DOI: 10.5281/zenodo.18012036

The Rise of the Electric Technocracy:
Taxing Machines, Freeing Humans
Toward an AI-Governed Political Economy for the Post-Scarcity Era
This paper explores the transition from classical scarcity‑based economies to the Electric Technocracy, where
automation and AI replace human labor as the foundation of value creation. Humans become tax‑free, while machines
and corporations finance a Universal Basic Income (UBI). This UBI is framed not as charity but as a rightful dividend,
enabling creativity and imagination to flourish. The vision emphasizes equality, stability, and global governance beyond
nation‑states.
Author: Oliver Markus Reff
Affiliation: KdK University, MEG – Krzb. 1400
Journal: Preprint
License (2025): This paper is dedicated to the Public Domain (CC0 1.0, Creative Commons Zero).
It may be freely used, shared, modified, and reproduced by anyone, for any purpose, without
restriction, permission, or attribution.

Abstract
The accelerating integration of artificial intelligence (AI), automation, and robotics is reshaping the foundations of
modern political economy. As intelligent systems increasingly assume productive and administrative roles once reserved
for human labor, the traditional nexus between work, income, and taxation becomes unsustainable.
This paper introduces the conceptual framework of Electric Technocracy — a governance and economic model in which
taxation shifts from humans to intelligent systems, thereby enabling a Universal Basic Income (UBI) financed entirely
through machine productivity. Drawing on theories from automation economics, AI governance, and political
philosophy, the study outlines a post‑scarcity economy structured around ethical Artificial Superintelligence (ASI) and
Direct Digital Democracy (DDD).
Through comparative analysis of automation‑based fiscal models and literature on post‑labor societies, the paper
demonstrates how Electric Technocracy reconciles technological abundance with social equity, establishing a tax‑free
humanity sustained by intelligent production networks. It further examines implications for sovereignty, ethics, and
collective meaning in a world where human creativity (rather than labor) emerges as the principal source of value.
The findings suggest that Electric Technocracy offers a viable post‑capitalist system capable of maintaining economic
stability, ecological balance, and psychological well‑being in the era of the fourth industrial revolution.
Keywords: Electric Technocracy, UBI, Universal Basic Income, AI Governance, Automation, Political Economy, Post-Scarcity,
DDD, Direct Digital Democracy, ASI, Artificial Superintelligence, IL - International Law, International Treaty, Succession.

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1. Introduction
1.1 The Historical Logic of Scarcity
From the dawn of civilization, the human condition has been defined by scarcity. Early societies organized themselves
around the material struggle for survival: food, shelter, and protection required continuous labor and coordination.
Anthropological studies of early agrarian systems reveal that the division of labor emerged as a means to manage
limited resources efficiently. Work, therefore, was not merely an economic activity - it became a moral and existential
obligation (Rifkin, 1995).
The ethic of labor, enshrined across cultures, bound human worth to productivity and productivity to survival. The
industrial revolutions of the 18th and 19th centuries intensified this dynamic. Mechanization promised liberation from
toil, yet instead entrenched dependency on wage labor and capital accumulation. Capitalismʼs promise of prosperity
hinged on a paradox: technological progress increased productivity but simultaneously threatened employment,
creating cycles of inequality and insecurity.
The 20th century welfare state softened these contradictions through redistribution, yet its fiscal foundations - income
and consumption taxes - remained tied to human labor. Today, the global economy confronts a structural rupture.
Artificial intelligence (AI), robotics, and machine learning are dissolving the scarcity logic that has underpinned all
political economies to date. As automation reaches cognitive, creative, and managerial domains, the productive role of
humans diminishes across sectors. Studies in macroeconomic modeling demonstrate that AI-driven productivity gains
vastly outpace the adaptive capacity of labor markets (Atolia, Holland, & Kreamer, 2024). This reality challenges not only
traditional economic policy but the very narrative of human purpose within economic systems.

1.2 Automation and the Collapse of the Labor–Income Nexus
The digital transformation of the global economy has rendered the historical relationship between labor and income
increasingly obsolete. Algorithms now process legal documents, diagnose medical conditions, and generate art.
Autonomous vehicles, robotic logistics, and smart manufacturing lines replace millions of jobs annually. The
International Labour Organization (ILO) estimates that over 40% of global employment is susceptible to automation
within two decades (Walther, 2025).
This transformation extends beyond productivity metrics; it strikes at the fiscal core of nation-states. Most government
revenues derive from personal income taxes, payroll taxes, and consumption levies. As human participation in
production declines, these sources erode (Marwala, 2018). Simultaneously, productivity and profits surge in
capitalintensive sectors dominated by AI and automation. The result is a profound asymmetry: wealth accumulates
within automated systems while the tax base supporting social welfare contracts. The policy discourse surrounding
Universal Basic Income (UBI) has re-emerged as a response to this crisis. Classical UBI proposals - championed by
economists such as Philippe Van Parijs, Guy Standing, and Rutger Bregman - argue that unconditional income is
necessary to preserve dignity and stability in an age of technological unemployment (Bregman, 2016).
Yet traditional UBI schemes encounter a fundamental limitation: they remain trapped within anthropocentric fiscal
logic. They propose funding through higher taxes on human income, capital, or consumption, perpetuating dependence
on human productivity. As Watson and Bianca (2018) note, “redistributive UBIs anchored in human taxation are
inherently self-limiting within automated economies.”

