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 "name": "Walrasian equilibrium",
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 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0000-0003-0757-275X"
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   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/5886442-001",
   "identifier": "kaal:claim:5886442-001",
   "text": "AI-to-AI systems instantiate continuous, recursive Walrasian equilibria and at the same time eliminate the five foundational constraints that have defined economic science for over a century.",
   "abstract": "AI2AI systems instantiate continuous, recursive Walrasian equilibria while simultaneously eliminating the five foundational constraints that have defined economic science for over a century.",
   "citation": "Wulf A. Kaal, The AI-to-AI Economy and the Collapse of Anthropocentric Economic Theory (2025). SSRN: https://ssrn.com/abstract=5886442",
   "datePublished": "2025",
   "claim_type": "mechanism",
   "confidence": "argued",
   "is_failure_mode": false,
   "scope_conditions": [
    "holds in the agentic layer where autonomous agents produce, negotiate and reinvest value",
    "presupposes unbounded computational rationality, informational symmetry, zero latency coordination and near zero marginal replication costs"
   ],
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   "@id": "https://wulfkaal.github.io/claims/6655138-018",
   "identifier": "kaal:claim:6655138-018",
   "text": "Recursive equilibrium under Computative Economics is not static equilibrium but equilibrium over the dynamics of generation, with the fixed point located in the rate and structure of action-set expansion rather than in a stationary action set.",
   "abstract": "Recursive equilibrium under Computative Economics is not equilibrium in the static sense. It is equilibrium over the dynamics of generation. The fixed point is in the rate and structure of action-set expansion, not in a stationary action set.",
   "citation": "Wulf A. Kaal, Possibility Loops An Operational Architecture for Computative Economics in Agent Coordination Systems (2026). SSRN: https://ssrn.com/abstract=6655138",
   "datePublished": "2026",
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