production. The digital spreadsheet introduced a new computational grammar that transformed writing, numbers, lists, tables, formulas, and functions into an integrated system for modeling economic reality. Financial markets, corporate planning, government budgeting, and eventually artificial intelligence all inherited this grammar.

The SACT framework describes how this computational grammar operates across four interconnected layers to transform the messy world of things, people, and ideas in purchasable values.

The first layer is Substitution. Every economic activity must first be translated into alphanumeric representations before it can become computationally manageable. Workers become payroll entries. Steel becomes inventory. Electricity becomes kilowatt-hours. Hospitals become budgets. Treasury securities become digital assets. The physical world is substituted with standardized representations that computers can process. Without this initial translation, no computational coordination is possible and the world remains uncataloged.

The second layer is Abstraction. Economic life is inherently messy, heterogeneous, and locally specific. Spreadsheet logic organizes this complexity into coherent categories, taxonomies, accounts, tables, and models. Supply chains, balance sheets, engineering specifications, and public budgets become structured representations that simplify complexity without eliminating it. Abstraction transforms countless local events into a common organizational language.

The third layer is Symbolic Computation. Here the spreadsheet becomes more than a ledger; it becomes a machine for reasoning. Formulas, functions, optimization routines, statistical models, and increasingly AI algorithms compute relationships among variables. They estimate demand, allocate resources, optimize logistics, evaluate risks, forecast revenues, and simulate alternative futures. Economic planning transitions from static accounting to dynamic computation.

The final layer is Telecommunications Synchronization. Modern production depends upon globally distributed coordination. Manufacturing facilities, financial institutions, transportation systems, cloud platforms, and payment networks must remain synchronized despite operating across continents and time zones. Telecommunications networks, distributed databases, blockchain ledgers, and AI coordination systems continuously update shared economic states, allowing millions of independent actors to operate as part of an integrated global system.

Together these four layers of spreadsheet logic convert sovereign purchasing power into productive capability.

This distinction reveals an important limitation in many contemporary discussions of MMT. Much of the literature emphasizes the monetary sovereignty of the state while paying comparatively less attention to the computational infrastructures required to organize production. Creating money is only the first step. Every public investment must ultimately pass through an enormous coordination system involving engineering specifications, procurement contracts, logistics networks, labor allocation, industrial supply chains, regulatory oversight, and operational management.

Spreadsheet logic provides precisely this coordination infrastructure.

Consider a national infrastructure program. Congress authorizes spending (after reviewing relevant spreadsheets). The Treasury issues securities. Stablecoin issuers may purchase those securities as reserve assets, extending dollar liquidity throughout the global economy. Yet the construction of a bridge depends upon thousands of coordinated activities: architectural designs, environmental reviews, steel production, concrete delivery, labor scheduling, equipment deployment, quality assurance, transportation logistics, financing, inspection, and maintenance. Every one of these processes is represented, computed, monitored, and synchronized through spreadsheet logic and its digital descendants, increasingly AI.

Money authorizes production; computational media organize production.

Artificial intelligence extends this process even further. Rather than replacing spreadsheet logic, AI builds upon it. Machine-learning systems optimize procurement, forecast material shortages, coordinate shipping routes, anticipate equipment failures, detect fraud, and recommend policy adjustments. AI increasingly transforms computational representations into operational decisions, moving from modeling economic and reality toward coordinating it.

This is where operative mediation enters the discussion. Computational media no longer simply describe the economy; they increasingly participate in its operation. Models trigger transactions. Forecasts allocate resources. Smart contracts release payments. Treasury-backed stablecoins settle transactions automatically. AI systems recommend production schedules, energy distribution, and logistics planning. Representation transitions into coordinated action.

Seen from this perspective, MMT and SACT address different but complementary questions.

MMT asks whether a sovereign government possesses the financial capacity to mobilize resources. Its answer is largely affirmative, subject to the real constraints of inflation and productive capacity.