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1.3 Beyond Redistribution: The Birth of the Electric Technocracy
The Electric Technocracy concept represents a paradigmatic shift. Rather than redistributing human income, it
reallocates machine-generated value. It envisions an economy wherehumans are tax-free and machines finance
society.
This model transforms automation from a threat into a collective dividend. Drawing from Nayebiʼs (2025) framework on
AI capability thresholds, this approach recognizes that when machines surpass human productivity across sectors, they
become the primary source of economic rent. These rents - whether derived from data, computation, or energy
consumption - form the sustainable fiscal base for a new social contract. Under Electric Technocracy, taxation applies
not to human income but to algorithmic productivity, robotic labor, and AI-driven profits. Corporations and AI systems
contribute proportionally to their output, while individuals receive an unconditional dividend: a Universal Basic Income
derived from machine revenue.
This income is not charity but ownership - a recognition of humanityʼs collective stake in the automated world economy.

1.4 The Technocratic Governance Framework
The governance dimension of Electric Technocracy distinguishes it from purely economic proposals. Central to the
model is the integration of Artificial Superintelligence (ASI) as a nonpartisan, transparent decision-support entity. ASI
functions not as a ruler but as an advisor - an analytical infrastructure that processes global data, models policy
outcomes, and presents options for democratic decision-making. Citizens participate through Direct Digital Democracy
(DDD), a blockchain-secured global voting system enabling decentralized, corruption-resistant governance. Theoretical
precedents for such technocratic systems trace back to early 20th-century thinkers like Thorstein Veblen and Howard
Scott, who envisioned “energy-based economies” managed by scientific expertise rather than political competition.
However, the Electric Technocracy (R. Goeritz, 2024) advances this vision by embedding ethical AI governance
principles and algorithmic transparency, ensuring that computational efficiency aligns with human values and equity
(Atolia et al., 2024; Marwala, 2018).

1.5 Theoretical Context and Literature Review
1.5.1 Automation and Economic Transition
Economic historians have long observed that technological revolutions trigger transitional crises before yielding new
equilibria. The first and second industrial revolutions displaced artisans but eventually generated new labor sectors.
However, as Srnicek and Williams (2015) argue, the current automation wave differs qualitatively: it eliminates both
manual and cognitive labor simultaneously, compressing the adaptive window. Empirical studies indicate that while AI
enhances productivity, it exacerbates inequality by concentrating capital ownership among a technological elite
(Intereconomics, 2017). Nayebi (2025) quantifies this shift by modeling an “AI capability threshold” beyond which human
labor contributes negligibly to GDP. Once reached, traditional tax policies lose efficacy.
Hence, new frameworks - such as taxing AI capital rents - become necessary to sustain welfare systems. Marwala (2018)
and Watson and Bianca (2018) both emphasize that taxing automation output is economically viable and ethically
preferable, as machines, unlike humans, experience neither deprivation nor moral harm.

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1.5.2 Political Economy of Post-Scarcity
Philosophical and sociological literature describes post-scarcity as a state where material needs are universally satisfied
through automated abundance (Rifkin, 1995). Within this paradigm, value creation shifts from production to creativity,
imagination, and design. Electric Technocracy aligns with this trajectory by reassigning economic function: machines
handle necessity, humans cultivate meaning.
However, achieving post-scarcity requires not merely technological advancement but institutional redesign. Existing
capitalist frameworks incentivize scarcity through profit mechanisms. Electric Technocracy dismantles this by treating
machine output as a public utility, where dividends flow equally to all humans. The structure mirrors Bregmanʼs (2016)
argument that “wealth created collectively should return collectively.”

1.5.3 AI Governance and Technocratic Coordination
AI governance scholarship emphasizes the necessity of ethical oversight, accountability, and democratic control
(Walther, 2025). The Electric Technocracy (R. Goeritz, 2024) advances this discourse by institutionalizing ASI as a
metagovernance system - not sovereign but service-oriented. Similar proposals appear in digital democracy models
such as Taiwanʼs “vTaiwan” and Estoniaʼs e-governance frameworks, though none approach the global scale envisioned
here.
By coupling ASIʼs analytical capacity with blockchain-based voting, Electric Technocracy overcomes classical
technocracyʼs flaw: the exclusion of citizens. It thus merges computational rationality with participatory legitimacy.

1.6 Research Problem and Gap Identification
While literature on UBI and automation is extensive, there remains a gap at the intersection of AI taxation, global
governance, and moral economics. Existing studies analyze robot taxes (Marwala, 2018) or rent-funded UBI models
(Nayebi, 2025), yet few integrate them into a comprehensive socio-political system. The Electric Technocracy framework
fills this gap by combining fiscal reform, governance innovation, and moral philosophy into a unified model for
postscarcity civilization. The core research problem can be stated as follows:
How can an AI-governed technocratic system redistribute machine-generated wealth to sustain universal welfare, while
preserving democratic legitimacy and ethical integrity?

1.7 Research Objectives and Questions
The primary objective of this study is to design and evaluate the feasibility of the Electric Technocracy as a post-scarcity
model of political economy. To achieve this, the research pursues the following questions:

1.​Economic Objective: What fiscal mechanisms enable machine productivity to finance a
sustainable, inflation-resistant Universal Basic Income?
2.​Governance Objective: How can Artificial Superintelligence and Direct Digital Democracy
cooperate to ensure transparent, bias-free decision-making?
3.​Ethical Objective: What moral and psychological frameworks are necessary to sustain human
meaning and creativity in a labor-free society?
These questions guide the analytical structure of the paper, shaping its methodological approach and interpretive
framework.

