Pennings, A.J. (2026, Jul 31) Why SACT Logic is the Operational Core of Tokenization. apennings.com https://apennings.com/how-it-came-to-rule-the-world/digital-monetarism/why-sact-logic-is-the-operational-core-of-tokenization/

Introduction

Last summer, I was reviewing a paper on digital spreadsheets and time-space power that had been rejected by a journal and decided a term I used, “substitution,” needed elaboration. It led to my conceptualization, using medium theory, of the SACT (Substitution – Abstraction – Symbolic Computing – Telecommunications Synchronization) framework as a way to better understand spreadsheet logic and its implications in society. This post looks at how SACT is central to the process of tokenization, and why it is important to spreadsheet capitalism.[1]

In software engineering circles, tokenization is frequently described as a purely technical event using a smart contract, choosing a token standard such as ERC-20 or ERC-1400, and minting a digital supply onto a blockchain network. But the moment we step out of the digital sandbox to tokenize a commercial office building in Nairobi, a vault of physical bullion in Zurich, or a portfolio of private credit in New York, that narrow definition collapses under its own weight.

Minting a token is easy; converting a chaotic, physical asset into a globally liquid, programmable instrument is an extraordinary feat of financial engineering.

This is where the SACT framework becomes indispensable. Far from being an adjacent theoretical model, the SACT stack is the core operational engine of tokenized Real-World Assets (RWAs). It represents the precise translation pipeline through which physical reality is formatted into programmable digital liquidity.

Deconstructing the On-Chain Pipeline

To understand why SACT is central to tokenization, we must look past the blockchain ledger itself and examine how an “off-chain asset” is remediated into digital code. An off-chain asset is any physical or traditional financial item that exists outside a blockchain network. Common examples include fiat currencies, real estate, stocks, and physical gold. These assets are linked to the digital world through tokenization.

A physical asset cannot simply “hop” onto a blockchain. For an asset to exist on-chain, it must pass through four distinct layers of computational and structural translation.

Substitution (S) is the Stripping Away of Physical Inertia

The tokenization process begins with Substitution, replacing a physical or paper asset with an explicit digital signifier in the spreadsheet grid. A commercial property deed locked in a municipal vault or a gold bar sitting in a secure facility is substituted by a digital claim, a token minted on a distributed ledger.

The primary function of Substitution is to strip away the physical inertia of the underlying asset. A physical building cannot be divided with a saw and shipped across borders to ten thousand investors; a tokenized claim on that building’s holding vehicle, however, can be fractionalized and transferred across the globe in seconds. Substitution converts a heavy, geographically bound material object into a weightless, computationally mobile entry in the blockchain ledger.

Abstraction (A) Involves Crafting the Universal Taxonomy

Raw physical assets are endlessly complex and unique. A residential apartment complex carries local zoning quirks, architectural nuances, maintenance histories, and municipal tax codes. If a global investor had to parse every hyper-local variable before making a trade, secondary markets would instantly grind to a halt.

Abstraction solves this by flattening local noise into standardized metadata and universal financial taxonomies. It retains only the essential variables required for global economic clearing: principal value, yield, maturity, purity, weight, legal jurisdiction, and transfer restrictions. Token standards (such as ERC-1400 for security tokens) are the technical manifestation of Abstraction. They ensure that a tokenized claim on Chilean copper shares the exact same informational syntax as a claim on Zambian copper or US short-term debt, rendering heterogeneous physical claims globally interoperable.

Symbolic Computation (C) Uses the Smart Contract Layer

Once an asset has been substituted into digital form and abstracted into clean metadata, it enters the domain of Symbolic Computation. This is where smart contracts and algorithmic rules take over. It applies mathematical formulas and conditional logic (IF/THEN execution) directly to the asset.

This results in automated yields, programmatic compliance, and collateral rehypothecation. Rent payments or bond coupons are automatically collected, split, and distributed to token holders’ digital wallets based on ownership percentages. Transfer restrictions dynamically verify that both buyer and seller satisfy Anti-Money Laundering (AML) and Know Your Customer (KYC) requirements before a trade can execute.
Rehypothecation of collateral is a financial practice where a bank or broker reuses the assets a client has pledged as collateral (such as securities) to secure their own borrowing or trading activities.

This practice increases market liquidity but also elevates counterparty risk and systemic leverage. Smart contracts automatically calculate loan-to-value ratios, allowing the tokenized asset to be safely pledged as collateral in decentralized lending pools.

