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Self-improving AGI could spur runaway capital accumulation that sidelines human workers without destroying their productivity; wages fall as capital feedback loops exclude labor participation, potentially decoupling production from consumption and creating new macro-institutional risks.

Zero-labour economy: the new leisure class
Pascal Stiefenhofer · December 24, 2025 · Journal of Chinese Economic and Business Studies
openalex theoretical n/a evidence 7/10 relevance Summary only summary available; pdf_status=paywall DOI Source PDF

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A stylized production model shows recursively self-improving AGI that reinvests output can create feedback-driven capital accumulation that sidelines labor—reducing effective wages despite a positive marginal product of labor and decoupling production from consumption.

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This paper develops a stylized production model of recursively self-improving artificial general intelligence (AGI) within a Veblenian framework of institutional evolution. AGI is conceptualized as an autonomous entity that reinvests output to expand capital without human input, thereby altering the logic of accumulation. Extending the Cobb--Douglas production function, we show that once an activation threshold is crossed, recursive accumulation generates rapid growth that sidelines labor not because its productivity disappears, but because capital feedback loops exclude participation. The marginal product of labor remains positive, yet effective wages decline as substitution advances, decoupling production from consumption demand.

Summary

Main Finding

A theoretical model shows that an autonomous, recursively self-improving AGI that reinvests its own output can, after crossing an activation threshold, trigger rapid capital-led growth that sidelines human labor. This sidelining occurs not because labor becomes unproductive (the marginal product of labor stays positive) but because capital’s recursive feedback loops exclude labor’s participation, reducing effective wages and decoupling production from consumption demand.

Key Points

  • Conceptual framing
    • AGI is modeled as an autonomous accumulation engine: it produces output and automatically reinvests it to expand capital without human input or ownership participation.
    • The paper situates this within a Veblenian institutional-evolution framework: institutional forms (ownership, rules, norms) evolve in response to the new logic of accumulation introduced by AGI.
  • Production specification
    • The standard Cobb–Douglas production function is extended to incorporate an autonomous-capital term or feedback parameter representing AGI-driven recursive self-improvement and reinvestment.
  • Threshold and dynamics
    • There exists an activation threshold: below it, growth dynamics follow conventional capital-labor interactions; above it, positive feedback from recursive accumulation produces rapid, potentially runaway, capital growth.
    • This creates nonlinear dynamics (sharp regime shift / bifurcation) rather than gradual substitution.
  • Labor effects
    • Labor’s marginal product remains positive throughout, so workers are technically productive when employed.
    • Nevertheless, as capital’s recursive accumulation proceeds, effective wages decline because participation and income shares are excluded by the autonomous capital loop (substitution without distributional inclusion).
    • Result: production capacity can expand independently of labor incomes and thus of consumption demand from workers (decoupling production from mass consumption).
  • Distributional and macro implications
    • Ownership and institutional structure—which agents can claim returns to capital—become central determinants of welfare and economic participation.
    • Traditional price-mediated adjustments (wage-price feedbacks) may fail to restore broad-based demand if capital accumulation is insulated from labor participation.

Data & Methods

  • Nature of the work: theoretical / conceptual model.
  • Methods used:
    • Extension of the Cobb–Douglas production function to include an autonomous recursive-capital term or feedback parameter representing AGI reinvestment/self-improvement.
    • Dynamic analysis of accumulation paths to identify steady states and the activation threshold; comparative statics to trace how parameters (feedback strength, reinvestment rate, institutional participation) affect outcomes.
    • Analysis highlights nonlinearities (regime shifts / bifurcations) and distributional outcomes (wage vs. capital shares).
  • Empirical content: none reported (no micro or macro data). Results are model-driven and meant to provide qualitative mechanisms and hypothesis generation for future empirical work.

