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This paper establishes a formal economic theory of "cognitive debt," arguing that substituting first-principles reasoning with AI tools accumulates systemic fragility similar to financial leverage. The model predicts that rational agents will over-adopt these substitutes during tranquil periods, leading to convex crisis losses and potential long-term erosion of unaided cognitive capital across the population. For researchers in AI safety and societal impact, this work provides a rigorous framework for understanding how widespread tool adoption can destabilize collective reasoning capabilities without immediate failure signals.
Cognitive Debt: AI as Intellectual Leverage and the Dynamics of Systemic Fragility
arXiv:2606.15078v1 Announce Type: new Abstract: We develop a formal theory of cognitive debt: the stock of unverified reasoning obligations that accumulates when individuals use AI as a substitute rather than a complement for first-principles cognition. The model features two state variables per agent, cognitive capital and cognitive debt, and a multiplicative production technology in which cognitive capital functions as collateral that determines the return to AI adoption. We establish six propositions. Rational agents incur positive cognitive debt because the costs are deferred, partially external, and masked by short-run productivity gains. Tranquil periods lower subjective risk assessments, raise AI substitution intensity, and compound leverage, generating a cognitive Minsky moment in which subjective risk falls while true systemic fragility rises. Expected crisis losses are convex in aggregate leverage. Post-crisis, output-target pressure can produce a false-correction loop in which agents patch AI failures with more AI. The decentralised equilibrium over-adopts substitutive AI relative to the social optimum because of systemic risk, cognitive public goods, and arms-race externalities. In a two-type heterogeneous-agent economy, high-cognitive-capital agents adopt AI more intensively and may eventually erode their unaided cognitive capital below that of initially lower-skilled agents.
Abstract:We develop a formal theory of cognitive debt: the stock of unverified reasoning obligations that accumulates when individuals use AI as a substitute rather than a complement for first-principles cognition. The model features two state variables per agent, cognitive capital and cognitive debt, and a multiplicative production technology in which cognitive capital functions as collateral that determines the return to AI adoption. We establish six propositions. Rational agents incur positive cognitive debt because the costs are deferred, partially external, and masked by short-run productivity gains. Tranquil periods lower subjective risk assessments, raise AI substitution intensity, and compound leverage, generating a cognitive Minsky moment in which subjective risk falls while true systemic fragility rises. Expected crisis losses are convex in aggregate leverage. Post-crisis, output-target pressure can produce a false-correction loop in which agents patch AI failures with more AI. The decentralised equilibrium over-adopts substitutive AI relative to the social optimum because of systemic risk, cognitive public goods, and arms-race externalities. In a two-type heterogeneous-agent economy, high-cognitive-capital agents adopt AI more intensively and may eventually erode their unaided cognitive capital below that of initially lower-skilled agents.
46 pages, 3 figures. Preliminary version; comments welcome
Artificial Intelligence (cs.AI); Computer Science and Game Theory (cs.GT); Physics and Society (physics.soc-ph)
arXiv:2606.15078 [cs.AI]
(or arXiv:2606.15078v1 [cs.AI] for this version)
https://doi.org/10.48550/arXiv.2606.15078 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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