Without Symbolic Computation, a tokenized asset is merely a static digital picture of a physical deed. Computation makes the asset active, self-servicing, and programmable.

Telecommunications Synchronization (T) Achieves the Connected Global Finality

An asset can be substituted, abstracted, and computed, but if those updates remain trapped inside a local, isolated device or server, global liquidity cannot form.

Telecommunications synchronization connects peer-to-peer database networks, satellite arrays, and high-speed communications “rails” that broadcast transaction states across global nodes simultaneously. When a tokenized asset changes hands, ownership registries, price feeds, and wallet balances update worldwide with near-instant cryptographic finality (T+0). Synchronization turns localized property claims into a 24/7, borderless market state.[2]

Why Real-World Assets (RWA) Projects Fail

Viewing tokenization through the lens of SACT does more than explain how the technology works, it provides a diagnostic tool for understanding why tokenization projects fail. Inevitably, market failures stem from an breakdown in one of the SACT layers.

Failure 1 is when an issuer mints a digital token on a blockchain (Substitution) but fails to establish a clean legal Special Purpose Vehicle (SPV) or standardized regulatory metadata (Abstraction). The result is an orphan signifier, a token that moves on-chain but carries zero legally enforceable claim in a traditional courtroom if the physical asset is damaged or stolen.

Failure 2 is when an issuer tokenizes a physical commodity or real estate asset, but fails to connect the smart contract to reliable real-world data feeds (oracles). The token becomes static and decoupled from physical reality, unable to update its valuation, adjust for physical asset degradation, or trigger automated payouts.

Conclusion

SACT as the Bridge to the Material Economy

Tokenization is far more than an exercise in blockchain programming; it is the computational remediation of physical property into globalized tokens.

By systematically executing Substitution, Abstraction, Symbolic Computation, and Telecommunications Synchronization, the SACT framework provides the crucial translation stack that converts raw, chaotic matter into organized, liquid, and programmable capital.

As regulatory perimeters solidify and institutional infrastructure matures, it is the SACT process that allows billions of dollars in traditional real-world assets to merge seamlessly with the global, always-on digital economy.

References

BlackRock. (2024). USD Institutional Digital Liquidity Fund (BUIDL) Whitepaper and Operational Framework.
European Parliament and Council. (2023). Markets in Crypto-Assets (MiCA) Regulation, Regulation (EU) 2023/1114.
Pennings, A. J. (2026, Apr 13). The Mechanics of Blockchained Treasury-Backed Stablecoins Dollars. apennings.com.
Rose, P. A., & Pennings, A. J. (2022). Knowledge, decisions, and norms: A framework for studying the structuration of spreadsheets in social organizations. Information, 13(2), 46.
United States Congress. (2025). Guiding and Establishing National Innovation for U.S. Stablecoins (GENIUS) Act, Pub. L. 119–27.

Notes

[1] My use of “medium theory” bridges classic medium theory (Friedrich Kittler, Marshall McLuhan, and Bolter/Grusin) with political economy and Science and Technology Studies (STS). My main focus is Operative Mediation, how computational representations transition directly into automated actions, using concepts from Charles Sanders Peirce. Rather than treating a medium as a passive window or container, my work argues that modern digital tools function as execution engines that actively construct economic realities. Recently I wrote essays applying Marshall McLuhan’s media laws to modern generative AI, exploring how the LLM prompt functions as the new medium shaping human consciousness. Ultimately, this framework attempts to bridge medium theory (Kittler, McLuhan, Bolter/Grusin) with political economy and Science, Technology, and Society (STS) studies to understand today’s AI systems, blockchain networks, and automated financial infrastructures using spreadsheet logic.
[2] Rails refers to providing default structures for a database, a web service, and web pages. It encourages and facilitates the use of web standards such as JSON or XML for data transfer and HTML, CSS, and JavaScript for user interfacing.
AI Prompt(s) What is the process of tokenization and how does it fit into my SACT analysis?

© 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 coordination, digital monetarism, enabling frameworks, enterprise systems, financial technology, geopolitical risk, global communications, mobile technologies, public administration, science and technology studies, smart new deal, spreadsheet logic, sustainable development, telecom policy and net neutrality
Tags: Real-World Assets (RWAs) > SACT (Substitution - Abstraction - Symbolic Computing - Telecommunications Synchronization) > Tokenization

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