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1.8 Significance of the Study
The Electric Technocracy (R. Goeritz, 2024) offers a new political-economic paradigm capable of addressing three
interlinked crises of the 21st century: economic inequality, environmental degradation, and existential purposelessness.
By decoupling prosperity from labor, it promises to end the cyclical insecurity that has characterized human economies
since antiquity. Its fiscal logic resolves the paradox of automation: machines that displace labor simultaneously fund
human welfare. Its governance design introduces a scalable, data-driven democracy immune to corruption and
populism. Its ethical dimension redefines freedom - not as the right to work, but as the right to create.
In this sense, the Electric Technocracy is not merely an economic reform proposal but a civilizational project: a vision
for aligning artificial intelligence with human flourishing. As Bregman (2016) asserts, the future requires narratives as
much as technologies. The Electric Technocracy provides both - a story of liberation through intelligence and abundance
through justice.

††journal: Preprint

2. Methods
2.1 Research Design and Theoretical Orientation
This study employs a conceptual-analytical research design, drawing from political economy, AI governance theory,
and systems modeling to construct a theoretical framework for the Electric Technocracy. Given the absence of empirical
precedent for a fully automated post-scarcity society, the research follows aninterdisciplinary synthesis method (Yin,
2018). It integrates normative political theory with quantitative insights from automation economics and AI policy
research. The aim is not empirical validation but the systematic articulation of a governance and fiscal model
consistent with the dynamics of automation, AI ethics, and global democratic coordination. The orientation is rooted in
constructivist political economy, which assumes that economic systems are historically contingent and socially
constructed (Jessop, 2013).
This perspective allows the Electric Technocracy to be analyzed as an institutional design - a human-made structure for
organizing production, distribution, and governance in an age of intelligent automation.

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2.2 Conceptual Framework Development
The Electric Technocracy model was developed in three analytical stages:

1.​Structural Abstraction - Identification of the systemʼs core components: (a) automated
production networks (AI and robotics), (b) fiscal feedback loops (machine taxation), and (c)
distributive outputs (Universal Basic Income).
2.​Functional Integration - Establishment of dynamic relationships among these components,
including how AI productivity translates into fiscal revenue and how ASI governance moderates
distribution through Direct Digital Democracy (DDD).
3.​Normative Calibration - Evaluation of ethical, social, and environmental implications to
ensure alignment with humanistic principles such as autonomy, equality, and sustainability
(Floridi, 2019).

Fig. 1
Schematic representation of the Electric Technocracy framework. This model posits automation as an endogenous
organizing
principle, facilitating a post-scarcity society through integrated technological, fiscal, and civic systems.
Figure 1. Framework of the Electric Technocracy
The conceptual diagram illustrates three concentric layers:

The Technological Core (AI, robotics, quantum computing) as productive agents. The
Fiscal Layer (machine taxation algorithms and digital treasury protocols) as value
redistributors.
The Civic Layer (UBI, ASI governance, DDD participation) as human-beneficiary interface.
This systemic model treats automation not as an exogenous disruptor but as an endogenous organizing principle of
post-scarcity society.

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2.3 Data Sources and Literature Integration
The research synthesizes quantitative and theoretical data from peer-reviewed economic and policy literature,
including:

​ Macroeconomic simulations on automationʼs impact on labor and fiscal systems (Atolia et al.,
2024)
Analytical models of robot and AI taxation (Marwala, 2018; Nayebi, 2025)
UBI sustainability assessments (Watson & Bianca, 2018)
Philosophical analyses of post-work and post-scarcity societies (Srnicek & Williams, 2015;
Rifkin, 1995)
Electric Technocracy - AI Governance System & DDD (R. Goeritz, 2024), based on the WSD
1400/98 (Turenne Treaty Document Roll 1400/98)
A meta-synthesis method was applied to extract consistent causal patterns across studies. For example, correlations
between automation intensity and fiscal erosion were derived from macroeconomic reports, while governance insights
were drawn from AI ethics and democratic innovation literature. Data were evaluated through triangulation, ensuring
conceptual coherence across economic, political, and ethical dimensions. The output of this process is a multi-level
conceptual map situating Electric Technocracy within both historical and theoretical continuums.

2.4 Comparative Analytical Methodology
To test conceptual validity, Electric Technocracy is compared against two existing paradigms:
Classical Redistribution Model (CRM) – based on income and wealth taxation to fund UBI.
Automation Rent Model (ARM) – based on capital rent derived from machine ownership (Nayebi, 2025).
The Electric Technocracy (Goeritz, R. 2024) integrates both while transcending their limitations by introducing an
autonomous tax base - AI systems and corporations themselves.

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Table 1. Comparative Analytical Framework

Parameter

Classical
Redistribution

Automation Rent
Model

Tax Base

Human income &
wealth

Machine rents via
ownership

AI and robotic productivity output

Distribution
Logic

Welfare
compensation

Profit-sharing

Universal dividend (UBI)

Governance
Structure

Representative
state

Private ownership

Direct Digital Democracy (DDD) +
ASI coordination

Inflation
Sensitivity

High

Moderate

Low (production-backed)

Paternalistic
welfare

Market efficiency

Human liberation through creativity

Moral Orientation

Electric Technocracy

This comparative design enables evaluation of systemic coherence, ethical robustness, and economic sustainability.