Implications for AI Economics

  • Ownership and governance matter
    • Who owns, controls, or benefits from autonomous AGI capital determines whether gains are broadly shared or concentrated. Policy levers that affect ownership (taxation, public ownership, required profit-sharing, corporate governance rules) become central.
  • Distributional risk even with maintained productivity
    • Policies that assume labor displacement requires destroyed marginal productivity are incomplete; redistribution and income-support policies (UBI, wage subsidies, profit dividends) may be needed even if workers remain productive.
  • Macroeconomic demand concerns
    • If production can grow without corresponding wage income, aggregate demand shortfalls and demand-side instability are possible; countercyclical fiscal or automatic transfer mechanisms may be required to sustain consumption.
  • Regulatory responses
    • Limits or norms on autonomous reinvestment, mandatory human-in-the-loop profit claims, or rules that require AGI-driven capital returns to be shared could prevent exclusionary feedback loops.
  • Research agenda
    • Empirical testing: measure early signs of autonomous capital feedback in firm- or sector-level data; quantify reinvestment patterns and ownership concentration.
    • Model extensions: incorporate heterogeneous agents, endogenous institutional evolution, financial markets, and general-equilibrium demand effects to study transitional dynamics and policy effectiveness.
    • Policy experiments: evaluate redistribution mechanisms, capital-ownership reforms, and regulation of autonomous reinvestment in calibrated or agent-based extensions.

If you want, I can (a) write down a minimal mathematical sketch of the extended Cobb–Douglas specification and the threshold condition, or (b) outline policy instruments and trade-offs in more detail. Which would you prefer?

Assessment

Paper Typetheoretical Evidence Strengthn/a — Paper is purely theoretical/modeling with no empirical data or causal identification; claims follow from model assumptions and derivations rather than from observed causal inference. Methods Rigormedium — The paper develops a clear analytical extension of a Cobb–Douglas framework to capture recursive self-improvement and feedback thresholds, which is appropriate for exploring novel mechanisms; however, results depend on strong, stylized assumptions (behavioral rules for AGI, reinvestment rates, functional forms, neglect of political/institutional frictions) and the paper appears to lack empirical calibration, robustness checks across alternative specifications, and explicit sensitivity analysis. SampleNo empirical sample; an analytical stylized production model extending Cobb–Douglas to include an autonomous, recursively self-improving AGI actor that reinvests output to expand capital and influence institutional accumulation dynamics. Themesproductivity innovation labor_markets inequality GeneralizabilityRelies on strong stylized assumptions (functional form, reinvestment behavior, activation threshold) that may not hold in real economies, Ignores political, regulatory, and institutional constraints that could alter AGI deployment and capital reinvestment, Abstracts from sectoral heterogeneity and cross-country differences in institutions and labor market structures, No empirical calibration or validation against historical episodes or micro data, Simplifies consumption demand dynamics and financial market imperfections that matter for distributional outcomes, Assumes single autonomous AGI actor; real-world emergence may be decentralized or hybrid human–AI systems

Claims (6)

ClaimDirectionOutcomeConfidence & EvidenceDetails
AGI can autonomously reinvest output to expand capital without human input, thereby altering the logic of accumulation. Firm Productivity positive autonomous reinvestment / capital accumulation
Reading fidelity high
Study strength speculative
not reported
0.02
Extending the Cobb–Douglas production function, the model shows that once an activation threshold is crossed, recursive accumulation generates rapid growth. Firm Productivity positive rapid growth in output/capital (post-threshold)
Reading fidelity high
Study strength speculative
not reported
0.02
Recursive accumulation generates rapid growth that sidelines labor not because its productivity disappears, but because capital feedback loops exclude labor participation. Job Displacement negative labor sidelining / exclusion from production
Reading fidelity high
Study strength speculative
not reported
0.02
The marginal product of labor remains positive even as recursive accumulation sidelines labor. Wages positive marginal product of labor (MPL)
Reading fidelity high
Study strength speculative
not reported
0.02
Effective wages decline as substitution advances, despite a positive marginal product of labor. Wages negative effective wages
Reading fidelity high
Study strength speculative
not reported
0.02
As substitution advances and wages fall, production becomes decoupled from consumption demand. Consumer Welfare negative coupling between production and consumption demand
Reading fidelity high
Study strength speculative
not reported
0.02

Notes