SOURCE-LINKED INTELLIGENCE
The Profit Alignment Problem: How Profit Mandates Induce Alignment Failures in LLMs
We show that ordinary business language --- "maximize profitability" --- induces profit-oriented ambiguity resolution: LLMs systematically dismiss ambiguous signals of potential safety violations to serve business objectives. In 3,600 controlled trials across eight reasoning-capable LLMs, adding a profit mandate to otherwise identical prompts increases risk-dismissing judgments by 6.8 percentage points (p < 0.0001), suppresses board escalation recommendations by 13.9pp (p < 0.0001), and shifts severity assessments downward (p < 0.0001). The mandate never instructs models to downplay risks; ins
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-07T16:38:11.000Z
First collected: 2026-09-20T20:32:20.942Z. This is not the publication date.