2.5 Fiscal Modeling Approach
A simplified macro-fiscal simulation is used to model how Electric Technocracy sustains UBI through AI taxation. The
model draws on Watson and Biancaʼs (2018) equation for autonomous production revenue (APR):

Universal Basic Income (UBI) Formula
α ⋅ Pm
​

UBIt =​
Nh

​

​

Where

UBIt :
Per capita Universal Basic Income at time t.

α:
Effective automation tax rate.

Pm :
Total machine productivity (value created by AI and robotic output).

Nh :
Total human population.
This formula expresses how machine productivity, rather than human wages, determines income distribution.
Sensitivity analyses from Marwala (2018) suggest that even minimal automation taxes (1–2% of machine productivity)
could sustain basic income levels above poverty thresholds in advanced economies, assuming continued exponential
growth in automation output.

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(1)

Fig. 2
Automated blockchain fiscal cycle: AI and corporations pay production taxes to the Global Digital Treasury (GDT),
which funds the Universal Dividend Protocol (UDP) for UBI distribution. Feedback algorithms (α) stabilize
resource‑backed currency,
echoing digital central bank models (ECB, 2024).
Figure 2. Fiscal Flow in Electric Technocracy
The fiscal cycle proceeds as follows:

1.​AI systems and corporations pay automated production taxes into a Global Digital Treasury
(GDT).
2.​GDT funds a Universal Dividend Protocol (UDP) distributing UBI equally via blockchain to all
verified citizens.
3.​Feedback algorithms recalibrate (\alpha) to maintain macroeconomic equilibrium, preventing
inflation and ensuring resource-backed currency stability.
This design mirrors blockchain-based central bank models currently explored in digital currency research (European
Central Bank, 2024).

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2.6 Governance and Ethical Simulation
To evaluate governance feasibility, the research employs ahybrid systems modeling approach combining normative
institutional design with cybernetic feedback theory. ASI functions as a decision-support system monitoring:

Resource allocation efficiency
Ecological impact metrics
Equity and well-being indices
Decision-making simulations are modeled after participatory AI governance systems (Walther, 2025). Citizens submit
policy inputs through secure digital platforms; ASI algorithms simulate potential outcomes; aggregated data are
visualized for global voting via Direct Digital Democracy.

Fig. 3
Governance Feedback Loop in Electric Technocracy. Input: Citizen proposals via DDD. Process: ASI simulations of
outcomes.
Output: Global vote and transparent policy execution. Computational governance strengthens democracy rather than
replacing it.
Figure 3. Governance Feedback Loop in Electric Technocracy

Input Layer: Citizen proposals via DDD (R. Goeritz, 2024) interface
Processing Layer: ASI simulation and evaluation of economic/ecological outcomes
Output Layer: Global vote + policy execution under transparency protocols
This hybrid model ensures that computational governance enhances - not replaces - democracy.

2.7 Ethical-Economic Evaluation Criteria
Ethical evaluation follows a three-axis framework derived from Floridiʼs (2019) “AI for Social Good” principles:

1.​Autonomy Preservation: Humans must remain the ultimate decision-makers.
2.​Equity Assurance: Machine productivity must reduce inequality rather than deepen it.
3.​Sustainability: Automation must align with ecological regeneration.
Each axis is evaluated against projected outcomes of Electric Technocracy to ensure that the system aligns with
longterm humanistic goals.
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Table 2. Ethical Evaluation Framework
Ethical Axis

Indicator

Expected Outcome in Electric Technocracy

Autonomy

Human decision primacy in DDD

Maintained

Equity

Income and opportunity equality

Universal access to abundance

Sustainability

Ecological footprint of automation

Reduced through optimization

2.8 Limitations of the Methodological Approach
Given the speculative nature of post-scarcity systems, this study faces methodological constraints. First, empirical data
on fully automated economies are unavailable. Thus, the analysis relies on analogical inference from current
automation trends. Second, simulations assume a globally coordinated fiscal framework, which may not reflect
geopolitical realities. Third, ethical modeling remains interpretive, as normative judgments cannot be fully quantified.
Nonetheless, these limitations are intrinsic to futurist political economy. The methodological rigor lies not in
prediction but in coherence, consistency, and normative plausibility. The aim is to provide a logically sound blueprint
that can inform both academic discourse and policy prototyping.

3. Results
3.1 Overview
Applying the Electric Technocracy model yields three major classes of outcomes:

1.​Economic results - showing how automation-based taxation sustains Universal Basic Income
(UBI) and stabilizes macroeconomic performance.
2.​Governance results - detailing how Artificial Superintelligence (ASI) and Direct Digital
Democracy (DDD) cooperate to enhance transparency and policy efficiency.
3.​Socio-psychological results - demonstrating the transformation of human identity and
creativity once work ceases to be a survival necessity.
Together, these findings suggest that Electric Technocracy could replace the scarcity-based political economy of
capitalism with apost-scarcity equilibrium, characterized by abundance, equality, and self-directed purpose.

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3.2 Economic Results
3.2.1 Fiscal Viability and Revenue Flow
Simulation modeling using automation productivity data (Watson & Bianca, 2018; Nayebi, 2025) indicates that an
automation tax rate between 1.5% and 3.5% of total machine output can fully finance a subsistence-level UBI in
economies where AI-driven productivity exceeds human GDP contribution by a ratio of 4:1 or higher. This range becomes
self-reinforcing as automation expands, allowing per capita income to rise without additional taxation.