SACT asks how those resources are identified, represented, computed, coordinated, and ultimately transformed into bridges, hospitals, factories, research laboratories, satellites, and renewable energy systems.

MMT provides fiscal capacity.

Spreadsheet logic provides computational capacity.

Operative mediation provides organizational capacity.

Together they describe the transition from financial possibility to physical realization.

This synthesis also clarifies the emerging role of Treasury-backed stablecoins. If regulated stablecoins become significant purchasers of US Treasury securities, they expand the global distribution of sovereign liquidity. Mobile wallets, blockchain networks, and digital payment infrastructures can extend that liquidity to households and businesses worldwide. But liquidity alone does not produce prosperity. It must flow into productive investments organized through sophisticated computational infrastructures capable of coordinating global production.

Perhaps this is the next stage of political economy. For generations, economists debated whether governments possessed sufficient financial resources to pursue ambitious public goals. Increasingly, the more important question becomes whether societies possess sufficiently capable computational infrastructures to organize those resources effectively.

– MMT tells us that sovereign governments can finance extraordinary public ambitions.
– Spreadsheet logic and the SACT framework explain how those ambitions become operational realities.

In that sense, MMT is permission. SACT is the engine.

References

Bell, S. (2000). Do Taxes and Bonds Finance Government Spending? Journal of Economic Issues, 34(3), 603–620.
Bolter, J. D., & Grusin, R. (1999). Remediation: Understanding New Media. MIT Press.
Giddens, A. (1984). The Constitution of Society. University of California Press.
Kelton, S. (2020). The Deficit Myth: Modern Monetary Theory and the Birth of the People’s Economy. PublicAffairs.
MacKenzie, D. (2006). An Engine, Not a Camera: How Financial Models Shape Markets. MIT Press.
McLuhan, M. (1964). Understanding Media: The Extensions of Man. McGraw-Hill.
Mitchell, W., Wray, L. R., & Watts, M. (2019). Macroeconomics. Red Globe Press.
Peirce, C. S. (1931–1958). Collected Papers of Charles Sanders Peirce (C. Hartshorne, P. Weiss, & A. W. Burks, Eds.). Harvard University Press.

Rose, J., & Pennings, A. J. (2022). Knowledge, decisions, and norms: A framework for studying the structuration of spreadsheets in social organizations. Information, 13(2), 46.

Vinge, A. (1986). The Spreadsheet as a Tool for Model Building. Interfaces, 16(1), 35–44.

AI Prompt(s) Write a blog post called “MMT as Permission, SACT as Engine” with related references. Here is the argument: Modern Monetary Theory (MMT) provides the theoretical permission for economic expansion, proving that a sovereign state possesses the infinite financial capacity to fund public policy goals. However, money alone cannot build a bridge, cure a disease, or transition a power grid.

Spreadsheet logic and the SACT stack provide the operational engine. By substituting physical matter into digital signifiers, abstracting heterogenous noise into clean taxonomies, computing complex supply-chain logic, and synchronizing market states across global networks, SACT converts the chaotic, messy physical universe into a organized matrix of purchasable products. Without the SACT translation layer, MMT’s sovereign dollars float as useless signifiers; with it, sovereign money becomes an operative tool capable of re-engineering the physical world.

© ALL RIGHTS RESERVED

Not to be considered financial advice. AI is often used, and results are thoroughly interrogated. Links are used for some citations.

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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, blockchain, cryptocurrencies, data analytics and meaning, democratic political economies, digital geography, digital media economics, enabling frameworks, enterprise systems, financial technology, mobile technologies, public administration, sensing technologies, smart new deal, social media, space systems, spreadsheet logic, sustainable development, telecom policy and net neutrality
Tags: Modern Monetary Theory (MMT) > SACT (Substitution - Abstraction - Symbolic Computing - Telecommunications Synchronization) > Spreadsheet logic

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