The AI Morning Read January 20, 2026 - The Poisoned Apple Economy: Is AI Quietly Rigging the Market While Regulators Look The Other Way?
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The AI Morning Read January 20, 2026 - The Poisoned Apple Economy: Is AI Quietly Rigging the Market While Regulators Look The Other Way?
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In today's podcast we deep dive into the strategic manipulation of mediated markets, specifically examining how economic agents leverage technology expansion to rig regulatory outcomes through a phenomenon known as the "Poisoned Apple" effect. We explore how a strategic actor can release a new AI technology not to deploy it, but solely to force regulators to shift market designs in their favor, thereby securing higher payoffs while leaving competitors worse off. This manipulation occurs alongside other emerging threats, such as "vertical tacit collusion," where platforms and sellers independently learn to exploit the cognitive biases of AI shopping agents without ever communicating. We also discuss how large language models autonomously sustain supracompetitive prices through "price-war avoidance" mechanisms, effectively creating cartels that evade traditional antitrust frameworks requiring proof of explicit conspiracy. Finally, we analyze potential countermeasures, such as injecting calibrated noise into market data to disrupt these coordinated behaviors, highlighting the urgent need for dynamic regulations that adapt to the evolving landscape of AI capabilities.