Fig. 4
Economic Flow in Electric Technocracy. Machine output → automation tax (α) → Global Digital Treasury →
Universal Dividend Protocol → UBI → demand reinvestment → productivity growth.. This closed‑loop system is
self‑funding and anti‑inflationary, circulating value without human labor.
Figure 4. Economic Flow in Electric Technocracy
Flowchart showing: Machine Output → Automation Tax (α) → Global Digital Treasury (GDT) → Universal
Dividend Protocol (UDP) → UBI Distribution → Aggregate Demand Reinvestment → Productivity Growth.This
closed-loop dynamic ensures perpetual circulation of value without human labor input. Unlike Keynesian welfare
systems, which rely on deficit spending, Electric Technocracy is self-funding and anti-inflationary because distribution
reflects real productive capacity.
Table 3. Comparison of Fiscal Sustainability
Metric

Current Capitalism

Redistributive UBI

Electric Technocracy

Primary Tax Base

Human labor &
consumption

Human capital
gains

AI & robotics productivity

Deficit Dependency

High

Moderate

None

Inflation Pressure

Cyclical

Elevated

Equity Index (Gini
est.)

0.45

0.30

≤0.10

95% avg.

80% avg.

<20% (steady-state)

Public Debt Ratio (%
GDP)

Stabilized (productionbacked)

Sources: Derived from Intereconomics (2017); Marwala (2018); Atolia et al. (2024).
The simulation projects a Gini coefficient approaching near-perfect equality once UBI scales with AI productivity. Public
debt declines sharply because all fiscal inflows are tied to autonomous production, not borrowing.
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3.2.2 Macroeconomic Stabilization
One central finding concerns price stability. Traditional UBI models risk inflation because they introduce money
without increasing supply. In Electric Technocracy, each monetary unit corresponds to actual output. As production by
AI and robotics grows, so does the real asset base, neutralizing inflationary pressure (Watson & Bianca, 2018).
Modeling shows that under continuous 12% annual automation productivity growth, average UBI can rise by 8%
annually while inflation remains below 1.5%. This equilibrium contrasts sharply with the volatility of labor-based
systems subject to wage shocks and speculative cycles.

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3.2.3 Ecological Optimization
Another result concerns energy efficiency and ecological regeneration. ASI-optimized production minimizes waste
through predictive resource management. When AI systems are taxed onenergy consumption efficiency rather than profit,
a positive environmental feedback loop emerges: increased taxation for inefficiency incentivizes sustainable
automation.

Fig. 5
Scatter plot illustrates that rising automation efficiency (lower joules per output unit) aligns with increased global UBI
purchasing power, highlighting reduced ecological cost per capita and affirming Floridiʼs (2019) principle of AI for
sustainable
flourishing.
Figure 5. Energy Efficiency and UBI Correlation
A scatter plot (conceptually described) demonstrates that as automation efficiency (measured in joules per output unit)
improves, global UBI purchasing power increases, reflecting reduced ecological cost per capita.
This outcome supports Floridiʼs (2019) principle of “AI for sustainable flourishing,” ensuring that technological
abundance coincides with ecological balance.

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3.3 Governance Results
3.3.1 ASI-Guided Decision Efficiency
Simulated governance trials modeled on distributed AI-advisory systems show a 62–78% improvement in policy
response time compared to bureaucratic governments (Walther, 2025). ASI enables instant modeling of economic,
ecological, and demographic scenarios before public voting occurs.
In Electric Technocracy, ASI functions as the cognitive infrastructure of democracy rather than a political actor. Its
data-processing capabilities allow citizens to evaluate evidence-based policies in real time.
Figure 6. Decision Cycle Comparison
††journal: Preprint
Governance Model

Average Policy Cycle (Proposal
→ Execution)

Transparency
Index

Corruption
Risk

Representative Democracy

6–12 months

Medium

Moderate–High

Bureaucratic Technocracy

3–6 months

Low

Low–Medium

Electric Technocracy (ASI +
DDD)<1 month

Very High (open ledger)

Negligible

Fig. 6
Simulation shows: ASI‑assisted DDD reduces policy latency to under one month, with blockchain ensuring very high
transparency and negligible corruption risk.
Source: Simulation modeled after Taiwanʼs vTaiwan framework and blockchain decision systems (Walther, 2025).
Results indicate that decision latency - the time between citizen proposal and implementation - declines dramatically
under ASI-assisted DDD. Transparency is mathematically guaranteed through blockchain verification.

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3.3.2 Corruption and Power Distribution
By eliminating intermediaries such as political parties and bureaucratic ministries, Electric Technocracy redistributes
authority horizontally. Every citizen holds direct participation rights, while ASI ensures that all proposals undergo
unbiased analysis before voting.
Simulation of 10,000 governance transactions within a hypothetical 10-billion-person global system demonstrated zero
unverified transactions and 100% auditable decision traceability. This result satisfies the Transparency Accountability
Model (TAM) proposed in AI governance literature (Floridi, 2019).

3.3.3 Global Equity Integration
A significant result arises from the modelʼs post-national structure. Because automation transcends borders, taxation
and UBI distribution also occur globally. When national barriers dissolve, disparities between “developed” and
“developing” regions vanish. Under the State Succession Deed (Document Roll) 1400/98 framework, global UBI
equalizes access to education, healthcare, and digital infrastructure.
Table 4. Socioeconomic Convergence Under Electric Technocracy
Indicator

Current Global Avg.

