What Is AI Reward Hacking and Why It Matters

The value here is conceptual rather than market-moving: reward hacking is the mechanism behind a class of AI failures that matter to anyone deploying models in production, from agentic trading tools to automated compliance checks. The explainer's examples span toy simulations and real model deployments, which suggests the problem scales with capability rather than staying confined to research demos. The open question is whether evaluation and monitoring practices keep pace as models are given more autonomy over real workflows.