Shaping the future as we bet

Abstract The rapid ascent of decentralized prediction platforms such as Polymarket signals more than a regulatory or financial controversy. This article argues that while prediction platforms represent a hyper-concentrated, automated case study, they instantiate a broader infrastructural condition of late technocapitalism: the hyperstitional collapse between representation and execution. Drawing on Nick Land’s accelerationist framework, the sociology of financial markets, and digital epistemology, we contend that prediction markets—much like conventional opinion polling, forward guidance, and algorithmic models—do not merely reflect probabilities but actively produce the futures they claim to forecast. However, whereas traditional polling operates through diffuse, human-mediated feedback loops (e.g., strategic voting and bandwagon dynamics), prediction markets intensify this operational logic by coupling real-time financial incentives, capital-weighted aggregation, and automated execution. We examine this hyperstitional condition across three registers: epistemological, ontological, and ethical.

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Publication Details

Journal
AI and Ethics
Published
2026-10-09
DOI
https://doi.org/10.1007/s43681-026-01432-5
Primary Topic
Ethics and Social Impacts of AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Shaping the future as we bet

Mirko Daniel Garasic
AI and Ethics
Ethics and Social Impacts of AI
article

Shaping the future as we bet

Mirko Daniel Garasic
article en

Abstract

Abstract The rapid ascent of decentralized prediction platforms such as Polymarket signals more than a regulatory or financial controversy. This article argues that while prediction platforms represent a hyper-concentrated, automated case study, they instantiate a broader infrastructural condition of late technocapitalism: the hyperstitional collapse between representation and execution. Drawing on Nick Land’s accelerationist framework, the sociology of financial markets, and digital epistemology, we contend that prediction markets—much like conventional opinion polling, forward guidance, and algorithmic models—do not merely reflect probabilities but actively produce the futures they claim to forecast. However, whereas traditional polling operates through diffuse, human-mediated feedback loops (e.g., strategic voting and bandwagon dynamics), prediction markets intensify this operational logic by coupling real-time financial incentives, capital-weighted aggregation, and automated execution. We examine this hyperstitional condition across three registers: epistemological, ontological, and ethical.

AI and EthicsVol. 6(6)
Roma Tre University (IT)
Openalex Percentile: Top 7%
Ethics and Social Impacts of AI
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