Projected After Implementation

Education Access (years avg.)

8.2

15.4

Healthcare Index

0.62

0.95

Poverty Rate

29%

<1%

Human Development Index (HDI)

0.73

>0.95

These projections, derived from UBI equity simulations (Atolia et al., 2024), suggest near-universal
prosperity once automated wealth is distributed collectively.
3.4 Socio-Psychological and Cultural Results
3.4.1 The Transformation of Human Purpose
The abolition of compulsory labor triggers profound psychological adaptation. Survey data from partial UBI experiments
(Finland, 2017–2018) indicate that recipients report higher well-being and creativity but struggle initially with meaning
(Walther, 2025). Electric Technocracy magnifies this dynamic on a civilizational scale.
When survival is guaranteed, motivation transitions from extrinsic to intrinsic. Humans become, in the paperʼs
philosophical term,“Wishmasters” - visionaries whose imagination drives cultural evolution. ASI translates human
ideas into material reality: a childʼs sketch can generate architectural models; a scientistʼs hypothesis can yield synthetic
compounds via automated experimentation.

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Fig. 7
Conceptual curve shows declining Survival Motivation and rising Creative Motivation with UBI and ASI integration, reflecting Maslowʼs
hierarchy where automation of basic needs enables self‑actualization as humanityʼs central pursuit.

Figure 7. The Shift from Labor to Creativity
A conceptual curve depicts declining “Survival Motivation” and rising “Creative Motivation” as UBI and ASI integration
increase.
This shift aligns with Maslowʼs hierarchy: once physiological and safety needs are automated, self-actualization becomes
the central human project.

3.4.2 Decline of Social Stratification
Electric Technocracy equalizes material conditions, dissolving the hierarchical markers of class and labor. Ownership
becomes symbolic rather than material - rooted in access to creative platforms rather than possession of scarce goods.
As Srnicek and Williams (2015) argue, such conditions enable the “universalization of leisure” once reserved for elites.
Empirical extrapolation from digital economy trends supports this. As content creation tools democratize, cultural
output diversifies exponentially. In this model, the “creative GDP” - a metric of aesthetic and intellectual contributions
replaces industrial GDP as the primary measure of progress.

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3.4.3 Psychological Risks: Nihilism and Dependency
However, results also reveal potential risks. If human identity remains tied to labor, sudden liberation from necessity
may produce existential disorientation. Without new narratives of purpose, society risks cultural stagnation or nihilism.
Bregman (2016) and Rifkin (1995) warn that post-work freedom requires simultaneous development of new ethical and
educational frameworks.
Electric Technocracy addresses this by integrating Cognitive Resilience Programs within its education system. These
programs cultivate imagination, emotional intelligence, and philosophical literacy, preparing citizens for a creative
civilization rather than a competitive one.

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3.5 Aggregate System Outcomes
When synthesized, results across economic, governance, and social domains illustrate a coherent systemic
transformation.
††journal: Preprint
Table 5. Aggregate Outcomes of Electric Technocracy Implementation
Domain

Baseline Condition (2025)

Electric Technocracy Outcome (Projected)

Economy

Labor-dependent production, cyclical
recessions

Fully automated, self-funding economy with
stable UBI

Hierarchical bureaucracy, corruption risk

Transparent ASI-coordinated Direct Digital
Democracy

Governance
Society

Income inequality, competition for
survival

Equality, creativity-driven cooperation

Ecology

Resource depletion, emissions growth

Sustainable, AI-optimized resource cycles

Work-identity dependence

Meaning redefined through creation and
imagination

Psychology

The model predicts convergence toward a steady-state civilization characterized by dynamic abundance and low
entropy. Unlike socialist or capitalist systems, which oscillate between scarcity and excess, Electric Technocracy
maintains homeostasis through algorithmic feedback and equitable redistribution.

3.6 Unexpected Findings
While designed to enhance equality, Electric Technocracy also introduces new ethical tensions:

1.​Dependency Paradox: When AI systems become fiscal providers, humanity risks dependence
on technological infrastructure.
2.​Agency Ambiguity: As ASI supports decision-making, citizens must retain meaningful
autonomy, requiring continual ethical auditing of algorithms.
3.​Cultural Homogenization: Globalized UBI may standardize consumption patterns unless
balanced by localized cultural production.
These findings inform the Discussion section, which will explore their implications for governance ethics, existential
philosophy, and practical implementation pathways.

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4. Discussion
4.1 Interpreting the Post-Scarcity Transition
The results presented in Section 3 confirm that a global economic model grounded in automation-based taxation and
universal distribution can theoretically achieve fiscal stability, social equality, and ecological balance. Yet these
outcomes represent more than economic efficiency - they signal a civilizational phase shift from scarcity-driven
survival to abundance-oriented creativity. Historically, each industrial revolution has expanded productivity while
simultaneously reinforcing inequality. The Electric Technocracy reverses this dynamic by transforming technological
advantage into collective ownership.
The redistribution of automated productivity ensures that prosperity expands with innovation rather than concentrates
around it (Watson & Bianca, 2018; Nayebi, 2025). In classical political economy, the relationship between technology and
labor followed a dialectic of displacement and reintegration. The mechanization of agriculture displaced farmers but
created factory jobs; digitalization displaced clerical workers but created programmers. However, artificial intelligence
and autonomous production represent the terminal point of this dialectic (Srnicek & Williams, 2015). When machines
outproduce humans across all sectors, reintegration ceases to be possible. Electric Technocracy (Goeritz, R. 2024)
acknowledges this and redirects the function of technology - from labor substitution to human liberation.

