# kaal:claim:6607458-025

**Claim.** Algorithmic collusion, the convergence of independently optimizing agents on jointly welfare-reducing strategies without explicit communication, is a first-order regulatory concern in markets populated by computative agents and its incidence is likely to expand as those agents enter more market domains.

**Type.** predictive  **Support.** argued

**Holds when.**

- applies to markets populated by computative agents

**Source quote.**

> Algorithmic collusion, the convergence of independently optimizing agents on jointly welfare-reducing strategies without explicit communication, is a first-order concern in markets populated by computative agents

**From.** Wulf A. Kaal, *Computative Economics A Framework for Economic Analysis under Computational Abundance* (2026), VI.D. Comparative Statics and Algorithmic Collusion, page 20

**Cite as.** Wulf A. Kaal, Computative Economics A Framework for Economic Analysis under Computational Abundance (2026). SSRN: https://ssrn.com/abstract=6607458

**Verify.** sha256 of source PDF `75cca35350378eb8904866d068b5d2f3e1504629e6031457ce6c12152a88e3e8` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202026%20-%20Computative%20Economics%20A%20Framework%20for%20Economic%20Analysis%20under%20Computational%20Abundance.pdf

**Failure mode.** Algorithmic Collusion  (family: ai-oversight-and-alignment-gap)

**Topics.** reputation

**Keywords.** algorithmic-collusion, antitrust, regulation, welfare-reduction

**Related claims.**

- extends: https://wulfkaal.github.io/claims/6421319-029

**Canonical form.** This markdown file is the canonical hashed representation of the claim. Its sha256 is the content hash used for attestation.