The Coming Labor Gap: A Quantitative Approximation of Workforce Deficit Under Demographic Decline and AI Transition

This paper provides an order-of-magnitude estimation of the emerging global labor gap resulting from the interaction between demographic decline and the restructuring of labor through AI and automation. While AI affects hundreds of millions of jobs, demographic contraction removes a significantly larger volume of the global labor force. By expressing both effects in FTE terms, we demonstrate a structural labor deficit that challenges existing social systems. To mitigate this, we propose the application of demurrage on idle capital and compute resources, preventing the stagnation of value in a shrinking labor market and forcing the circulation necessary for systemic equilibrium. Key Data Points Summarized Demographic Loss (2030-2050): -300 to 500 million FTE. AI Displacement (2030-2050): -100 to 150 million FTE. Net Result: A structural deficit of 50 to 150 million workers. Structural Insight: The Demurrage Necessity The crisis is not a simple imbalance ($G \neq 0$), but a loss of trajectory uniqueness ($\Delta \gg 1$). When internal market mechanisms ($N_0$) fail to resolve this multiplicity, demurrage acts as the required external selector ($N_1$). By imposing a cost on the non-use of productive capacity (capital and AI), demurrage serves as the irreducible structural support that sustains coherence, ensuring that the expansion of the system's domain—progress—is not halted by the accumulation of "dead" value."The objective of this work is not to restore determinism nor to replace it with stochasticity, but to identify regimes in which internal dynamics fail to produce a unique evolution, thereby rendering selection non-derivable from within the system."

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-05-02
DOI
https://doi.org/10.5281/zenodo.19962121
Primary Topic
Economic Development and Digital Transformation
Type
article
Field-Weighted Citation Impact
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article

The Coming Labor Gap: A Quantitative Approximation of Workforce Deficit Under Demographic Decline and AI Transition

Claudio Bresciano
Zenodo (CERN European Organization for Nuclear Research)
Economic Development and Digital Transformation
article

The Coming Labor Gap: A Quantitative Approximation of Workforce Deficit Under Demographic Decline and AI Transition

Claudio Bresciano
article en

Abstract

This paper provides an order-of-magnitude estimation of the emerging global labor gap resulting from the interaction between demographic decline and the restructuring of labor through AI and automation. While AI affects hundreds of millions of jobs, demographic contraction removes a significantly larger volume of the global labor force. By expressing both effects in FTE terms, we demonstrate a structural labor deficit that challenges existing social systems. To mitigate this, we propose the application of demurrage on idle capital and compute resources, preventing the stagnation of value in a shrinking labor market and forcing the circulation necessary for systemic equilibrium. Key Data Points Summarized Demographic Loss (2030-2050): -300 to 500 million FTE. AI Displacement (2030-2050): -100 to 150 million FTE. Net Result: A structural deficit of 50 to 150 million workers. Structural Insight: The Demurrage Necessity The crisis is not a simple imbalance ($G \neq 0$), but a loss of trajectory uniqueness ($\Delta \gg 1$). When internal market mechanisms ($N_0$) fail to resolve this multiplicity, demurrage acts as the required external selector ($N_1$). By imposing a cost on the non-use of productive capacity (capital and AI), demurrage serves as the irreducible structural support that sustains coherence, ensuring that the expansion of the system's domain—progress—is not halted by the accumulation of "dead" value."The objective of this work is not to restore determinism nor to replace it with stochasticity, but to identify regimes in which internal dynamics fail to produce a unique evolution, thereby rendering selection non-derivable from within the system."

Zenodo (CERN European Organization for Nuclear Research)
Decent work and economic growth
Openalex Percentile: Top 8%
Economic Development and Digital Transformation
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