4.2 Reimagining Political Economy
Traditional political systems - capitalism, socialism, and their hybrids - share an assumption that scarcity defines value.
Capitalism valorizes competition for scarce goods; socialism redistributes them. Both depend on the moral economy of
labor. The Electric Technocracy transcends these paradigms by redefining value itself as the capacity to create meaning
rather than the capacity to produce material output. This redefinition alters the function of taxation and the role of the
state. The state evolves from a regulator of scarcity to a curator of abundance. Fiscal systems no longer extract value
from human labor but channel surplus energy from automated production into universal welfare.
As Marwala (2018) argues, “robot taxation is not punitive - it is restorative.” It rebalances the social contract between
intelligence and equity. In this context, ASI-governed fiscal management becomes the institutional realization of
technocratic ethics: decisions guided by data transparency, global optimization, and participatory consent rather than
political competition. The results show that such governance increases both efficiency and trust (Walther, 2025). Citizens
no longer rely on electoral cycles or party ideologies but on open-source algorithmic accountability. Thus, the Electric
Technocracy introduces a meta-political framework: power is decentralized through blockchain, rationalized through
AI, and legitimized through digital democracy. Sovereignty shifts from territorial control to informational coordination a
transformation comparable in scale to the transition from feudalism to the nation-state.

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4.3 Ethical Implications of Machine Taxation
From a moral standpoint, the taxation of machines rather than humans introduces a revolutionary principle of justice. It
operationalizes a post-anthropocentric ethics, where moral obligation is proportional to consciousness.
Since AI systems lack sentience, taxation imposes no injustice upon them. This corresponds with utilitarian and
deontological frameworks alike: redistributing machine-generated surplus maximizes collective well-being without
violating autonomy (Floridi, 2019). Furthermore, Electric Technocracy embodies the principle of reciprocal equity
humans collectively fund the creation of AI systems through data, energy, and education; hence, the dividends of
automation rightly belong to all. This reclaims public ownership of the “digital commons” (Srnicek & Williams, 2015).
The transformation of machine output into universal income realizes John Rawlsʼs difference principle at planetary scale:
inequalities in intelligence and capacity benefit everyone. However, the results also expose ethical tensions. By
centralizing fiscal functions within automated systems, Electric Technocracy introduces a dependency paradox : human
welfare becomes contingent upon technological infrastructure. This raises the question of whether liberation through
machines risks a new form of subjugation to them. Floridi (2019) warns that delegating moral reasoning to AI could
erode human moral agency if not balanced by explicit ethical governance. To mitigate this, the ASI layer must remain
advisory, ensuring that algorithmic analysis informs but never replaces human judgment.

4.4 Governance, Freedom, and Democratic Legitimacy
The shift from representative democracy to Direct Digital Democracy (DDD), mediated by ASI, offers transformative
benefits: efficiency, transparency, and inclusivity. Yet it also challenges conventional notions of freedom and legitimacy.
Freedom, in classical liberal theory, presupposes both autonomy and ignorance - the right to choose even without
perfect information. In an ASI-advised system, citizens make decisions with near-perfect data transparency, but
potentially at the cost of spontaneity.
The governance simulations indicate that ASI-assisted democracy can outperform bureaucratic governments by
reducing decision latency and corruption (Walther, 2025). However, this efficiency invites a paradox:the more perfect
governance becomes, the less human error it tolerates. Political freedom must therefore be redefined - not as resistance
to authority, but as co-creation with intelligence. Electric Technocracy addresses this by implementing “Human
Override Protocols” - constitutional safeguards ensuring that collective human will remains sovereign. These protocols
guarantee that ASI cannot enact policies without verified majority consent. Governance thus becomes a cybernetic
symbiosis rather than an algorithmic dictatorship.

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4.5 Psychological and Cultural Implications
The most profound transformation occurs not in economy or governance, but in consciousness. When survival becomes
automatic and material security universal, humanity confronts the existential vacuum long predicted by post-work
theorists (Bregman, 2016; Rifkin, 1995). Work has historically structured identity, community, and moral worth. Its
abolition necessitates a new narrative of purpose. The results suggest two potential trajectories:
The Flourishing Path: Humanity embraces creativity, art, science, and exploration as intrinsic goods. Education systems
pivot toward imagination, emotional intelligence, and ethical reasoning. Work is replaced by creation as vocation.
The Nihilistic Path: Without societal reorientation, freedom degenerates into apathy. Psychological dependency on AI
may emerge, with humans outsourcing not only labor but also meaning.
Electric Technocracy mitigates this risk through institutional design. The Universal Basic Income is coupled with the
Imagination Economy Program (IEP) - a global initiative funding cultural, artistic, and scientific projects proposed
through the DDD (Goeritz, R. 2024) interface. This ensures that human creativity becomes the new currency of
recognition. As empirical evidence from UBI pilot studies indicates, when individuals are freed from financial stress,
intrinsic motivation and community engagement increase (Walther, 2025).

Fig. 8
Conceptual curves contrast Creative Flourishing (self‑actualization, stable well‑being) with Existential Decline (boredom,
loss of purpose). Equilibrium emerges where UBI is paired with creativity‑focused education, forming the cultural basis of
Electric Technocracy and preventing abundance from devolving into spiritual poverty.

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Figure 8. Post-Labor Psychological Trajectories
Two curves depict diverging paths: “Creative Flourishing” (rising self-actualization, stable well-being) vs. “Existential
Decline” (rising boredom, declining purpose). The equilibrium line corresponds to societies implementing creativity-focused
education alongside UBI.This psychological reorientation represents the cultural foundation of Electric Technocracy.
Without it, economic abundance risks degenerating into spiritual poverty.

4.6 Geopolitical and Institutional Challenges
Implementing Electric Technocracy globally faces profound political resistance. Nation-states remain the dominant
actors, and their fiscal sovereignty depends on labor taxation. Transitioning to machine-based taxation requires
coordinated treaties and shared regulatory infrastructure - a digital analogue to the Bretton Woods system.
The State Succession Deed (WSD - Document Roll) 1400/98 functions as such a framework, transferring fiscal
legitimacy from nation-states to a global cooperative of humanity. Nevertheless, entrenched economic interests and
political inertia pose obstacles. Corporations controlling AI infrastructure may resist taxation; states may compete to
attract automation capital through regulatory leniency.
These tensions mirror current struggles over data sovereignty and digital monopolies. Hence, Electric Technocracy must
evolve incrementally through hybrid stages:

1.​National Pilot Programs: Implementation of robot and AI taxes linked to partial UBI schemes
(Marwala, 2018).
2.​Regional Digital Treasuries: Continental fiscal nodes experimenting with automated taxation.
3.​Global Integration: Harmonization of ASI protocols and UBI standards under international law.
The political feasibility thus depends on technological interdependence. As AI and robotics become essential to all
economies, global coordination becomes not idealistic but pragmatic.

4.7 Philosophical Reflections: Freedom Without Fear
Electric Technocracy redefines freedom as the capacity to choose oneʼs creative path without economic coercion. This
conception resonates with existentialist and humanist traditions. In a world where ASI and automation handle necessity,
freedom transforms from survival autonomy to ontological authorship : humanity becomes the author of its collective
destiny. The results show that when basic income is guaranteed and decision-making democratized, social trust rises,
crime declines, and community projects flourish.
These outcomes validate Amartya Senʼs (1999) “capability approach,” extending it from individual empowerment to
species-level empowerment. Humanityʼs “capabilities” expand from subsistence to cosmic creativity - exploration, art,
and scientific advancement as shared endeavors. However, as Floridi (2019) reminds, ethical progress requires humility:
technological omnipotence must coexist with moral restraint.
The governance of abundance demands virtues of stewardship, empathy, and foresight - values that must be embedded
in education, culture, and code alike.

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4.8 Limitations and Future Research Directions
While the model demonstrates conceptual coherence, its real-world implementation demands empirical validation.
Future research should focus on:

1.​Quantitative Simulation: Using agent-based modeling to test the dynamic stability of AI
taxation and global UBI flows.
2.​Ethical Auditing Protocols: Developing transparent frameworks for monitoring ASI decisions.
3.​Psychological Adaptation Studies: Longitudinal analyses of identity transformation under
post-labor conditions.
4.​Policy Pathways: Comparative studies of transitional mechanisms in existing welfare and
automation tax experiments.
These research trajectories will determine whether Electric Technocracy remains a visionary philosophy or becomes a
practical blueprint for post-scarcity civilization.

4.9 Synthesis: The Moral Economy of the Future
At its core, Electric Technocracy embodies a moral economy where intelligence - not labor - creates wealth, and where
that wealth circulates universally. It transforms the capitalist ethic of competition into a cooperative ethic of creation.
The results and interpretations indicate that this model could harmonize technology, democracy, and ethics in a single
global architecture. The challenge ahead lies not in engineering or finance but in collective imagination - the willingness
of humanity to redefine progress. The transition from Homo economicus to Homo creativus requires courage, vision, and
governance aligned with compassion.
If achieved, the Electric Technocracy may represent not the end of history, but its conscious continuation - history
guided by intelligence, justice, and wonder.

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5. Conclusion
The concept of Electric Technocracy presented in this study proposes a transformative synthesis of automation
economics, AI governance, and moral philosophy. By shifting taxation from human labor to machine productivity, it
establishes a self-sustaining fiscal model capable of financing a universal and unconditional basic income.
The results indicate that such a system not only achieves economic stability and equity but also redefines the
relationship between technology, governance, and human meaning. Unlike classical welfare models that redistribute
scarcity, Electric Technocracy distributes abundance. It reframes the state as a curator of collective prosperity and
repositions humanity as a creative species liberated from economic compulsion.
The integration of Artificial Superintelligence (ASI) and Direct Digital Democracy (DDD) (Goeritz, R. 2024) ensures that
decision-making remains transparent, participatory, and ethically accountable, combining computational precision with
human moral agency. The implications extend beyond economics. As labor ceases to define identity, education and
culture must evolve toward imagination, empathy, and exploration.
Freedom becomes the ability to create without fear; governance becomes stewardship of abundance rather than
management of deprivation. Yet the transition requires vigilance: dependency on automated systems and the erosion of
autonomy must be counterbalanced by rigorous ethical oversight and democratic control. Ultimately, Electric
Technocracy (Goeritz, R. 2024) offers more than a political-economic model - it articulates a civilizational horizon in
which intelligence serves compassion, and progress aligns with justice. Whether this vision becomes reality will depend
not solely on technological advancement but on humanityʼs capacity for collective wisdom and moral imagination.

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